8:00 PM-9:30 PM: Monday, 29 January 2024
8:00 PM-10:00 PM: Monday, 29 January 2024
Tuesday, 30 January 2024
7:00 AM-8:00 AM: Tuesday, 30 January 2024
This Town Hall will update the community on opportunities for Tropical Pacific field campaigns to support the Tropical Pacific Observing System (TPOS), and advance the goals of NOAA’s Precipitation Prediction Grand Challenge and the WCRP Global Precipitation Experiment. We will discuss upcoming process studies in the Tropical Pacific, TPOS implementation, and their key roles in supporting national and international initiatives. This is an opportunity to share NOAA program science plans with the broader science community, encourage community and other agency engagement, and enhance national and international collaborations. NOAA’s programs invite collaborations with the science community, other agencies, and international partners. NOAA Climate Variability and Predictability Program supports research for process studies: Pacific Upwelling and Mixing Physics and Air–sea Interaction at the eastern edge of the Warm Pool (TPOS 2020 Reports). It is anticipated that NOAA, and national and international partners will pursue a process study field effort in the Tropical Pacific in 2026 or 2027. NOAA Global Ocean Monitoring and Observing Program, with national and international partners, supports TPOS and advancement of the TPOS 2020 Project recommendations. We will discuss TPOS implementation status and upcoming process studies and provide an opportunity for community feedback, collaboration, and innovation.
NOAA Open Data Dissemination (NODD) leverages open data, public-private partnerships, and the cloud to support those living in a changing environment by disseminating NOAA data via the cloud. Through its 9 years, NODD has evolved significantly as users are transitioning to the cloud and relying on NOAA’s valuable environmental data. NOAA’s efforts support effective coordination and change in the organizations and individuals working on these issues, including the cloud service providers themselves.NODD’s technical and engagement experiences in this past year span greater coordination with NOAA Line Offices, deriving value from cloud metrics, understanding users' experience via “Office Hours” and user case studies which provide insight into their interoperability needs. With additional interagency coordination, these efforts collectively highlight the importance of seamless integration and coordination, avenues for improving accessibility, and perspectives from users on the need for enhanced cloud dissemination.NODD’s continued and consistent participation with AMS via Town Halls has highlighted the importance of data access via the cloud and the value of user engagement. The 2024 Town Hall spans technical, engagement and policy discussions, and delves into emerging technologies that end users and partners are harnessing to maximize the value and impact of NOAA’s data.
Given the need for more technological innovation in the geosciences to help achieve Net Zero and move to the new Green Economy and the growing challenges of climate and associated environmental change, increasing numbers of natural disasters, and the need to increase the resilience of communities impacted by these, the National Science Foundation is entering a new phase where use-inspired, translational, and transdisciplinary research is moving to the fore. To further this agenda, NSF and GEO have and are initiating new funding opportunities to encourage geoscientists to focus on research that quickly delivers results and impacts to society and the economy. These include programs that support collaboration with industry, local communities, and those in the medical/public health professions. Programs also include opportunities that help educate and support geo-entrepreneurs with a spectrum of programs that fund activities in customer discovery, prototyping, and commercialization. Come hear what’s new at NSF in these arenas, all of which move your ideas and research to greater impact and visibility of what you are doing.
7:30 AM-8:30 AM: Tuesday, 30 January 2024
8:30 AM-9:45 AM: Tuesday, 30 January 2024
Cloud-based technologies continue to evolve and mature in their use and application. This session will delve into the growing use of cloud hosting solutions applied to benefit the environmental sciences and specifically applications for data analysis, visualization and archiving of environmental information. This session encourages submissions on these topics, focusing on how submitters are incorporating cloud-based applications into their work, what they have done, and what advantages this approach has provided to their efforts.
8:30 AM-10:00 AM: Tuesday, 30 January 2024
Approximately 40% of the world's population resides within 100 km of the coastline, and coastal infrastructure handles up to 90% of international trade. The current record indicates a noticeable rise in coastal sea surface temperatures, which can potentially exacerbate coastal extreme events Coastal-urban areas are confronted with a multitude of challenges, including sea-level rise, alterations in river discharge patterns and flood recurrence intervals, shifts in the frequency, intensity, and duration of extreme events, coastal erosion, and the persistent expansion of urbanization itself. The interconnected nature of these challenges further complicates the planning of coastal-urban infrastructure and adaptation strategies. Urgent advancements are needed in comprehending those processes and their interactions to enhance forecasting techniques and Earth system models (ESMs). This will enable more precise modeling of specific events that have an impact on coastal and urban systems, ultimately supporting the resilience of energy and infrastructure. In this session, we invite submissions that investigate the processes associated with coastal urban thermodynamic and aerodynamic effects, urban aerosols, and their interactions with natural processes such as sea breezes.
Weather and climate influence nearly every aspect of our world. From ecosystems to human health, air quality, oceanography, energy usage, water resources, agriculture, transportation, climate change, and more, the atmosphere plays a leading role in shaping our natural and built environments. Applied climatology aims to identify and explain these relationships between the atmosphere and other human or environmental ‘outcomes’ of interest at a variety of spatial and temporal scales. This session welcomes research from the broad spectrum of applied studies in meteorology and climatology, including theoretical, modeling, and forecasting-based research. In particular, we encourage contributions that explore the interactions between synoptic-scale weather/climate processes and the various human and environmental phenomena affected by them, including the development and application of climate classifications.
The goal of Atmospheric Science Education Research (ASER) is to improve teaching and learning in atmospheric science through the development of evidence-based knowledge and practices. This includes both Discipline Based Education Research (DBER) as well as the Scholarship of Teaching and Learning (SoTL). DBER “investigates learning and teaching in a discipline using a range of methods with deep grounding in the discipline’s priorities, worldview, knowledge, and practices.” (National Research Council [NRC], 2012, p. 9), while SoTL aims to “Improve one’s own teaching practice through innovations in pedagogy and curriculum” (NAGT 2020). It has been shown that many in the atmospheric science community highly value education research (Kopacz et al. 2021), but the atmospheric science community has yet to broadly encourage this type of scholarship (Charlevoix 2008, NRC 2012). Effective education is important for our future workforce and for ensuring a scientifically literate populace as citizens need to be able to make informed decisions regarding environmental security issues (e.g., energy, health, food, and water) that will affect the quality of their lives and those of their children (e.g., United States Global Change Research Program [USGCRP], 2009).
This session will feature reflections on and evaluations of teaching strategies or activities (SoTL) to theory-driven research on teaching and learning in the atmospheric sciences (ASER).
References:
Charlevoix, D. J., 2008: Improving teaching and learning through classroom research. Bull. Amer. Meteor. Soc, 89, 1659-1664, http://dx.doi.org/10.1175/2008BAMS2162.1.
Kopacz, D. M. , L. C. Maudlin, W. J. Flynn, Z. J. Handlos, A. Hirsch, and S. Gill , 2021: Involvement in and perception of atmospheric science education research. Bull. Amer. Meteor. Soc., 102, E717– E729, https://doi.org/10.1175/BAMS-D-19-0230.1.
NAGT, 2020: Publishing SoTL vs DBER. Accessed 5 August 2020, https://nagt.org/nagt/geoedresearch/toolbox/publishing/sotl_dber.html.
National Research Council, 2012: Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. National Academies Press, 282 pp.
USGRP, 2009: Global Climate Change Impacts in the United States 2009 Report. Accessed 14 April 2023, https://nca2009.globalchange.gov/about-report/index.html.
NASA has selected three science centers to continue their work to address grand challenge science goals. Called Diversify, Realize, Integrate, Venture, Educate (DRIVE) Science Centers, they support science that requires more than individual investigators or small teams and support supporting multi-institution, multi-/inter-/trans disciplinary collaborations. They bring synergistic, coordinated efforts to achieve innovative, breakthrough science that is both ambitious and achievable. The DRIVE Centers use the wide range of expertise in their diverse science teams – scientific, computation, and educational – to deliver on major advances in the field of heliophysics. NASA Space Weather Program has also included Space Weather Centers of Excellence (SWxC) in its portfolio. These are integrated multi-agency efforts to advance the science and technology of space weather. Like the Science DRIVE Centers, the SWxC program element is envisioned as supporting multi-institution, multi-/inter-/trans disciplinary collaborations that address grand challenge goals of space weather, and which are ambitious in scope and transformative in nature. This session invites the DRIVE and SWxC teams to present on their Centers, achievements, and outlook.
This session seeks papers on Ensemble and Multimodel Forecasting, including Postprocessing and Decision support
This session will explore efforts of weather forecasting and services that help support Limited English Proficiency (LEP) communities.
Remote sensing provides the opportunity to expand spatial coverage of measurements beyond what many in-situ networks can provide. Methods, including radar, lidar, and satellite-based systems, are utilized constantly for the measurement and monitoring of the planet and its atmosphere. This session focuses on all aspects of remote sensing of the atmosphere, including specific techniques, innovative measurements, and outcomes.
Dust aerosols play important roles in the Earth system by degrading air quality, influencing weather systems, perturbing radiation budget, modulating biogeochemical cycles, and affecting the climate. Assessing these impacts requires realistic and accurate characterization of dust particle properties, emissions, transport, and deposition. This session invites presentations that report the latest advances in modeling and observational characterization of dust and its impacts on various components of the Earth system, including but not limited to: (1) properties and distributions of dust assessed from in situ and remote sensing measurements; (2) dust emission and transport quantified using observations and models; (3) dust variability in association with climate variability and anthropogenic activities on various time scales; (4) effects of dust aerosols on radiation budget and cloud microphysics (i.e., direct, indirect, and semi-direct effects); (5) interactions of dust with precipitation, circulation, and regional climate (e.g., African easterly jet–African easterly wave system, African and Indian monsoons, tropical cyclones, mesoscale convective complexes, and springtime cyclones over Southern Europe and Asia); (6) interactions with global biogeochemical cycle; (7) dust impacts on air quality and public health; and (8) novel use of observations to constrain dust modeling.
This session welcomes studies funded by, but not limited to, NASA’s Atmospheric Composition Modeling and Analysis Program (ACMAP) and Aura Science Team research programs. In particular, studies related to global and regional modeling and/or data analysis in the area of atmospheric chemistry, air quality, and the oxidation efficiency in the troposphere, stratospheric chemistry and ozone depletion, and interactions between atmospheric chemistry and the climate are welcome. Studies of long-term trends in atmospheric composition are also of interest, where the connection between cause and effect is elucidated using models. The session also welcomes studies that integrate observations with models to address attribution and predictions. The use of satellite observations, suborbital data sets, and ground-based measurements are encouraged for modeling constraints and verification where applicable.
Talks within this session are centered around how scientists and organizations can make climate science actionable and equitable and to consider our role as advocates.
This session will be a Panel Discussion on the history of the Hurricane Analysis and Forecasting model from inception in HFIP to operations as part of the greater Unified Forecast System (UFS).
The Hurricane Analysis and Forecasting System (HAFS) is NOAA’s next-generation, multi-scale numerical model and data assimilation package, which will provide operational analysis and forecast out to seven days. HAFS will provide reliable and skillful guidance on Tropical Cyclone (TC) track and intensity (including RI), storm size, genesis, storm surge, rainfall, and tornadoes associated with TCs. The initial operational capacity of HAFS was approved by National Weather Service (NWS) for operational implementation for the 2023 hurricane season. HAFS comprises five major components: 1) storm-following telescopic moving nests, (2) high-resolution physics configured for TC application, (3) multi-scale Data Assimilation (DA) with vortex initialization, (4) full three-way atmosphere-ocean-wave coupling framework, and (5) intensive hurricane observational platforms to support the multi-scale DA system, the physics packages evaluation and improvement, and forecast verifications.
Conveners: Sundararaman Gopalakrishnan, NOAA/AOML/HRD and Aaron Poyer, NOAA/NWS/STI
Calibration/Validation and Verification are essential parts of data quality assurance and is critically important for operational radiance assimilation in numerical weather prediction (NWP), climate change detection, generation of all environmental data records, and retrieval continuity across multiple overlapping sensor records, including atmospheric soundings, aerosols, fire, trace gas, cloud, sea surface temperature, ocean color, land, vegetation, and cryosphere. For example, understanding the error characteristics of satellite observations and reconciling the biases are important for data assimilation in NWP models; interpreting the small changes in the time series of temperature, trace gas, aerosols, ocean color, and other products depends on the stability of the underlining reprocessed fundamental data records; analysis of the trend of global climate change highly relies on the assumption that the data used are extremely stable and accurate. As more small satellites are launched into space with new technologies in passive and active sensors providing an unprecedented, large volume of data and covering almost the entire electromagnetic spectrum, data consistency, latency, usability, and sustainability may become challenges for operational forecasters, who need to become prepared to expand the algorithms and skills to take full advantages of the new observations. This session will highlight ongoing calibration and validation research that will aid the operational use of the data to explore opportunities and meet challenges of the evolving multitude of Earth and atmospheric observations from satellites, in-situ, and other platforms in the coming years to benefit the society.
Conveners: Changyong Cao, NOAA/NESDIS/STAR, David Robert Doelling,
NASA LaRC, and Stephen A. Mango, NOAA/NESDIS/OSAAP Affiliate and ISS, Inc.
Air quality is a global public health challenge with regionally-specific drivers and control strategies. Variations in meteorology and climate coupled with emission source types and atmospheric chemical processes lead to diverse air quality impacts at regional scale. This session solicits submissions from observational and modeling studies on air pollution in different regions within North America and around the world. Observational studies that include remote sensing, in-situ measurements, analysis from recent field intensives or a combination of these approaches are encouraged. Laboratory studies of important atmospheric chemical processes and progress toward the development of chemical mechanisms are also of interest. Modeling studies that use observations and laboratory data to improve predictive skills of air quality are welcome. Relevant air quality issues include, but are not limited to, near-surface ozone, fine particles, smoke from wild and prescribed fires, visibility, regional haze, air quality-climate interactions, emissions and trends, and inequities in pollutant exposure and health impacts.
The NOAA Testbeds and Proving Grounds (TBPGs) are cross-NOAA networks that are crucial for transitioning research on hazards forecasting and risk communication into operations at NOAA. TBPGs are working relationships for developmental testing, in a quasi-operational framework among researchers and operational scientists /experts (measurement specialists, forecasters, IT specialists, social scientists, etc.) including partners in academia, the private sector and government agencies, aimed at solving operational problems or enhancing operations, all in the context of user needs. TBPGs have four major roles. First, they are devoted to testing, evaluating, and refining the emerging probabilistic innovations that are at the forefront of forecasting a continuum of environmental threats. Second, they design and develop products to communicate risk in order to advance actionable outlooks, watches, and warnings. This includes translating hazards into impacts, optimizing watches/warnings, and facilitating social science studies to understand how these products are interpreted. Third, they put innovations in front of NOAA forecasters and users, including emergency managers and broadcast meteorologists, to introduce them to new products and get feedback on their development. Finally, they provide feedback from operations and testing into research and research priorities. Testing and evaluation are iterative, with innovations often going through several rounds of testing and refinement in experiments.
This session will include presentations from facilitators, researchers, and developers in TBPG activities across a range of hazards, and across the four types of testbed roles, including the testing and evaluation of advanced modeling, data assimilation, science and product development to advance forecasting and communication of those hazards. These hazards include, but are not limited to, aviation, fire and space weather, heavy precipitation, heat, winter storms, severe storms and tornadoes, hurricanes, hazards in the Arctic and Alaska, and coastal and ocean hazards.
Ultimately these innovations in weather, water, and climate applications are available for use by decision makers and other end users and the public for societal benefits. This session will illustrate the roles and efforts of TBPGs to conduct testing and evaluation to enable and accelerate the transition of innovations to NOAA operations, including products and services on environmental hazards at the National Weather Service, National Ocean Service, and the National Environmental Satellite and Data Information Service.
Conveners: Chandra Kondragunta (NOAA/OAR/WPO),
Andrea Ray (NOAA/OAR/PSL), James Nelson (NOAA/NWS/WPC),
Jordan Dale (NOAA/OAR/WPO), Louisa Nance (NCAR/RAL/JNT)
Wildfires have become a global concern, posing significant threats to ecosystems, human lives, and economies. This session aims to explore on various aspects of wildfires, including their causes, ecological consequences, socio-economic impacts, and innovative strategies for prevention, preparedness, and response.
Communities across the globe tackle complex challenges relating to environmental health topics, including mitigating poor air quality, enhancing infectious disease preparedness, reinforcing national health system response, and how these topics are impacted by our consistently changing environment. Significant advancements have been achieved by incorporating the use of remotely sensed and other geospatial Earth data and technologies into their research applications but are increasingly important to integrate into decision-making frameworks within air quality and public health sectors. Through this session, we encourage submissions that describe research applications of multidisciplinary teams that incorporate Earth observations to advance existing knowledge about our changing planet. Possible topics can include, but are not limited to, environmental health risk assessments, research connected with current and future NASA missions, and community engagement with citizen science activities, in efforts to propel scientific advancements that improve health decision-making at local, national, and international levels.
Earth Systems Models (ESMs) are the primary tool used by scientists to understand earth system dynamics and variability and make future climate projections. The accuracy of ESMs has increased significantly in recent years due to advances in numerical modeling and computational tools, allowing them to be run with more precision at increasingly higher resolutions on high performance computers (HPC). Earth system processes are primarily described by non-linear differential equations that interact with other complex and non-linear components on differing spatial and temporal, resolved and unresolved scales. The increase in the degrees of freedom with resolution implies that solving these multi-scale equations for high resolution models becomes computationally prohibitive, even on leadership-class HPC. Moreover, the unresolved processes also account for a large source of uncertainty in ESMs, as they are approximated from the resolved scales through parameterization schemes.
Recently, researchers have been exploring the use of AI to aid parametrizations of a wide range of sub-grid scale processes including but not limited to radiation, convective processes, aerosol and cloud microphysics, atmospheric chemistry, ocean physics, and land processes. ML can be used to create new parametrizations, or improve current ones, by training a statistical model to effectively emulate a complex physical phenomenon. ML techniques are capable of learning and accurately simulating nonlinear functions when trained on large datasets. Once trained, these models can provide fast calculation of sub-grid scale processes, particularly on hybrid architectures. Current ML tools used for parametrization tasks include neural networks (NN), deep learning, random forests (RF), and general adversarial networks (GAN). Several studies have also shown the usefulness of hybrid approaches called physics informed ML, also known as knowledge guided ML, for incorporating domain knowledge and physical principles into the ML techniques mentioned above. The main challenges of utilizing these ML approaches include the limited explainability and uncertainty quantification of the resulting models. Alleviating these limitations would boost our confidence in the applicability of the ML models to future projections.
We aim to explore different ways ML techniques can assist in defining and representing parametrization processes across earth system modeling. Submissions related to the use of ML techniques for ESM parametrization including emulation, replacement and acceleration of current parameterization schemes are sought to further our understanding of advanced ways to address model run-time expense, accuracy, sensitivity and uncertainty.
One of the tenets of big data is the idea of the (2,4, 7) V’s - Volume, Velocity, Variety, Variability, Veracity, Visualization, and Value. With the increase in the volume and velocity of data, access becomes ever more challenging. Users have access to more types of data and they can become overwhelmed by the possibilities. In the past, data access has been confusing but now there is more user engagement in building friendlier and more usable interfaces. Discovery is now more flexible and all encompassing - for example using schema.org to enable data discovery and via Google search. This increased use of data is not limited to scientists and other professionals. Citizens use data more than they realize (maps, elevation charts, tides, etc.) so they are constantly accessing data from a variety of sources.
There remains a broader community goal to have improved data access with the aim of democratizing data by removing gatekeepers so that data are unrestricted and available in a meaningful way to all. Improved access to data also supports data equity - “The term “data equity” captures a complex and multi-faceted set of ideas. It refers to the consideration, through an equity lens, of the ways in which data is collected, analyzed, interpreted, and distributed.” By making data more easily accessed and used we also make the ability to use data more equitable. We want to gather a set of papers that bring together all aspects of the data access process with a focus on improving data access for a wide range of users. We propose the following structure:
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
This session will focus on applications of artificial intelligence (AI) and machine learning (ML) to problems in ARAM research and operations. Topics may include the use of AI and ML algorithms in conjunction with data from observing systems and numerical weather models that can be applied to a wide variety of aviation and aerospace research and operational areas. Themes could include the use of AI/ML in current research endeavors, as well as the integration of AI/ML is operations for commercial and military aviation and range activities.
Land-atmosphere and land-ocean interactions play a key role in climate variability and change, as well as in climate/weather predictability across space and time. The land’s role in the Earth system – its impact on atmospheric and ocean climatology and variability across a broad range of timescales, ranging from hours to centuries, for past, present, and future climates – has been the subject of much recent exploratory research, and is essential for addressing the challenges of living in a changing environment. The meteorological, hydrological, biophysical, biogeochemical, and ecosystem processes, as well as the boundary-layer processes, that underlie the connections between surface and atmosphere are not yet fully understood. The scarcity of relevant observations, the complexity of the underlying processes and feedbacks, and the wide range of scales involved necessitate coordinated and increasingly interdisciplinary investigations. This session focuses on (1) understanding, analysis, prediction, and attribution of extreme hydroclimate events in the context of land-atmosphere and land-ocean interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamic, physical, and biogeochemical mechanisms by which land processes (including those associated with large scale agriculture and land-use change) influence the Earth system on subseasonal to decadal time scales; (3) predictability associated with land initialization (i.e., soil moisture, soil temperature, vegetation, snow, and aerosol in snow, etc.) and land–atmosphere/ocean interactions from subseasonal to decadal time scales; and (4) application and analyses of large scale field campaign data, national and international observational networks (e.g., FLUXNET), satellite remote sensing (e.g., SMAP, OCO-2), and reanalysis for land model development and land-atmosphere and land-ocean interaction studies. This session will contribute to advance the land component in the earth system modeling and understanding its critical scientific role. We welcome papers addressing any of these topics.
Submitters: Yongkang Xue, Univ. of California, Los Angeles, Los Angeles, CA; Randal D. Koster, GMAO, Greenbelt, MD; Michael B. Ek, NCAR, Boulder, CO and Craig R. Ferguson, Department of Atmospheric and Environmental Sciences, Univ. at Albany, Albany, NY
Risk communication encompasses a broad range of theories and approaches, though a common theme in the Weather Enterprise is how to improve aspects of the forecast and warning process through a better understanding of challenges along the end-to-end communication spectrum, from experts to publics. Papers and presentations in this session highlight research findings, challenges, and collective experiences with the weather forecast and warning process through the lens of risk communication.
Following on from the well-attended, highly-engaging congressional staff panels session at the last several AMS Annual meetings, this session will focus on the U.S. Congress, current and proposed legislation - and particularly on the expected reauthorization of the Weather, Research, Forecast, and Innovation Act of 2017 - and Congress’ impact on the Weather, Water, and Climate Enterprise. A panel of Congressional staffers will look back at the first session of the 118th Congress, and will provide insight on prospects for weather-related law-making in the second half of the 118th Congress, and beyond.
Like a mini-AMS Washington Forum, this session will provide an opportunity for Annual Meeting attendees to hear from and engage with Congressional staff, Federal agency representatives, and industry advocates who are integrally involved in the legislative and policy-making processes.
More and more communities are experiencing “once in a lifetime” events and dealing with the aftermath of a major disaster, from the individual homeowner to the neighborhood associations, impacting utility services, towns, cities, and states. This panel will focus on the tragedy in Lahaina, Hawaii, and include discussions on preparedness, response, recovery and future mitigation as well as efforts to build community resilience.
Our invited panelists all have a direct connection to this event, with involvement in the weather, water, climate, engineering and emergency management operations during and/or after the event. Discussions include where the National Weather Service is heading with its fire weather program, upcoming changes in preparedness and communications, and how the area could potentially rebuild through a whole-of-government approach by leveraging research and collaborations across sectors.
9:00 AM-11:00 AM: Tuesday, 30 January 2024
Guest Coffee
Location: Pickersgill (Hilton Baltimore Inner Harbor)
All guests of registered attendees are invited to stop by to meet other guests.
10:00 AM-10:45 AM: Tuesday, 30 January 2024
Coffee Break [East Foyer and West Foyer Holiday Ballroom]
Location: Hilton Baltimore Inner Harbor
Coffee Break [Main Terrace (BCC), Camden Lobby (BCC), Hall E (BCC), Hall F (BCC)]
Location: The Baltimore Convention Center
A casual and cozy gathering provided by AMS BRAID where those who identify with this affinity space community may network informally. This dedicated location will include non-enclosed seating options for attendees. Take a break and build your network!
10:00 AM-4:30 PM: Tuesday, 30 January 2024
10:00 AM-6:45 PM: Tuesday, 30 January 2024
Throughout the week, you will also be able to connect with the AMS Staff and Beacons to further your knowledge on member resources, community engagement, volunteering opportunities, our high-impact journals, certification programs, K-12 education initiatives, opportunities for students and early career professionals, and the AMS Policy Program. AMS provides many opportunities for everyone across our community, whether you're a student, just starting your career, or have years of experience.
Tuesday, 30 January
10:00-10:45 AM, Brad Colman (AMS President)
3:00-3:45 PM, Kristie Franz (STAC Commissioner)
3:45-4:30 PM, Joseph Trujillo Falcón
6:00-6:45 PM, Tony Broccoli (Publications Commissioner)
10:45 AM-12:00 PM: Tuesday, 30 January 2024
This presidential session will focus on the critical scientific challenge of separating anthropogenic signals from those associated with natural variability. Decades of work have delivered increasing clarity in this area and are enabling stronger science-based statements and more compelling advocacy. The Session will start with a keynote lecture by Ben Santer, this year's Rossby Medal winner. His keynote lecture will briefly summarize this scientific progress and the factors that enabled it. The end of the lecture will introduce the subject of event attribution, leading into a panel discussion of how climate scientists attempt to quantify the influence of human-caused climate change on the likelihood, physical properties, and impacts of extreme weather events.
As forecasts continue to improve and their use-inspired applications continue to expand, the urgency for an inclusive, equitable, resilient workforce in the weather, water, and climate enterprise grows. The changing landscape of career opportunities available for atmospheric and climate scientists after graduation must be addressed by broadening access to workforce-relevant training and adapting current educational experiences and training to better prepare students for the wide variety of future jobs. Navigating the changing workforce needs requires a collective effort with strategic intentionality for engaging underserved communities, creating educational experiences that are equitably available to the full spectrum of the future workforce, and to elevate and empower leaders who champion inclusive excellence, equity, and resiliency in the weather, water, and climate enterprise.
This session brings together leaders in the weather, water, and climate enterprise for a meaningful fireside-style discussion about navigating the changing world and to address the who and how of (a) recognizing and defining the changing workforce needs, (b) broadening access and dismantling barriers in education and training the future workforce, (c) creating and advancing novel education and training strategies, and (d) developing and sustaining the onramps to emerging careers.
Addressing the myriad problems posed by climate change requires participation from a diverse slate of actors centering their research questions, approach, and solutions around the communities most burdened by climate change. Yet, investigator-initiated research historically has overlooked this type of stakeholder- and community-driven involvement. The Department of Energy’s Urban Integrated Field Laboratories (IFL) aim to fill this gap and provide knowledge that informs equitable solutions that can strengthen community-scale resilience, and in this presidential session the Baltimore Social-Environmental Collaborative IFL will be highlighted as an example of this research paradigm.
The town and gown approach of the Baltimore Social-Environmental Collaborative IFL leverages the leadership and the lived experience from universities in and around Baltimore, city agencies, and local communities. Agency perspectives provided by the panel will describe how the IFL program will inform climate action, develop a toolkit of solutions, and serve as a magnet for involvement from other government agencies. Local perspectives featured on this panel will discuss work already underway to develop climate mitigation and resiliency efforts in Baltimore, how the IFL program accelerates community goals, and how to build grassroots capacity and power in the face of historical axes of marginalization. The roundtable portion of this presidential session will encourage audience engagement and feedback on the current state and future of the IFL program and Baltimore’s Social-Environmental Collaborative.
People are changing Earth's climate and these changes pose serious danger to humanity and all of life. The changes in climate that people are causing are larger and faster than any humanity is known to have endured. Addressing climate change must be a top priority, if humanity and all life is to thrive. Therefore, the undersigned scientific societies and media organizations commit to working together to inform all audiences about the challenges and opportunities facing humanity at this point in the 21st century by signing a joint pledge to work together on all fronts from a science-based position to mitigate today's prevalent dis/mis-information about climate change.
