The mission of the Joint Center for Satellite Data Assimilation (JCSDA) is to accelerate and improve the impact of research and operational satellite data in numerical environmental analyses and prediction models. The growing number and variety of satellite platforms, sensors, and owners renders this mission to be of ever-increasing importance. For this session contributions are solicited reporting on the results of efforts to assimilate new or novel satellite sensor data into environmental prediction models.
Technical or theoretical ongoing research intended for transition to operations; radar-based studies related to deep convection, dual-polarization applications, wildfire and smoke detection, etc.; theoretical and practical research/algorithms for future radar systems, networks, and architectures (such as phased arrays for eventual operations); topics on use of AI/ML in an operational setting; other innovative radar applications, training, and experience useful for guiding operations.
The Robert E. Horton Lecturer in Hydrology is selected in recognition of a mid-career professional for their contributions towards advancing scientific understanding, research, or operational applications of hydrological/hydrometeorological sciences for societal benefits. The goal of this lectureship is to foster an interchange of ideas across disciplines that span the weather and climate enterprises represented by the AMS. This year, Dr. Jessica D. Lundquist, Professor of Civil and Environmental Engineering, University of Washington, has been selected as the Robert E. Horton Lecturer in Hydrology "for outstanding contributions to mountain hydrology, by significantly closing the gap between basic and applied research to enhance resilience in mountainous regions.
Presentations will provide an overview of achievements associated with EPIC and the UFS community.
Dynamical cores of numerical weather prediction (NWP) models are extremely powerful tools. Rather than completely replacing NWP models with artificial intelligence, another approach is to replace just the physical parameterizations with artificial intelligence. This can achieve dramatic speed-up of model integration, without sacrificing interpretability. This session solicits research topics related to emulating physical parameterizations using artificial intelligence.
The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) is a NASA EVS-3 mission that flew a complementary suite of remote-sensing and in-situ instruments in 3 deployments on the NASA ER-2 and P-3 aircraft to provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution. The P-3, deployed from Wallops Flight Facility (WFF), carried a suite of microphysical probes, flight level meteorological data, and a dropsonde system. The ER-2 (based out of the Southeast US) carried a suite of radars, microwave radiometers, and a lidar. Each deployment covered 6-8 weeks in January and February 2020-2023, sampling a total of 35 storm systems, with 26 flights dedicated to collocated sampling using the 2 aircraft together. IMPACTS is committed to the full and open sharing of scientific data obtained during field campaigns with all users as soon as such data becomes available. All data products are being archived at NASA’s Global Hydrology Resource Center (GHRC) Distributed Active Archive Center (DAAC) so that the community can use the IMPACTS data products for research and mission development work. To this end, we will hold our fourth IMPACTS Data User Workshop in-person at the 105th AMS Annual Meeting. This open data workshop enables our IMPACTS team to present important information to our potential IMPACTS data users to help with analysis of the data.
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.
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) and CAPE-k (Cloud And Precipitation Experiment at kennaook) are encouraged.
In recent years, lightning data have been incorporated more and more into forecasting operations, in both the public and private sectors. This session will focus on the applications of both ground-based and satellite-based lightning datasets to operations, including examining the strengths and weaknesses of different lightning datasets, derivative products developed from them, and what operational users of lightning data still need.
The financial cost of climate-enhanced weather disasters is measured in the billions of dollars every year, but the toll on human health is not far behind in terms of cost, and obviously much more important in terms of human suffering. We are well aware of the human toll that air pollution, extreme heat events, drought, flooding, and wildfires places on society, but adaptive responses and preparation are not always prioritized. Perhaps the most important priority on this front is to enhance resilience, at the global, national, regional, and local level, to reduce the impacts of climate disruptions. Mitigation of the root cause of these impacts (i.e., carbon emissions), is critical, but climate change is already severely impacting society, and resilient responses are critical to “weathering the storm” of climate change. We encourage submissions that improve our understanding of the present and future health impacts of extreme weather events, and also potential solutions to adapting or mitigating such disasters. Submissions are encouraged from highly transdisciplinary fields, including health geography, epidemiology, environmental justice, health policy, disaster modeling, and emergency response. We also welcome studies of a range of extreme weather types, from heat to flooding, and including compound events. Particular areas of focus may include lessons learned from Hurricane Katrina in the 20 years since landfall, and the resilience of the post-Katrina landscape.
This session is for tool developers, maintainers or even evangelists to introduce new tools in the Atmospheric and Oceanographic sciences or give updates on existing tools. Tools must be open source and can use a variety of programing languages including but not limited to Python, Julia, R, Fortran etc.
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, atmospheric 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; (8) novel use of observations to constrain dust modeling; and (9) application of artificial intelligence in dust storm forecast and dust model development.
Plans are underway for future constellations of geostationary satellites both nationally and internationally. In this session we invite abstracts that highlight applications that are anticipated from these new satellite instruments.
Invited presentations from each of the 4 thematic areas highlighting research results, partnerships, and efforts toward R2O: (1) Advancing Water Prediction Systems; (2) Community Water Modeling Development; (3) Innovating Hydroinformatics Solutions; and (4) Designing Forecasts for Community Resilience
Convener: Steve Burian, Director, CIROH, University of Alabama;
Co-chair: David Vallee, Director, Service Innovation and Partnership Division, NOAA/NWS Office of Water Prediction | National Water Center, Norton, MA
Advances in artificial intelligence have allowed for better understanding of both numerical weather forecasting and real-time meteorological situational awareness. This session will focus on how these advances are utilized in aviation, range, and aerospace operations and vehicle design to mitigate risk and increase the safety of flight. Example topics include use of artificial intelligence to improve situational awareness and decision support for aviation applications such as visibility, clouds, icing, and turbulence as well as range and aerospace applications such as evaluating range safety criteria and day of launch support.
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 and weather, including work emphasizing physical processes and climate theory, observations of weather/climate, and numerical modeling studies of past, present, and future African climate/weather.
This session presents ways that researchers and practitioners have conceptualized sharing risk information graphically and the ways the public has perceived these graphics.
Atmospheric aerosols from natural or anthropogenic sources have profound impacts on Earth's radiation budget, hydrological cycle, as well as regional and global climate. However, their radiative forcing in the climate system remains highly uncertain, representing the largest source of uncertainty in climate predictions. Aerosols scatter and absorb solar radiation, resulting in changes to radiative fluxes at the top-of-atmosphere (TOA), at the surface, and within the atmospheric column. Light absorbing aerosols can also modify the atmospheric temperature structure, decrease solar radiation at the surface, and lower surface sensible and latent fluxes, suppressing convection and reducing cloud fraction. Additionally, 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. Due to this complexity, current treatments of aerosol-cloud-radiation interactions remain crude in climate models. This session aims to review the current state of understanding of aerosol-climate interactions from regional to global scale. We invite papers on any related subjects.
Advances in modeling – including progress in AI/ML based models and algorithms – as well as trends in High Performance Computing – including technology trends and market forces – present ongoing challenges to providing HPC support to our community. Likewise, these trends present opportunities and new approaches for providing HPC services. 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, and ECMWF.
This session will focus specifically on advancements in space-based lightning technology and data, as well as plans for the future of space-based lightning detection.
Highlights from AMS award recipients and new Fellows in the field of Aerosol-Cloud-Climate Interactions
This session is for community members to discuss general topics associated with the use of open science programming languages. Topics can include (but are not limited to) visualization, high performance computing, research to operations and large dataset management.
In this Presidential Sessions, several AMS Awardees will speak about aspects of their research and career accomplishments that relate to the theme of the Annual Meeting.
The AMS Board on Societal Impacts has traditionally supported the annual Symposium on Societal Applications: Policy, Research, and Practice, the Symposium on Building a Weather Ready Nation, and the biennial Conference on Weather Warnings and Communication. Over the last several years, the Board has developed additional initiatives to continue building our ever-growing community of scientists, policy-makers, and practitioners. Join the leaders of the Board and the field to discuss how we can continue to support, promote, and grow our community. Bring your ideas for this engaging conversation with anyone interested in the intersection of weather, climate, and society.
The significant 2024 Atlantic Hurricane season devastated communities across the nation with historic flooding, extreme winds, deadly storm surge, and landslides. Fueled by record high sea surface temperatures, Hurricanes Helene and Milton caused historic disasters that will take years to recover from economically, physically and emotionally. This panel discussion starts the dialog of how our Weather, Water, and Climate Enterprise community can work together to address the future needs of our weather, water and climate enterprise to best accomplish the goals of a Weather Ready Nation. From those directly impacted to those who had significant roles through the event, this session just touches the surface of the impacts and identified needs that will be topics of discussion for years to come within our community.
Radars are critical assets to protect the public and the Nation’s economic security. The current Next Generation Weather Radar (NEXRAD) program has been one of the most impactful weather technologies, providing critical information to support the saving of lives and livelihoods for more than 30 years. However, NEXRAD, deployed in the 1990s, has exceeded its original design life putting the Nation at increasing risk of radar outages and gaps in key areas.The Radar Next Program was established to ensure the National Weather Service can continue to deliver and improve upon critical weather data to support the Nation. The program aims to design and deploy the next-generation network of weather radars to ensure continuity of radar data, address current gaps in radar coverage, and enhance performance and capabilities.This town hall is intended to discuss the needs of the future radar solution. Following an update on the progress of Radar Next and the Broad Agency Announcement solicitation, the panel will feature a few radar users from across the weather enterprise to discuss their needs for the next radar system both to protect the public sectors through enhanced Impact-Based Decision Support Services and sectors of the economy that rely on radar data. This town hall will encourage an open dialogue with all participants to better understand what is needed from the future radar solution and how Radar Next intends to meet those needs.
The National Weather Service (NWS) is making a continuing effort to improve the process to develop requirements and implement them into solutions, in terms of models, systems, technologies, and methodologies in order to effectively reflect forecasters’ needs into policies and requirements. The NWS Governance guides us to first develop requirements independently of the developers (but share with them for a validity check in a later stage), and then formally deliver them to the developers after going through the NWS 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 systematically implemented into the solutions, and thus the field's needs are not properly and promptly addressed by the solutions. The Analysis and Forecast Branch (AFS11) within the Analyze, Forecast and Support Office of the NWS 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.
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 Complimentary Box Lunches are sponsored by the Northrop Grumman Corporation [NGC]
By the end of the decade, The NOAA Office of Water Prediction will deliver a new generation of water information and services that will help users prepare for and respond to weather, water, and climate-dependent events. 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 is supporting these activities.Box lunches sponsored by IBSS Corporation, Raytheon (RTX), GAMA-1 Technologies, M2 Strategy, Riverside Technology inc.
NWS Director Ken Graham will provide an update on NWS’ transformation into a more nimble, flexible, and mobile agency that is eye to eye with decision makers. He will be joined by other NWS leaders who will discuss key agency initiatives, priorities, and activities. Come hear important updates and have an opportunity to interact with NWS leadership!