Confirmed Global Climate-Weather-Ocean Science Organizations:
- International Forum of Meteorological Societies,
- Canadian Meteorological and Oceanographic Society,
- China Meteorological Society,
- Indian Meteorological Society,
- Australian Meteorological and Oceanographic Society,
- Meteorological Society of Japan,
- Korean Meteorological Society,
- Royal Meteorological Society,
- American Geosciences Institute,
- African Meteorological Society,
- More...
12:00 PM-1:45 PM: Tuesday, 30 January 2024
Lunch Break
Location: The Baltimore Convention Center
12:15 PM-1:15 PM: Tuesday, 30 January 2024
NOAA leaders will discuss NOAA’s role in global observations and climate services provided to the public. This town hall will help showcase how NOAA works with federal, private sector, academic, and international partners to timely develop and deliver the best products and services to address the climate crisis. The Inflation Reduction Act (IRA) of 2022 made the single largest investment in climate and energy in American history - come hear how NOAA is using this funding to open science!
The United States experiences some of the most extreme weather events of any nation. Faced with significant changes in climate that are driving the severity, frequency, and location of disruptive weather events, the demand for timely, reliable, and accurate weather forecasts and climate projections is increasing. The Ocean Enterprise, includes the public, private, non-profit, research and academic sectors that provide infrastructure and capacity for ocean observation, measurement and forecasting, or who deliver operational ocean information products and services. Given the crucial role that the ocean plays in determining weather and climate, how can the Ocean Enterprise best work with its counterpart, the Weather Enterprise, to help deliver improved forecast skill and better climate projections? This Town Hall will focus on discussing opportunities to expand and improve NOAA’s integration of ocean and coastal observing programs into forecasting systems. The town hall will also explore ways to further evolve connections between the Ocean and Weather Enterprises in the delivery of improved weather forecasts and climate projections in support of coastal resilience and the Blue Economy.
The US Government (USG) is hard at work identifying the range of climate security risks and opportunities so that US policymakers can best take action to protect our national security in a changing world. Congressionally mandated activities, such as the Climate Security Advisory Council—which brings together the US Intelligence Community and US Federal Science Agencies—and the National Academies Climate Security Roundtable—which leverages non-government experts—continue to explore both the physical and transition security risks of climate change. To help advance the work of policymakers and position the US at the forefront of knowledge, foundational research at the intersection of climate science and security analysis is needed, e.g., how climate risks influence environmental, infrastructure, and human impacts around the world. The complex and multi-dimensional nature of this challenge requires greater cross-disciplinary work that leverages the unique expertise from different research fields and embraces the systems-level approach required to respond to climate security risks. This agency update will provide an overview of observational, modeling, and analytic capabilities that are needed by the USG to support climate security analyses, how to combine output from these models with use cases and historical data and experience.
Rising concentrations of carbon dioxide (CO2) and methane (CH4) are the main drivers of climate change, responsible for more than 80% of the increase in radiative forcing relative to pre-industrial times (66% for CO2, 16% for CH4). The newly established US Government Greenhouse Gas Monitoring and Information Center (US GHG Center) is an interagency effort, led by NASA, to provide relevant, trusted, reliable greenhouse gas information and products to support climate change mitigation and adaptation decisions. This townhall provides an opportunity to view the latest in the development of the use cases, products, and the portal from the US GHG Center and allows stakeholders to share their thoughts on the current offerings, additional greenhouse gas information needed to support decision making, as well as provide space for discussion on private sector engagement, research advances in GHG monitoring products, and exploration of future partnerships.
12:30 PM-1:30 PM: Tuesday, 30 January 2024
An inclusive support space for transgender, non-binary, and gender non-conforming individuals and their allies on Tuesday, January 30, 2024 from 12:30-1:30PM in the Poe Room at the Hilton Baltimore Inner Harbor. This year’s event, titled “Transcending Barriers: Earth Sciences through Trans and Non-Binary Lenses” will commence with a brief group activity promoting collaboration and community-building. The remainder of the time will be dedicated to networking and socializing, providing an opportunity to connect with both old and new friends and build meaningful connections. Whether you prefer to join virtually or in person, this event will be open to all.
Join virtually here!
12:45 PM-1:05 PM: Tuesday, 30 January 2024
The focus of these 15–20-minute briefings will be on near- and short-term weather impacting the Baltimore, MD area, and extreme weather affecting urban or other vulnerable areas across the globe. The briefings will be given by students from the University of Georgia and the NOAA/NWS/Weather Prediction Center (WPC).
1:45 PM-3:00 PM: Tuesday, 30 January 2024
Several electric utilities are now required to implement Public Safety Power Shutoffs (PSPS) in response to elevated fire weather conditions. This topic should solicit presentations that example current forecast and monitoring practices in response to elevated fire weather conditions as well as ongoing research to improve forecast and monitoring capabilities and develop new technologies. Talks on PSPS decision making processes and workflow by meteorologists would also be relevant.
Mesonets provide invaluable services to a wide range of state, regional, and federal organizations. These services include real-time weather observations, historical trend analyses, data interpretations, and value-added products. Value-added products leverage and summarize mesonet data in engaging and accessible formats, including decision-support tools, newsletters, and social media posts, to name a few. This session aims to highlight how mesonets leverage their data-driven services to communicate weather and climate information while also engaging with and supporting the needs of regional stakeholders. We encourage submissions discussing: “end-to-end” processes for creating products, the purpose and need for creating these products, various avenues taken to communicate with and engage stakeholders, and best practices/lessons learned for effective communication and engagement. Additional topics of interest may include the generation of weather event products for targeted audiences (such as real time tracking of a total solar eclipse or total precipitation from tropical systems), educational outreach, and how these weather event products connect larger groups with their mesonet.
Advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques present an opportunity to establish and develop a new paradigm for science and operations in the space weather community. Bridging the gap between the space science and the AI/ML community is crucial to working with the enormous datasets collected by space missions. Large, and freely available datasets of in-situ and remote observations collected over several decades of space missions allow for space weather to be an ideal application for contemporary AI/ML methods. We envision an all-encompassing session with presentations, including but not limited to, discussing the advances in space weather utilizing the nontraditional AI/ML approaches that consider the nonlinear and complex dynamics of space weather to improve classification, identification, and modeling and forecasting with uncertainty quantification and propagation. Studies that discuss evaluation metrics, uncertainty quantification, comparison of methods, reproducibility of results, and the use of novel techniques in the context of predictive space weather applications are encouraged. Finally, the application of machine learning for uncovering new scientific knowledge is also strongly encouraged.
The need for very accurate wind observations has long been a high priority in the science community, as they have been shown to lead to increased skill in retrieving and assimilating, e.g., atmospheric motion vector (AMV) winds from space-based passive sounding and imaging instruments. However, in the current Earth observing architecture there remains a gap in direct wind observations, e.g., in the upper troposphere/lower stratosphere. To help fill this gap and address the need for highly accurate winds, ongoing international efforts are assessing the value and potential of observed winds using innovative technology, such as active wind lidar (like Aeolus) and machine learning, and include data assimilation, impact assessments, and direct wind measurement comparisons with other wind observations, including radiosondes, airborne and ground-based Doppler lidars, and those derived from satellite imagery (AMVs).
In August 2018 the European Space Agency (ESA) launched the first space-based Doppler wind lidar (DWL) onboard Aeolus in order to acquire 3D profiles of wind on a global scale. Since then, the mission has consistently provided global wind profiles and corresponding aerosol data products for research endeavors and operations. Several weather forecast centers including the European Centre for Medium-Range Weather Forecasts (ECMWF), Deutscher Wetterdienst, Météo-France, and the U.K. MetOffice, are operationally assimilating Aeolus wind observations and demonstrating their positive impact on forecast skill.
This session seeks presentations on the following: (a) activities including field campaigns involving ESA’s Aeolus wind observations, or those observed using other innovative technology; (b) impact assessment of assimilated wind observations; (c) studies using machine learning to improve wind forecasts; (d) methods to combine active and passive observations of 3D winds to increase the positive impact of both on forecast skill; (e) OSSE study results related to active and passive atmospheric wind observations; and (e) objectives and roadmaps for future Aeolus and other wind-related missions.
Weather, climate and water affect all life on our planet and NOAA’s mission is to understand and predict our changing environment and conserve America’s coastal and marine resources. This session will highlight available NOAA student funding and experiential learning opportunities and serve as a platform for current students and program alumni to share how the experience influenced their academic and career paths, expanded their networks and improved their skill and knowledge. NOAA mentors will discuss the significant impact made by the programs and the students in fulfilling NOAA’s mission. In addition, NOAA’s Office of Education will share the impact of NOAA’s long standing investment in higher education, moving the needle in the demographics of degree recipients and making strides in recruiting the next generation workforce.
As extreme heat episodes become longer, more frequent, and more intense worldwide due to climate change and urban growth, research applications that characterize risks of adverse impacts to human health and related/indirect compounding issues affecting health such as critical infrastructure failure and the economic impacts can help to identify vulnerable populations and target appropriate heat interventions. We invite abstracts that examine extreme heat risks from distinct approaches, including temperature forecasting, occupational health, sports medicine, exposure assessment, and urban planning.
Session on Weather and Climate Predictions for Coastal Regions
Aerosol interacts with radiation in both solar and thermal infrared spectrum through scattering, absorption, and emission, which in turn influences the radiative energy distribution and thermodynamical structure of the Earth-atmosphere system. This session seeks recent research advancing process-level understanding of the aerosol-radiation interactions (ARI), including but not limited to, the following topics: 1) how ARI influences the energy balance and thermodynamical structure of the Earth-atmosphere system 2) how the direct and semidirect radiative effects of aerosols influence mesoscale and synoptic-scale weather systems and climate, including, but are not limited to, wave systems, monsoons, tropical cyclones, and mesoscale convective complexes; 3) understanding of how environmental factors, such as underlying and surrounding clouds (e.g., “twilight zone”), surface brightness and meteorological conditions influence the radiative effects of aerosols. 4) novel measurement (e.g., laboratory, in situ, and remote sensing) and modeling (e.g., radiative transfer modeling, LES to global scale) techniques to quantify aerosol–radiation interactions and their impacts. 5) ARI in past climate change and future climate prediction; vi) ARI influences on the atmospheric boundary layer and feedback on air quality; and 6) how aging and chemical interactions impacts ARI.
This session highlights advances in the development and applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in hydrological, hydrometeorological, and hydroclimatological analysis, modeling, and predictions across a wide range of scales in space (local-to-global) and time (hours-to-decades). This includes theoretical developments in physics-informed machine learning, knowledge guided deep learning, hydroinformatics, and their applications in areas related to hydrology and water resources. We also encourage papers on the application of AI/ML/DL in improving process-based hydrological and land surface models, uncertainty quantification, and hydrologically relevant climate downscaling. Papers describing current challenges for model developers and users are also welcome, with a special interest in highlighting needs and opportunities to address national and societal challenges for living in a changing environment.
Submitters: Guiling Wang, Univ. of Connecticut, Storrs, CT; Sujay V. Kumar, Code 617 (HSL), GSFC, Greenbelt, MD; Forrest M. Hoffman, PhD, Earth System Science, Computational Earth Sciences Group, ORNL, Oak Ridge, TN and Heather Grams, Element 84, Alexandria, VA
El Niño Southern Oscillation (ENSO) is the dominant mode of variability in the tropical Pacific at interannual timescales. Given its large-scale influence and global impacts, understanding, predicting and projecting ENSO and potential changes in ENSO is of great societal relevance. ENSO events are the result of complex ocean-atmosphere feedbacks, mediated by influences from the extra-tropical Pacific as well as Atlantic and Indian Oceans which may be stochastic in nature. As a result, ENSO events are very diverse in their initiation, development, demise, and spatial patterns, posing great challenges to our ability to predict them. Climate change is also expected to alter ENSO characteristics and the associated local and remote impacts. This session invites contributions that explore all aspects of ENSO, including its dynamics, diversity, predictability and prediction, teleconnections, impacts, and future projections from observational, theoretical and modeling perspectives. Contributions that examine the role of inter-basin interactions on ENSO development and diversity are also welcome.
The poorly understood interactions between atmospheric aerosols and clouds are a major source of uncertainty in the Earth's radiative budget, resulting in a wide range of predicted climate sensitivities. Therefore, any attempt to forecast long-term climate change must begin with an accurate representation of aerosols and clouds.
In this session, we welcome presentations covering all aspects of laboratory experiments, field observations, and modeling research on the chemical and physical mechanisms that drive the formation of atmospheric aerosols and cloud condensation nuclei (CCN). Topics of interest include, but are not limited to, (1) molecular-level understanding of aerosol formation and growth to CCN sizes; (2) ground-based, airborne, and remote measurements of CCN; (3) regional and global modeling of CCN distribution and climate impact; (4) the contribution of acid-base and organic compounds to cloud formation; (5) the effect of aerosol morphology and phase state on cloud properties; and (6) the role of cloud processing (e.g. cloud chemistry, wet scavenging, and detrainment) in aerosol and cloud formation.
NOAA continues to make tremendous strides integrating social, behavioral, and economic sciences (SBES) research into operations, moving us toward a weather-ready nation. The SBES programs in OAR’s Weather Program Office and the NWS’ Office of Science and Technology Integration work together to advance SBES research and to transition findings to support products and services. Although NOAA has made significant advances in the application of social science across its mission areas, challenges persist with providing equitable services, understanding and addressing diverse user needs, and assessing and measuring research to operations outcomes. To address these challenges, NOAA needs to facilitate a weather enterprise approach that includes our partners in academia, private industries, as well as faith and community based organizations. This panel session will research that can help to improve NOAA's services and products.
Federal government agencies active in meteorological services and supporting research have worked together for decades using existing programs, projects and coordination mechanisms, which involve multiple government agencies and aim to increase overall effectiveness within the Federal Weather Enterprise (FWE).
This session will begin with a description of the new Interagency Council for the Advancement of Meteorological Services (ICAMS), the first significant reorganization of the Federal meteorological enterprise since the 1960s. A 10-year charter established ICAMS as the formal mechanism by which all relevant Federal departments and agencies coordinate implementation of policy and practices to ensure U.S. global leadership in the meteorological services enterprise, from local weather to global climate. In doing so, ICAMS improves coordination, as mandated by the Weather Research and Forecasting Innovation Act of 2017. This session will focus on the furthering and expanding work that has been done over the last two years to integrate a whole of government approach to Federal Weather Enterprise and Non-Federal partners,  leveraging organizations across the country to institute end-to-end processes to advance weather services for the United States.
This workshop is designed to equip women in the Weather Water and Climate enterprise with the tools and strategies they need to thrive in a changing environment. Through interactive discussions and activities, participants will explore the challenges and opportunities presented by change, and develop practical skills to navigate them successfully.
The workshop will cover a range of topics, including:
- Adapting to change: Strategies for embracing change and managing uncertainty.
- Building resilience: Techniques for managing stress and building emotional resilience.
- Career transitions: Strategies for successfully navigating career transitions, including changing industries, starting a business, or returning to school.
- Leadership in uncertainty: Developing the skills and confidence to lead through times of change.
- Self-care and wellness: Prioritizing self-care and wellness to support personal and professional growth.
- Advocacy and activism: Strategies for using your voice and influence to advocate for positive change in your community and workplace.
- Diversity, equity, and inclusion: How to ensure that diversity, equity, and inclusion remain a priority during times of change.
Participants will also have opportunities to connect with other women in their field, build a network of support, and gain valuable insights and advice from experienced professionals.
Please note this workshop will be in-person only.
Aerosol-cloud interactions make a large but also very uncertain contribution to present-day global climate forcing; they are leveraged locally to induce or suppress precipitation (“cloud seeding”); and they are being considered as a possible mechanism for slowing climate warming through two climate intervention approaches (brightening low-lying marine clouds or thinning high-altitude cirrus clouds). While these categories of aerosol-cloud interactions have differences in being unintentional (the first) or intentional (the latter two), and with very different end-goals, all three share common physics and sources of uncertainty. Further, while cloud seeding is a technology historically used to enhance precipitation over local watersheds, some regions are now deploying larger-scale cloud seeding efforts to have more regional impacts on water resources, bringing the scale at which it would operate closer to that from inadvertent aerosol-cloud interactions or for climate intervention. All three have in common the need to better understand cloud responses to aerosol perturbations across a range of scales, how these responses depend on the background aerosol and meteorological conditions, and on feedbacks from the cloud responses back to the aerosol itself.
This session invites presentations on these processes, spanning climate forcing, regional precipitation enhancement, and regional-to-global climate intervention, using numerical modeling studies, analyses of observations of deliberate cloud seeding (e.g., SNOWIE), and studies of inadvertent analogues (e.g., ship tracks and contrails). This session aims to bring together scientists from both the weather and climate fields to foster dialogue in an area of common interest.
This session is organized to provide an opportunity to the AMS community including all levels (students, grads, post-docs, faculty/scientists) to be informed about the existing systems of funding and research opportunities, current scheduled experiments to engage on, observational
networks and current monitoring facilities and datasets. The session covers the global areas of earth system sciences predictability related to weather, ocean, climate and interfaces. The session hosts leaders in observation research programs to expand the access of observation platforms to a broader atmospheric science community, enable
experimental research and education in earth systems science, broaden participation of underrepresented groups in experimental learning and to provide pathways and detailed explanations of facility request to early career and new faculty. Presentations from program managers from funding
organizations, program directors from national centers and observational network leaders regarding established opportunities as well as potential ways of engaging students and early career faculty in observational research are welcome.
This proposed session topic will focus on effective weather communication to vulnerable communities, and applications for both short and long term weather hazards and climate impacts.
The need to understand linkages between climatic extremes and security outcomes such as displacement/migration, public health, and food/electricity production has never been higher. Analysis of these linkages requires integration of the Earth, social, economic, and political sciences as well as equitable access to community datasets, data proximate compute, community developed data analysis workflows and open source software tools. In this session, we invite submissions that discuss research, applications and initiatives that build upon the principles of FAIR (Findable, Accessible, Interoperable, and Reusable) Open Data and Software within the atmospheric and related sciences to drive new discoveries. We welcome technical, policy, and community-focused submissions on a range of topics related to facilitating transparency of science and leveraging community supported open science capabilities to drive research and operational outcomes. Examples include:
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- Research, operations and industry uses that employ a combination of public cloud compute, cloud hosted datasets such as those provided through NOAA’s Open Data Dissemination Program, and open source data analysis tools and workflows. With the increasing use of constellations of sensors and more and more observations being processed at the point of collection, this session explores the use of the Internet of Things to gather data and edge computing to process data. An example of this kind of technology is the Smart Great Lakes project (https://www.glos.us/smartgreatlakes/). Topics in this session might include: the deployment of IoT sensors for the collection of environmental data, techniques for processing data at the point of collection, integrating new data sources with existing data architectures, AI and the use of IoT sensors, the use of the cloud to gather and disseminate data, and information ecosystems based on smart technologies.
- Solutions for data and software discoverability, metadata creation and management, provenance tracking, and other relevant topics.
Platforms for reproducible research and reusable tools will accelerate the analytics enterprise and build the salience, credibility, and legitimacy required to effectively inform policy. This session will highlight emerging open-science tools and platforms for weather and climate-security analysis.
Land-atmosphere and land-ocean interactions play a key role in climate variability and change, as well as in climate/weather predictability across space and time. The land’s role in the Earth system – its impact on atmospheric and ocean climatology and variability across a broad range of timescales, ranging from hours to centuries, for past, present, and future climates – has been the subject of much recent exploratory research, and is essential for addressing the challenges of living in a changing environment. The meteorological, hydrological, biophysical, biogeochemical, and ecosystem processes, as well as the boundary-layer processes, that underlie the connections between surface and atmosphere are not yet fully understood. The scarcity of relevant observations, the complexity of the underlying processes and feedbacks, and the wide range of scales involved necessitate coordinated and increasingly interdisciplinary investigations. This session focuses on (1) understanding, analysis, prediction, and attribution of extreme hydroclimate events in the context of land-atmosphere and land-ocean interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamic, physical, and biogeochemical mechanisms by which land processes (including those associated with large scale agriculture and land-use change) influence the Earth system on subseasonal to decadal time scales; (3) predictability associated with land initialization (i.e., soil moisture, soil temperature, vegetation, snow, and aerosol in snow, etc.) and land–atmosphere/ocean interactions from subseasonal to decadal time scales; and (4) application and analyses of large scale field campaign data, national and international observational networks (e.g., FLUXNET), satellite remote sensing (e.g., SMAP, OCO-2), and reanalysis for land model development and land-atmosphere and land-ocean interaction studies. This session will contribute to advance the land component in the earth system modeling and understanding its critical scientific role. We welcome papers addressing any of these topics.
Submitters: Yongkang Xue, Univ. of California, Los Angeles, Los Angeles, CA; Randal D. Koster, GMAO, Greenbelt, MD; Michael B. Ek, NCAR, Boulder, CO and Craig R. Ferguson, Department of Atmospheric and Environmental Sciences, Univ. at Albany, Albany, NY
In our rapidly changing environment, climate mitigation and adaptation-related innovations are critical to ensuring future climate resilience. But how can we better foster such innovation? Protecting the intellectual property (IP) that underpins emerging technologies is a necessary step in promoting the sharing of knowledge and putting new innovations into use. Within the U.S. Department of Commerce, the U.S Patent and Trademark Office (USPTO) and National Oceanic and Atmospheric Administration (NOAA) understand how important the connection between IP and innovation is, and are taking steps to strengthen it. This panel brings together leaders from NOAA and USPTO to discuss the importance of protecting IP in the climate and blue economy space and the challenges and opportunities available to help protect it.
This session will feature a panel of Directors and Senior Managers from HPC Centers serving the Weather, Water and Climate community addressing the challenges they face in providing HPC services for research and operations – as well as the opportunities they see for enhancing the services they provide in the future. Each speaker will address the topic in a short presentation, followed by a panel discussion and questions from session attendees. Panelists are anticipated from Government agencies, research institutions, academia, and others. Previous year’s panels have been very informative and generated lively discussion, featuring speakers from NOAA, NASA, NCAR, DOD, ECMWF, and UKMet.
Engineers have done the research, the after action reviews, the damage surveys, etc. and thanks to their efforts, the construction industry is building in a way that reduces risk in a changing climate. Yet we continue to see the socially vulnerable struggle with access to the resources needed to mitigate disasters related to wind (tropical, synoptic and convective), excessive precipitation, heat/cold, storm surge, drought and wildfires.
Communities and individual populations do not have equitable abilities to mitigate disasters and often rely on government, faith and community based organizations for assistance. From how to communicate basic education on building codes and what to look for when buying a home to entire communities rebuilding after disaster, this session could look at all aspects that our engineering community is hoping to convey through those of us in the weather, water and climate enterprise.
This session will be a panel discussion on a specific weather event (to be identified as this year progresses) that includes invited specialists who are working towards improving how communities increase resilience to severe hydrometeorological events.
This session is designed to showcase how partners in the academic, public and private sectors help contribute to a Weather Ready Nation through structural, industrial and mechanical engineering practices with new research, policies and technologies and opportunities to partner with government and organizations with a goal of creating more resilient communities.
3:00 PM-3:40 PM: Tuesday, 30 January 2024
3:00 PM-4:30 PM: Tuesday, 30 January 2024
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
Proposed Topic Title
Wildfires around the world are increasing in frequency, size, and severity, including at the wildland-urban interface. These events pose threats to the ecosystems, processes, and lives within the areas they develop. The measurement of variables prior, during, and following fire events will become increasingly important as these events continue. This session focuses on new measurements of fire weather, wildfire, and the post-burn areas including observational strategies, new techniques, and recent results from field programs.
Land-atmosphere and land-ocean interactions play a key role in climate variability and change, as well as in climate/weather predictability across space and time. The land’s role in the Earth system – its impact on atmospheric and ocean climatology and variability across a broad range of timescales, ranging from hours to centuries, for past, present, and future climates – has been the subject of much recent exploratory research, and is essential for addressing the challenges of living in a changing environment. The meteorological, hydrological, biophysical, biogeochemical, and ecosystem processes, as well as the boundary-layer processes, that underlie the connections between surface and atmosphere are not yet fully understood. The scarcity of relevant observations, the complexity of the underlying processes and feedbacks, and the wide range of scales involved necessitate coordinated and increasingly interdisciplinary investigations. This session focuses on (1) understanding, analysis, prediction, and attribution of extreme hydroclimate events in the context of land-atmosphere and land-ocean interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamic, physical, and biogeochemical mechanisms by which land processes (including those associated with large scale agriculture and land-use change) influence the Earth system on subseasonal to decadal time scales; (3) predictability associated with land initialization (i.e., soil moisture, soil temperature, vegetation, snow, and aerosol in snow, etc.) and land–atmosphere/ocean interactions from subseasonal to decadal time scales; and (4) application and analyses of large scale field campaign data, national and international observational networks (e.g., FLUXNET), satellite remote sensing (e.g., SMAP, OCO-2), and reanalysis for land model development and land-atmosphere and land-ocean interaction studies. This session will contribute to advance the land component in the earth system modeling and understanding its critical scientific role. We welcome papers addressing any of these topics.
Submitters: Yongkang Xue, Univ. of California, Los Angeles, Los Angeles, CA; Randal D. Koster, GMAO, Greenbelt, MD; Michael B. Ek, NCAR, Boulder, CO and Craig R. Ferguson, Department of Atmospheric and Environmental Sciences, Univ. at Albany, Albany, NY
This session is calling for abstract submissions based on original studies that focus on marine fog physical and dynamical conditions or FATIMA field campaign. Abstracts dealing with observations, new and current technologies (TBS, UAVs), novel methods (e.g., AI applications and ML), high-resolution numerical modeling, NWP model forecasts, remote sensing, and physical parameterizations of fog are welcome from the US and international contributors.
Marine fog forecasting based on numerical modeling and observations are critical for transportation safety, ecosystems health, climate-change impacts, free- scale optical communications and directed energy applications. Researchers in the past have improved our basic understanding of the fog formation, development, and dissipation (i.e., lifecycle) with available limited instruments and numerical capabilities. Issues related to nucleation, chemical properties, microphysical processes and their interaction with dynamical processes such as turbulence, eddies, fluxes, however, have not been studied in detail. Lately, development of novel instruments and platforms have enabled detailed investigations into bio-geo-chemo-physical attributes of fog, and the project FATIMA (Fog and Turbulence in Marine Atmosphere) funded by the Office of Naval Research deployed state-of-the-art remote sensing, profiling and in-situ instrumentation to observe marine fog using multi-type of platforms – an instrumented research vessel, an ocean (oil) platform and a mid-ocean island. The experimental domain was the Grand Banks area in the Northern Atlantic Ocean, off Nova Scotia, Canada that is known for high fog occurrence (40-50%) during the summer. Ocean currents and atmospheric synoptic weather systems, sea surface temperature gradients, oceanic lateral and vertical mixing, atmospheric turbulence, thermodynamic parameters, numerous aerosol sources are some of the contributors to the lifecycle of marine fog.
Interactive Poster session showcasing the development and services of New climate and environmental security services.
Posters II
Location: Hall E (The Baltimore Convention Center)
Remote sensing provides the opportunity to expand spatial coverage of measurements beyond what many in-situ networks can provide. Methods, including radar, lidar, and satellite-based systems, are utilized constantly for the measurement and monitoring of the planet and its atmosphere. This session focuses on all aspects of remote sensing of the atmosphere, including specific techniques, innovative measurements, and outcomes.