As the Earth faces escalating environmental disruptions, ranging from extreme weather occurrences to enduring stressors like droughts and rising sea levels, the imperative for collective action becomes increasingly urgent. Small businesses at the forefront of weather and climate science are uniquely positioned to drive innovations that foster sustainability and mitigate environmental risks. In alignment with the overarching theme of "Towards a Thriving Planet: Charting the Course Across Scales," this presentation will provide a platform for discussing the pivotal role of entrepreneurs and technology innovation in addressing climate change and weather-related challenges. We will spotlight the NOAA Small Business Innovation Research (SBIR) Program, emphasizing its role as a catalyst for innovation and resilience within the weather, water, and climate communities. With support from federal agencies through programs like SBIR, these enterprises offer novel solutions and technologies that bolster resilience and enhance our capacity to confront climate-related adversities.This forum will serve as a space to exchange insights and share experiences to support the advancement of climate and weather solutions. We will invite representatives from Federal agencies and small businesses to share their experiences and discuss opportunities. We will facilitate a discussion aimed at charting a course toward a world that is resilient in the face of environmental uncertainties and poised for sustainable growth.
As climate services rapidly expand to meet growing societal needs, fundamental questions about quality assurance, accountability, and sector roles remain unresolved. The American Meteorological Society (AMS) Policy Program has initiated a community-wide effort to examine these critical challenges facing the climate enterprise. This town hall will feature a cross-sector panel exploring two key questions: How can we ensure the reliability and trustworthiness of climate products and services in an open market? And what is the optimal balance between public, academic, and private sector responsibilities in delivering climate services? Through structured discussion and audience engagement, we will examine potential frameworks for quality assurance, consider the role of professional certification, and explore whether the traditional weather enterprise model provides an appropriate template for climate services. Join us to contribute your insights on shaping an effective and responsible climate services ecosystem that best serves both national and global needs.
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.
Keynote and Panel on the future of Python and Open Sciences at AMS. Plus the second tools session
What constitutes HPC systems and their bounds are continuing to evolve as new architectures, workflows, and computational strategies become more open and accommodating to HPC use cases. This session will explore traditional and future aspects of this evolution at the system, application, and workflow levels, and how these evolutions are bringing forth innovative use cases for the expanding bounds of modern HPC.
Continued Invited Panelists for Hurricane Helene. Will update with names for the online program ASAP. Many are still in response mode as of Oct 1.
This session highlights advances in the development and applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in hydrological, ecohydrological, 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, ecosystem feedbacks, 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 on a hopeful and thriving planet.
U.S. government and international agencies have a successful history of exploiting Global Navigation Satellite System (GNSS) data for environmental weather observation purposes. More recently, commercial vendors have provided capabilities to utilize GNSS signals for extracting useful environmental information for meteorological observation and forecasting applications. The session will facilitate discussions on how the community is coordinating and developing lessons learned to develop future plans for the use of GNSS-based data to enhance environmental products and services. In this session, representatives across the environmental community will share their latest capability developments and future plans for operational terrestrial environment and space weather applications using GNSS-based data.
This session seeks submissions from developers of techniques advancing Flood Inundation Mapping services and from field offices and NOAA partners who use the services.
David Vallee, Director, Service Innovation and Partnership Division, NOAA/NWS Office of Water Prediction | National Water Center, Norton, MA and
John Pereira, NOAA/NESDIS (Retired)
To understand our changing planet, scientists and researchers often rely on observational datasets that are collected, processed, and released on many platforms worldwide. These datasets are incomplete unless synthesized with the understanding of Earth system science. These data products can be optimally utilized through co-development with stakeholder inputs. Leveraging technologically advanced cyberinfrastructure and visualization platforms is critical to the success of providing accessible Earth system information.
In this session, we would like to showcase initiatives on applicable information systems of Earth system science disciplines. We invite contributions describing various aspects of information systems, including their scientific foundation, organization, technical design, and approaches to stakeholder engagement. Lastly, we invite perspectives from both scientists and stakeholders on general strategies for how best to enable, uptake, and/or use of Earth science information through different methods of production and dissemination.
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.
In line with the AMS 2025 theme, this session will explore how NLP and AI advancements like ChatGPT can transform communication and decision-making processes in the weather and climate sectors. Submissions should focus on applying NLP to enhance understanding and responsiveness to societal needs, particularly in managing weather impacts and improving service delivery. We seek insights into how NLP can aid in personalizing weather services, analyzing social media for public perception, and enhancing the effectiveness of weather communications for better decision support and community resilience.
Areas of interest include:
- Social Media Analysis: Using NLP to assess public perception and impact.
- Strategic Insights from Text Data: Guiding research and policy decisions.
- Chatbots: Enhancing customer service with real-time information delivery.
- Event Analysis: Understanding decision-making processes through NLP.
- Impact-Based Decision Support: Extracting actionable insights for public safety and economic implications.
- Personalized Weather Services: Tailoring updates to specific industries using NLP.
- Analyze needs and supports for product and service development
- Textbased data management and AI readiness
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. The science of precipitation remote sensing, including instrumentation and algorithms, is progressing rapidly, with the aims of providing accurate high-resolution precipitation estimates, improving forecasting at a variety of temporal scales, 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 precipitation data sciences, including improved radar and satellite QPE retrievals 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 hydrometeorological process understanding are also encouraged.
As a science-based services and stewardship organization, the National Oceanic and Atmospheric Administration (NOAA) is committed to fulfilling its mission by continuously enhancing its products and services. While research findings have broad benefits, research value comes from real-world application, specifically when practitioners turn knowledge into action.
To bridge the gap between research and practice, NOAA has developed and refined a suite of policies, processes, and pipelines (e.g., testbeds) to facilitate and monitor research and development. While NOAA has recently made considerable efforts to share information about their transition process through various outreach and engagement opportunities with the weather community, less is known about how other members of the Weather, Water, and Climate Enterprise transition research knowledge to practice within their respective organizations. Therefore, this session aims to bring together various expert groups to foster a deeper understanding of their unique strategies for transitioning research knowledge into their day-to-day operations.
Invited presentations from representatives in NOAA, broadcast meteorology, emergency management, private sector companies, other government agencies, and potentially practitioners from other sectors will provide attendees diverse perspectives on the variety of transition processes. These presentations and a subsequent short panel discussion will offer valuable insights into the unique approaches, challenges, and successes encountered by different stakeholders in moving research knowledge into practical applications within their respective sectors.
By learning from each other's experiences and practices, attendees will have the opportunity to strengthen their own transition processes and obtain insights into how various expert groups transition research to practice. This knowledge exchange not only fosters learning but also aims to equip physical and social science researchers with the skills to develop outputs that seamlessly integrate into practitioner workspaces, ultimately amplifying the impact of research within the Weather, Water, and Climate Enterprise. Don't miss this valuable opportunity to broaden your understanding, and exchange ideas, on transitioning research into professional spaces across diverse sectors in our Weather, Water and Climate community.
Conveners: Castle A. Williamsberg, NOAA, Athens, GA; Wendy M. Sellers, Office of Science & Technology Integration, NWS, Silver Spring, MD; Andrew Peck, Oregon State Univ., Corvallis, OR;
Annette Hollingshead, Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, FL;
Matthew C. Mahalik, NOAA/OAR/Global Systems Laboratory, Boulder, CO and
Wayne MacKenzie, Technology Partnerships Office, NOAA/OAR/TPO, Silver Spring, MD
Urban floods can be flashy and cause widespread damage due to the high concentration of population and poor drainage infra-structure. Among mitigation strategies commonly used are regulatory floodplain mapping, flood monitoring and warning, emergency notification apps, and structural improvements. Advanced flood forecasting, early flood detection, and timely communication of flood threats prior to and during storms are examples of ways in which a flood warning system can help reduce flood risk in urban environments. This topical session is intended to encourage cross-disciplinary collaboration between atmospheric scientists and urban hydrologists to discuss how the flood threat in urban areas can be reduced. Topical presentations are sought in:- Hydrometeorology in urban environments- Flood detection and measurements techniques- Design storms due to changing rainfall intensities- Vulnerability assessment of drainage systems- Integration of flood warning with traffic management- Lessons learned from emergency notifications- Coastal flooding of urban centers- Lessons learned from past flooding events
We also invite case studies and discussions on urban hydrological monitoring systems, particularly their implementation in the City of New Orleans. Topics of interest include the city's Automated Flood Warning System (AFWS), stormwater modeling, and comprehensive planning for enhancements in both green and grey stormwater infrastructure.
This session invites presentations addressing aerosols, natural and anthropogenic, such as aeroallergens/pollen, dust, fly ash, particulate matter (PM) linked to health consequences including asthma cardiovascular health, skin and eye conditions, and the transmission of infectious diseases, including SARS-CoV-2 and influenza. Studies addressing the interactions between aerosol exposures and human health; investigating changes to global aerosol production, variability, tracking, and forecasting; and those involving novel research methods (clinical, laboratory, epidemiological) are encouraged.
Cloud optical and microphysical properties are essential for understanding cloud radiative effects, cloud-aerosol interactions, and dynamical processes that are key to understanding cloud feedbacks in a changing climate. Spaceborne and sub-orbital lidar instruments have been utilized for studying cloud properties for decades, especially optically thin ice clouds below the detection limits of cloud radars and passive cloud sensors. Analysis of new lidar cloud observations, specifically when combined with in situ or other remote sensing observations, are critical to understanding the relationships between the structure and microphysical properties of these clouds, cloud processes that impact radiative properties, and thermodynamic drivers of cloud evolution. Case studies and contributions from spaceborne lidar instruments (CALIPSO, CATS, ICESat-2, and EarthCARE) and recent field campaigns (IMPACTS, OLYMPEX, ACTIVATE, and CPEX-CV) are encouraged.
This session solicits abstracts related to various aspects of the research to operations to research paradigm, particularly as it relates to testbed activities.
Conveners:
Jamey Jacob, Oklahoma State University and
Stephen A. Mango, NOAA/NESDIS/SAE Affiliate and ISS, Inc.
3:00 PM-3:40 PM: Wednesday, 15 January 2025
3:00 PM-4:30 PM: Wednesday, 15 January 2025
Recharge and reconnect during our Coffee Breaks on Monday to Thursday from 10:00AM - 10:45AM and 3:00PM - 4:30PM! Grab a cup of coffee, mingle with peers, and take a moment to refuel between sessions.
Morning Coffee Break: 10:00AM - 10:45AM located in Great Hall Foyer Entrance and Level 200
Afternoon Coffee Break: 3:00PM - 4:30PM located in the Poster Hall
WRN will be hosting a disaster and emergency management networking pod event for all attendees who are involved in emergency management, interested in emergency management, or wish to speak or learn more about emergency management.
Welcome to our networking Lounge!
If you are a first time attendee, student presenter, early career professionals and have questions about internships and/or career opportunities - then this is the lounge for you!
Come meet other professionals, networks and make connections!
Formal Poster Viewing and Coffee Break
Location: Hall C (New Orleans Ernest N. Morial Convention Center)
Sponsored by: Lockheed Martin
Many exciting developments in the field of airborne sciences are occurring, resulting in new instrumentation, methods, and other applications that bring new capabilities to airborne platforms. Field deployable airborne instrumentation includes a wide range of new and emerging technologies from in-situ probes and remote sensors to passive methods. The goal of this session is to highlight these new advancements and bring together instrument developers and scientists to share new and innovative approaches for future field deployments. We invite submissions on the development or application of instrumentation for the measurement of state parameters, cloud microphysics, radiation, trace gases, aerosols, and meteorology. Results from recent airborne field tests or campaigns are also solicited in order to highlight the usage of these instruments.
This session highlights advances in the development and applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in hydrological, ecohydrological, 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, ecosystem feedbacks, 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 on a hopeful and thriving planet.