3:40 PM-4:30 PM: Tuesday, 30 January 2024
3:45 PM-5:00 PM: Tuesday, 30 January 2024
3:50 PM-4:30 PM: Tuesday, 30 January 2024
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
Land-atmosphere and land-ocean interactions play a key role in climate variability and change, as well as in climate/weather predictability across space and time. The land’s role in the Earth system – its impact on atmospheric and ocean climatology and variability across a broad range of timescales, ranging from hours to centuries, for past, present, and future climates – has been the subject of much recent exploratory research, and is essential for addressing the challenges of living in a changing environment. The meteorological, hydrological, biophysical, biogeochemical, and ecosystem processes, as well as the boundary-layer processes, that underlie the connections between surface and atmosphere are not yet fully understood. The scarcity of relevant observations, the complexity of the underlying processes and feedbacks, and the wide range of scales involved necessitate coordinated and increasingly interdisciplinary investigations. This session focuses on (1) understanding, analysis, prediction, and attribution of extreme hydroclimate events in the context of land-atmosphere and land-ocean interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamic, physical, and biogeochemical mechanisms by which land processes (including those associated with large scale agriculture and land-use change) influence the Earth system on subseasonal to decadal time scales; (3) predictability associated with land initialization (i.e., soil moisture, soil temperature, vegetation, snow, and aerosol in snow, etc.) and land–atmosphere/ocean interactions from subseasonal to decadal time scales; and (4) application and analyses of large scale field campaign data, national and international observational networks (e.g., FLUXNET), satellite remote sensing (e.g., SMAP, OCO-2), and reanalysis for land model development and land-atmosphere and land-ocean interaction studies. This session will contribute to advance the land component in the earth system modeling and understanding its critical scientific role. We welcome papers addressing any of these topics.
Submitters: Yongkang Xue, Univ. of California, Los Angeles, Los Angeles, CA; Randal D. Koster, GMAO, Greenbelt, MD; Michael B. Ek, NCAR, Boulder, CO and Craig R. Ferguson, Department of Atmospheric and Environmental Sciences, Univ. at Albany, Albany, NY
4:30 PM-5:30 PM: Tuesday, 30 January 2024
This session will explore the use of high-performance computing to develop, run, enhance the performance of, and post-process output from numerical weather prediction models. Abstract topics may include (but are not limited to) improving computational performance and efficiency, improving scalability, approaches to parallelization, optimizing numerical weather models to benefit from the use of specialized hardware such as graphical processing units (GPUs) in HPC environments, workflow management, and many others.
4:30 PM-6:00 PM: Tuesday, 30 January 2024
Just as the world is heating up, so is the debate about the roles and responsibilities of government and the private sector in identifying climate-related physical risks, and identifying effective strategies for mitigation and adaptation. Climate risk data are widely viewed as a public good. And, public and private demand for that information has been growing rapidly over the last several years. Demand from the private sector is spurred by rapidly increasing pressure toward climate risk disclosure, and a growing interest among sophisticated data consumers to gain competitive advantages through climate risk assessments. The private sector offerings to support that demand have grown rapidly, and as a result there have been criticisms and doubts about the validity and efficacy of private sector-based data to address climate-related physical risks. On the other hand, government-based services often evolve slowly, at a pace that cannot meet the pace of demand for climate risk information.
Effective adaptation, in itself, requires multiple complex steps all built on fundamental climate science and the climate models that support parts of that value chain. The nature and complexity of the problem is so large that it appears obvious that the strengths of both the private sector and government are needed to address it. Authors contributing to peer-reviewed literature and the media have shined a spotlight recently, leveling criticism at both the rise of private sector climate analytics, and the lack of government leadership and oversight.
This session gathers members of government, the private sector, and academia to put these issues front and center, and explore pros and cons of methods and models being used in government and private sectors. A special emphasis is placed on the merits that may be drawn from methods that could combine the strengths of both government and the private sector.
Mesonets provide invaluable services to a wide range of state, regional, and federal organizations. These services include real-time weather observations, historical trend analyses, data interpretations, and value-added products. Value-added products leverage and summarize mesonet data in engaging and accessible formats, including decision-support tools, newsletters, and social media posts, to name a few. This session aims to highlight how mesonets leverage their data-driven services to communicate weather and climate information while also engaging with and supporting the needs of regional stakeholders. We encourage submissions discussing: “end-to-end” processes for creating products, the purpose and need for creating these products, various avenues taken to communicate with and engage stakeholders, and best practices/lessons learned for effective communication and engagement. Additional topics of interest may include the generation of weather event products for targeted audiences (such as real time tracking of a total solar eclipse or total precipitation from tropical systems), educational outreach, and how these weather event products connect larger groups with their mesonet.
This session is calling for abstract submissions based on original studies that focus on marine fog physical and dynamical conditions or FATIMA field campaign. Abstracts dealing with observations, new and current technologies (TBS, UAVs), novel methods (e.g., AI applications and ML), high-resolution numerical modeling, NWP model forecasts, remote sensing, and physical parameterizations of fog are welcome from the US and international contributors.
Marine fog forecasting based on numerical modeling and observations are critical for transportation safety, ecosystems health, climate-change impacts, free- scale optical communications and directed energy applications. Researchers in the past have improved our basic understanding of the fog formation, development, and dissipation (i.e., lifecycle) with available limited instruments and numerical capabilities. Issues related to nucleation, chemical properties, microphysical processes and their interaction with dynamical processes such as turbulence, eddies, fluxes, however, have not been studied in detail. Lately, development of novel instruments and platforms have enabled detailed investigations into bio-geo-chemo-physical attributes of fog, and the project FATIMA (Fog and Turbulence in Marine Atmosphere) funded by the Office of Naval Research deployed state-of-the-art remote sensing, profiling and in-situ instrumentation to observe marine fog using multi-type of platforms – an instrumented research vessel, an ocean (oil) platform and a mid-ocean island. The experimental domain was the Grand Banks area in the Northern Atlantic Ocean, off Nova Scotia, Canada that is known for high fog occurrence (40-50%) during the summer. Ocean currents and atmospheric synoptic weather systems, sea surface temperature gradients, oceanic lateral and vertical mixing, atmospheric turbulence, thermodynamic parameters, numerous aerosol sources are some of the contributors to the lifecycle of marine fog.
Improving short- and long-term predictive power and forecasting of climate hazards is an urgent challenge, as is quantitatively connecting those predictions to health impacts. This session will explore advances in the data and models that underlie predictive models and climate projections, as well as efforts to strengthen the quality and reach of climate hazard early warning systems and projections on all timescales (from day-to-day to end-of-century), for health impacts ranging from vector-borne disease outbreaks to heat waves.
The PROSWIFT Act states it is the policy of the United States to prepare and protect against the social and economic impacts of space weather, by engaging all sectors of the space weather community, including academia, the commercial sector, end users, and international partners. This session highlights the multiple avenues and advisory
bodies for this to take place.
In 2014 the Office of Science and Technology Policy (OSTP) chartered the White House Space Weather Operations, Research, and Mitigation (SWORM) Subcommittee
composed of members from over 20 Federal departments and agencies, including the Office of Management and Budget and the National Security Council. The establishment of SWORM was the first time the science, national security, and preparedness communities were seated at the same table to strategically address the risk of space weather across the Federal enterprise. SWORM was tasked by OSTP with developing a national strategy and action plan to address this risk. The first National Space Weather Strategy and Action Plan was released in October 2015 and updated in 2019.
The PROSWIFT Act directed NOAA to establish the first ever Federal Advisory Group to advise the SWORM Subcommittee. The Space Weather Advisory Group (SWAG) is composed of 15 non-governmental representatives from academia, industry, and end-users.
The PROSWIFT Act also directed NOAA, NASA, and NSF, to enter into an arrangement with the National Academies of Science, Engineering, and Medicine to establish a Space Weather Government-Academic-Commercial Roundtable to facilitate communication and knowledge transfer among Government participants in the SWORM, the academic community, and the commercial space weather sector.
NASA established the Space Weather Council to secure the counsel of community experts across diverse areas, on matters relevant to space weather in support of the
NASA Heliophysics Division (HPD).
The American Commercial Space Weather Association (ACSWA) is a collective voice for the commercial space weather sector and an advocate for research and operations
across the space weather enterprise.
In this session the chairs of these respective groups will discuss their activities and coordination with an emphasis on how to ensure community involvement.
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
This session discusses the role of partnerships between the climate community, academia, and other organizations, and how these combined efforts can drive us towards actionable scientific information.
NOAA continues to make tremendous strides integrating social, behavioral, and economic sciences (SBES) research into operations, moving us toward a weather-ready nation. The SBES programs in OAR’s Weather Program Office and the NWS’ Office of Science and Technology Integration work together to advance SBES research and to transition findings to support products and services. Although NOAA has made significant advances in the application of social science across its mission areas, challenges persist with providing equitable services, understanding and addressing diverse user needs, and assessing and measuring research to operations outcomes. To address these challenges, NOAA needs to facilitate a weather enterprise approach that includes our partners in academia, private industries, as well as faith and community based organizations. This panel session will cover several different aspects of the WPO and the NWS social, behavioral, and economic sciences programs including:
- Discussions of current NWS SBES operational challenges and related research needs. (NWS STI)
- An outline of best practices for applying to WPO and NWS SBES funding competitions. (NOAA WPO and NWS STI)
- Highlights of new and ongoing WPO innovations for transitioning social science research to operations in the NWS, NOAA, and the broader Weather Enterprise. (NOAA WPO)
- A forum for the broader research and practitioner communities to reflect, respond, and comment on the presented information. (Panel Discussion with Audience Interaction and Feedback)
This session topic will include joint sessions on AI and weather forecasting. How will AI advance weather forecasting capabilities across the weather enterprise? We are soliciting an array of abstracts on the topic and welcome submissions related to, but not limited to, purely data-driven forecasting, AI-NWP hybrid applications, and AI-based post processing for forecasting applications.
This session seeks presentations related to the use of statistics an machine learning in Climate Science. It is Joint between the 28th Conference on Probability and Statistics, 23st Conference on Artificial Intelligence for Environmental Science, and the 35th Conference on Climate Variability and Change
The need to understand linkages between climatic extremes and security outcomes such as displacement/migration, public health, and food/electricity production has never been higher. Analysis of these linkages requires integration of the Earth, social, economic, and political sciences as well as equitable access to community datasets, data proximate compute, community developed data analysis workflows and open source software tools. In this session, we invite submissions that discuss research, applications and initiatives that build upon the principles of FAIR (Findable, Accessible, Interoperable, and Reusable) Open Data and Software within the atmospheric and related sciences to drive new discoveries. We welcome technical, policy, and community-focused submissions on a range of topics related to facilitating transparency of science and leveraging community supported open science capabilities to drive research and operational outcomes. Examples include:
Research, operations and industry uses that employ a combination of public cloud compute, cloud hosted datasets such as those provided through NOAA’s Open Data Dissemination Program, and open source data analysis tools and workflows. With the increasing use of constellations of sensors and more and more observations being processed at the point of collection, this session explores the use of the Internet of Things to gather data and edge computing to process data. An example of this kind of technology is the Smart Great Lakes project (https://www.glos.us/smartgreatlakes/). Topics in this session might include: the deployment of IoT sensors for the collection of environmental data, techniques for processing data at the point of collection, integrating new data sources with existing data architectures, AI and the use of IoT sensors, the use of the cloud to gather and disseminate data, and information ecosystems based on smart technologies.
Solutions for data and software discoverability, metadata creation and management, provenance tracking, and other relevant topics.
Platforms for reproducible research and reusable tools will accelerate the analytics enterprise and build the salience, credibility, and legitimacy required to effectively inform policy. This session will highlight emerging open-science tools and platforms for weather and climate-security analysis.
This session will highlight abstracts utilizing machine learning methods in applications to aerosols and wildfires. This can range from short- to long term- forecasts.
Public-Private-Academic Partnerships (PPAPs) are a valuable approach for collaboration between federal and non-federal organizations, although use of them has traditionally been somewhat limited. Such cooperative arrangements are often extremely cost-effective and encourage the federal government to leverage data, services, and expertise from private industry and academia that otherwise would be inaccessible. NOAA has established multiple initiatives that have facilitated data licensing and sharing (National Mesonet Program and Commercial Weather Data Pilot) as well as community weather model engagement and research (EPIC). NIST has been similarly engaged on its Urban Domes Testbed program for quantification and attribution of greenhouse gasses. It has been 20 years since publication of the “Fair Weather Report” which examined the roles of these three sectors along with the barriers and potential for effective partnerships. This session will discuss progress since that report and promote informative discussions regarding future engagements both domestically and internationally.
The session will discuss the development, adaptation, application of AI models and AI based methods to the coastal environment including stakeholders needs and feedback.
We are looking forward to scientific contributions across all aspects of laboratory and field-based ice nucleation and formation research, including long-term monitoring of ice-nucleating particles (INPs), intensive field INP observations at the ground and using vertical profiling, and studies investigating secondary ice formation processes. We are also inviting contributions to bridging the gaps between experimental work and modeling, e.g., through the development of new parameterizations for INPs in the atmosphere and dedicated aerosol closure studies, as well as atmospheric ice formation modeling across scales.
Weather imposes constraints on human activity. As a consequence, most decision-makers/planners seek awareness to mitigate or eliminate weather impacts. As datasets become larger and larger, new and improved tools to work with Big Data are critical. This session welcomes contributions from research fields such as scientific visualization, information visualization or visual analytics that are applicable to large data sets from climatology, meteorology or related disciplines. Presentations on using cloud computing for analyzing satellite and model data for weather, ocean, or climate relevant applications will also be welcomed.
Land-atmosphere and land-ocean interactions play a key role in climate variability and change, as well as in climate/weather predictability across space and time. The land’s role in the Earth system – its impact on atmospheric and ocean climatology and variability across a broad range of timescales, ranging from hours to centuries, for past, present, and future climates – has been the subject of much recent exploratory research, and is essential for addressing the challenges of living in a changing environment. The meteorological, hydrological, biophysical, biogeochemical, and ecosystem processes, as well as the boundary-layer processes, that underlie the connections between surface and atmosphere are not yet fully understood. The scarcity of relevant observations, the complexity of the underlying processes and feedbacks, and the wide range of scales involved necessitate coordinated and increasingly interdisciplinary investigations. This session focuses on (1) understanding, analysis, prediction, and attribution of extreme hydroclimate events in the context of land-atmosphere and land-ocean interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamic, physical, and biogeochemical mechanisms by which land processes (including those associated with large scale agriculture and land-use change) influence the Earth system on subseasonal to decadal time scales; (3) predictability associated with land initialization (i.e., soil moisture, soil temperature, vegetation, snow, and aerosol in snow, etc.) and land–atmosphere/ocean interactions from subseasonal to decadal time scales; and (4) application and analyses of large scale field campaign data, national and international observational networks (e.g., FLUXNET), satellite remote sensing (e.g., SMAP, OCO-2), and reanalysis for land model development and land-atmosphere and land-ocean interaction studies. This session will contribute to advance the land component in the earth system modeling and understanding its critical scientific role. We welcome papers addressing any of these topics.
Submitters: Yongkang Xue, Univ. of California, Los Angeles, Los Angeles, CA; Randal D. Koster, GMAO, Greenbelt, MD; Michael B. Ek, NCAR, Boulder, CO and Craig R. Ferguson, Department of Atmospheric and Environmental Sciences, Univ. at Albany, Albany, NY
Wildfires continue to increase in frequency and intensity across the US and across the world. According to a study by University College London, California's 2018 wildfires alone cost the U.S. a whopping $148.5 billion in economic impact. In response to this increasing impact, wildfire risk models are being developed to enable risk-informed decision making. During this panel, we will hear from experts on how these models are developed, how they can be used for operational decision making, and how they can inform investment decisions.
6:00 PM-7:00 PM: Tuesday, 30 January 2024
6:30 PM-10:00 PM: Tuesday, 30 January 2024
Wednesday, 31 January 2024
7:30 AM-8:30 AM: Wednesday, 31 January 2024
8:30 AM-10:00 AM: Wednesday, 31 January 2024
This session will focus on the changing landscape of science collections.
Climate impacts society on local, regional and global scales. Both the impacts and the possible solutions to changing climate require resilience, innovation and cooperation across industries, as well as across sectors (public, private, and academic). The mission of many federal agencies dictates that those agencies have a role to play in addressing climate change and clean energy challenges. The magnitude of these challenges demands an accelerated and integrated approach to address societal needs and innovate technological solutions. But the unique mission of different agencies leads to approaches that may be distinctly different yet synergistic. Understanding that landscape can be challenging for academics and the private sector to navigate. This panel will represent perspectives from multiple government agencies to discuss the role each agency plays in catalyzing innovation and entrepreneurship and how different agencies support or encourage partnerships that include the private sector.
Making the weather, water, and climate community more inclusive, equitable, and diverse is a task to be tackled by the entire community. Scientific pursuits have a troubling history of a culture of exclusionary and exploitative behaviors toward minoritized and marginalized communities. Systemic barriers continue to hinder inclusion, which leads to lack of gender, racial, and/or ethnic diversity, and exclusion of people with disabilities, among other consequences. To change this culture, as scientists we must increase our own awareness, acknowledge and address biases, examine the culture and climate of our work environments, dismantle policies and practices that are inherently exclusionary, and be intentional in fostering a culture that is welcoming, beneficial, and productive for all members.
This session invites papers that seek to create and nurture a culture that promotes inclusion, equity, anti-racism, and diversity in the weather, water, climate community. We also seek to have discussions around the following questions:
- What are some successful models of expanding individuals from underrepresented backgrounds in meteorology/geosciences?
- What can be done to make meteorology/geoscience careers more accessible?
- What can be done to build a just and fair scientific and workplace culture?
Other Topics in Applied Climatology
NESDIS is implementing NOAA’s operational, satellite-based Space Weather observational strategic priority through a collaboration with the National Aeronautics and Space Administration (NASA) called Space Weather Observations (SWO). SWO will developing and deploying operational Space Weather satellite systems that safeguard society and advance NOAA’s position as an international leader in innovative, operational satellite-based Space Weather observations and a trusted source of continuous Space Weather observations. In support of this, the Space Weather Next (SW Next) Program has established a Reference Program Architecture that identifies Space Weather observations to be made in various orbits. The SW Next mission seeks to fly Space Weather instruments in Low-Earth Orbit (LEO), Geosynchronous Earth Orbit (GEO), Highly Elliptical Orbit (HEO), Lagrange Point 1 (L1), and Lagrange Point 5 (L5). Separate Flight Projects (one per orbit plane and one for ground) whose responsibilities are to acquire the Flight Segment assets needed to make these observations. Each Project determines what instruments should be developed for its orbit and observations. Together, along with the National Centers for Environmental Information (NCEI) these joint NOAA/NASA Projects seek to develop and operate observatories to enable effective Space Weather decision support services by the Space Weather Prediction Center (SWPC) forecasters as an element of the NWS vision to build a (Space) Weather-Ready Nation.
E Pluribus Unum is a Latin phrase meaning "From many comes one. "This joint session explores the integrative strategies and approaches that will be needed to achieve the greatest Space Weather capability and best respond to the 2020 Promoting Research and Observations of Space Weather to Improve the Forecasting of Tomorrow (PROSWIFT) Act, from cross-Agency and international observing system partnerships to data stewardship for future AI-based algorithm developments and their eventual operational implementation. It explores broad-ranging and synergistic strategies and will be joint across the 26th Conference on Satellite Meteorology, Oceanography, and Climatology, 24th Symposium on Meteorological Observation and Instrumentation, 21st Conference on Space Weather, 20th Annual Symposium on New Generation Operational Environmental Satellite Systems, 14th Conference on Transition of Research to Operations, and 14th Symposium on Building a Weather-Ready Nation: Enhancing Our Nation's Readiness, Responsiveness, and Resilience to High Impact Weather Events.
It is difficult to overstate the connection between climate change and human health, especially in the urban context. Cities currently face serious health risks associated with the Anthropocene. Communities impacted by environmental injustices and social inequalities already disproportionately experience these risks, and as the climate continues to change, these health threats will be further exacerbated. The severity and increased frequency of climate-related health hazards cities experience require climate adaptation strategies to be developed and implemented. It is imperative for cities to understand future climate-driven changes in health hazards and to pursue informed, equity-oriented adaptation to protect the health and livelihoods of urban residents and ensure they are resilient to future climate impacts. There are numerous tools to assess these hazards such as high-resolution models, dense networks of observations, and satellite remote sensing as well as varied strategies and approaches to adapt to or mitigate these hazards, but it is important for cities to consider those that are appropriate for their research questions, geographic location, and the social conditions their residents experience. This session will focus on the myriad impacts that present and future stressors related to the Anthropocene such as rising temperatures, more weather extremes, changes in natural and anthropogenic air pollution, or rising sea levels have on health, health inequities, and climate adaptation strategies in urban areas.
The planetary boundary layer (PBL) is characterized by rapid changes in temperature, humidity, and wind speed, and is where we experiment the weather. Surface processes such as turbulence and friction affect the PBL, which in turn modulate convective development and momentum transport, thus affecting the coupling between the surface and the free troposphere. Hence, understanding the dynamics and physics of the PBL is critical for a range of applications, including weather, air quality, and climate. In this regard, novel instrumentation and novel methods of combining existing instruments have helped advance our understanding of the PBL processes. This session invites presentations that report on these latest advances, including but not limited to: advances in (1) in-situ measurements with balloons and aircraft, (2) remote sensing with radar, lidar and radiometers, (3) ground-based measurements with sonic anemometers and flux towers, and (4) the combination of multiple observation platforms. The session will cover a range of topics, including PBL height and variability, turbulent fluxes of heat, moisture, and momentum, and the interactions between the PBL and the free atmosphere. The aim is to promote a discussion on the challenges and opportunities in PBL measurements, such as the need for high-resolution measurements over heterogeneous terrain and the development of new measurement techniques for measuring vertical profiles of PBL properties.
Ron Przybylinski, the former Science and Operations Officer (SOO) of the National Weather Service Forecast Office in St. Louis, Missouri, left us the legacy of his unending motivation to interconnect weather operations and research in strong and enduring ways. Ron was a master in the transition zone, or nexus, of operations and research. Research interactions with Ron led to large field projects that provided the great benefit both to operations and the general knowledge. Ron Przybylinski inspired the idea of the RON Meetups, which have taken place at the National Weather Association (NWA) Annual Meetings since 2015 and American Meteorological Society (AMS) Annual Meetings since 2018.
This session will provide the opportunity for an interactive "meetup" between research and operational meteorologists. The groups will rotate through a number of stations in speed-mentoring fashion and discuss ideas and themes that could benefit forecast and warning operations. The goal is simple: to build and develop new relationships in the nexus!
Other Topics on Advances in Modeling and Analysis Using the Programming Languages of Open Science.
The coastal zones are unique and dynamic natural environments where a range of interactions between atmospheric, oceanic, and land processes lead to sharp gradients in environmental conditions. Understanding these interactions is vital for accurate weather and climate predictions, requiring monitoring and modeling at sufficiently high spatial and temporal scales. We invite submissions based on observations (field-based, gridded, reanalyses) and models (NWP and climate/earth system) that examine coastal processes and interactions on weather and climate timescales and discuss how the coastal regions across the globe are impacted by changing climate conditions. Submissions could include studies focusing on meteorological phenomenon such as sea breeze, fronts, lake-effect snow, and coastal storms, and on processes acting on climate timescales including the effects of boundary currents, ocean circulation changes, and sea level rise on coastal environments. We also invite submissions that use a variety of modeling approaches such as regional and global high-resolution climate modeling as well as statistical downscaling techniques to improve our understanding of coastal climate dynamics, and studies that focus on marine heat waves and compound extreme events over land in coastal regions.
Drought is a multi-faceted phenomenon that challenges our current prediction capabilities, yet its environmental and economic consequences are among the most serious of all natural disasters. In the changing environment of a warming climate, drought is expected to increase in frequency, duration, and intensity at both regional and global scales, and this will result in increasing environmental security risk. Improving analysis and prediction of all drought types requires the use of multiple data sources, including in-situ and remote-sensing data, surface observations, and indicators of societal impact. Satellite hydrological variables and vegetation indices have contributed dramatically to our understanding of the mechanisms of drought occurrence and development, while facilitating the separation of the drought signal from normal hydrologic and vegetation conditions. Remotely sensed land observations are used to force or parameterize models, and the hydrological outputs provide the foundation for existing drought indicators. However, making significant improvements in monitoring and prediction will not only require advances in understanding drought mechanisms, but also of the societal impacts and how to better manage water resources. There are still many open scientific questions related to data fusion, integration of drought indicators, emerging social media data sources and the optimal combination of these data sets for providing insights to climate, environmental security, and societal changes with respect to drought events. Addressing these outstanding challenges related to drought monitoring and prediction directly aligns with this year’s AMS Meeting Theme of “Living in a Changing Environment.”
Specific topics addressed by presenters could include but are not limited to: current drought prediction science and skills at various lead times; advances in our understanding of the causes and characteristics of drought and impacts of land-atmosphere interactions, data analyses and numerical modeling; innovative management uses of drought science; and case studies illustrating advances in understanding, monitoring and prediction of drought and drought impacts. Further, papers identifying and/or addressing gaps and deficiencies in our current methods for predicting droughts and estimating its effects on vegetation, water and energy resources, environmental security, and the health and food security of human populations are also invited.
Submitters: Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS; Molly Woloszyn; Maya Robinson, NOAA, Urbana, IL and Jason A. Otkin, CIMSS, Madison, WI
The North Atlantic (NA) ocean is one of the most cloudy regions over the globe and influenced by various types of both natural and anthropogenic aerosols. Previous studies suggest that global climate models have the largest uncertainties in terms of aerosol-cloud interaction simulations in the NA region. Therefore, NA is an interesting and important region for aerosol-cloud interactions studies, which inspires several field campaigns such as the Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA), and North Atlantic Aerosols and Marine Ecosystems Study (NAAMES), and Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE). This session seeks contributions from the research, operational, and user communities that utilize the observations from these recent field campaigns to study the aerosol-cloud interactions in the NA region.
Understanding anthropogenic effects on extreme weather and climate events is key to informing future infrastructure development, economic growth, ecosystem management, and healthcare needs. In conjunction with the Bulletin of the American Meteorological Society Explaining Extreme Events from a Climate Perspective release, we encourage submissions on how human-caused climate change may have affected the intensity, duration, magnitude, and likelihood of recent extreme events, including, but not limited to heat, drought, extreme rainfall, and flooding. We also encourage abstracts that establish links between extreme events in the context of climate change and human health impacts.
https://www.ametsoc.org/ams/index.cfm/publications/bulletin-of-the-american-meteorological-society-bams/explaining-extreme-events-from-a-climate-perspective/
Subseasonal-to-Seasonal (S2S) forecasting (between two weeks and a season ahead) is a rapidly developing area of forecasting, with the potential to provide valuable information for the development of climate services. Although S2S climate predictions have a comparative lack of skill beyond two-week lead times, over the past decade there has been a substantial research effort to improve prediction skill via novel advanced statistical and Artificial Intelligence/Machine Learning (AI/ML) methods either in terms of post-processing of the dynamical model output or data-driven models based on teleconnections. Additionally, there is a strong interest in understanding predictability on S2S scales using eXplainable Artificial Intelligence (XAI) which could help to improve forecast skill.
This session welcomes all aspects of improving forecasting on S2S scales including advanced statistical and Artificial Intelligence/Machine Learning (AI/ML) based post-processing (bias correction, multi-model ensemble) of the dynamical model output, and ML models based on teleconnections (empirical/data driven). Abstracts that explore XAI for predictability are also encouraged.
For a complex, global challenge such as the global earth system, collaboration across political boundaries enables faster mission advances and more efficient use of limited resources. Such collaboration can be leveraged throughout the value chain from data collection technologies through creation and delivery of products. This session aims to bring attention to demonstrated successes of near-term opportunities for international collaboration for the weather and climate mission.
The NOAA Air Resources Laboratory (ARL) has contributed to advancing boundary layer and climate research for over 75 years. Before the formation of NOAA in 1970, ARL was part of the Environmental Science Services Administration (ESSA) and the US Weather Bureau, with offices geographically distributed across the nation to address global, regional, and local scientific challenges of a changing environment. ARL was originally created to study atmospheric effects of nuclear weapons tests as the Special Projects Section of the Weather Bureau under the leadership of Lester Machta. These early atmospheric transport studies were the foundation of the laboratory’s boundary layer research programs, which evolved over the decades to include atmospheric measurements for emergency response applications, development of dispersion modeling capabilities, establishment of multiple mesonets, monitoring of global acid deposition (e.g. acid rain), and observations of climate variables. Seminal atmospheric research at ARL has produced the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, which was developed by ARL scientists in 1998 and is widely used internationally, and the U.S. Climate Reference Network (USCRN), a sustained network of approximately 140 climate monitoring stations which provides air temperature, precipitation, and soil moisture data across different landscapes. In recognition of ARL’s 75th anniversary, presentations are encouraged that reflect on the innovative contributions of weather and climate research not only from ARL and its federal and academic collaborators, both past and present, but also future directions for boundary layer research that build on lessons learned from past decades of pioneering work may also be presented.