Submitters: Forrest M. Hoffman, ORNL, Oak Ridge, TN; Sujay V. Kumar, Code 617 (HSL), GSFC, Greenbelt, MD and Elias Massoud, Computational Sciences and Engineering Division, ORNL, Oak Ridge, TN
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 to ones 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; Climate and Ecosystems Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA; Gijs de Boer, Physical Sciences Laboratory, NOAA, Boulder, CO; CIRES, Boulder, CO; Mimi R. Hughes, Physical Sciences Laboratory, NOAA, Boulder, CO; NOAA Physical Sciences Laboratory, Boulder, CO and William Rudisill, Climate and Ecosystem Sciences, LBNL, Berkeley, CA; LBNL, Berkeley, CA
Data gathered from measurements during field projects play a crucial role in comprehending historical, current, and future weather and climate patterns. The information derived from that data frequently provides an initial insight into phenomena that were previously unexplored or misinterpreted. This session will concentrate on the findings of recent field projects that employed diverse observation platforms and methodologies. The discussion will encompass initial results, examination and critique of field project strategies, and progress made after the conclusion of the project.
The capabilities of Unmanned Aerial Systems (UAS) platforms, as well as in-situ and remote sensing capabilities on UAS, are continually evolving as their measurement accuracy is validated and enhanced. This session will cover topics that highlight the most recent advancements in UAS sensing capabilities and findings from recent UAS research. We also encourage submissions from studies that emphasize measurement validations and quality control.
This joint session topic is focused on the integration of additional observational data (i.e. ground-based measurements, remote sensing, UAS, etc) in forecasting and numerical weather prediction (NWP) simulations. Instrumentation advancements have increased capabilities for enhanced observations and the ability for deployment in targeted field campaigns. Recent work has been done to assimilate these additional observations into NWP simulations. This session is to highlight those recent works and aims to share information on the benefits/pitfalls of integrating additional data, impacts to forecasting decisions, and comparisons of simulations with and without additional data.
Land-atmosphere 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 – particularly its impact on atmospheric 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. 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 interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamical, physical, and biogeochemical mechanisms by which land processes (including those associated with anthropogenic factors like large scale agriculture, irrigation, and land-use change) influence the rest of the Earth system on daily 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 interactions from daily 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), and reanalysis for land model development and land-atmosphere interaction studies. We welcome papers addressing any of these topics.
Submitters: Kirsten L. Findell, GFDL, Princeton, NJ; Megan Devlan Fowler, CGD, NCAR, Boulder, CO; Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS and Patricia Lawston Parker, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD
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, (4) the combination of multiple observation platforms, and (5) routine and field campaign based observations of PBL processes and associated land-atmosphere feedback processes over drylands. The session will cover a range of topics, including PBL height and variability, turbulent fluxes of heat, moisture, and momentum, observations in different PBL environments, 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.
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. The science of precipitation remote sensing, including instrumentation and algorithms, is progressing rapidly, with the aims of providing accurate high-resolution precipitation estimates, improving forecasting at a variety of temporal scales, 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 precipitation data sciences, including improved radar and satellite QPE retrievals 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 hydrometeorological process understanding are also encouraged.
Submitters: Janice L. Bytheway, Physical Sciences Laboratory, NOAA, 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
Urban floods can be flashy and cause widespread damage due to the high concentration of population and poor drainage infra-structure. Among mitigation strategies commonly used are regulatory floodplain mapping, flood monitoring and warning, emergency notification apps, and structural improvements. Advanced flood forecasting, early flood detection, and timely communication of flood threats prior to and during storms are examples of ways in which a flood warning system can help reduce flood risk in urban environments. This topical session is intended to encourage cross-disciplinary collaboration between atmospheric scientists and urban hydrologists to discuss how the flood threat in urban areas can be reduced. Topical presentations are sought in:
- Hydrometeorology in urban environments
- Flood detection and measurements techniques
- Design storms due to changing rainfall intensities
- Vulnerability assessment of drainage systems
- Integration of flood warning with traffic management
- Lessons learned from emergency notifications
- Coastal flooding of urban centers
- Lessons learned from past flooding events
We also invite case studies and discussions on urban hydrological monitoring systems, particularly their implementation in the City of New Orleans. Topics of interest include the city's Automated Flood Warning System (AFWS), stormwater modeling, and comprehensive planning for enhancements in both green and grey stormwater infrastructure.
Submitter: Ranjan Samuel Muttiah, PhD, City of Fort Worth, Fort Worth, TX; Transportation & Public Works, Stormwater Management, City of Fort Worth, Fort Worth, TX; Austin Feldbaum, City of New Orleans, Louisiana, Hazard Mitigation Office, New Orleans, LA
This session will honor the wide-reaching impacts of the career of Dr. Mark Cane, who recently turned 80. Dr. Cane’s pioneering scientific work and transformative contributions have not only advanced climate science but have also directly benefited society through improved models, better climate predictions, and the integration of climate and society, both in his research works and through his leadership in launching new educational and research programs. Aligning with the AMS 2025 theme, ‘Towards a Thriving Planet: Charting the Course Across Scales’, Dr. Cane’s work has advanced climate science across timescales, from interannual to paleoclimate, as well as spatial scales, from global to regional to individuals, always directed at research that matters, to the planet and to society.
We welcome contributions that draw from Mark Cane’s legacy and pioneering work in many areas of climate science, including but not limited to dynamical oceanography, coupled interactions across timescales, natural vs. anthropogenic signals in regional climate, the intersection of climate and society, innovative uses of paleoclimate studies, and the role of the tropics, among others. Dr. Cane has always urged colleagues, students, and mentees to find the most meaningful problems that matter to society and the planet. Hence for this session, we encourage participants to reflect on the future of climate science: What are the problems we should be working on?
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 and weather, including work emphasizing physical processes and climate theory, observations of weather/climate, and numerical modeling studies of past, present, and future African climate/weather.
This session on AI for Earth Sciences explores the wide-ranging applications of AI across diverse Earth Science domains that are not covered under other more specific sessions. A broad spectrum of disciplines, such as atmospheric science, geophysics, oceanography and climatology, are within topic. The session seeks contributions that demonstrate how AI can enhance our ability to monitor, model, and manage Earth's systems, thus improving our understanding of natural processes and informing decision-making.
Satellites are extremely valuable for their ability to provide global observations of the Earth System. Artificial intelligence is a powerful tool for processing and analyzing imagery. This session seeks applications of artificial intelligence for utilizing satellite observations. Example topics include: image segmentation, image-to-image translation, quality control, resolution enhancement, data fusion, and other topics that use satellite observations as an input or target variable in artificial intelligence applications.
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 on subseasonal-to-interdecadal and local-to-global scales and change in a warmer climate is critical to advancing understanding and prediction of regional precipitation and water availability.
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 spatiotemporal scales. We encourage submissions from topics such as AR development, driving mechanisms, dynamical and thermodynamical responses, case studies including but not limited to the 2022-2024 wet seasons on the United States west coast, as well as climate change, linkage with multi-scale climate variability and predictability, compound events, and impacts on different components of the Earth system. Uncertainty quantification is encouraged as a part of each topic.
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.
HPC Poster Session
General topics in the Languages of Open Science, posters.
Climate is increasingly becoming a data problem. The compressed climate model output for the sixth Coupled Model Intercomparison Project (CMIP6) is estimated at 18 Peta Bytes, five times the size of the CMIP5 archive. The demand for higher-resolution observation and modeling data intensifies at the city scale, underscoring the need for innovative data analysis techniques.
In response to this big data trend, the emerging field of urban climate informatics is leveraging machine learning (ML) and artificial intelligence (AI) to extract complex patterns and insights from large datasets – insights that might otherwise require expert knowledge and time. ML also speeds up the development of parameterizations in weather and climate models (or their sub-components, e.g., land surface models) by replacing physically-based parameterizations with data-driven neural networks.
With many focus areas, AI and ML are revolutionizing how we approach urban climate research. This session seeks submissions that present novel approaches using AI and MI and examine their potential in various areas including, but not limited to, observational analyses, modelling, process understanding, and urban characterizations.
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 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, hazardous air pollutants, emerging/understudied pollution sources, smoke from wild and prescribed fires, visibility, regional haze, air quality-climate interactions, emissions and trends, and inequities in pollutant exposure and health impacts.
Join us in the main poster hall and speak with presenters on various poster topics in Atmospheric Science Education!
3:50 PM-4:30 PM: Wednesday, 15 January 2025
4:30 PM-6:00 PM: Wednesday, 15 January 2025
This session will focus on recent activities aligned with the Research-to-Operations-to-Research (R2O2R) cycle within the broad domain of space weather. This will include updates on the evolving SWR2O2R program (managed by NASA in consultation with, and on behalf of, NOAA, NSF, and the DAF), the Space Weather Centers of Excellence (SWxC), and other activities aspiring to transform research advancements toward operationally robust capabilities.
Research related to the atmospheric diurnal cycle.
Coastal flood hazards have significant impacts on coastal communities, including harms to commerce, public infrastructure, private citizens, and human health. Coastal flooding is known to be caused by a number of factors, including wind set-up and storm surges, high tides or high lake levels, large waves, sea level rise, and significant hydrologic inflows from streams and rivers. It is known that an integrated, coupled modeling approach is needed for the community to progress to the next generation of total water prediction and forecasting. This session will highlight the advancements in modeling and supporting technologies to meet this challenge.
There are many different meteorological impacts that affect a go/no-go decision. Operators take into account everything from current conditions to forecast models and must understand the caveats such as uncertainty that go along with those measurements. This session will focus on operational topics in aviation, range, and aerospace meteorology
This session is for the sharing of success stories, resources and other information about the developing of educational materials, community building and outreach using the languages of open science.
Urban residents are subject to a range of adverse environmental exposures-- from heat which is exacerbated by urban heat island effects, to air pollution which is enhanced by industrial and other human activities. Much of the attention in understanding the drivers and distribution of environmental exposures and health outcomes to date has been focused on large cities and mega-urban regions or at coarse scales of global analysis. Efforts to mitigate heat and other environmental exposure disparities within communities have, to date, been likewise focused on large cities and mega-urban regions. This session will explore the varying scales of interventions and practices that can be implemented within the range of urban landscapes, with a particular focus on smaller urban systems. Small and medium sized cities (SMSC), home to a diverse and growing segment of the population, face unique barriers and vulnerabilities which may not be fully captured by research at the scale of large cities and mega-urban regions. The session will cover the challenges of understanding and mitigating environmental health impacts within urban climates, particularly in SMSC, with the goal of promoting healthier urban communities.
This session will focus on the novel work done associated with field-based instruction and research in the Atmospheric Science community. Topics will include field campaigns that accompanied recent solar eclipses, chasing significant storms, and how-tos on building your own fieldwork campaigns.
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.
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 on subseasonal-to-interdecadal and local-to-global scales and change in a warmer climate is critical to advancing understanding and prediction of regional precipitation and water availability.
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 spatiotemporal scales. We encourage submissions from topics such as AR development, driving mechanisms, dynamical and thermodynamical responses, case studies including but not limited to the 2022-2024 wet seasons on the United States west coast, as well as climate change, linkage with multi-scale climate variability and predictability, compound events, and impacts on different components of the Earth system. Uncertainty quantification is encouraged as a part of each topic.