The panel will focus on NOAA’s Cooperative Institute for Research to Operations in Hydrology (CIROH) activities. This is good timing as CIROH is in their 2nd year.
Session Organizers: David Vallee, John Pereira, NOAA Office of Water Prediction
These sessions are devoted to current and next generation weather radars, with emphasis on radar meteorology science, weather radar applications, weather radar signal processing, weather radar prototype developments, experimental weather radar data collections, and essentially all radar meteorological algorithms. Presentations about advanced radar technologies, including phased array radars, polarimetry, multi-function scan strategies, retrieval algorithms, signal processing for clutter rejection, etc. will be a focus of these sessions.
Continuing the last year’s expanded scope to span all the temporal ranges of the weather forecasting for this session topic, we’re soliciting abstracts to discuss any aspects of analysis and forecasting - from analysis, nowcasting, short-term forecasting to extended-range weather forecasting, and even to 2-year forecasting in climate range.
The primary goal of this session is to discuss all aspects of R2O (Research to Operation) and O2R (Operation to Research) of weather forecasting. The goal includes discussion of modeling systems, forecasting techniques or methodologies with focus on linking the field forecasters’ needs on the tools, represented as “requirements” linked to the “solutions” that developers provide to meet the needs.
The Analysis and Nowcast Branch of the Analyze, Forecast, and Support Office, a.k.a. AFS11 was created to better address the fields’ needs on analysis and forecasting tools by systematically developing “requirements” to help improve the “solutions”, addressing field’s needs on the tools. [Note the branch name is being changed to “Analysis and Forecast Branch” to reflect the expanded scope.]
We would like to invite any of you who work on solutions, requirements, or policies to share your progress in this topic with the community by presenting your ideas, plans and/or results on any aspect of analysis and forecasting, including modeling, evaluation, forecasting and warning. Your input will be used to better identify and resolve systematic issues present in the tools, and try to link research and operations to forecasters’ needs in terms of requirements in order to better serve the public with improved weather analyses and forecasts.
For questions or suggestions, please contact YJ Kim (young-joon.kim@noaa.gov). Thank you.
Multiple U.S. government and international agencies are evaluating and/or purchasing commercial data for use in their weather and space weather products and services. More companies are getting into the business of providing commercial weather data each year. Interagency and international coordination regarding commercial data evaluations, procurement and use is taking place in multiple venues.
This session will give government representatives as well as companies producing environmental data the chance to share their latest developments. It will also give opportunity for discussion of the ways the community is coordinating and developing lessons learned in this emerging arena of using commercial data to enhance products and services.
In 2018, a task force of government experts defined the phrase "extreme maritime weather" as "wind and wave conditions that pose a threat to life and property to all vessels." Such conditions do impact vessels, crews, cargoes, and maritime operations, extreme maritime weather also threatens coastlines and communities as well.
Understanding and predicting extreme maritime conditions requires a broad spectrum of atmospheric and ocean observations including in situ and remotely sensed data. Prediction systems must be able to assimilate such observations and yield forecast parameters at temporal and horizontal resolutions that include the complex interactions between the atmosphere and ocean. The resulting metocean services, whether public or private, must meet the need to ensure informed decision making.
This session is intended to cast a wide net with a common focus on extreme maritime weather events impacting ocean and coastal areas with an earth system perspective of observations, prediction systems, science gaps, services, and impacts. A key goal of this Symposium and session is to enhance a metocean focus within the AMS community with participation from the private, public, academic, and underserved communities.
We live in a changing world. Our climate is changing, our populations are growing and constantly on the move and as evidenced by the COVID-19 crisis, our exposure to a range of socio, technological, political and environmental threats and shocks is ever changing too. On World Meteorological Day 2022, the UN Secretary General set the WMO a 5-year target of ensuring that everyone on the planet should be protected by an early warning service by the end of 2027. Responding to this challenge, this session is inviting presentations that explore good practices and exciting innovations that describe how environmental hazards, social sciences, last mile communication strategies and the latest technologies can be applied to and integrated with sectoral vulnerability and exposure datasets to deliver the next generation of multi-hazard impact-based forecasts and warnings.
Climate Variability and Change exert powerful effects on global circulation, moisture availability, and the evolution of weather systems. In 2022-3 we have seen the impacts that winter weather can have, such as through the persistence of high-impact snowfall in California, where snow totals have broken records. There is high confidence that climate change is contributing to warmer temperatures, heavy precipitation extremes, drought, and heatwaves. There is less confidence in the effects of climate change on winter weather and its extremes. In recent years, research has focused on understanding how cold air outbreaks may be related to changes in high latitude and stratospheric circulation, and to characterize trends in winter weather severity and frequency in a warming world. There are also questions to be explored in the relationship between winter weather, cold waves, and natural variability; the role of both variability and climate change in future winter weather events; changes in winter storm evolutions, such as their intensity, phase type, and durations; and the ability of global and regional models to adequately simulate cool season dynamics, thermodynamics, and planetary circulations. This session aims to explore a broad array of questions related to these and other research areas that examine cool season phenomena, including both core science research, as well as impacts to society, ecosystems, health, and infrastructure. In 2023, we ran the first session in this topic area which was well received, suggesting that there is much more to be explored in this subject area.
Global and regional quantitative precipitation estimates (QPEs) are critical for understanding climate variability and hydrometeorological cycles, detecting natural disasters, improving flash flood and weather forecasts, and effectively managing the use of Earth's freshwater resources. However, obtaining accurate QPEs is a challenging task in many areas of the world due to sparse gauge networks, complex terrain, and global water cycle acceleration. Recent advances in radar and satellite remote sensing of precipitation are progressing rapidly, with the aims of providing accurate and high-resolution precipitation estimates, accurate flash flood forecasting, and understanding the causes and underlying processes of these natural hazards. This session invites high quality, original research contributions from radar and satellite meteorology and associated data sciences, including improved QPE retrievals from satellite and radar remote observations and novel methods to produce multi-sensor QPEs by merging multiple satellite/radar products and/or in-situ observations. Assessments of remotely sensed QPE product performance, as well as demonstrations of the applicability of remotely sensed QPEs for improved weather and hazards forecasting or understanding of hydrometeorological processes are also encouraged.
Submitters: Janice L. Bytheway, CIRES, Boulder, CO; Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, CO and Ryan Gonzalez, Department of Atmospheric Science, Colorado State University, Fort Collins, CO
The methods and technologies used to warn society about weather, and water events that has the potential to cause loss of life and property are advancing. This session will explore the advancements being made for maximizing a societal response to hazardous weather and water events.
In many meteorology and atmospheric science programs, students interested in private sector careers experience a gap between the curricular examples and pedagogical tools they see, and the skills and background needed for employment. The 2019 NSF-sponsored workshop titled “Mind the Gap” developed a set of recommendations to address this gap. One key recommendation was to develop pedagogical tools or modules that could be implemented in preexisting atmospheric science core courses to be designed in partnership with relevant private and academic sector representatives and to be integrated into existing course syllabi, preferentially in core courses identified by the AMS standards. This session highlights some of the burgeoning ideas and efforts accomplished in closing the gap.
This session will evaluate use of and requirements for unscrewed aircraft systems and urban air mobility operations within urban settings and how those systems will benefit from and provide additional benefits to urban forecasting and real-time reporting. The use of advanced air mobility systems in conjunction with data from traditional ground-based and airborne observing systems can be applied to a wide variety of aviation and aerospace research and operational areas, including enhancing urban numerical weather prediction. Themes can include the use of UAS and UAM in improving urban weather observations and the use of systems for real-time weather operations as well as the integration of assimilated data from AAM systems into urban forecasting operations.
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
Have you used chatGPT in your environmental related projects or applications? Have you experimented with applying language models to your field of work? This session invites abstract submissions that have used ChatGPT or other language models in their line of work. Examples can include but are not limited to using ChatGPT to pull data, write code, issue statements, etc.
Join us at the highly anticipated AMS Conference for a riveting leadership discussion panel centered around strategies, policies, and the value of user engagement in supporting a Weather and Climate Ready Nation. This exclusive session brings together senior-level leaders who will generously share their insights and expertise on these crucial topics.
Our esteemed panelists will delve into the significance of user engagement in investing in a responsive products and services portfolio that caters to the evolving needs of users. By actively seeking user feedback and maintaining trust, organizations can better understand and support users in making informed decisions regarding weather and climate-related matters.
The panel discussion will go beyond theory and delve into actionable steps for American enterprises to pay attention to and collaborate with users in building a Weather and Climate Ready Nation. By actively working with users, organizations can co-create solutions that address the unique challenges of weather and climate change, ultimately fostering a more resilient and prepared nation.
This engaging session offers an unparalleled opportunity to learn from industry leaders successfully implementing user engagement strategies. Attendees will gain valuable insights, practical tips, and innovative ideas that can be applied across various sectors.
Convener/Moderator: Martin Yapur, Renata Lana, Thanh Vo - NOAA/NESDIS
8:30 AM-10:30 AM: Wednesday, 31 January 2024
The atmospheric chemistry community has been interested in issues related to environmental justice and air quality for many years. NASA Applied Sciences programs, Health and Air Quality, and Equity and Environmental Justice, are supporting this interest and addressing concerns of communities disproportionately impacted by environmental challenges, including poor air quality. Recent advances in observational capabilities (e.q. satellite and low cost sensors) have improved the ability to document urban air quality at higher spatial resolutions. This session welcomes results from investigations applying Earth science, geospatial, and socioeconomic data to highlight air quality inequalities, as well as efforts to collaborate with community members to improve and maintain a healthy atmospheric environment for those who live and work in areas with high levels of air pollution.
9:00 AM-11:00 AM: Wednesday, 31 January 2024
Guest Coffee
Location: Pickersgill (Hilton Baltimore Inner Harbor)
All guests of registered attendees are invited to stop by to meet other guests.
10:00 AM-10:45 AM: Wednesday, 31 January 2024
Coffee Break [East Foyer and West Foyer Holiday Ballroom]
Location: Hilton Baltimore Inner Harbor
Coffee Break [Main Terrace (BCC), Camden Lobby (BCC), Hall E (BCC), Hall F (BCC)]
Location: The Baltimore Convention Center
A casual and cozy gathering provided by AMS BRAID where those who identify with this affinity space community may network informally. This dedicated location will include non-enclosed seating options for attendees. Take a break and build your network!
10:00 AM-4:30 PM: Wednesday, 31 January 2024
10:00 AM-6:45 PM: Wednesday, 31 January 2024
Throughout the week, you will also be able to connect with the AMS Staff and Beacons to further your knowledge on member resources, community engagement, volunteering opportunities, our high-impact journals, certification programs, K-12 education initiatives, opportunities for students and early career professionals, and the AMS Policy Program. AMS provides many opportunities for everyone across our community, whether you're a student, just starting your career, or have years of experience.
Wednesday, 31 January
10:00-10:45 AM, Anjuli Bamzai (AMS President-Elect)
6:00-6:45 PM, Erica Grow Cei (Best Practices Commissioner)
10:45 AM-12:00 PM: Wednesday, 31 January 2024
Making the weather, water, and climate community more inclusive, equitable, and diverse is a task to be tackled by the entire community. Scientific pursuits have a troubling history of a culture of exclusionary and exploitative behaviors toward minoritized and marginalized communities. Systemic barriers continue to hinder inclusion, which leads to lack of gender, racial, and/or ethnic diversity, and exclusion of people with disabilities, among other consequences. To change this culture, as scientists we must increase our own awareness, acknowledge and address biases, examine the culture and climate of our work environments, dismantle policies and practices that are inherently exclusionary, and be intentional in fostering a culture that is welcoming, beneficial, and productive for all members.
This session invites papers that seek to create and nurture a culture that promotes inclusion, equity, anti-racism, and diversity in the weather, water, climate community. We also seek to have discussions around the following questions:
- What are some successful models of expanding individuals from underrepresented backgrounds in meteorology/geosciences?
- What can be done to make meteorology/geoscience careers more accessible?
- What can be done to build a just and fair scientific and workplace culture?
Other Topics in Applied Climatology
There are recent and ongoing efforts to modernize the heliophysics and space weather enterprise data archives. The modernization ranges across software, hardware, metadata, to analysis capabilities. This session invites efforts that are focused on aligning the heliophysics and space weather communities to using best data practices from providing, accessing, sharing, and analyzing it.
This proposed session topic will include joint sessions on the process of climate change in the future, the impacts climate change will have on the coastal environment (coastal vulnerability to weather and climate).
This session invites papers focusing on strategies for making use of research to properly inform environmental health policies and decision making for public health protection from environmental threats at multiple scales. We invite case studies on successful applications of environmental health science in public policy formulation and implementation, as well as projects that identify ways to successfully engage a broad set of stakeholders in research translation, including health practitioners, community leaders, policymakers, and other end users.
UAS platforms and in-situ and remote sensing capabilities continue to expand as measurement accuracy are validated and improved. Topics to be covered in this session include those that characterize the latest developments in UAS sensing capabilities and results from recent UAS research.
Some of the most underutilized materials in academic libraries are older U.S. government agency technical reports. This session looks at TRAIL and other collaborative resources relevant to science librarians.
This session seeks presentations that present the use of probability and uncertainty analysis or advanced verification or validation techniques in the areas of High Impact Weather Events such as Fire, Severe Storms, Tropical Cyclones, Hydrometerological and others.
Teaching, Training, Outreach, and Building Communities around Open Science I
Atmospheric aerosols from natural or anthropogenic sources have profound impacts on Earth's radiation budget, hydrological cycle, as well as regional and global climate. Currently, the radiative forcing of aerosols in the climate system remains highly uncertain, representing the largest uncertainty in climate predictions. For the direct effect, aerosols scatter and absorb solar radiation. Light scattering by aerosols changes the radiative fluxes at the top-of-atmosphere (TOA), at the surface, and within the atmospheric column, while aerosol absorption modifies the atmospheric temperature structure, decreases the solar radiation at the surface, and lowers surface sensible and latent fluxes, suppressing convection and reducing cloud fraction. Also, aerosols indirectly impact climate by altering cloud development, lifetime, albedo, and precipitation efficiency. On the other hand, climate variabilities also affect aerosol cycle and lifetime by altering aerosol removal processes. Current treatments of aerosol-cloud-radiation interactions remain crude in climate models. This session aims to review the state of current understanding on aerosol-climate interaction, so we invite any paper on the related subjects.
This session provides an overview of recent advances in prediction of atmospheric phenomena beyond the weather scale. Modern skill in short-term weather forecasting and climate-scale projections have increased stakeholder demand and scientific interest in the use of weather and climate data outside of traditional timeframes. The convergence of these interests is no more evident than in the Subseasonal to Seasonal (S2S) range. A myriad of approaches and tools are being implemented to increase skill in temperature, precipitation, and high impact event forecasts beyond two weeks. Traditionally, both climate- and weather-scale methods, primarily statistically-focused, have been ported to this temporal range. Innovative methods are bringing new perspectives and capabilities to this "gray area" of predictability setting the stage for broad dissemination of actionable S2S information across the economy.
In 2018, a task force of government experts defined the phrase "extreme maritime weather" as "wind and wave conditions that pose a threat to life and property to all vessels." Such conditions do impact vessels, crews, cargoes, and maritime operations, extreme maritime weather also threatens coastlines and communities as well.
Understanding and predicting extreme maritime conditions requires a broad spectrum of atmospheric and ocean observations including in situ and remotely sensed data. Prediction systems must be able to assimilate such observations and yield forecast parameters at temporal and horizontal resolutions that include the complex interactions between the atmosphere and ocean. The resulting metocean services, whether public or private, must meet the need to ensure informed decision making.
This session is intended to cast a wide net with a common focus on extreme maritime weather events impacting ocean and coastal areas with an earth system perspective of observations, prediction systems, science gaps, services, and impacts. A key goal of this Symposium and session is to enhance a metocean focus within the AMS community with participation from the private, public, academic, and underserved communities.
Flash drought, characterized by its unusually rapid intensification, has garnered increasing attention in the physical science and impacts communities in recent years due to its compounding and cascading physical causes and socioeconomic effects. We invite submissions that advance our ability to monitor, understand, and predict the complex interactions between terrestrial, atmospheric, and oceanic processes that can be used to anticipate the effects and improve early warning of flash droughts in our changing climate. We also invite submissions that further our understanding of anthropogenic effects on flash drought and our understanding of the linkages between flash drought and impacts on energy, food, health, and water security.
Submitters: Andrew J. Hoell, NOAA/Physical Sciences Laboratory, Boulder, CO; Mike Hobbins, NOAA-Physical Sciences Laboratory, Boulder, CO; Hailan Wang, CPC, College Park, MD; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Jordan I. Christian, School of Meteorology, Univ. of Oklahoma, NORMAN, OK
Subseasonal-to-Seasonal (S2S) forecasting (between two weeks and a season ahead) is a rapidly developing area of forecasting, with the potential to provide valuable information for the development of climate services. Although S2S climate predictions have a comparative lack of skill beyond two-week lead times, over the past decade there has been a substantial research effort to improve prediction skill via novel advanced statistical and Artificial Intelligence/Machine Learning (AI/ML) methods either in terms of post-processing of the dynamical model output or data-driven models based on teleconnections. Additionally, there is a strong interest in understanding predictability on S2S scales using eXplainable Artificial Intelligence (XAI) which could help to improve forecast skill.
This session welcomes all aspects of improving forecasting on S2S scales including advanced statistical and Artificial Intelligence/Machine Learning (AI/ML) based post-processing (bias correction, multi-model ensemble) of the dynamical model output, and ML models based on teleconnections (empirical/data driven). Abstracts that explore XAI for predictability are also encouraged.
This session consists of oral presentations on the status of AWIPS development, implementation and use. Development organizations are encouraged to present the status of their own work as it applies to the overall program. We would also like to invite presentations from the user point of view.
Evapotranspiration (ET) is a fundamental process that influences a wide range of applications across scientific disciplines such as ecology, agriculture and meteorology. In ecology, ET is critical in regulating the water balance of ecosystems, affecting plant growth, carbon uptake, and nutrient cycling. Understanding ET patterns and dynamics is essential for predicting ecosystem response to changes in environmental conditions, such as climate or land use change. In agriculture, ET is critical for estimating crop water requirements and scheduling irrigation, helping to optimize crop yield and reduce water use in water limited regions. It can also indicate drought conditions, providing insights into water availability and potential crop stress. Ultimately, ET is critical for understanding the Earth’s energy balance and the role of the water cycle in regulating the climate system. By accurately modeling and monitoring ET, we can improve our ability to understand climate change impacts on water resources and ecosystems, while increasing the resiliency of these systems. Considering this, and in keeping with this year’s AMS theme of “Living in a Changing Environment”, we are seeking submissions related to novel approaches focusing on ET field to remote sensing monitoring and modeling. We encourage interdisciplinary ET studies aiming to explain, mitigate, and/or prevent disruptions or changes in ecosystems, agriculture, drought, or climate.
Submitters: Kyle R. Knipper, Sustainable Agricultural Water Systems Unit, USDA-Agricultural Research Service, Davis, CA; Nicolas E. Bambach, Viticulture and Enology, Univ. of California Davis, Davis, CA; Martha C. Anderson, Hydrology and Remote Sensing Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, UT; William Kustas, Hydrology & Remote Sensing Lab, USDA, Beltsville, MD and Yun Yang, Mississippi State Univ., Starkville, MS
The increasing frequency and magnitude of hydrometeorological extremes are exacerbating the risks of global flood events on an unprecedented scale. Changing human-climate dynamics, in particular, present unique challenges for scientific communities to accurately monitor, analyze, forecast, predict, and manage large-scale flood events. Accurate and timely prediction of flood hazards is pivotal for decision-makers in developing flood mitigation, climate resilience, and disaster management strategies. Recent advances in science and technology have led to the development of improved monitoring systems and predictive models that can assimilate observational data into modeling frameworks providing significantly improved understanding and characterization of flood risks. The evolution of remote sensing technologies and monitoring networks, in conjunction with human feedback, are advancing the predictive capabilities, but challenges remain for large-scale floods. The session invites contributions including but not limited to, (1) the development of flood-monitoring and prediction tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, machine learning), (2) the analysis of floods, and (3) lessons learned from managing floods from scientific and societal perspectives. Papers focusing on large-scale flood modeling efforts as well as continental and global scale hydrologic forecasting systems are of particular interest.
Land use and land cover change (LULCC) can significantly contribute to overall climate change. The impacts of LULCC are often complex as they occur in the context of a warming climate. LULCC affects the global concentration of greenhouse gasses, often times removing vegetation and forest cover that acts as a natural carbon sink. This can contribute to already elevated levels of greenhouse gases which can promote a positive feedback leading to further land use change. LULCC can accelerate parts of the hydrologic cycle, such as runoff characteristics and groundwater storage, and in some cases increase the likelihood of extreme flooding events in urban areas. This session serves as a continuation of the previous year’s session to disseminate research that investigates the impact of LULCC on climate across multiple spatio-temporal scales via high resolution, numerical prediction models and observation analysis. Research on best practices and emerging methods in application and implementation of LULCC are also welcome, as no uniform methodology exists in the current literature.
The Fifth National Climate Assessment (NCA5)—the preeminent source of climate information in the United States—is led by the US Global Change Research Program and scheduled for release in late 2023. The report is the result of process advancements in a number of areas: ensuring the inclusion of diverse perspectives, developing downscaled climate projections, providing editorial guidance to authors, documenting a transparent process, creating compelling graphics, and engaging with the public. The lessons learned from this work are particularly relevant to scientists and other assessment developers.
In this oral session, NCA5 staff will showcase new process advancements and efforts to evolve the assessment infrastructure.
This session will focus on applications of uncrewed vehicles such as UAS in improving observations for extreme weather forecasts and climate research observations. Topics may include the use of UAS for observations in or leading up to severe weather, sensor integration and calibration/validation, use of data from unscrewed observing systems to improve numerical weather and climatological models, and related topics. Unscrewed systems that can be applied to a wide variety of aviation and aerospace observation research and operational areas are of interest and could include the use of UAS in current research endeavors, as well as the integration of UAS in operations for extreme weather and climate monitoring activities.
The methods and technologies used to warn society about weather, and water events that has the potential to cause loss of life and property are advancing. This session will explore the advancements being made for maximizing a societal response to hazardous weather and water events.
This session seeks submissions on topics aimed at improving skill and effectiveness of water resources models and invites contributions from those making community advances in all aspects of this challenge.
Session Organizers: Trey Flowers, David Vallee, NOAA Office of Water Prediction
We propose a joint session between the conference on artificial intelligence for environmental science and the symposium on societal applications: policy, research and practice.
AI is permeating nearly ever aspect of society. Language models like ChatGPT have dominated headlines, while in the realm of environmental sciences data-driven models are already performing comparably to traditional numerical weather prediction models. Still, the emphasis of AI at AMS has been largely technical, focusing on the development and verification of AI models rather than the deployment and implications of these models.
The topics for this session will fall at this critical intersection of AI and society. We invite presentations on user-centered development and deployment of AI models, applications of AI to societal data, the communication, visualization, and use of AI-derived information, or other related research.
As the global community grapples with the escalating consequences of climate change, the urgency for sustainable, impactful solutions has never been greater. It is within this context that climate intervention is being considered. Climate intervention refers to deliberate large-scale manipulation of the planetary environment to counteract anthropogenic climate change and includes both large-scale carbon dioxide removal (CDR) and sequestration technologies as well as solar radiation modification (SRM). There are substantial environmental, technical, and cost challenges in using CDR at the scale needed to significantly reduce global warming, and the slow response of the climate system makes it unlikely that CDR could be implemented rapidly enough or at sufficient scale to avoid potentially dangerous levels of climate warming in the coming decades. SRM is thus being considered as the only approach available to rapidly counter near-term climate warming; however, the extent to which SRM can reduce climate change hazards has not been robustly established, nor is there a full understanding of the extent to which SRM may introduce new risks to people and ecosystems. The panel will discuss the potential benefits, drawbacks, and uncertainties of each strategy, as well as the broad policy implications and the ethical dilemmas that arise around climate intervention. We invite attendees to come prepared with questions and a keen interest in this important discussion.
12:00 PM-1:15 PM: Wednesday, 31 January 2024
The AMS Women's Committee under the AMS Board on Representation, Accessibility, Inclusion, and Diversity (BRAID) is pleased to invite you to the 21st Women in Atmospheric Science Luncheon. Join us to celebrate the women who contributed to your story, personally and professionally, as pioneers, allies, heroes, role models, inspirations, rising stars, and guiding lights.
While this networking event is primarily intended for women and underrepresented genders, it is open to all. Limited room capacity. Lunch will be provided on a first-come, first-served basis. Come early!
For more information, please contact Yaítza Luna-Cruz (AMS Women's Committee Chair - yaitza.luna-cruz@nasa.gov) or Mayra Oyola (AMS Women's Committee member oyolamerced@wisc.edu).
12:00 PM-1:45 PM: Wednesday, 31 January 2024
Lunch Break
Location: The Baltimore Convention Center
12:15 PM-1:15 PM: Wednesday, 31 January 2024
This THM is to introduce the AMS audience the need for, and activities associated with, the Radar Next Program. The NWS is seeking to understand the holistic, diverse set of radar user needs. We wish to speak to the user community of our desire to work with them to understand current unmet user needs and what the community will need in the 2035-2060 timeframe. Radar Next is being designed for more agility to adapt to changing needs, adopting a mix of observations, and supporting new business models that, collectively, will result in improvements to NOAA’s forecast capabilities while providing improved system resiliency and robustness. The Program will manage the development and deployment of the next generation of weather radar platforms. This critical Program balances the urgency of filling existing or future performance gaps with the need to establish an improved, efficient NWS weather radar data collection capability.
The National Weather Service (NWS) is making an effort to effectively reflect forecasters’ needs into policies and requirements for developers by renovating the process to develop and implement requirements into solutions, which include models, systems, technologies, and methodologies. The current NWS Governance guides us to first develop requirements independently of the developers. and then deliver them to the developers after going through a formal validation process. While this process itself is now widely understood and received, its application to actual situations is currently not considered optimal since the process is taking rather too long and the needed resources to implement the validated requirements is not sufficiently discussed and assigned. As a result, the validated requirements tend not to be delivered to the developers in time, and thus the field's needs are not properly and promptly addressed by the solutions. The Analysis and Nowcast Branch (AFS11; to be soon renamed to Analysis and Forecast Branch) of the Analyze, Forecast and Support Office has been making an effort to improve this situation. We are organizing a Town Hall Meeting to continue discussing ways to improve this situation and improve the NWS’ analysis and forecasting.
Across the 11 western states, flood damages from atmospheric rivers (AR) total roughly $1B per year. The frequency, intensity, and socio-economic impacts of these extreme western water events are strongly influenced by climate variations (such as El Niño-Southern Oscillation), and climate change is only expected to further exacerbate drought conditions punctuated by periods of intense precipitation. To become more resilient in the face of these events, skillful AR forecasts with sufficient lead time are needed. Improved forecasts will allow western water resource managers and other stakeholders to better prepare for hazardous weather impacts and manage reservoir operations. In addition, improved forecast skill will provide better information on how drought and flood risks will shift over the coming decades, which is vital to long-term infrastructure planning. NOAA leaders and scientists will speak on NOAA’s work to better understand and predict these phenomena and other western water issues.
The goal of the 2024 AMS Annual Meeting is to leverage the society’s collective strengths so that our broad community can define the steps and scientific advances necessary to minimize the impacts of climate change, and to engage policy makers and the public in that work. This town hall supports the 2024 AMS Annual Meeting theme. The U.S. is facing emerging threats to economic, national security, ecosystem, and habitat health from increasingly limited and stressed water supply and extreme events (floods and drought) nationwide due to aging water infrastructure, degrading water quality, population growth, and climate change. The National Weather Service (NWS) Office of Water Prediction (OWP) is taking steps to transform the nation’s water resources prediction capabilities, ranging from forecasts of floods to yearlong water supply to the quality of water inland and along the coasts, in an ongoing effort to improve impact-based decision support services. This Town Hall will provide a status update on NOAA’s Next Generation Water Resources Modeling Framework (NextGen), National Water Model (NWM), Flood Inundation Mapping (FIM), Enterprise Hydrofabric Solution, and Precipitation Frequency Atlas (PFA), and how BIL Provision 3 will support their development. By the end of the decade, OWP will implement this comprehensive set of improved and innovative capabilities to implement the next generation water prediction capability.