Land-atmosphere 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 – particularly its impact on atmospheric 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. 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 interactions from meso-to-circumglobal and subseasonal to decadal scales; (2) the dynamical, physical, and biogeochemical mechanisms by which land processes (including those associated with anthropogenic factors like large scale agriculture, irrigation, and land-use change) influence the rest of the Earth system on daily 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 interactions from daily 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), and reanalysis for land model development and land-atmosphere interaction studies. We welcome papers addressing any of these topics.
This session will honor the wide-reaching impacts of the career of Dr. Mark Cane, who recently turned 80. Dr. Cane’s pioneering scientific work and transformative contributions have not only advanced climate science but have also directly benefited society through improved models, better climate predictions, and the integration of climate and society, both in his research works and through his leadership in launching new educational and research programs. Aligning with the AMS 2025 theme, ‘Towards a Thriving Planet: Charting the Course Across Scales’, Dr. Cane’s work has advanced climate science across timescales, from interannual to paleoclimate, as well as spatial scales, from global to regional to individuals, always directed at research that matters, to the planet and to society.
We welcome contributions that draw from Mark Cane’s legacy and pioneering work in many areas of climate science, including but not limited to dynamical oceanography, coupled interactions across timescales, natural vs. anthropogenic signals in regional climate, the intersection of climate and society, innovative uses of paleoclimate studies, and the role of the tropics, among others. Dr. Cane has always urged colleagues, students, and mentees to find the most meaningful problems that matter to society and the planet. Hence for this session, we encourage participants to reflect on the future of climate science: What are the problems we should be working on?
Research and applications on wildfire forecasting and management have become increasingly critical due to escalating climate change and variability. Wildfires pose severe threats to communities, economies, and ecosystems, resulting in extensive damage and presenting hard challenges for disaster response and resource management. Advanced tools and techniques are essential to improve our ability to predict, mitigate, and manage wildfire risks effectively. However, applications in wildfire forecasting often lack good training datasets, and artificial intelligence can be limited by the lack of interpretability. This session solicits applications of artificial intelligence to address the multi-disciplinary challenges in wildfire forecasting and management. Topics could include, but are not limited to, real-time wildfire forecasting and early warning systems, ignition modelling, monitoring and supression strategies, post-fire impact analysis and recovery, monitoring and sensor integration, etc.
The HIWeather project of the World Weather Research Programme has been successful in promoting an holistic view of the warning chain from observations and forecasts through Impact-Based Warning to communication and response. Key to this has been the building up of an active interdisciplinary community of social and physical scientists working together to better understand what makes an effective warning system. Building on previous work, including in the Weather Ready Nation initiative and in the THORPEX experiment, HIWeather has developed a concept of the warning chain based on partnerships among the many actors producing, delivering and using high impact weather information. This concept has been influential in designing the response to the UN Secretary General's call for Early Warnings for All, as well as in the construction of new and improved warning systems in several countries.
The session will address this topic through a combination of invited and submitted presentations on the implications of HIWeather and other projects for the development of more effective high impact weather warnings.
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, (4) the combination of multiple observation platforms, and (5) routine and field campaign based observations of PBL processes and associated land-atmosphere feedback processes over drylands. The session will cover a range of topics, including PBL height and variability, turbulent fluxes of heat, moisture, and momentum, observations in different PBL environments, 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.
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 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, hazardous air pollutants, emerging/understudied pollution sources, smoke from wild and prescribed fires, visibility, regional haze, air quality-climate interactions, emissions and trends, and inequities in pollutant exposure and health impacts.
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. The science of precipitation remote sensing, including instrumentation and algorithms, is progressing rapidly, with the aims of providing accurate high-resolution precipitation estimates, improving forecasting at a variety of temporal scales, 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 precipitation data sciences, including improved radar and satellite QPE retrievals 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 hydrometeorological process understanding are also encouraged.
Satellite products of atmospheric composition are widely used in air quality research and operational systems. The TROPOspheric Monitoring Instrument (TROPOMI) instrument launched in 2017 provides daily multi-constituent measurements globally at about 5 km2 spatial resolution. The next generation of geostationary satellite constellation for air quality provides retrievals at high spatiotemporal resolution. The Geostationary Environment Monitoring Spectrometer (GEMS) over Asia was launched in 2020 and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission over North America was launched in 2023. Various advancements in air quality research have been made with space-borne remote sensing instruments, including emission estimates, understanding chemical processes, and the development and evaluation of atmospheric chemistry models. In this session, we welcome all discussions about advancing our understanding on air quality and atmospheric composition and chemistry using satellites including but not limited to TROPOMI, GEMS, and TEMPO. Presentations on retrievals, validation, modeling, and applications are all welcomed.
Transitioning research to use, or R2X, is a foundational practice at National Oceanic and Atmospheric Administration (NOAA). Documentation and acceleration of R2X through transition plans is becoming the standard, particularly since being implemented into NOAA policy. In fact, NOAA’s FY22-26 Strategic Plan identifies this as a priority: “ …NOAA will accelerate and facilitate the transition of research and development to operations, applications, commercialization and other uses.” Yet, even with guidance established and thoroughly documented, confusion about transition plans persists, often being perceived as daunting, and sometimes resulting in a challenging process.
This session will showcase R2X practitioners from diverse Laboratories across NOAA’s Office of Oceanic and Atmospheric Research (OAR) that will provide real world examples of impactful research transitions with the aim of highlighting strategies that proved successful for their work, and how they improved their approaches to transition planning going forward.
Examples will span the R2X spectrum to cover a broad range of research such as the assimilation of uncrewed systems (UxS) observations into NOAA weather models, patenting NOAA inventions, and more. Panelists will discuss the different transitions they have encountered, such as operational and commercialization. They will also talk about R&D outputs including software, hardware, products, processes and/or knowledge transfer, how they were documented in transition plans, and the associated benefits with each.