Speakers: Tom Graziano, Director, NOAA Office of Water Prediction (OWP); Brian Cosgrove, National Water Model Technical Director, Analysis and Prediction Division; Fred Ogden, Chief Scientist; David Vallee, Director, Service Innovation and Partnership Division (SIP); Sandra Pavlovic, Physical Scientist, Geo-Intelligence Division.
Support for this Event is provided by: Riverside Technology, inc; GAMA-1 Technologies, LLC; ASRC Federal; and M2 Strategy, Inc.
12:45 PM-1:05 PM: Wednesday, 31 January 2024
The focus of these 15–20-minute briefings will be on near- and short-term weather impacting the Baltimore, MD area, and extreme weather affecting urban or other vulnerable areas across the globe. The briefings will be given by students from the University of Georgia and the NOAA/NWS/Weather Prediction Center (WPC).
1:45 PM-3:00 PM: Wednesday, 31 January 2024
Are you interested in innovating solutions to climate challenges but not sure where to start? This session will provide an overview of federal resources available for scientists who are interested in climate innovation and entrepreneurship. The session will begin with a summary of the types of resources available across federal agencies that can support climate innovation, provided by representatives from the National Oceanic and Atmospheric Administration (NOAA) and the National Aeronautics and Space Administration (NASA). Following the introduction, we will be joined by a panel of climate innovators and entrepreneurs who have partnered or worked with federal agencies like NOAA, NASA, the National Science Foundation (NSF), and the Department of Energy (DOE). Panelists will share their experiences leveraging a variety of tools and resources to drive climate innovation and support their entrepreneurial endeavors.
The session will include a variety of perspectives from companies who have leveraged resources such as the Small Business Innovation and Research (SBIR) funding programs, Cooperative Research and Development Agreements (CRADAs), and other opportunities to work alongside federal partners in the ocean, climate, and space communities. Following the presentation, there will be a 90-minute breakout session to encourage interaction with agencies and the variety of resources being featured in this panel. You are invited to speak directly with presenters, panelists, other agency experts, and entrepreneurs to learn more about specific programs and opportunities.
You’re also invited to join us for a 90-minute breakout session follow-up to the Navigating Climate Innovation for Beginners: Federal Funding & Partnering workshop to encourage interaction with agencies and the variety of resources featured on the panel. Climate innovators and entrepreneurs who have partnered or worked with federal agencies and representatives from agencies including NOAA, NASA, the National Science Foundation (NSF), the Department of Energy (DOE), and others will be available to answer your questions in a small group setting. Resources represented include Small Business Innovation and Research (SBIR) funding, Cooperative Research and Development Agreements (CRADAs), and other tools for supporting innovation in the ocean, climate, and space communities. Attendees are invited to speak directly with presenters, panelists, and other invited guests, including agency experts and entrepreneurs, to learn more about specific programs and opportunities.
Weather and climate monitoring are vitally important to keep citizens safe and informed, and to help understand how Earth’s climate is changing. Environmental observing networks are designed and operated to meet national and international data and service requirements; however, the systems and methods used to monitor weather and climate can have detrimental environmental impacts. These impacts, while acknowledged, are often superseded by the criticality of observations to “public good” prediction services, as well as financial and operational feasibility considerations.
Globally, major organizations are moving toward “greener” operational models. In line with this trend, the World Meteorological Organization (WMO) has launched an initiative to enhance the environmental sustainability of observing systems and methods, with the Meteorological Service of Canada (MSC) serving as the international focal point. This initiative will develop and advance recommendations to reduce the environmental impacts of observing technologies and practices, guiding WMO Members to adopt cleaner, sustainable approaches in all areas of their work. The WMO initiative covers meteorological, marine, hydrological, and atmospheric chemistry observational domains, and will inform the future vision for the WMO Integrated Global Observing System (WIGOS), which provides an overarching global framework for designing and operating observing systems.
This session will provide a venue to share information on the WMO initiative on Environmental Sustainability of Observations and its progress to date, including results and recommendations from an international survey and workshop. It will provide a forum to discuss more environmentally sustainable observing technologies and methods, and to share best practices and lessons learned from experience to date. The session will also consider opportunities and implementation challenges from both operational and policy perspectives, with the goal of inspiring a paradigm shift toward more environmentally sustainable approaches to weather and climate monitoring.
Neo-colonial research or neo-colonial science is also described as helicopter research or parachute science. This is a practice in which researchers visit a location, collect data or samples, travel home to do analyses, and publish results, all without involving local researchers or communities, or having any further communication with them. This happens when international scientists, typically from higher-income countries, conduct field studies in another country, typically of lower income, or right here in the U.S. when researchers enter local or Indigenous spaces without involving communities, knowledge holders and local researchers. In this extractive approach, researchers assume the right to collect data, regardless of ownership or occupancy of the land. This colonialistic behavior in the Earth system sciences has its roots in the history of European scientific imperialism and the conquering of Indigenous lands and people in a “pursuit of power through the pursuit of knowledge” (Tignor et al., 2017). In the U.S., the discipline of geology developed in step with westward expansion, with the government mapping terrain and resources, and displacing Indigenous peoples from their lands.
Unfortunately, still today some scientific endeavors continue to operate in an extractive, non-inclusive way. These practices might lead scientists to take advantage of local infrastructures without including or acknowledging local researchers or communities. By not recognizing and respecting local knowledge and expertise, and by failing to involve local experts in designing and conducting research, scientists of today perpetuate colonial behaviors of the past.
We invite papers that discuss:
- What is scientific neo-colonialism and why is it a problem?
- Examples of neocolonialism practices and their impact
- Changes in research, funding, science communication, and publishing practices that can address neo-colonialism
- Education necessary to change neo-colonial practices in academia and how we train students
References: https://www.egu.eu/news/960/egu-statement-on-scientific-neocolonialism-for-earth-day/
Tignor, Robert, J. Adelman, P. Brown, B. Elman, S. Kotkin, G. Prakash, B. Shaw et al. Worlds Together, Worlds Apart: 1 Volume. WW Norton & Company, 2017.
The rapid increase in commercial satellites in Low-Earth Orbit (LEO, 200-2000 km altitude) in the last 3 years, as well as the plans for far greater increases in the future, has resulted in the new paradigm of “proliferated LEO” operations. In February 2022 it was demonstrated that space weather can disrupt these operations significantly when 38 SpaceX Starlink satellites were lost due to unexpectedly large thermospheric density increases during a geomagnetic storm. As we approach the maximum of Solar Cycle 25, it is imperative that space weather researchers, forecasters, and satellite operators work together to fully understand the space weather phenomena, forecasting requirements, and impacts to operations that can be expected. As the number of satellites in LEO continues to grow, maintaining safe operations will require improved tracking systems, better collision prediction models, new instruments and missions for improved nowcasting of the orbital environment, and more accurate and timely forecasting models for thermosphere-ionosphere conditions, Solar Energetic Particle (SEP) precipitation, and spacecraft charging. This session welcomes presentations on space weather impacts to LEO satellite operations, plans for new space traffic management tools including the NOAA Office of Space Commerce Traffic Coordination System for Space (TraCSS) and space weather applied research that can lead to improved forecasting and nowcasting of environmental conditions in the LEO space domain.
14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science Core Science Keynote
Two year colleges (2YC) play a unique role in the higher education landscape, serving students from urban and rural demographics, from high poverty neighborhoods, and communities with higher proportions of people of color. Therefore, transfer of students from 2YCs into atmospheric sciences or meteorology programs at four year colleges (4YCs) is a critical ingredient to insuring higher education in our field is inclusive and equitable. To meet the goal of successful recruitment and transfer of 2YC students to 4YC programs requires commitment, meaningful involvement, and relationship building from both 2YC and 4YC faculty and administrators. This session invites abstracts that address successes, opportunities, and challenges in the 2YC to 4YC landscape in the atmospheric sciences and meteorology landscape. We aim to delve into the conversation of where our field is already working to building relationships between 2YCs and 4YCs, blueprints for how other colleges can delve into this work, and best practices for addressing the roadblocks that we may face as we work to change the environment of 2YC to 4YC transfer to ensure it is just, equitable, diverse, and inclusive of all students.
Like much of the weather enterprise, careers within the National Weather Service (NWS) are undergoing a rapid change. Multi-disciplinary skills are becoming the norm at every level rather than a focus on niche and specific program areas. The implications are that the NWS will need to attract a workforce equipped with diverse skills, backgrounds, and perspectives in order to maintain its role as a core entity within the broader weather community.
To achieve this tall order, the broad career field within the NWS is rapidly advancing to align with the pace of change in the technology going in and coming out of the agency. As the primary duties and responsibilities of each position within the NWS changes, so too must the applicant pool of future agency leaders.
This session will feature a series of panelists focused on the broad range of career options, locations, and paths within the NWS to assist in recruitment and retention of personnel that will help meet the ever-increasing demands from its constituents and catapult the agency forward into the latter half of the 21st century.
The Ocean Enterprise encompasses the development of ocean and Great Lakes observing and modeling technologies, the use of these technologies to collect or generate environmental data, and the application of environmental information services to the delivery of societal or economic benefits. Perhaps nowhere is this knowledge-based economy more important than at our coasts. In this session we invite submissions that explore how the Ocean Enterprise contributes to coastal communities, industries, and stakeholders. Of particular interest are use cases demonstrating the societal or economic value of coastal environmental data; those that inform coastal decision making and contribute to coastal economic activity; and cases that help ensure resilience of coastal communities and the protection of the coastal environment.
As extreme heat episodes become longer, more frequent, and more intense worldwide due to climate change and urban growth, research applications that characterize risks of adverse impacts to human health and related/indirect compounding issues affecting health such as critical infrastructure failure and the economic impacts can help to identify vulnerable populations and target appropriate heat interventions. We invite abstracts that examine extreme heat risks from distinct approaches, including temperature forecasting, occupational health, sports medicine, exposure assessment, and urban planning.
Flash drought, characterized by its unusually rapid intensification, has garnered increasing attention in the physical science and impacts communities in recent years due to its compounding and cascading physical causes and socioeconomic effects. We invite submissions that advance our ability to monitor, understand, and predict the complex interactions between terrestrial, atmospheric, and oceanic processes that can be used to anticipate the effects and improve early warning of flash droughts in our changing climate. We also invite submissions that further our understanding of anthropogenic effects on flash drought and our understanding of the linkages between flash drought and impacts on energy, food, health, and water security.
Submitters: Andrew J. Hoell, NOAA/Physical Sciences Laboratory, Boulder, CO; Mike Hobbins, NOAA-Physical Sciences Laboratory, Boulder, CO; Hailan Wang, CPC, College Park, MD; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Jordan I. Christian, School of Meteorology, Univ. of Oklahoma, NORMAN, OK
With increasing advancements in time series machine learning research and models, this session will highlight research using time series specific models, such as LSTMs, in a variety of earth science applications. This includes but is not limited to topics in weather, climate, aerosol, and energy.
The NOAA Air Resources Laboratory (ARL) has contributed to advancing boundary layer and climate research for over 75 years. Before the formation of NOAA in 1970, ARL was part of the Environmental Science Services Administration (ESSA) and the US Weather Bureau, with offices geographically distributed across the nation to address global, regional, and local scientific challenges of a changing environment. ARL was originally created to study atmospheric effects of nuclear weapons tests as the Special Projects Section of the Weather Bureau under the leadership of Lester Machta. These early atmospheric transport studies were the foundation of the laboratory’s boundary layer research programs, which evolved over the decades to include atmospheric measurements for emergency response applications, development of dispersion modeling capabilities, establishment of multiple mesonets, monitoring of global acid deposition (e.g. acid rain), and observations of climate variables. Seminal atmospheric research at ARL has produced the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, which was developed by ARL scientists in 1998 and is widely used internationally, and the U.S. Climate Reference Network (USCRN), a sustained network of approximately 140 climate monitoring stations which provides air temperature, precipitation, and soil moisture data across different landscapes. In recognition of ARL’s 75th anniversary, presentations are encouraged that reflect on the innovative contributions of weather and climate research not only from ARL and its federal and academic collaborators, both past and present, but also future directions for boundary layer research that build on lessons learned from past decades of pioneering work may also be presented.
We invite abstract submissions for projects that have programmed unsupervised machine learning models for use in environmental science research and project pipelines. Examples include but are not limited to pattern recognition and object detection, classification, etc.
Evapotranspiration (ET) is a fundamental process that influences a wide range of applications across scientific disciplines such as ecology, agriculture and meteorology. In ecology, ET is critical in regulating the water balance of ecosystems, affecting plant growth, carbon uptake, and nutrient cycling. Understanding ET patterns and dynamics is essential for predicting ecosystem response to changes in environmental conditions, such as climate or land use change. In agriculture, ET is critical for estimating crop water requirements and scheduling irrigation, helping to optimize crop yield and reduce water use in water limited regions. It can also indicate drought conditions, providing insights into water availability and potential crop stress. Ultimately, ET is critical for understanding the Earth’s energy balance and the role of the water cycle in regulating the climate system. By accurately modeling and monitoring ET, we can improve our ability to understand climate change impacts on water resources and ecosystems, while increasing the resiliency of these systems. Considering this, and in keeping with this year’s AMS theme of “Living in a Changing Environment”, we are seeking submissions related to novel approaches focusing on ET field to remote sensing monitoring and modeling. We encourage interdisciplinary ET studies aiming to explain, mitigate, and/or prevent disruptions or changes in ecosystems, agriculture, drought, or climate.
Submitters: Kyle R. Knipper, Sustainable Agricultural Water Systems Unit, USDA-Agricultural Research Service, Davis, CA; Nicolas E. Bambach, Viticulture and Enology, Univ. of California Davis, Davis, CA; Martha C. Anderson, Hydrology and Remote Sensing Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, UT; William Kustas, Hydrology & Remote Sensing Lab, USDA, Beltsville, MD and Yun Yang, Mississippi State Univ., Starkville, MS
The increasing frequency and magnitude of hydrometeorological extremes are exacerbating the risks of global flood events on an unprecedented scale. Changing human-climate dynamics, in particular, present unique challenges for scientific communities to accurately monitor, analyze, forecast, predict, and manage large-scale flood events. Accurate and timely prediction of flood hazards is pivotal for decision-makers in developing flood mitigation, climate resilience, and disaster management strategies. Recent advances in science and technology have led to the development of improved monitoring systems and predictive models that can assimilate observational data into modeling frameworks providing significantly improved understanding and characterization of flood risks. The evolution of remote sensing technologies and monitoring networks, in conjunction with human feedback, are advancing the predictive capabilities, but challenges remain for large-scale floods. The session invites contributions including but not limited to, (1) the development of flood-monitoring and prediction tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, machine learning), (2) the analysis of floods, and (3) lessons learned from managing floods from scientific and societal perspectives. Papers focusing on large-scale flood modeling efforts as well as continental and global scale hydrologic forecasting systems are of particular interest.
How do you tailor your research for new or improved products and services? How can you gauge whether your products and services are meeting the needs and expectations of your customers, or even reaching your intended users? What preparations are necessary for introducing your users to new products and services? These are the questions that will be discussed and explored in this session.
The aim of this session is to offer R2O conference attendees insights into various facets of user engagement. This includes: building and maintaining relationships with users, understanding users' needs and their impacts, preparing users through education and support, and enhancing the customer experience.
We welcome discussions on all aspects, challenges, and examples of user engagement. We are particularly interested in exploring how groups incorporate user needs information to inform decisions on product and service development and improvement. The talks will showcase examples of how user needs information forms a vital part of the value chain, with proven success stories in transitioning user needs to use-inspired science, and from there, to the development of operational products and their delivery to the user.
Moreover, this session invites dialogue between the R2O community and the User Engagement community on how to improve the usefulness of users' needs and information collected for NOAA's research and operational community."
Conveners: Martin Yapur, Renata Lana, Thanh Vo – NOAA/NESDIS
This town hall will explore accessibility issues relating to weather and climate today and in the future in line with the AMS Annual Meeting theme “Living in a Changing Environment.” Hosted by the AMS Board on Representation, Accessibility, Inclusion, and Diversity (BRAID) Accessibility Committee, we ask the following questions: What accessibility issues relating to weather and climate exist today? What accessibility-related issues will emerge in our changing environment? How do the accessibility issues today inform how we approach accessibility tomorrow? This town hall will feature a panel which will discuss these three questions from both a general and a personal perspective. Following the panelists’ dialogue, we will have an open discussion about how the changing environment impacts all of us, across dis/ability identities, and how we can be cognizant of these issues moving forward. Additionally, information on the current state of accessibility-related concerns and resources in the face of natural disasters will be discussed. Everyone is welcome; come join us!
Climate data and information demand for real-world designs, operations, and decision making continue to expand. Understanding and meeting these needs requires robust partnerships between researchers, engineers, planners, resource managers, corporations, decision makers, and communities. In this session we invite presentations on assessing and meeting climate information and socio-economic needs to support equitable and inclusive engineering planning, design, operations, and decision making for a wide variety of applications. We hope to build a session that discusses these needs in addition to potential solutions towards fulfilling them(e.g., revised manuals of practice, updated engineering standards, necessary data resources, and new design and analysis methods and strategies that make our engineering and scientific practices effective for all members of our society). We welcome abstracts that highlight climate information needs for infrastructure and strategies that accelerate equitable and inclusive designs and practices for historically underserved and socially vulnerable communities.
Atmospheric rivers (ARs) are long, narrow filamentary structures that involve intensive water vapor transport in the lower troposphere and are essential to the global hydrological cycle. They are often associated with extreme winter storms and heavy precipitation along the western coasts of mid-latitude continents and have the ability to produce major flooding events and/or relieve droughts. Understanding how ARs may vary from subseasonal-to-interannual time scale and change in a warmer climate is critical to advancing understanding and prediction of regional precipitation.
Quantifying uncertainty in AR science, which may originate from detection methodology, reanalysis products, initial condition, and model error or spread, plays a crucial role in assessing confidence in process-level and impact-orientated AR analysis and predictions. Communicating risk and uncertainty to stakeholders from AR impacts is also necessary for adaptation and establishing resilience to high impact AR events that can result in flooding, landslides, and melting of sea ice, snow, and glaciers.. Continuing this session from past years, and in the context of these AR-related challenges, this session will focus on AR science, impacts, and uncertainty quantification across a range of scientific foci and time scales. We encourage submissions from topics such as AR development, driving mechanisms, dynamical and thermodynamical responses, case studies including but not limited to the 2022-2023 wet season on the United States west coast as well as climate change, linkage with multi-scale climate variability and S2S predictability, compound events, and impacts on different components of the Earth system. Uncertainty quantification is encouraged as a part of each topic.
NOAA has begun the formulation of next generation of Low Earth Orbiting (LEO) satellites following the highly successful JPSS mission under the Near Earth Orbit Network (NEON) Program. The future LEO missions are planned to be acquired in series, where each series addresses specific observational needs and capabilities necessary to support NOAA’s primary essential capabilities. Future missions are expected to have improved observational capabilities and offer diversity and agility in meeting evolving user needs. NEON strategy not only includes missions that will be acquired by NOAA but also partnerships with other national and international agencies. This session will include brief presentations on LEO from NOAA leadership followed by a townhall to solicit community feedback and provide responses to queries.
How can faith-based communities and spiritual organizations serve as resilience hubs for individuals and communities that are dealing with the impacts of extreme weather and climate change? This session will highlight recent success stories, good practices, and opportunities for the Weather, Water, and Climate Enterprise to partner with faith-based and spiritual organizations in an effort to address challenges and capture opportunities related to climate change. The benefits of working together are limitless. Faith/spiritual-based organizations and leaders are trusted, influential, and everywhere. The Weather, Water, and Climate Enterprise can help communities take giant steps to better preparedness, responsiveness, and resilience to extreme weather events.
3:00 PM-3:40 PM: Wednesday, 31 January 2024
ePoster session for 15Energy.
This e-poster session consists of a variety of topics involving measurements, observations, and instrumentation.
3:00 PM-4:30 PM: Wednesday, 31 January 2024
Poster session for 15Energy.
5DEI Posters
Location: Hall E (The Baltimore Convention Center)
Drought is a multi-faceted phenomenon that challenges our current prediction capabilities, yet its environmental and economic consequences are among the most serious of all natural disasters. In the changing environment of a warming climate, drought is expected to increase in frequency, duration, and intensity at both regional and global scales, and this will result in increasing environmental security risk. Improving analysis and prediction of all drought types requires the use of multiple data sources, including in-situ and remote-sensing data, surface observations, and indicators of societal impact. Satellite hydrological variables and vegetation indices have contributed dramatically to our understanding of the mechanisms of drought occurrence and development, while facilitating the separation of the drought signal from normal hydrologic and vegetation conditions. Remotely sensed land observations are used to force or parameterize models, and the hydrological outputs provide the foundation for existing drought indicators. However, making significant improvements in monitoring and prediction will not only require advances in understanding drought mechanisms, but also of the societal impacts and how to better manage water resources. There are still many open scientific questions related to data fusion, integration of drought indicators, emerging social media data sources and the optimal combination of these data sets for providing insights to climate, environmental security, and societal changes with respect to drought events. Addressing these outstanding challenges related to drought monitoring and prediction directly aligns with this year’s AMS Meeting Theme of “Living in a Changing Environment.”
Specific topics addressed by presenters could include but are not limited to: current drought prediction science and skills at various lead times; advances in our understanding of the causes and characteristics of drought and impacts of land-atmosphere interactions, data analyses and numerical modeling; innovative management uses of drought science; and case studies illustrating advances in understanding, monitoring and prediction of drought and drought impacts. Further, papers identifying and/or addressing gaps and deficiencies in our current methods for predicting droughts and estimating its effects on vegetation, water and energy resources, environmental security, and the health and food security of human populations are also invited.
Submitters: Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS; Molly Woloszyn; Maya Robinson, NOAA, Urbana, IL and Jason A. Otkin, CIMSS, Madison, WI
The increasing frequency and magnitude of hydrometeorological extremes are exacerbating the risks of global flood events on an unprecedented scale. Changing human-climate dynamics, in particular, present unique challenges for scientific communities to accurately monitor, analyze, forecast, predict, and manage large-scale flood events. Accurate and timely prediction of flood hazards is pivotal for decision-makers in developing flood mitigation, climate resilience, and disaster management strategies. Recent advances in science and technology have led to the development of improved monitoring systems and predictive models that can assimilate observational data into modeling frameworks providing significantly improved understanding and characterization of flood risks. The evolution of remote sensing technologies and monitoring networks, in conjunction with human feedback, are advancing the predictive capabilities, but challenges remain for large-scale floods. The session invites contributions including but not limited to, (1) the development of flood-monitoring and prediction tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, machine learning), (2) the analysis of floods, and (3) lessons learned from managing floods from scientific and societal perspectives. Papers focusing on large-scale flood modeling efforts as well as continental and global scale hydrologic forecasting systems are of particular interest.
In 2018, a task force of government experts defined the phrase "extreme maritime weather" as "wind and wave conditions that pose a threat to life and property to all vessels." Such conditions do impact vessels, crews, cargoes, and maritime operations, extreme maritime weather also threatens coastlines and communities as well.
Understanding and predicting extreme maritime conditions requires a broad spectrum of atmospheric and ocean observations including in situ and remotely sensed data. Prediction systems must be able to assimilate such observations and yield forecast parameters at temporal and horizontal resolutions that include the complex interactions between the atmosphere and ocean. The resulting metocean services, whether public or private, must meet the need to ensure informed decision making.
This session is intended to cast a wide net with a common focus on extreme maritime weather events impacting ocean and coastal areas with an earth system perspective of observations, prediction systems, science gaps, services, and impacts. A key goal of this Symposium and session is to enhance a metocean focus within the AMS community with participation from the private, public, academic, and underserved communities.
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
Flash drought, characterized by its unusually rapid intensification, has garnered increasing attention in the physical science and impacts communities in recent years due to its compounding and cascading physical causes and socioeconomic effects. We invite submissions that advance our ability to monitor, understand, and predict the complex interactions between terrestrial, atmospheric, and oceanic processes that can be used to anticipate the effects and improve early warning of flash droughts in our changing climate. We also invite submissions that further our understanding of anthropogenic effects on flash drought and our understanding of the linkages between flash drought and impacts on energy, food, health, and water security.
Submitters: Andrew J. Hoell, NOAA/Physical Sciences Laboratory, Boulder, CO; Mike Hobbins, NOAA-Physical Sciences Laboratory, Boulder, CO; Hailan Wang, CPC, College Park, MD; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Jordan I. Christian, School of Meteorology, Univ. of Oklahoma, NORMAN, OK
Air quality is a significant human health concern globally. However, in many regions, the cost to install and maintain high-grade sensors is prohibitive, thus many people have little or no information about their local air quality. Growth in the development of low-cost sensor technology has provided new opportunities for monitoring air quality in previously under-monitored communities and has facilitated an increase in community-driven networks and science initiatives. Low-cost sensors can provide unprecedented information on the spatial and temporal variability of air quality at hyperlocal scales. However, accuracy of sensor data can be of concern; thus, significant research has also gone into sensor evaluation and into development of methods to improve data quality. Topics in this session may include development and evaluation of low-cost air quality sensors, results from community deployments (including successes and challenges), and methodologies for combining and comparing low-cost sensor data with more traditional air quality measurements and observations.
The planetary boundary layer (PBL) is characterized by rapid changes in temperature, humidity, and wind speed, and is where we experiment the weather. Surface processes such as turbulence and friction affect the PBL, which in turn modulate convective development and momentum transport, thus affecting the coupling between the surface and the free troposphere. Hence, understanding the dynamics and physics of the PBL is critical for a range of applications, including weather, air quality, and climate. In this regard, novel instrumentation and novel methods of combining existing instruments have helped advance our understanding of the PBL processes. This session invites presentations that report on these latest advances, including but not limited to: advances in (1) in-situ measurements with balloons and aircraft, (2) remote sensing with radar, lidar and radiometers, (3) ground-based measurements with sonic anemometers and flux towers, and (4) the combination of multiple observation platforms. The session will cover a range of topics, including PBL height and variability, turbulent fluxes of heat, moisture, and momentum, and the interactions between the PBL and the free atmosphere. The aim is to promote a discussion on the challenges and opportunities in PBL measurements, such as the need for high-resolution measurements over heterogeneous terrain and the development of new measurement techniques for measuring vertical profiles of PBL properties.
Posters III
Location: Hall E (The Baltimore Convention Center)
Poster session for the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science
Global and regional quantitative precipitation estimates (QPEs) are critical for understanding climate variability and hydrometeorological cycles, detecting natural disasters, improving flash flood and weather forecasts, and effectively managing the use of Earth's freshwater resources. However, obtaining accurate QPEs is a challenging task in many areas of the world due to sparse gauge networks, complex terrain, and global water cycle acceleration. Recent advances in radar and satellite remote sensing of precipitation are progressing rapidly, with the aims of providing accurate and high-resolution precipitation estimates, accurate flash flood forecasting, and understanding the causes and underlying processes of these natural hazards. This session invites high quality, original research contributions from radar and satellite meteorology and associated data sciences, including improved QPE retrievals from satellite and radar remote observations and novel methods to produce multi-sensor QPEs by merging multiple satellite/radar products and/or in-situ observations. Assessments of remotely sensed QPE product performance, as well as demonstrations of the applicability of remotely sensed QPEs for improved weather and hazards forecasting or understanding of hydrometeorological processes are also encouraged.
Submitters: Janice L. Bytheway, CIRES, Boulder, CO; Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, CO and Ryan Gonzalez, Department of Atmospheric Science, Colorado State University, Fort Collins, CO
Evapotranspiration (ET) is a fundamental process that influences a wide range of applications across scientific disciplines such as ecology, agriculture and meteorology. In ecology, ET is critical in regulating the water balance of ecosystems, affecting plant growth, carbon uptake, and nutrient cycling. Understanding ET patterns and dynamics is essential for predicting ecosystem response to changes in environmental conditions, such as climate or land use change. In agriculture, ET is critical for estimating crop water requirements and scheduling irrigation, helping to optimize crop yield and reduce water use in water limited regions. It can also indicate drought conditions, providing insights into water availability and potential crop stress. Ultimately, ET is critical for understanding the Earth’s energy balance and the role of the water cycle in regulating the climate system. By accurately modeling and monitoring ET, we can improve our ability to understand climate change impacts on water resources and ecosystems, while increasing the resiliency of these systems. Considering this, and in keeping with this year’s AMS theme of “Living in a Changing Environment”, we are seeking submissions related to novel approaches focusing on ET field to remote sensing monitoring and modeling. We encourage interdisciplinary ET studies aiming to explain, mitigate, and/or prevent disruptions or changes in ecosystems, agriculture, drought, or climate.
Submitters: Kyle R. Knipper, Sustainable Agricultural Water Systems Unit, USDA-Agricultural Research Service, Davis, CA; Nicolas E. Bambach, Viticulture and Enology, Univ. of California Davis, Davis, CA; Martha C. Anderson, Hydrology and Remote Sensing Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, UT; William Kustas, Hydrology & Remote Sensing Lab, USDA, Beltsville, MD and Yun Yang, Mississippi State Univ., Starkville, MS
3:30 PM-4:00 PM: Wednesday, 31 January 2024
3:45 PM-5:00 PM: Wednesday, 31 January 2024
3:50 PM-4:30 PM: Wednesday, 31 January 2024
Drought is a multi-faceted phenomenon that challenges our current prediction capabilities, yet its environmental and economic consequences are among the most serious of all natural disasters. In the changing environment of a warming climate, drought is expected to increase in frequency, duration, and intensity at both regional and global scales, and this will result in increasing environmental security risk. Improving analysis and prediction of all drought types requires the use of multiple data sources, including in-situ and remote-sensing data, surface observations, and indicators of societal impact. Satellite hydrological variables and vegetation indices have contributed dramatically to our understanding of the mechanisms of drought occurrence and development, while facilitating the separation of the drought signal from normal hydrologic and vegetation conditions. Remotely sensed land observations are used to force or parameterize models, and the hydrological outputs provide the foundation for existing drought indicators. However, making significant improvements in monitoring and prediction will not only require advances in understanding drought mechanisms, but also of the societal impacts and how to better manage water resources. There are still many open scientific questions related to data fusion, integration of drought indicators, emerging social media data sources and the optimal combination of these data sets for providing insights to climate, environmental security, and societal changes with respect to drought events. Addressing these outstanding challenges related to drought monitoring and prediction directly aligns with this year’s AMS Meeting Theme of “Living in a Changing Environment.”
Specific topics addressed by presenters could include but are not limited to: current drought prediction science and skills at various lead times; advances in our understanding of the causes and characteristics of drought and impacts of land-atmosphere interactions, data analyses and numerical modeling; innovative management uses of drought science; and case studies illustrating advances in understanding, monitoring and prediction of drought and drought impacts. Further, papers identifying and/or addressing gaps and deficiencies in our current methods for predicting droughts and estimating its effects on vegetation, water and energy resources, environmental security, and the health and food security of human populations are also invited.
Submitters: Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS; Molly Woloszyn; Maya Robinson, NOAA, Urbana, IL and Jason A. Otkin, CIMSS, Madison, WI
The increasing frequency and magnitude of hydrometeorological extremes are exacerbating the risks of global flood events on an unprecedented scale. Changing human-climate dynamics, in particular, present unique challenges for scientific communities to accurately monitor, analyze, forecast, predict, and manage large-scale flood events. Accurate and timely prediction of flood hazards is pivotal for decision-makers in developing flood mitigation, climate resilience, and disaster management strategies. Recent advances in science and technology have led to the development of improved monitoring systems and predictive models that can assimilate observational data into modeling frameworks providing significantly improved understanding and characterization of flood risks. The evolution of remote sensing technologies and monitoring networks, in conjunction with human feedback, are advancing the predictive capabilities, but challenges remain for large-scale floods. The session invites contributions including but not limited to, (1) the development of flood-monitoring and prediction tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, machine learning), (2) the analysis of floods, and (3) lessons learned from managing floods from scientific and societal perspectives. Papers focusing on large-scale flood modeling efforts as well as continental and global scale hydrologic forecasting systems are of particular interest.
Flash drought, characterized by its unusually rapid intensification, has garnered increasing attention in the physical science and impacts communities in recent years due to its compounding and cascading physical causes and socioeconomic effects. We invite submissions that advance our ability to monitor, understand, and predict the complex interactions between terrestrial, atmospheric, and oceanic processes that can be used to anticipate the effects and improve early warning of flash droughts in our changing climate. We also invite submissions that further our understanding of anthropogenic effects on flash drought and our understanding of the linkages between flash drought and impacts on energy, food, health, and water security.
Submitters: Andrew J. Hoell, NOAA/Physical Sciences Laboratory, Boulder, CO; Mike Hobbins, NOAA-Physical Sciences Laboratory, Boulder, CO; Hailan Wang, CPC, College Park, MD; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Jordan I. Christian, School of Meteorology, Univ. of Oklahoma, NORMAN, OK
4:30 PM-5:00 PM: Wednesday, 31 January 2024
The aim of this session is to highlight funding opportunities available for atmospheric science research, specifically observations, across NOAA and other federal agencies that would advance the weather and water enterprise. As high-impact weather phenomena continue to affect life, property, and the national economy, research remains critical. From instrumentation within the planetary boundary and troposphere layers during severe weather or floating on the ocean surface in a tropical system, to knowledge transfer and advancing numerical weather prediction, research from the ground up is the key to advancing science and technology - and securing funding is one of the essential parts of research. This session will serve as an opportunity to learn more about federal funding opportunities. Key information will include the frequency and cycles of funding opportunities for research pertaining to observations, available funds, research priorities, and more. We encourage the submission of presentation abstracts from NOAA offices as well as other federal agencies (e.g. NSF, NASA, DOE) that would be interested in providing an overview of funding opportunities available through their programs, labs, or agencies.
4:30 PM-6:00 PM: Wednesday, 31 January 2024
Clean energy is a key component to resilient infrastructure. Providing decision-makers, including stakeholders across national security, government, and infrastructure owners and operators (such as utilities) the information and tools they need to make decisions related to energy is critical to improving community resilience.
In this 90-minute stakeholder engagement session, NREL’s Joint Institute for Strategic Energy Analysis (JISEA) will present findings from their Climate Resilience Catalyzer, a cross-NREL collaborative approach to developing a clean energy and climate resilience research agenda.
We invite stakeholders to discuss our cross-lab research priorities and a subset of guiding research questions related to economics through guided discussion. We will also present opportunities we’ve identified for interested partners to collaborate with NREL to build upon our existing tools, models, and analyses, with the goal to better understand and address the economic links between clean energy and infrastructure resilience.
The NOAA Unified Forecast System (UFS) is a proposed community-based, coupled comprehensive Earth modeling system that is designed to incorporate coastal hydrodynamic, hydrologic, and oceanographic forecast model core(s) into a simplified NOAA modeling suite. The UFS Coastal Applications Team (CAT) - Water Quantity set up three sub-application teams–marine navigation, risk reduction, and total water level–to set the foundation for the selection of an oceanographic model(s) to be part of the UFS that supports the marine navigation, coastal resilience, and disaster and risk mitigation communities. The three sub-application teams have developed consensus user requirements, developed criteria for selecting oceanographic models, selected a list of models for further evaluation, and recommended skill assessment guidelines for subsequent evaluation of the models.
The marine navigation sub-application team is now evaluating the coastal model cores, with NOAA partnering with academic collaborators to generate the model mesh; set up the models; run simulations for tides alone and then coupled to atmosphere, wave, sea ice, and hydrologic models; and then evaluate the model performance and accuracy based on selected criteria. A purpose is to build the coastal modeling communities around these models, and train the next generation of modelers and scientists, to support the UFS and other operational coastal oceanographic models and their applications.
We encourage oral and poster presentations on:
- Coastal modeling, including coupled earth-system models in the coastal zone, in support of the UFS CAT effort, including from academic, government, and industry testers, and from model developers
- Coastal ocean models and products supporting precision marine navigation, the Blue Economy, and other critical needs (e.g. water levels, ocean currents, surface waves)
- Coastal ocean studies for public safety, disaster and risk mitigation, and resilience for coastal economies and communities
- Coastal studies for ecological health, water quality, pollutant transport, invasive species, and impacts on industries (e.g. tourism and fisheries)
Spatio-temporal variations in the ionosphere-thermosphere (IT) system are well-known manifestations of variability in space weather conditions. However, in recent times, different lower atmosphere processes and terrestrial weather have also been shown to produce variabilities that can directly or indirectly impact the upper atmosphere and ionosphere on a wide range of spatial and temporal scales, and couple with the effects driven by space weather. The focus of this session is to discuss this connection between space weather and terrestrial weather. Relevant topics include but are not limited to planetary waves and tides, acoustic and gravity waves, multi-layer observation and/or model-based studies of the different lower atmospheric contributions to the dynamics and variability of the near-earth space environment.
Making the weather, water, and climate community more inclusive, equitable, and diverse is a task to be tackled by the entire community. Scientific pursuits have a troubling history of a culture of exclusionary and exploitative behaviors toward minoritized and marginalized communities. Systemic barriers continue to hinder inclusion, which leads to lack of gender, racial, and/or ethnic diversity, and exclusion of people with disabilities, among other consequences. To change this culture, as scientists we must increase our own awareness, acknowledge and address biases, examine the culture and climate of our work environments, dismantle policies and practices that are inherently exclusionary, and be intentional in fostering a culture that is welcoming, beneficial, and productive for all members.
This session invites papers that seek to create and nurture a culture that promotes inclusion, equity, anti-racism, and diversity in the weather, water, climate community. We also seek to have discussions around the following questions:
- What are some successful models of expanding individuals from underrepresented backgrounds in meteorology/geosciences?
- What can be done to make meteorology/geoscience careers more accessible?
- What can be done to build a just and fair scientific and workplace culture?
Research at the intersection of climate/weather and health is a rapidly growing space spanning many disciplines. While interdisciplinary research bridges expertise and allows for creative methodologies to be applied to unique problems, it can be difficult to appropriately combine data from disparate fields. The goal of this session is to build community capacity in this interdisciplinary space by exploring how to most effectively use environmental data sources in public health and epidemiological applications. Potential topics for this session include examinations and comparisons of data sets for use cases, downscaling techniques, bias correction methods, merging spatial scales of environmental and health data, operationalizing existing data sources for health applications, and any other topic broadly centered on best practices for employing environmental data in the health sphere. We invite researchers and practitioners from all relevant perspectives to join this session, including climate science, environmental health, public health, meteorology, epidemiology, veterinary science, and any other discipline motivated to explore this boundary. This session is co-presented by AMS and the American Geophysical Union (AGU).
This session seeks presentations about Extreme Value Analysis (EVA) and the prediction of rare events.
This session would showcase informal weather education outreach activities, programs and events being done in local communities across the US and beyond. Partnerships between local, state and federal government, non-profit and for-profit partners would be highlighted. Examples of partners working together could be NOAA, NWS, NHC, AOML, emergency management agencies, universities, local science museums, corporations, and media. Some of these partners could also be Weather-Ready Nation Ambassadors. Speakers would make brief presentations followed by a panel discussion for Q&A with the audience.
Forecasting a Continuum of Environmental Threats (FACETs) is a proposed next-generation weather forecast and warning framework for all weather hazards. This framework is expected to be modern, flexible, and designed to communicate clear and simple hazardous weather information to better serve the public. This session will cover FACETs efforts at all levels, including past, present, and future paradigms.
The planetary boundary layer (PBL) is characterized by rapid changes in temperature, humidity, and wind speed, and is where we experiment the weather. Surface processes such as turbulence and friction affect the PBL, which in turn modulate convective development and momentum transport, thus affecting the coupling between the surface and the free troposphere. Hence, understanding the dynamics and physics of the PBL is critical for a range of applications, including weather, air quality, and climate. In this regard, novel instrumentation and novel methods of combining existing instruments have helped advance our understanding of the PBL processes. This session invites presentations that report on these latest advances, including but not limited to: advances in (1) in-situ measurements with balloons and aircraft, (2) remote sensing with radar, lidar and radiometers, (3) ground-based measurements with sonic anemometers and flux towers, and (4) the combination of multiple observation platforms. The session will cover a range of topics, including PBL height and variability, turbulent fluxes of heat, moisture, and momentum, and the interactions between the PBL and the free atmosphere. The aim is to promote a discussion on the challenges and opportunities in PBL measurements, such as the need for high-resolution measurements over heterogeneous terrain and the development of new measurement techniques for measuring vertical profiles of PBL properties.
New Open Tools in the Atmospheric and Oceanographic Sciences.
This session will involve looking to the future of the profession and cover a wide range of science librarianship-related topics.
Drought is a multi-faceted phenomenon that challenges our current prediction capabilities, yet its environmental and economic consequences are among the most serious of all natural disasters. In the changing environment of a warming climate, drought is expected to increase in frequency, duration, and intensity at both regional and global scales, and this will result in increasing environmental security risk. Improving analysis and prediction of all drought types requires the use of multiple data sources, including in-situ and remote-sensing data, surface observations, and indicators of societal impact. Satellite hydrological variables and vegetation indices have contributed dramatically to our understanding of the mechanisms of drought occurrence and development, while facilitating the separation of the drought signal from normal hydrologic and vegetation conditions. Remotely sensed land observations are used to force or parameterize models, and the hydrological outputs provide the foundation for existing drought indicators. However, making significant improvements in monitoring and prediction will not only require advances in understanding drought mechanisms, but also of the societal impacts and how to better manage water resources. There are still many open scientific questions related to data fusion, integration of drought indicators, emerging social media data sources and the optimal combination of these data sets for providing insights to climate, environmental security, and societal changes with respect to drought events. Addressing these outstanding challenges related to drought monitoring and prediction directly aligns with this year’s AMS Meeting Theme of “Living in a Changing Environment.”
Specific topics addressed by presenters could include but are not limited to: current drought prediction science and skills at various lead times; advances in our understanding of the causes and characteristics of drought and impacts of land-atmosphere interactions, data analyses and numerical modeling; innovative management uses of drought science; and case studies illustrating advances in understanding, monitoring and prediction of drought and drought impacts. Further, papers identifying and/or addressing gaps and deficiencies in our current methods for predicting droughts and estimating its effects on vegetation, water and energy resources, environmental security, and the health and food security of human populations are also invited.
Submitters: Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS; Molly Woloszyn; Maya Robinson, NOAA, Urbana, IL and Jason A. Otkin, CIMSS, Madison, WI
The NOAA Air Resources Laboratory (ARL) has contributed to advancing boundary layer and climate research for over 75 years. Before the formation of NOAA in 1970, ARL was part of the Environmental Science Services Administration (ESSA) and the US Weather Bureau, with offices geographically distributed across the nation to address global, regional, and local scientific challenges of a changing environment. ARL was originally created to study atmospheric effects of nuclear weapons tests as the Special Projects Section of the Weather Bureau under the leadership of Lester Machta. These early atmospheric transport studies were the foundation of the laboratory’s boundary layer research programs, which evolved over the decades to include atmospheric measurements for emergency response applications, development of dispersion modeling capabilities, establishment of multiple mesonets, monitoring of global acid deposition (e.g. acid rain), and observations of climate variables. Seminal atmospheric research at ARL has produced the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, which was developed by ARL scientists in 1998 and is widely used internationally, and the U.S. Climate Reference Network (USCRN), a sustained network of approximately 140 climate monitoring stations which provides air temperature, precipitation, and soil moisture data across different landscapes. In recognition of ARL’s 75th anniversary, presentations are encouraged that reflect on the innovative contributions of weather and climate research not only from ARL and its federal and academic collaborators, both past and present, but also future directions for boundary layer research that build on lessons learned from past decades of pioneering work may also be presented.
This session seeks submissions on topics aimed at transitioning FIM products and services to operations; use cases; and underlying support data (e.g.; hydrofabric).
Session Organizers: John Pereira, David Vallee, NOAA Office of Water Prediction
This session is devoted to data sciences and machine learning techniques in weather radar observations and quantitative applications. Topics include but are not limited to weather radar signal and data processing, physical sciences in radar meteorology and hydrology, and radar applications such as precipitation classification, estimation and nowcasting. This session will also feature presentations about combining radar measurements in the context of numerical model assimilation and short-term forecasts, as well as multiscale data fusion and regularization.
Mixed-phase clouds composed of a mixture of supercooled liquid droplets and ice crystals are found across the globe. They are the dominant cloud type during the colder three-quarters of the year in the Arctic while at lower latitudes, mixed-phase clouds occur are associated with deep convection, synoptic-scale midlatitude weather systems, and orographic clouds. Aerosols by serving both cloud condensation nuclei and ice nuclei can alter mixed-phase cloud properties, and consequently modulate the regional hydrological cycle. This session invites papers on any of the following or related subjects: (1) characterization of mixed-phase clouds using observations and modeling; (2) process-level understanding of CCN/IN impacts on mixed-phase clouds; (3) assessment of the climatic influence of aerosol–cloud interaction in mixed-phase clouds, especially over the Arctic; (4) evaluation and improvement of mixed-phase clouds in numerical models. Contributions from recent field campaigns such as MOSAiC (Multidisciplinary Drifting Observatory for the Study of Arctic Climate) are encouraged.
GIS technology gives the user almost limitless potential to gather, analyze, and contextualize data from different sectors to provide insight into weather and climate patterns and impacts. This session will focus on two areas: 1) using local and cloud-based tools for the analysis; 2) sharing those analyses in using Python notebooks or web applications to engage our communities.
Over the past three decades, the Bulletin of the American Meteorological Society (BAMS) annual State of the Climate (SoC) report has provided a compendium of essential climate variables (ECVs), their status and relation to the long-term and to other ECVs over the previous year. The SoC also provides a forum for introducing new datasets, techniques, analyses and interesting phenomena in the earth system. Together, the material presented in the report each year gives the reader a full picture of the status of our changing climate system and our ever-evolving ability to accurately monitor each piece. Since its inception, new ECVs, datasets, and methods have been continually added or updated to enhance this picture. Given the broad scope of the SoC, space for elaborating on and providing additional detail for any particular ECV is at a premium. Given the timeline for publication of the SoC each year, time to investigate in detail the state of an ECV and its relation to other ECVs is also at a premium. This session is an opportunity to present in depth status for ECVs for 2022 and 2023, causes for the given state, notable events for 2022 and 2023, relationships to other ECVs, impact on the natural and human environment, and implications for future states of the climate. Abstracts from SoC authors as well as other interested parties are encouraged. Presentations on ECVs not currently covered in the SoC are also encouraged.
Global and regional quantitative precipitation estimates (QPEs) are critical for understanding climate variability and hydrometeorological cycles, detecting natural disasters, improving flash flood and weather forecasts, and effectively managing the use of Earth's freshwater resources. However, obtaining accurate QPEs is a challenging task in many areas of the world due to sparse gauge networks, complex terrain, and global water cycle acceleration. Recent advances in radar and satellite remote sensing of precipitation are progressing rapidly, with the aims of providing accurate and high-resolution precipitation estimates, accurate flash flood forecasting, and understanding the causes and underlying processes of these natural hazards. This session invites high quality, original research contributions from radar and satellite meteorology and associated data sciences, including improved QPE retrievals from satellite and radar remote observations and novel methods to produce multi-sensor QPEs by merging multiple satellite/radar products and/or in-situ observations. Assessments of remotely sensed QPE product performance, as well as demonstrations of the applicability of remotely sensed QPEs for improved weather and hazards forecasting or understanding of hydrometeorological processes are also encouraged.
Submitters: Janice L. Bytheway, CIRES, Boulder, CO; Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, CO and Ryan Gonzalez, Department of Atmospheric Science, Colorado State University, Fort Collins, CO
The Fifth National Climate Assessment (NCA5)—the preeminent source of climate information in the United States—is scheduled for release in late 2023. Led by the U.S. Global Change Research Program and written by over 500 experts, NCA5 describes the observed and projected impacts of climate change on a range of sectors and ten regions of the U.S. The report assesses the latest science on adaptation and mitigation, includes new chapters on economics and social systems and justice, and explores a number of cross-cutting themes such as western wildfires and COVID-19. Equity and justice are emphasized across all chapters.
In this session, NCA5 leadership and report authors will present an overview of the report with a focus on new developments.
Artificial intelligence (AI) applied to the earth sciences has recently been a rapidly expanding field in both academic and industry spaces, due in part to its ability to extract nonlinear relationships from noisy data. The use of AI, particularly machine learning, can lead to identification of predictable signals from purely data-driven methods. Further, explainable AI techniques allow for opening of the AI “black box” to understand the model’s decision-making strategy. AI-driven advancements in climate predictability on subseasonal through multidecadal timescales, today and in a changing climate, allows for increased predictive skill and lead time, which can improve preparation. The use of AI in climate data analysis has cultivated actionable insights for the purpose of both scientific discovery and for managing climate risk.
We invite abstracts that discuss the use of AI for actionable insights, including high resolution climate forecasting and informing of adaptation and mitigation strategies, as well as using AI to isolate at-risk areas exposed to various climate impacts. This session also welcomes AI approaches applied to climate models and observational data that can be used by decision-makers and stakeholders for planning purposes. Equal consideration will be given to reproducible novel AI techniques, explainable and interpretable AI methods for exploring the climate system, sources of predictability on subseasonal-to-multidecadal timescales, and forecasts of opportunity.
This session invites papers on all aspects of extreme precipitation, including atmospheric river (AR) events, convective storms, hurricanes, typhoons, extreme snowfall events, their relationship to floods, and hydrologic impacts. Possible topics include observations (e.g., rain gauge networks, ground-based radar, satellite retrievals, multi-sensor fusion, etc.), modeling, exploration of key physical processes, short-term and seasonal prediction, orographic and elevation-based relationships, climate change, and risk assessment. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as key factors that inform decisions around changing extreme precipitation and flood risk are particularly encouraged.
Submitters: Kelly M. Mahoney, Earth System Research Laboratories/ Physical Sciences Laboratory, NOAA, BOULDER, CO; Kenneth E. Kunkel, North Carolina Institute for Climate Studies, North Carolina State Univ., Asheville, NC and John W. Nielsen-Gammon, Atmospheric Sciences, Texas A&M Univ., College Station, TX
6:00 PM-6:30 PM: Wednesday, 31 January 2024
Sponsored by ASRC Federal
6:00 PM-7:30 PM: Wednesday, 31 January 2024
7:30 PM-9:30 PM: Wednesday, 31 January 2024
Thursday, 1 February 2024
7:00 AM-8:00 AM: Thursday, 1 February 2024
The Global Atmospheric Research Program's (GARP) Atlantic Tropical Experiment, known as GATE, took place 50 years ago. It was by far the most ambitious tropical field campaign, involving more than 5,000 scientists, technicians, and supporting staff from 72 countries. GATE observations have had an unmatched legacy in the atmospheric science. This town hall meeting is co-hosted by the 12th Symposium on the Madden-Julian Oscillation and Sub-Seasonal Monsoon Variability and the 22nd History Symposium as part of the GATE 50th Anniversary Celebration. This meeting provides a platform for GATE veterans to share their experiences in planning and executing the field program, for the audience to engage in discussions pertaining to GATE-related topics, and for upcoming tropical field campaigns to be introduced. For early career professionals, this town hall meeting presents an exceptional chance to gain insights into this milestone event in the atmospheric science and have a glimpse into the future landscape of tropical field campaigns.
The National Integrated Drought Information System Reauthorization Act of 2018 (NIDISRA) instructs NOAA to establish the Earth Prediction Innovation Center (EPIC) Program as part of the Weather Program Office (WPO) to accelerate community-developed scientific and technological enhancements into the operational applications for numerical weather prediction (NWP). This Town Hall will highlight recent progress in the NOAA EPIC program to accelerate the transition of innovative research and development into operational NWP systems, and to clarify operational priorities for . EPIC has established a virtual web-based Community Portal (https://epic.noaa.gov) to support continuous integration and continuous development of the Unified Forecast System (UFS) weather model, the code base of the UFS Medium-Range Weather (MRW), Short-Range Weather (SRW), Hurricane, Coastal, Subseasonal to Seasonal (S2S) applications. EPIC hosts regular community engagement events and provides advanced user support to the UFS Community. EPIC is also providing scientific innovation opportunities in partnership with other WPO and NOAA programs, including the newly established WPO Innovation for Next Generation Scientists and upcoming Notice of Funding Opportunities. Community members are invited to participate in order to understand how they can leverage EPIC in learning and performing research to advance the UFS, and to provide feedback on how the program can help better support the weather enterprise.
7:30 AM-8:30 AM: Thursday, 1 February 2024
8:30 AM-10:00 AM: Thursday, 1 February 2024
Learning about and participating in STEM can be intimidating for people who aren’t already part of this community and may not know how to engage. As a result, some people may opt out or fear engaging, when in fact they truly do wish to participate, learn more about, or even pursue an advanced degree in these areas. What does it take to create a welcoming and accessible environment in the weather, water, climate community that encourages people to instead opt in and choose to tackle or overcome their perceived or real barriers to entry? In this session, we discuss programs and initiatives that have developed innovative and “out of the box” approaches that prioritize accessibility and creating safe, welcoming spaces - who have successfully engaged diverse populations in weather activities and/or education.
Advances in all aspects of technology means that new and novel methods of atmospheric measurement are constantly being tested and implemented. The aim of this session is to highlight emerging and innovative observing technologies, including in-situ, airborne-based, balloon-based, and unmanned systems. Also of interest are low-cost sensor solutions and methodologies for effective utilization of such sensors deployed in dense networks. Similarly, the session seeks to highlight new and interesting ways to visualize measurement data.
This panel discussion is about the co-branded ASCE/AMS standard on wind speed estimation of severe storms, what's in the standard under development, and how AMS members can participate in its development.
Forecasting space weather events present the ultimate challenge to a space physics model. A forecasting model should satisfy not only observational constraints such as the onset time, severity, and duration of actual events but also the practical requirement of timeliness, accuracy, and robustness under realistic conditions. Modern space weather forecasters and users rely on a wide variety of forecast methods, encompassing simple nonlinear regressions, complex empirical (assimilative) algorithms, physical/theoretical models, and hybrid methods. For a thorough understanding of the mechanisms of solar influences on Earth, models must relate remote sensing data and the driving influences of solar events on the magnetosphere/ionosphere in terms of physical mechanisms. This session aims to bring together experts in different disciplines to assess the state of space weather modeling and forecasting, their limitations, and the new ideas/innovations necessary to move forward
Novel Methods in Postprocessing and Verification, Diagnostics, and Evaluation of Numerical Weather Prediction (NWP)
This session invites abstracts leveraging AI tools to improve understanding and/or forecasting abilities of extreme rainfall and drought events.
Pervasive cirrus clouds around the globe are known to play a key role in the Earth's radiation budget, yet there are still many open questions concerning the life cycle and microphysical properties of these clouds. Cirrus dynamics have been observed to vary by a variety of influences, including origination mechanism, air mass origin, convection, and gravity waves. Aerosol indirect effects on cirrus clouds have also been investigated based on laboratory experiments, field measurements, remote sensing observations, and model simulations, showing that aerosol concentration, size, and composition all play an important role. These variables can affect the size, concentration, and ice habits of cirrus clouds, which affect their radiative properties. With improvements in in situ microphysical instrumentation and remote sensing retrievals over the years, more recent field studies have been able to provide improved estimates of these microphysical properties, but there are still active investigations concerning how best to represent these clouds and their interactions with aerosols in global climate models. We welcome analysis of field campaigns, modeling studies, and insights from remote sensing retrievals. We especially welcome interdisciplinary investigations looking at cloud processes, aerosol indirect effects, viable parameterizations, and radiative impacts.
Mountain ranges worldwide are experiencing unprecedented changes in their hydrology, including timing and amount of water discharge, snowpack, precipitation amount and phase, radiation, aerosols, clouds, and land-cover characteristics. Together and separately, these changes are a result of some combination of atmospheric, surface, and subsurface processes and point to the need to for process studies, observations, and longitudinal and long-term analyses. They also highlight the need for investigations that are vertically integrated from the sub-surface through the atmosphere. Integrated mountainous hydrology requires extending atmospheric science investigations below the surface and conversely extending sub-surface and surface science investigations into the atmosphere.
Submissions are welcome that use observations ranging from the field scale, including the U.S. Department of Energy’s Surface Atmosphere Integrated field Laboratory (SAIL), NOAA’s Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), and/or NSF’s Sublimation of Snow (SOS) campaigns. Submissions are also welcome that use remote sensing to develop deeper scientific understanding and improved modeling of mountainous hydrology and its change, either for short- and medium-term forecasting or long-term projections. The use of vertically-integrated data and methods to gain insights into and make substantial progress on persistent challenges for predicting change in mountainous systems are particularly encouraged.
Submitters: Daniel Feldman, LBNL, Berkeley, CA; Ethan D. Gutmann, NCAR, Boulder, CO and Mimi R. Hughes, ESRL/Physical Sciences Laboratory, NOAA, Boulder, CO
Multiyear to decadal climate variability is a fundamental aspect of the global climate system. Major international efforts are underway to provide predictions that can help decision-maker planning for the next several years to decades, but the key mechanisms driving such long-term variations, and the differing sources of predictability on multiyear vs. decadal timescales, are still not fully understood. Processes both within ocean basins and inter-basin interactions are considered important at these timescales, but to-date the magnitude of these influences remains unknown, as is the impact of atmospheric/terrestrial processes. Separation of natural decadal variability from externally-forced components is also critical but challenging. This session invites contributions examining mechanisms of internal multiyear to decadal variability in the oceans, land, and/or atmosphere, studies attempting to isolate the internal and anthropogenically forced components and their interactions in observational and model datasets, and related prediction efforts using empirical/machine learning, theoretical and modeling approaches.
Gray (1989) defined collaboration as “a process through which parties who see different aspects of a problem can constructively explore their differences and search for solutions that go beyond their own limited vision of what is possible.” This definition provides an idealized description of a collaborative environment. However, it does not highlight that collaboration is a nonlinear process involving back and forth dialogue, with challenges that often arise as individuals from different backgrounds develop and work toward a common goal. This is especially prevalent in the Research to Operations, Applications, Commercialization, and other uses (R2X) context as many researchers work alongside operational entities and practitioners during research and development. These groups share differences in the amount of time and resources they can dedicate to the effort, governance processes, organizational culture, perspectives, and communication practices, which make collaboration challenging yet necessary for the benefit of society.
This panel session will feature stories from transition teams highlighting their R2X collaboration experiences with the goal of making future collaborations more successful. Each transition team (including a research and NOAA operational partner) will differ in terms of the number of years collaborating together, scientific discipline, and experience with the various type(s) of transitions in order to offer a well-rounded and diverse learning experience, especially for people less familiar with NOAA’s R2X policies and processes. The panelists will discuss collaboration success, challenges and/or obstacles they faced, and best practices learned along the way.
Panelists in this session will be asked to think about answers to the following questions as they prepare for this interactive discussion:
- Think about an R2X collaboration experience that you found particularly successful. What do you think contributed to its success?
- What have been the biggest challenges or frustrations about your R2X collaborations? How could those challenges or frustrations have been prevented or circumvented by addressing them either before the collaboration began or earlier in the collaboration process?
- If you were advising others on best practices for collaborating with researchers and/or operational practitioners, what would you recommend and why?
- If you could wave a magic wand, what is one thing you would want to change to make R2X collaborations more efficient between researchers and operational practitioners?
References:
Gray, B. 1989. Collaborating: Finding common ground for multiparty problems. Jossey-Bass.
Bridging the gap between research and operational applications requires innovation and intentional interaction between scientists and stakeholders. The NASA Short-term Prediction Research and Transition (SPoRT; https://weather.ndc.nasa.gov/sport/) center was established in 2002 to transition NASA satellite products and capabilities to the operational weather community to improve short-term forecasting. A research-to-operations/operations-to-research paradigm has been the basis for transitioning over 40 satellite products to stakeholders over 20 years. Today SPoRT focuses on applied research in 6 focus areas including Land Surface Processes, Hydrology, Synoptic and Mesoscale Processes, Lightning & Convection, Tropical Systems, and Air Quality with partnerships spanning government agencies, academia, and the private sector. This session solicits presentations focusing on use of SPoRT products and capabilities for research, operations (e.g., weather, air quality), meteorological disaster response (e.g., flooding, drought, fire, hurricanes, severe weather), societal applications, and policy development. Presentations from researchers, stakeholders, and collaborative partners that use SPoRT products or present ideas for future SPoRT products are of interest. Additionally, presentations relevant to future NASA mission Early Adopter programs that partner with SPoRT (e.g., TROPICS and TEMPO) that focus on preparing users for future missions are relevant.
Many shallow cloud systems are sensitive to changes in aerosol properties, which act as cloud condensation nuclei, modulate cloud microphysical properties, and can influence precipitation formation and cloud-scale dynamics. Ultimately, these controls may alter low-cloud radiative properties and climate. Aerosol particles, in turn, are impacted by shallow-cloud processes. Together, these interactions result in an aerosol–cloud system whose coupling strength is highly variable and is poorly understood in terms of basic process understanding. Correctly representing this coupling in large-scale models has proven challenging. In this session we invite presentations on all topics related to aerosol–cloud interactions in shallow warm-phase clouds, including those addressing basic physical aerosol-cloud processes, the quantification of aerosol indirect effects, cloud and precipitation effects on aerosols, and the coupling between microphysical processes and boundary layer turbulence or mesoscale cloud dynamics. Contributions from recent field campaigns or which explore novel parameterizations and computational techniques are encouraged.
Climate change and variability has a major impact on the African continent, contributing to food insecurity, displacement of populations, and stress on water resources. In this session, we invite contributions on all aspects of African climate, including work emphasizing physical processes and climate theory, modern and proxy observations of climate, and numerical modeling studies of past, present, and future African climates. Intraseasonal to decadal prediction is of particular interest. Papers which connect African climate change and variability to human health, food and water security, and socio-economic development are also welcome.
The contiguous United States has water resource management challenges that are being exacerbated by a changing and growing population, climate change, land-use and landcover change, inadequate or aging infrastructure, and evolving socioeconomic drivers. These changes to water supply and demand dynamics impact policy setting and decision making at different governing and executive levels across the enterprise. To inform adaptive water management policies, best practices, and infrastructure development, advanced water monitoring and forecasting capabilities are needed. The focus of this session is to identify and address observational and modeling gaps in support of continental to global scale water resource monitoring and prediction, with a strong focus on the contiguous USA.
The session aims to bring the observational and modeling communities together to advance the state of the science and our predictive capabilities of water availability. As such, submissions are invited that explore co-design, inter- and transdisciplinary approaches to water cycle science that lead to a better understanding and quantification of water availability now and in the future. Of particular relevance are papers that explore ways to evaluate, improve and integrate existing surface observational networks across regional to continental scales, in the context of terrestrial-based and spaceborne remote sensing, and in support of Earth system modeling of the water-cycle, in order to better support regional, national and global operational weather and hydroclimate monitoring and modelling efforts. For example, approaches including observational verification, parameterization development, data assimilation, observing system design, and employing in situ observations to provide physical process constraints not currently possible/available from satellite observing systems, are welcome. Linking the socio-economic and physical sciences and demonstrating the added-value of new approaches in the context of water policy and operational management applications are also relevant. It is recognized that studies over more limited spatial and temporal scales do lead to an improved characterization of the water cycle at continental to global scales and at time periods encompassing climate, and such papers are also encouraged.
Submitters: Timothy L. Schneider; Sarah A. Tessendorf, NCAR, Boulder, CO and Petrus Oevelen, Atmospheric, Oceanic & Earth Sciences Department, George Mason University, Fairfax, VA
This session invites submissions that have utilized AI methods for remote sensing applications. Additionally, we invite those who have used AI in atmospheric applications involving clouds and aerosols. Abstracts can include model development for retrieval, classification, and/or numerical weather prediction.
Environmental data, from historical observations to upcoming missions and field campaigns, is becoming increasingly more accessible in the cloud. Cloud access supports the broader community goal of open science as data are more readily accessible and can be accessed across organizations. Operating within the cloud still primarily supports experienced users and is difficult for new users to navigate. This session encourages submissions that address the challenges faced by new users to systems and tools that have been created to enhance the user experience with these data whether for data discovery, visualization, or analysis. The presented work may include, but is not limited to: data recipes, data and information curation efforts, data processing (transformation/subsetting) and analysis tools/APIs, science notebooks, structured document database development, data discovery tools, and software tips among developers.
The Pathfinder project was initiated in 2014 as a pilot project across four western States (California, Nevada, Utah, and Wyoming) to document current State DOT interactions and working relationships with the weather enterprise (both NWS and private sector). The focus was on the I-80 corridor which represents a mix of metropolitan, vulnerable populations/underserved communities and serves as a main commercial trucking route. The team documented best practices across the agencies to disseminate consistent messages about the weather and its impact on the roads, and the way in which the messages proactively prepared travelers to change departure times, cancel trips, choose alternate routes, or select different modes of transportation in response to adverse weather conditions.
Although unintentionally, the initial focus of the Pathfinder Project was on Winter Weather, but the Project also includes mitigating hazardous traveler due to fog, smoke, wildfires, blowing dust, heavy precipitation and strong winds.
There are many examples across the country of highly beneficial partnerships spawned by the Pathfinder Project. Visibility of these efforts will inspire and lead others within the weather enterprise to spread the Pathfinder Project nationwide. Not only new and unparalleled changes have arisen because of climate change, but also new and unparalleled probabilistic messaging has evolved which can better communicate risk to the public and cost/loss modeling to the weather enterprise in the uncertain climate that lies ahead.
Cloud microphysics is critical for weather and climate prediction, being at the center of precipitation formation and cloud-radiative interactions. Representing cloud microphysics in models requires statistical parameterizations of hydrometeor populations and the processes by which they evolve and interact. We invite presentations on all aspects of cloud microphysics parameterizations across different scales of modeling, with a focus on key issues for climate as clouds change in response to climate change. Topics may include the development of new parameterization methods and evaluation using observations in key regimes that are important for weather and climate. We invite topics on new data driven methods such as machine learning and Bayesian methods for parameterization development, emulation and evaluation.
The Arctic is warming much faster than other regions on Earth. Recent amplified Arctic warming has exerted irreversible impacts on pan-Arctic terrestrial hydrology and the ecosystem. Specifically, the Arctic warming has deepened the active layer and caused permafrost to thaw, releasing a large amount of soil carbon into the atmosphere as greenhouse gases (e.g., CO2 and CH4), potentially accelerating climate warming. Meanwhile, the deepened active layer makes nutrients previously locked in permafrost soils available for microbial decomposition and accessible to plants, thus accelerating plant growth and sequestering more carbon from the atmosphere. In addition, permafrost, acting as an impermeable bottom boundary, inhibits downward water flux. Permafrost thaw then changes the lower boundary condition of soil water percolation, increasing subsurface drainage flux and thus altering soil moisture redistribution and water table. On the one hand, the changing water table alters anaerobic conditions and thus the ratio of CO2 to CH4 in total carbon emissions. On the other hand, the changing permafrost hydrology directly impacts the terrestrial lateral transport of water and carbon to the ocean. Thus, quantitatively characterizing water-carbon interactions across scales is critical to understanding the high-latitude water-carbon-climate feedback.
This session seeks contributions on high-latitude water and carbon cycles across spatial scales with various approaches, including modeling, remote sensing, and machine learning techniques. We particularly welcome papers that discuss the hydrological and hydro-biogeochemical impacts of climate warming on high-latitude permafrost regions.
Submitters: Jing Tao, LBNL, Berkeley, CA and Jennifer D. Watts, Woodwell Climate Research Center, Falmouth, MA
Climate fluctuations on a range of time scales, ranging from intra-seasonal to intra-decadal, have been analyzed on the one hand in terms of fundamental oscillations, and on the other in terms of leading patterns of variability. Examples include the Madden-Julian Oscillation, the Boreal Summer Intraseasonal Oscillation, the Arctic Oscillation, the El-Nino Southern Oscillation, and the Pacific Decadal Oscillation, although many other phenomena can be included. In each case, it is of great interest to understand how these two descriptions relate to each other. Do oscillations relate to unstable periodic orbits in some underlying phase space? How strongly would such trajectories affect to preferred patterns? Understanding how these two underlying paradigms (“waves” vs. “particles”) relate to each other will help us to better understand the variability of the climate.
This session seeks contributions on all aspects of climate variability that can be approached in the dual manner of oscillations and preferred patterns, and that try to relate the two approaches. This will lead to a fruitful and educational exchange for all researchers interested in climate variability.
Risk communication encompasses a broad range of theories and approaches, though a common theme in the Weather Enterprise is how to improve aspects of the forecast and warning process through a better understanding of challenges along the end-to-end communication spectrum, from experts to publics. Papers and presentations in this session highlight research findings, challenges, and collective experiences with the weather forecast and warning process through the lens of risk communication.
This session will focus on promising, new sensor and observing technologies, as well as improvements to current operational systems, that hold great potential to advance mesoscale observing systems and are mission-effective, integrated, adaptable, and affordable. In-situ observations of the planetary boundary layer (PBL) and troposphere, on the mesoscale specifically, serve as critical inputs for operational and research weather models for both the weather and water enterprise. Observing system experiments have shown that enhanced observational density in space and time improves mesoscale forecasts. There is a relative scarcity of high-resolution surface and PBL mesoscale observations, which impedes advancements in prediction skill of high-impact and disruptive weather events. Presentations should focus on emerging, innovative technologies and current technology improvements that hold the potential to improve the accuracy, reliability, spatial coverage, cost effectiveness, deployability, safety, and sustainability of mesoscale observations for eventual use by the operational weather and water enterprise including NOAA, the National Mesonet Program, the private sector, and other government sectors. The scope of this session includes weather- and water-related observations from the surface through the troposphere, with emphasis on the PBL, including in-situ surface, profiling, balloon-borne, radar, and airborne and uncrewed systems technologies. Satellite-based sensors are not included in this scope except to calibrate, validate, or integrate with in-situ observations as a secondary objective. New technologies from the commercial sector and unique observations of opportunity are welcome.
and Aaron Hill, NOAA/OAR Affiliate, Colorado State Univ.
10:00 AM-10:45 AM: Thursday, 1 February 2024
Coffee Break [East Foyer and West Foyer Holiday Ballroom]
Location: Hilton Baltimore Inner Harbor
A casual and cozy gathering provided by AMS BRAID where those who identify with this affinity space community may network informally. This dedicated location will include non-enclosed seating options for attendees. Take a break and build your network!
10:45 AM-12:00 PM: Thursday, 1 February 2024
Dr. Lubchenco will participate in a "fireside chat" style conversation centered around the rollout of the Fifth National Climate Assessment (NCA5) and will also discuss broad Biden Administration climate and global change scientific research and development priorities. The Administration is spearheading new coordination efforts in climate services that will serve as foundational intelligence for strategic imperatives in Climate Linked Economics.
Hosted by AT&T’s Principal Meteorologist, Mark Papier, this conversation includes perspectives from NCA5 Director, Allison Crimmins, NCA5 Chief Environmental Economist, Solomon (Sol) Hsiang, AMS President Brad Colman, and Demex’s Chief Climate Officer and Chair of the Forum on Climate Linked Economics, Stephen Bennett.
Jane Lubchenco is the Deputy Director for Climate and Environment at the White House Office of Science and Technology Policy and the U.S. Sherpa to the Ocean Panel. She leads a stellar team that uses knowledge and innovation to help achieve America’s aspirations of a healthy environment, stable climate, and prosperous, equitable, secure communities. They work on a range of intersecting topics including climate change, nature, the ocean, polar regions, Indigenous Knowledge, equity and environmental justice. Lubchenco is a marine biologist and environmental scientist with leadership experience in academia, civil society, philanthropy, and government. She served on the National Science Board for 10 years (1996-2006), as Under Secretary of Commerce for Oceans and Atmosphere and NOAA Administrator (2009-2013), and the inaugural State Department’s Science Envoy for the Ocean (2014-2016). She began her current role at the White House in early 2021, on loan from Oregon State University (OSU). She is an elected member of numerous academies including the National Academy of Sciences (NAS), Royal Society, and Pontifical Academy of Sciences and has received numerous awards including 24 honorary doctorates, a MacArthur Fellowship, and the highest honors given by the NAS, National Science Board, and the U.S. Coast Guard. She received a B.A. in biology from Colorado College, a M.S. in zoology from University of Washington, and Ph.D. in ecology from Harvard University. She has held faculty appointments at Harvard, Stanford University, and OSU.
Keynote Speaker: Dr. Jane Lubchenco, Deputy Director for Climate and Environment of the White House Office of Science and Technology Policy (OSTP)
Host: Mark Papier
Guests: Allison Crimmins, Solomon Hsiang, Brad Colman, and Stephen Bennett
In an age where dis- and misinformation related to the earth system and global change are rampant, defining truth for the public good and promoting the communication of this truth within the weather-water-climate enterprise are paramount. This session brings together current leaders in the weather-water-climate enterprise and youth changemakers–the leaders of tomorrow. The session will include an opening message from the NOAA Administrator, Dr. Richard Spinrad, on NOAA’s mission of building a climate ready nation and its commitment to engaging youth and community through its newly defined strategic missions and goals. NOAA recognizes the power, knowledge, curiosity and fresh perspective that the young citizens of the world bring together to not only learn but also engage early-on, in the dialogues related to ocean, climate and our environmental crises. The session will also bring perspectives of an environmental education and justice advocate, Dr. Terris King, CEO of Kind Enterprise Group, LLC. and Dr. Brenda Ekwurzel, Director of Climate Science, Union of Concerned Scientists. The session will be moderated by NOAA’s new Youth Changemakers leaders, who will also share their eeBLUE Young Changemakers Fellowship projects related to climate change and its impacts on their local communities.
With the reality of climate change, there is a pressing need to sharply reduce greenhouse gas emissions across the global economy. The lowest-hanging fruit is to transition our energy generation sector from being dominated by fossil fuels to being fueled predominantly (or entirely) by carbon-free sources. However, there are many barriers that have limited the pace of adoption of carbon-free energy generation well below the baseline trend necessary to meet aggressive decarbonization goals set by governments around the world. In this panel discussion, we aim to explore what some of these barriers are and how we can overcome existing constraints as we accelerate the transition toward carbon-free energy generation.
Society is facing impacts from changes in the frequency and availability of two critical, tightly coupled environmental components – fire and water. Fire and associated smoke hazards are a growing problem, with climate science reports regularly noting the increasing frequency and likelihood of such events as the climate warms. Likewise, recent hydrologic droughts have created shocking images of depleted reservoirs and fears of more to come. Elevated temperatures affect trends in snow melt and snowpack, contributing to drought conditions. Increases in fire activity are due, in part, to drought conditions and elevated temperatures, and fire further affects water resources through changes in vegetation and landscape hydrologic response. To manage and adapt to these coupled societal impacts, many U.S. agencies coordinate internally and externally on research, applications, and operations related to the linkages of hydrometeorology, fire and smoke, and their associated feedbacks in our fast-changing environment. This session will bring together representatives from different agencies to discuss how they are responding to the changing fire and water climate, where they see the greatest threats, and the greatest opportunities for scientific cooperation to aid society.
12:00 PM-1:45 PM: Thursday, 1 February 2024
Lunch Break
Location: The Baltimore Convention Center
12:15 PM-1:15 PM: Thursday, 1 February 2024
In 2022, DOE’s Biological and Environmental Research (BER) program announced a new initiative, Urban Integrated Field Laboratories (IFLs), to support multi-institutional team efforts to improve the science underpinning the understanding of climate and environmental predictability across complex and variable urban regions. Four urban IFL projects have been established – with research focusing on the urban regions of Chicago, IL; Baltimore, MD; Beaumont-Port Arthur, TX; and Tucson-Phoenix-Flagstaff, AZ. The urban IFL projects combine field observations, urban modeling, and community engagement to integrate research over three themes: spatial variabilities affecting urban communities; observing and modeling biogeochemical cycling and atmospheric composition in urban systems; and quantifying the benefits of equitable solutions that are applied to heterogeneous urban regions in addressing the climate crisis. This Town Hall will provide an update on BER’s growing portfolio of urban research (https://ess.science.energy.gov/urban-ifls/) and provide time for discussion on how BER seeks to grow and connect the Urban IFL research community.
The NASA Earth Science Flight program is a dynamic undertaking consisting of a large fleet of operating satellites, an array of satellite and instrument projects in development, and a robust airborne science program which augments and advances the use of satellite data. The current fleet of 23 operating missions provides a wide range of scientific measurements obtained from dedicated Earth-observing satellites and the ISS. Projects in development include both directed missions and competitively selected Principal Investigator-led Earth Venture missions. In May 2021, NASA initiated the Earth System Observatory in response to the 2017 Earth Science Decadal Survey, including the competitively selected Earth System Explorers. The Earth Science Flight program benefits from investments by the Earth Science Technology Office (ESTO) to develop and demonstrate cutting-edge technologies that can be applied to future Earth Science measurements and missions.
Support for this Agency Update and Box Lunches have been generously provided by Northrop Grumman Corporation [NGC]
NWS Director Ken Graham will discuss his vision for the future of the NWS. A discussion of key initiatives, priorities, and activities will be provided by leaders across the NWS. Critical mile interactions and work with NWS partners will be highlighted. Come hear important updates and have an opportunity to interact with NWS leadership!
12:15 PM-1:30 PM: Thursday, 1 February 2024
Luncheon 12:15 PM - 1:30 PM. This is a ticketed event. Tickets are $65 and can be purchased through the Annual Meeting registration. To attend this event, add the GATE 50th Anniversary Luncheon ticket to your registration.
12:45 PM-1:05 PM: Thursday, 1 February 2024
The focus of these 15–20-minute briefings will be on near- and short-term weather impacting the Baltimore, MD area, and extreme weather affecting urban or other vulnerable areas across the globe. The briefings will be given by students from the University of Georgia and the NOAA/NWS/Weather Prediction Center (WPC).
1:45 PM-3:00 PM: Thursday, 1 February 2024
Bring leaders from multiple fields of practice together to further the innovation of instrument solutions within meteorology applications, as well as to establish confidence in knowing that accurate data and measurements can lead to quicker, immediate decision-making in communities.
The Global Aviation Space Weather Community relies on a plethora of technologies to safely navigate the National Air Space. Unfortunately, these tools can be unreliable or even unavailable during strong space weather events. Forecasts and advisories/warnings permit the avoidance and mitigation of harmful effects to aircraft, crew, passengers, and onboard technology. To improve the forecasts and advisories being released, measurements need to be made, models must be validated, training should be enhanced, and collaboration with international partners must continue, among other beneficial enhancements. This session will invite presentations regarding increased data collection, improved technologies, advisory adjustments and publications, space weather aviation-focused training, and international carrier perspectives on space weather impacts.
This session seeks presentations focused on other topics in Probability and Statistics not represented in other sessions.
This oral session features abstracts submitted describing the techniques of wind speed estimation that are planned for the ASCE/AMS standard.
This session will focus on promising, new sensor and observing technologies, as well as improvements to current operational systems, that hold great potential to advance mesoscale observing systems and are mission-effective, integrated, adaptable, and affordable. In-situ observations of the planetary boundary layer (PBL) and troposphere, on the mesoscale specifically, serve as critical inputs for operational and research weather models for both the weather and water enterprise. Observing system experiments have shown that enhanced observational density in space and time improves mesoscale forecasts. There is a relative scarcity of high-resolution surface and PBL mesoscale observations, which impedes advancements in prediction skill of high-impact and disruptive weather events. Presentations should focus on emerging, innovative technologies and current technology improvements that hold the potential to improve the accuracy, reliability, spatial coverage, cost effectiveness, deployability, safety, and sustainability of mesoscale observations for eventual use by the operational weather and water enterprise including NOAA, the National Mesonet Program, the private sector, and other government sectors. The scope of this session includes weather- and water-related observations from the surface through the troposphere, with emphasis on the PBL, including in-situ surface, profiling, balloon-borne, radar, and airborne and uncrewed systems technologies. Satellite-based sensors are not included in this scope except to calibrate, validate, or integrate with in-situ observations as a secondary objective. New technologies from the commercial sector and unique observations of opportunity are welcome.
This proposed session topic will focus on new satellite data products and evaluation of those products for usage (operationally and in research).
Millions of people worldwide rely on snow accumulation and melt for water resources. However, assessing the volume of water contained in the snowpack and its spatial and temporal change can be difficult in a changing climate because snowpack is one of the fastest changing variables in hydrologic cycle. Without accurate and timely information about the snowpack, snow-dominant regions are particularly susceptible to flooding or drought, which may have broad reaching societal and economic implications on the security of the region. Accurate estimates of snow water equivalent (SWE), snow covered area (SCA), melt timing, and other properties of snow are critical in accurately predicting runoff response for water resource management and thus aspects of water, agriculture, energy, and societal stability. Remote sensing and modeling techniques provide methods for observing and detecting snow evolution, onset of snowmelt, and spatial extent. Existing and novel remote sensing techniques have been employed to observe snow characteristics. Local and regional snow and hydrologic models have shown the ability to estimate snow properties and snowmelt-driven streamflow. In-situ datasets that drive these models with meteorological inputs and modify the model through data assimilation techniques are critical in accurately portraying snow evolution. A single sensor, field measurement, or model likely cannot accurately represent all types of snow globally; instead, integrative approaches are needed for capturing a complete spatiotemporal understanding of snow conditions and relevant hydrological processes.
This session welcomes research on existing and novel methods of field measurements & campaigns; remote sensing via unpiloted aerial system, airborne, and satellite platforms; physics-based models; and data assimilation/analytics along with machine and deep learning for snow hydrology and relevant extreme events (e.g., floods, drought, and wildfire). Particularly, we encourage submissions that aim to overcome gaps in the current knowledge of snow observation and modeling and/or consider data merging environments for integration of in situ, remote sensing, and model data.
Submitters: Eunsang Cho, NASA GSFC & University of Maryland College Park, Newmarket, NH; Melissa Wrzesien, NASA, Greenbelt, MD; Carrie Vuyovich, Code 617 (HSL), NASA Goddard Space Flight Center, Greenbelt, MD and Elias Deeb, Cold Regions Research and Engineering Laboratory, Fort Wainwright, AK
The Pathfinder project was initiated in 2014 as a pilot project across four western States (California, Nevada, Utah, and Wyoming) to document current State DOT interactions and working relationships with the weather enterprise (both NWS and private sector). The focus was on the I-80 corridor which represents a mix of metropolitan, vulnerable populations/underserved communities and serves as a main commercial trucking route. The team documented best practices across the agencies to disseminate consistent messages about the weather and its impact on the roads, and the way in which the messages proactively prepared travelers to change departure times, cancel trips, choose alternate routes, or select different modes of transportation in response to adverse weather conditions.
Although unintentionally, the initial focus of the Pathfinder Project was on Winter Weather, but the Project also includes mitigating hazardous traveler due to fog, smoke, wildfires, blowing dust, heavy precipitation and strong winds.
There are many examples across the country of highly beneficial partnerships spawned by the Pathfinder Project. Visibility of these efforts will inspire and lead others within the weather enterprise to spread the Pathfinder Project nationwide. Not only new and unparalleled changes have arisen because of climate change, but also new and unparalleled probabilistic messaging has evolved which can better communicate risk to the public and cost/loss modeling to the weather enterprise in the uncertain climate that lies ahead.
This session invites abstracts on projects utilizing explainable artificial intelligence methods in their models and/or post processing applications. We particularly encourage abstracts that describe how the XAI methods impacted the final model development and analysis and/or were utilized with model users in mind.
Although it is widely agreed that climate change is a severe global issue, the high level of uncertainty in global climate models may make it challenging for decision-makers to act with useful information. Making educated decisions requires quantifying the science and uncertainty to assist and advise federal agencies and/or major infrastructure owners (dams, bridges, levees, etc), especially as it relates to extreme precipitation events. Key to making informed decisions is estimating and developing reliable projections of potential changes in excessive precipitation, runoff, snowmelt, and other hydrologic drivers close to dams.
This session is predicated on the hypothesis that by using cutting-edge data science-based approaches, decision-makers may overcome the biases and other shortcomings of global climate model projections and obtain relevant information.
This session intends to provide decision-makers and experts on climate change with methodology and technical advice so they may use the available global climate models to make climate change informed decisions regarding extremes in water resources.
Submitters: David Paul Keeney, Water Resources Engineering and Management, Bureau of Reclamation, Denver, CO; Miles Yaw, Tennessee Valley Authority, Knoxville, TN; Devan Mahadevan, Federal Energy Regulatory Commission, Washington, DC, DC and Kent Walker, Water Resources Engineering and Management, Bureau of Reclamation, Denver, CO
Accurate representation of land surface states is essential to obtaining useful weather, hydrological, and climate model forecasts. However, land surface models are subject to many errors, including from model parameters, mis-specified or missing physical processes, and meteorological forcings or other boundary conditions. These shortcomings can be addressed by land data assimilation, which merges in-situ or satellite-based observations with estimates from land surface models to produce a statistically optimal analysis.
Given on-going land surface model evolution and increasing availability of high-quality observations, land data assimilation has the potential to support Earth System predictions over a wide range of timescales. However, there are still only a limited number of examples of land data assimilation clearly improving forecast skills. This indicates that the community still needs to make considerable progress with coupled and off-line systems.
This session will highlight recent advances in land DA systems including: (i) the use of novel observations; (ii) data assimilation to target novel physical processes (iii) algorithm development; (iv) methodological developments in bias correction and forward operators; (v) incorporation into coupled land-atmosphere systems; and (vi) the use of data assimilation to evaluate and/or improve physical models. In addition, results from the application of LDASs and their impacts on numerical weather prediction, water resources, food security, and ecosystem management, are also strongly encouraged, as well as work involved in transitioning data assimilation from research into operations.
Submitters: Clara R. Draper, NOAA ESRL, Boulder, CO; Sujay V. Kumar, Code 617 (HSL), GSFC, Greenbelt, MD; Andrew Fox, NASA GSFC, Baltimore, MD and Wanshu Nie, Earth and Planetary Sciences, The Johns Hopkins Univ., Hanover, MD
According to the IPCC Sixth Assessment Synthesis Report (2023), achieving net zero CO2 or greenhouse gas (GHG) emissions requires two key actions: (i) substantial and rapid reduction of GHG emissions from all sectors as soon as possible; and (ii) deployment of carbon dioxide removal (CDR) methods to counterbalance hard-to-abate residual emissions from sectors such as agriculture, aviation, shipping, and industrial processes.
To achieve fair and equitable climate solutions, it is crucial to have direct and uniform monitoring, measurement, reporting, and verification (MMRV) of carbon and GHGs based on the best available science. This will enable us to remove or reduce emissions effectively. Furthermore, such direct approaches can inform policies, markets, and innovations that will help address global climate challenges and fairly reward all entities, regardless of their size, for their efforts in carbon reduction and removal.
This session aims to showcase the latest research, practices, and strategies related to carbon removal (CDR) and greenhouse gas (GHG) mitigation, with a focus on monitoring, measurements, reporting, and verification (MMRV). We welcome abstracts on nature-based and/or technological CDR and GHG mitigation research, as well as approaches, societal applications, and governance. Our goal is to facilitate the development of innovative and timely strategies for multi-agency partnerships with the non-federal sector, including foundations, industries, venture capitalists, non-profits, universities, and states. Additionally, we encourage submissions on topics such as the use of in-situ and remote sensing measurements of CO2 fluxes for agricultural or forest carbon sequestration and offsets, as well as monitoring CH4 fluxes for leak quantification from storage systems or for optimization of landfill management.
How can we achieve efficient and effective carbon removal and GHG reduction at a scale that can realistically accelerate the transition toward a carbon-negative future? What steps can this community take to support the development of a robust, scalable, and credible near-real-time carbon and GHG MMRV? These discussions aim to sustain the public discourse on the need for a unified and standardized MMRV framework for GHG mitigation and carbon removal.
The Earth Prediction Innovation Center (EPIC) was created in response to the congressional charge to accelerate the development of the U.S. capacity to make early, accurate, and effectively communicated environmental predictions. It is designed to support, sustain, and foster the collaborative work being done by the participating members of the Unified Forecast System (UFS). EPIC is designed to be the catalyst for community research and modeling advances that continually inform and accelerate advances in our nation’s operational forecast modeling systems. Additionally, EPIC ensures that NOAA’s operational needs and the research and development community are supported by an effective research to operations to research (R2O2R) process resulting in improved numerical weather prediction (NWP) capacity and a more streamlined R2O2R process. EPIC will meet this goal by improving accessibility and usability of the UFS for community members.
This special session on the Earth Prediction Innovation Center to Accelerate Community-Developed Scientific and Technological Enhancements into the Operational Applications for Numerical Weather Prediction, Joint between the Second Symposium on Earth Prediction Innovation and Community Modeling and the 13th Conference on Transition of Research to Operations, is aimed at providing highlights on the accomplishments thus far, and how EPIC is enabling and extending infrastructure and user support for the UFS to fully coupled Earth system prediction, transforming the operational suite of models into one modeling system.
Conveners: Vijay S. Tallapragada, NOAA, and Jose-Henrique G. M. Alves, NOAA/OAR
3:00 PM-3:40 PM: Thursday, 1 February 2024
The contiguous United States has water resource management challenges that are being exacerbated by a changing and growing population, climate change, land-use and landcover change, inadequate or aging infrastructure, and evolving socioeconomic drivers. These changes to water supply and demand dynamics impact policy setting and decision making at different governing and executive levels across the enterprise. To inform adaptive water management policies, best practices, and infrastructure development, advanced water monitoring and forecasting capabilities are needed. The focus of this session is to identify and address observational and modeling gaps in support of continental to global scale water resource monitoring and prediction, with a strong focus on the contiguous USA.
The session aims to bring the observational and modeling communities together to advance the state of the science and our predictive capabilities of water availability. As such, submissions are invited that explore co-design, inter- and transdisciplinary approaches to water cycle science that lead to a better understanding and quantification of water availability now and in the future. Of particular relevance are papers that explore ways to evaluate, improve and integrate existing surface observational networks across regional to continental scales, in the context of terrestrial-based and spaceborne remote sensing, and in support of Earth system modeling of the water-cycle, in order to better support regional, national and global operational weather and hydroclimate monitoring and modelling efforts. For example, approaches including observational verification, parameterization development, data assimilation, observing system design, and employing in situ observations to provide physical process constraints not currently possible/available from satellite observing systems, are welcome. Linking the socio-economic and physical sciences and demonstrating the added-value of new approaches in the context of water policy and operational management applications are also relevant. It is recognized that studies over more limited spatial and temporal scales do lead to an improved characterization of the water cycle at continental to global scales and at time periods encompassing climate, and such papers are also encouraged.
Submitters: Timothy L. Schneider; Sarah A. Tessendorf, NCAR, Boulder, CO and Petrus Oevelen, Atmospheric, Oceanic & Earth Sciences Department, George Mason University, Fairfax, VA
The Arctic is warming much faster than other regions on Earth. Recent amplified Arctic warming has exerted irreversible impacts on pan-Arctic terrestrial hydrology and the ecosystem. Specifically, the Arctic warming has deepened the active layer and caused permafrost to thaw, releasing a large amount of soil carbon into the atmosphere as greenhouse gases (e.g., CO2 and CH4), potentially accelerating climate warming. Meanwhile, the deepened active layer makes nutrients previously locked in permafrost soils available for microbial decomposition and accessible to plants, thus accelerating plant growth and sequestering more carbon from the atmosphere. In addition, permafrost, acting as an impermeable bottom boundary, inhibits downward water flux. Permafrost thaw then changes the lower boundary condition of soil water percolation, increasing subsurface drainage flux and thus altering soil moisture redistribution and water table. On the one hand, the changing water table alters anaerobic conditions and thus the ratio of CO2 to CH4 in total carbon emissions. On the other hand, the changing permafrost hydrology directly impacts the terrestrial lateral transport of water and carbon to the ocean. Thus, quantitatively characterizing water-carbon interactions across scales is critical to understanding the high-latitude water-carbon-climate feedback.
This session seeks contributions on high-latitude water and carbon cycles across spatial scales with various approaches, including modeling, remote sensing, and machine learning techniques. We particularly welcome papers that discuss the hydrological and hydro-biogeochemical impacts of climate warming on high-latitude permafrost regions.
Submitters: Jing Tao, LBNL, Berkeley, CA and Jennifer D. Watts, Woodwell Climate Research Center, Falmouth, MA
3:00 PM-4:30 PM: Thursday, 1 February 2024
The contiguous United States has water resource management challenges that are being exacerbated by a changing and growing population, climate change, land-use and landcover change, inadequate or aging infrastructure, and evolving socioeconomic drivers. These changes to water supply and demand dynamics impact policy setting and decision making at different governing and executive levels across the enterprise. To inform adaptive water management policies, best practices, and infrastructure development, advanced water monitoring and forecasting capabilities are needed. The focus of this session is to identify and address observational and modeling gaps in support of continental to global scale water resource monitoring and prediction, with a strong focus on the contiguous USA.
The session aims to bring the observational and modeling communities together to advance the state of the science and our predictive capabilities of water availability. As such, submissions are invited that explore co-design, inter- and transdisciplinary approaches to water cycle science that lead to a better understanding and quantification of water availability now and in the future. Of particular relevance are papers that explore ways to evaluate, improve and integrate existing surface observational networks across regional to continental scales, in the context of terrestrial-based and spaceborne remote sensing, and in support of Earth system modeling of the water-cycle, in order to better support regional, national and global operational weather and hydroclimate monitoring and modelling efforts. For example, approaches including observational verification, parameterization development, data assimilation, observing system design, and employing in situ observations to provide physical process constraints not currently possible/available from satellite observing systems, are welcome. Linking the socio-economic and physical sciences and demonstrating the added-value of new approaches in the context of water policy and operational management applications are also relevant. It is recognized that studies over more limited spatial and temporal scales do lead to an improved characterization of the water cycle at continental to global scales and at time periods encompassing climate, and such papers are also encouraged.
Submitters: Timothy L. Schneider; Sarah A. Tessendorf, NCAR, Boulder, CO and Petrus Oevelen, Atmospheric, Oceanic & Earth Sciences Department, George Mason University, Fairfax, VA
Posters from all EIPT topic areas.
Advances in all aspects of technology means that new and novel methods of atmospheric measurement are constantly being tested and implemented. The aim of this session is to highlight emerging and innovative observing technologies, including in-situ, airborne-based, balloon-based, and unmanned systems. Also of interest are low-cost sensor solutions and methodologies for effective utilization of such sensors deployed in dense networks. Similarly, the session seeks to highlight new and interesting ways to visualize measurement data.
Mountain ranges worldwide are experiencing unprecedented changes in their hydrology, including timing and amount of water discharge, snowpack, precipitation amount and phase, radiation, aerosols, clouds, and land-cover characteristics. Together and separately, these changes are a result of some combination of atmospheric, surface, and subsurface processes and point to the need to for process studies, observations, and longitudinal and long-term analyses. They also highlight the need for investigations that are vertically integrated from the sub-surface through the atmosphere. Integrated mountainous hydrology requires extending atmospheric science investigations below the surface and conversely extending sub-surface and surface science investigations into the atmosphere.
Submissions are welcome that use observations ranging from the field scale, including the U.S. Department of Energy’s Surface Atmosphere Integrated field Laboratory (SAIL), NOAA’s Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), and/or NSF’s Sublimation of Snow (SOS) campaigns. Submissions are also welcome that use remote sensing to develop deeper scientific understanding and improved modeling of mountainous hydrology and its change, either for short- and medium-term forecasting or long-term projections. The use of vertically-integrated data and methods to gain insights into and make substantial progress on persistent challenges for predicting change in mountainous systems are particularly encouraged.
Submitters: Daniel Feldman, LBNL, Berkeley, CA; Ethan D. Gutmann, NCAR, Boulder, CO and Mimi R. Hughes, ESRL/Physical Sciences Laboratory, NOAA, Boulder, CO
The Arctic is warming much faster than other regions on Earth. Recent amplified Arctic warming has exerted irreversible impacts on pan-Arctic terrestrial hydrology and the ecosystem. Specifically, the Arctic warming has deepened the active layer and caused permafrost to thaw, releasing a large amount of soil carbon into the atmosphere as greenhouse gases (e.g., CO2 and CH4), potentially accelerating climate warming. Meanwhile, the deepened active layer makes nutrients previously locked in permafrost soils available for microbial decomposition and accessible to plants, thus accelerating plant growth and sequestering more carbon from the atmosphere. In addition, permafrost, acting as an impermeable bottom boundary, inhibits downward water flux. Permafrost thaw then changes the lower boundary condition of soil water percolation, increasing subsurface drainage flux and thus altering soil moisture redistribution and water table. On the one hand, the changing water table alters anaerobic conditions and thus the ratio of CO2 to CH4 in total carbon emissions. On the other hand, the changing permafrost hydrology directly impacts the terrestrial lateral transport of water and carbon to the ocean. Thus, quantitatively characterizing water-carbon interactions across scales is critical to understanding the high-latitude water-carbon-climate feedback.
This session seeks contributions on high-latitude water and carbon cycles across spatial scales with various approaches, including modeling, remote sensing, and machine learning techniques. We particularly welcome papers that discuss the hydrological and hydro-biogeochemical impacts of climate warming on high-latitude permafrost regions.
Submitters: Jing Tao, LBNL, Berkeley, CA and Jennifer D. Watts, Woodwell Climate Research Center, Falmouth, MA
This session will focus on promising, new sensor and observing technologies, as well as improvements to current operational systems, that hold great potential to advance mesoscale observing systems and are mission-effective, integrated, adaptable, and affordable. In-situ observations of the planetary boundary layer (PBL) and troposphere, on the mesoscale specifically, serve as critical inputs for operational and research weather models for both the weather and water enterprise. Observing system experiments have shown that enhanced observational density in space and time improves mesoscale forecasts. There is a relative scarcity of high-resolution surface and PBL mesoscale observations, which impedes advancements in prediction skill of high-impact and disruptive weather events. Presentations should focus on emerging, innovative technologies and current technology improvements that hold the potential to improve the accuracy, reliability, spatial coverage, cost effectiveness, deployability, safety, and sustainability of mesoscale observations for eventual use by the operational weather and water enterprise including NOAA, the National Mesonet Program, the private sector, and other government sectors. The scope of this session includes weather- and water-related observations from the surface through the troposphere, with emphasis on the PBL, including in-situ surface, profiling, balloon-borne, radar, and airborne and uncrewed systems technologies. Satellite-based sensors are not included in this scope except to calibrate, validate, or integrate with in-situ observations as a secondary objective. New technologies from the commercial sector and unique observations of opportunity are welcome.
UAS platforms and in-situ and remote sensing capabilities continue to expand as measurement accuracy are validated and improved. Topics to be covered in this session include those that characterize the latest developments in UAS sensing capabilities and results from recent UAS research.
Bring leaders from multiple fields of practice together to further the innovation of instrument solutions within meteorology applications, as well as to establish confidence in knowing that accurate data and measurements can lead to quicker, immediate decision-making in communities.
Accurate representation of land surface states is essential to obtaining useful weather, hydrological, and climate model forecasts. However, land surface models are subject to many errors, including from model parameters, mis-specified or missing physical processes, and meteorological forcings or other boundary conditions. These shortcomings can be addressed by land data assimilation, which merges in-situ or satellite-based observations with estimates from land surface models to produce a statistically optimal analysis.
Given on-going land surface model evolution and increasing availability of high-quality observations, land data assimilation has the potential to support Earth System predictions over a wide range of timescales. However, there are still only a limited number of examples of land data assimilation clearly improving forecast skills. This indicates that the community still needs to make considerable progress with coupled and off-line systems.
This session will highlight recent advances in land DA systems including: (i) the use of novel observations; (ii) data assimilation to target novel physical processes (iii) algorithm development; (iv) methodological developments in bias correction and forward operators; (v) incorporation into coupled land-atmosphere systems; and (vi) the use of data assimilation to evaluate and/or improve physical models. In addition, results from the application of LDASs and their impacts on numerical weather prediction, water resources, food security, and ecosystem management, are also strongly encouraged, as well as work involved in transitioning data assimilation from research into operations.
Submitters: Clara R. Draper, NOAA ESRL, Boulder, CO; Sujay V. Kumar, Code 617 (HSL), GSFC, Greenbelt, MD; Andrew Fox, NASA GSFC, Baltimore, MD and Wanshu Nie, Earth and Planetary Sciences, The Johns Hopkins Univ., Hanover, MD
Posters IV
Location: Hall E (The Baltimore Convention Center)
Millions of people worldwide rely on snow accumulation and melt for water resources. However, assessing the volume of water contained in the snowpack and its spatial and temporal change can be difficult in a changing climate because snowpack is one of the fastest changing variables in hydrologic cycle. Without accurate and timely information about the snowpack, snow-dominant regions are particularly susceptible to flooding or drought, which may have broad reaching societal and economic implications on the security of the region. Accurate estimates of snow water equivalent (SWE), snow covered area (SCA), melt timing, and other properties of snow are critical in accurately predicting runoff response for water resource management and thus aspects of water, agriculture, energy, and societal stability. Remote sensing and modeling techniques provide methods for observing and detecting snow evolution, onset of snowmelt, and spatial extent. Existing and novel remote sensing techniques have been employed to observe snow characteristics. Local and regional snow and hydrologic models have shown the ability to estimate snow properties and snowmelt-driven streamflow. In-situ datasets that drive these models with meteorological inputs and modify the model through data assimilation techniques are critical in accurately portraying snow evolution. A single sensor, field measurement, or model likely cannot accurately represent all types of snow globally; instead, integrative approaches are needed for capturing a complete spatiotemporal understanding of snow conditions and relevant hydrological processes.
This session welcomes research on existing and novel methods of field measurements & campaigns; remote sensing via unpiloted aerial system, airborne, and satellite platforms; physics-based models; and data assimilation/analytics along with machine and deep learning for snow hydrology and relevant extreme events (e.g., floods, drought, and wildfire). Particularly, we encourage submissions that aim to overcome gaps in the current knowledge of snow observation and modeling and/or consider data merging environments for integration of in situ, remote sensing, and model data.
Submitters: Eunsang Cho, NASA GSFC & University of Maryland College Park, Newmarket, NH; Melissa Wrzesien, NASA, Greenbelt, MD; Carrie Vuyovich, Code 617 (HSL), NASA Goddard Space Flight Center, Greenbelt, MD and Elias Deeb, Cold Regions Research and Engineering Laboratory, Fort Wainwright, AK
3:45 PM-5:00 PM: Thursday, 1 February 2024
3:50 PM-4:30 PM: Thursday, 1 February 2024
This e-poster session consists of a variety of topics involving measurements, observations, and instrumentation.
4:30 PM-5:30 PM: Thursday, 1 February 2024
4:30 PM-6:00 PM: Thursday, 1 February 2024
Summary: Much of global economic production is organized around a complex system of interdependent supply chains. Supply chains facilitate the production of everything from computers and cars to lifesaving medicines and food, and support world trade in goods that are worth almost $20 trillion annually. The end to end component of the supply chain starts with agriculture and energy and extends through production, transportation, and deliver of products to the consumer/end user. Over time, these supply chains have been honed to deliver maximum efficiency and speed. But questions about supply-chain risks and resilience are now being raised in the context of acute weather events. As climate change shifts the localized frequency and severity of extreme weather, this alters the risk of global supply-chain disruptions. Special emphasis will be placed on communication of weather/climate risk to the “end user” and the flow of information to the decision-makers. Today’s panel will discuss climate risk from the perspective of supply chain planning and operations.
Advances in all aspects of technology means that new and novel methods of atmospheric measurement are constantly being tested and implemented. The aim of this session is to highlight emerging and innovative observing technologies, including in-situ, airborne-based, balloon-based, and unmanned systems. Also of interest are low-cost sensor solutions and methodologies for effective utilization of such sensors deployed in dense networks. Similarly, the session seeks to highlight new and interesting ways to visualize measurement data.
On April 8, 2024, parts of Mexico, the United States, and Canada will experience a total solar eclipse. Only six months earlier, on October 14, 2023, parts of the U.S., Mexico, and South America will experience an annular ("ring") solar eclipse. On both dates, virtually all of North America –– half a billion people! –– will have at least a partial solar eclipse. Solar eclipses offer a unique experience for both scientists and the public. During the April 2024 total eclipse, the scientific community will have the opportunity to view the inner and middle corona with ground-based and airborne instrumentation as well as to measure the eclipse’s unique disturbances on the ionosphere and thermosphere. The 32 million Americans who live in the path of totality, along with millions more who travel into the path, will enjoy one of the most awesome experiences in all of nature. More Americans watched the August 2017 solar eclipse than tuned in to any previous scientific, athletic, or entertainment event. This session will discuss ongoing results derived from previous eclipses, present planned observations for 2024, and help prepare scientists to engage their communities to view the upcoming solar eclipses safely and to educate a wide audience about the Sun-Earth connection.
Millions of people worldwide rely on snow accumulation and melt for water resources. However, assessing the volume of water contained in the snowpack and its spatial and temporal change can be difficult in a changing climate because snowpack is one of the fastest changing variables in hydrologic cycle. Without accurate and timely information about the snowpack, snow-dominant regions are particularly susceptible to flooding or drought, which may have broad reaching societal and economic implications on the security of the region. Accurate estimates of snow water equivalent (SWE), snow covered area (SCA), melt timing, and other properties of snow are critical in accurately predicting runoff response for water resource management and thus aspects of water, agriculture, energy, and societal stability. Remote sensing and modeling techniques provide methods for observing and detecting snow evolution, onset of snowmelt, and spatial extent. Existing and novel remote sensing techniques have been employed to observe snow characteristics. Local and regional snow and hydrologic models have shown the ability to estimate snow properties and snowmelt-driven streamflow. In-situ datasets that drive these models with meteorological inputs and modify the model through data assimilation techniques are critical in accurately portraying snow evolution. A single sensor, field measurement, or model likely cannot accurately represent all types of snow globally; instead, integrative approaches are needed for capturing a complete spatiotemporal understanding of snow conditions and relevant hydrological processes.
This session welcomes research on existing and novel methods of field measurements & campaigns; remote sensing via unpiloted aerial system, airborne, and satellite platforms; physics-based models; and data assimilation/analytics along with machine and deep learning for snow hydrology and relevant extreme events (e.g., floods, drought, and wildfire). Particularly, we encourage submissions that aim to overcome gaps in the current knowledge of snow observation and modeling and/or consider data merging environments for integration of in situ, remote sensing, and model data.
Submitters: Eunsang Cho, NASA GSFC & University of Maryland College Park, Newmarket, NH; Melissa Wrzesien, NASA, Greenbelt, MD; Carrie Vuyovich, Code 617 (HSL), NASA Goddard Space Flight Center, Greenbelt, MD and Elias Deeb, Cold Regions Research and Engineering Laboratory, Fort Wainwright, AK
Researchers learn how to navigate NOAA’s R2X transition practices, processes, and polices via experience conducting NOAA-funded research, collaborating with operational partners, or transitioning research and development critical to NOAA’s mission (Elliott et al., 2023). However, it is unclear how individuals can gain this experiential knowledge if they have yet to collaborate with NOAA. This problem also raises the question as to whether having prior experience with NOAA R2X may provide an advantage when developing proposals for funding opportunities (DiPrete and Eirich 2006). NOAA aims to increase the number and diversity of researchers submitting competitive proposals for extramural funding and administering productive project awards. NOAA program managers and transition staff have been sharing R2X transition information more broadly, through engagement in outreach opportunities with the NOAA Central Library with NOAA Library Webinars and Fireside Chats. These efforts have received positive feedback and were highly attended, highlighting the broad interest in learning how to effectively transition research deliverables. However, if NOAA program managers and R2X transition staff want to be inclusive of individuals who may lack prior NOAA transition knowledge, more effective outreach and engagement is needed outside of the NOAA community.
The goal of this annual panel session is to share, transfer, and impart important NOAA R2X transition knowledge to individuals in the academic, private, and public sectors. This will be accomplished by featuring insights from NOAA experts in R2X transitions and transition processes. The panelists will discuss a variety of topics, including but not limited to: (1) the basics of NOAA’s R2X transition practices, processes, and policies; (2) NOAA’s readiness levels; (3) advice, tips, and helpful hints for navigating NOAA’s transition plan development process; (4) success stories and best practices for developing effective operational collaborations; and (5) previous experiences and/or guidance for transferring social and physical science knowledge to the agency. This panel session was widely successful at the 2023 AMS Annual Meeting, and we are excited to continue this outreach and engagement opportunity with the broader weather, water, and climate enterprise. Join us as we “throw back the curtain” and share NOAA’s R2X practices, processes, and policies to make research and development opportunities more accessible and equitable for all.
References:
Elliott, Steve, Gina Eosco, Joseph Conran, and Laura Newcomb. “Institutional Values Influence the Design and Evaluation of Transition Knowledge in Funding Proposals at NOAA.” (Accepted). Philosophy of Science.
DiPrete, Thomas A., and Gregory M. Eirich. 2006. “Cumulative Advantage as a Mechanism for Inequality: A Review of Theoretical and Empirical Developments.” Annual Review of Sociology. 32: 271–97.
Although it is widely agreed that climate change is a severe global issue, the high level of uncertainty in global climate models may make it challenging for decision-makers to act with useful information. Making educated decisions requires quantifying the science and uncertainty to assist and advise federal agencies and/or major infrastructure owners (dams, bridges, levees, etc), especially as it relates to extreme precipitation events. Key to making informed decisions is estimating and developing reliable projections of potential changes in excessive precipitation, runoff, snowmelt, and other hydrologic drivers close to dams.
This session is predicated on the hypothesis that by using cutting-edge data science-based approaches, decision-makers may overcome the biases and other shortcomings of global climate model projections and obtain relevant information.
This session intends to provide decision-makers and experts on climate change with methodology and technical advice so they may use the available global climate models to make climate change informed decisions regarding extremes in water resources.
Submitters: David Paul Keeney, Water Resources Engineering and Management, Bureau of Reclamation, Denver, CO; Miles Yaw, Tennessee Valley Authority, Knoxville, TN; Devan Mahadevan, Federal Energy Regulatory Commission, Washington, DC, DC and Kent Walker, Water Resources Engineering and Management, Bureau of Reclamation, Denver, CO
To educate and communicate the increasing risks posed by a changing climate to stakeholders, decision-makers, and the public, there are several methods of engagement that can be used. Firstly, engaging with stakeholders is critical to ensure that they have a deep understanding of the risks and are more likely to take action. This can be achieved through various methods such as consultations, focus groups, and workshops. Secondly, using clear and concise language and providing context is important to help people understand the implications of the risks posed by climate change. Thirdly, using different media and communication channels such as social media, data visualization, storytelling, and immersive experiences can enhance engagement with the information and reach a wider audience. Finally, collaborating with community-based organizations and citizen science projects can also be a successful approach to educate and communicate the risks of climate change to the public. Climate services should work to build trust with the general public by being transparent, honest, and accountable. This can involve acknowledging uncertainties and limitations in the science and being open to feedback and criticism. These methods of engagement can help to ensure that the risks posed by climate change are communicated effectively and reach a wider audience.
Accurate representation of land surface states is essential to obtaining useful weather, hydrological, and climate model forecasts. However, land surface models are subject to many errors, including from model parameters, mis-specified or missing physical processes, and meteorological forcings or other boundary conditions. These shortcomings can be addressed by land data assimilation, which merges in-situ or satellite-based observations with estimates from land surface models to produce a statistically optimal analysis.
Given on-going land surface model evolution and increasing availability of high-quality observations, land data assimilation has the potential to support Earth System predictions over a wide range of timescales. However, there are still only a limited number of examples of land data assimilation clearly improving forecast skills. This indicates that the community still needs to make considerable progress with coupled and off-line systems.
This session will highlight recent advances in land DA systems including: (i) the use of novel observations; (ii) data assimilation to target novel physical processes (iii) algorithm development; (iv) methodological developments in bias correction and forward operators; (v) incorporation into coupled land-atmosphere systems; and (vi) the use of data assimilation to evaluate and/or improve physical models. In addition, results from the application of LDASs and their impacts on numerical weather prediction, water resources, food security, and ecosystem management, are also strongly encouraged, as well as work involved in transitioning data assimilation from research into operations.
Submitters: Clara R. Draper, NOAA ESRL, Boulder, CO; Sujay V. Kumar, Code 617 (HSL), GSFC, Greenbelt, MD; Andrew Fox, NASA GSFC, Baltimore, MD and Wanshu Nie, Earth and Planetary Sciences, The Johns Hopkins Univ., Hanover, MD