Conveners: Andrew Peck, Annette Hollingshead, Castle Williamsberg, Hanna Odahara, Matthew C. Mahalik, Wayne MacKenzie, Wendy M. Sellers
This session is a 3-way joint session between AI, NWP, and HPC with a Core Science Keynote headliner and multiple traditional papers covering the intersection of these 3 subjects.
Soil moisture is an essential climate that is increasing being incorporated into in-situ networks and satellite platforms due to its value in hydrological (i.e., droughts and floods) and vegetation health (i.e., agricultural production, wildfire risk) monitoring. As soil moisture data becomes more widely available, the challenges associated with monitoring and combining soil moisture datasets will become more apparent. These include disparities in observation depth among in-situ networks and remotely sensed data (surface conditions only), heterogeneity of the soil, and differences in the sensing technology, quality control, and period of record among others. This session is interested in presentations that focus on resolving such challenges as well as useful applications that promote the wider spread adoption and use of soil moisture information.
The largest uncertainty in estimating anthropogenic climate radiative forcing is caused by inaccurate assessment of radiative forcing due to aerosol-radiation and aerosol-cloud interactions. Additionally, our level of scientific understanding (LOSU) for these interactions remained low or very low in all previous Intergovernmental Panel on Climate Change (IPCC) reports. Multiple factors, including observational limitations and equifinality in climate models, have led to these persistent uncertainties in assessing the aerosol radiative forcing from pre-industrial to present times. In this session, we invite novel research work on the application of ground-based, airborne and satellite remote sensing of atmospheric aerosols, in particular, addressing and reducing instrumental uncertainties in observing aerosol characteristics such as aerosol optical depth (AOD), Angstrom exponent, surface albedo, and relevant aerosol products. Key research work dealing with high resolution measurements using ground-based networks such as Aerosol Robotic Network (AERONET) and satellite instruments such as MODerate resolution Imaging Spectrometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), Geostationary Operational Environmental Satellite (GOES) Imager, and Multiangle Imaging Spectro Radiometer (MISR) are solicited for this session. Satellite observations are particularly important, as they offer truly global constraints for climate models and air quality applications. Aerosol-cloud (indirect) and aerosol-radiation (direct) interactions generate intricate feedback processes that affect both meteorological phenomena and aerosol features. Oftentimes, it remains challenging to distinguish between natural aerosol variability (“signal”) and errors in remote sensing (“noise”) arising due to multi-scale (both temporal and spatial) atmospheric dynamics. Innovative approaches to accurately capture the heterogeneities in aerosol regimes across varying surface types, weather, and climate conditions are considered valuable. We welcome research contributions from multiple fields working at the intersection of weather, climate, and remote sensing that propose novel strategies to enhance the quality of aerosol observations and improve aerosol retrieval algorithms and measurements. Contributions that offer new approaches for managing and refining aerosol records for weather forecasting and climate models are also encouraged.
The National Weather Association's (NWA) Research-Operations Nexus (RON) Meetup is an interactive meetup between research and operational meteorologists, modelers, hydrologists, students, social scientists, etc., from the Weather/Water/Climate Enterprise to discuss common interests that can lead to R2O and/or O2R opportunities. The goal is simple: To plant and water the seeds of collaboration between folks from the groups, which we hope will germinate during the meeting week and blossom beyond the conference itself.
There will be ten tables and three rounds of interaction covering a wide variety of topics (Societal Response, Winter Weather, Severe Weather, AI/Machine Learning, High Resolution NWP, Probabilistic Forecasting etc.). A facilitator directs and moderates the discussion at the tables to ensure all perspectives are heard.
The RON Meetup is an event created and operated by the National Weather Association. The name was inspired by the memory of Ron Przybylinski. Ron was a former Science and Operations Officer (SOO) at the National Weather Service Forecast Office in St. Louis, Missouri, and he left the legacy of his unending motivation to interconnect weather operations and research in strong, meaningful, and enduring ways.
The National Weather Association's (NWA) Research-Operations Nexus (RON) Meetup is an interactive meetup between research and operational meteorologists, modelers, hydrologists, students, social scientists, etc., from the Weather/Water/Climate Enterprise to discuss common interests that can lead to R2O and/or O2R opportunities. The goal is simple: To plant and water the seeds of collaboration between folks from the groups, which we hope will germinate during the meeting week and blossom beyond the conference itself.
There will be ten tables and three rounds of interaction covering a wide variety of topics (Societal Response, Winter Weather, Severe Weather, AI/Machine Learning, High Resolution NWP, Probabilistic Forecasting etc.). A facilitator directs and moderates the discussion at the tables to ensure all perspectives are heard.
The RON Meetup is an event created and operated by the National Weather Association. The name was inspired by the memory of Ron Przybylinski. Ron was a former Science and Operations Officer (SOO) at the National Weather Service Forecast Office in St. Louis, Missouri, and he left the legacy of his unending motivation to interconnect weather operations and research in strong, meaningful, and enduring ways.
Hydrometeorological extremes (e.g. droughts, floods, landslides, etc.) have the potential to exacerbate existing social inequalities and vulnerabilities that strongly impact marginalized communities. These communities disproportionately inhabit hazard-prone areas and often have limited access to coping mechanisms, increasing their vulnerability and potentially decreasing their resiliency. It is crucial then for all scientific disciplines to engage with these communities and consider the social dimensions at play in order to improve resiliency and mitigate the potential harms of natural hazards, particularly in the face of intensification of risk due to anthropogenic climate change. Addressing the intersection of hydrology, extremes, and society - particularly centering around the impacts disproportionately placed on marginalized communities - requires reaching beyond any one discipline. In this session, we especially welcome abstracts that take a multi-disciplinary, convergent, and/or community-engaged approach to understand the complex linkages between hydrology, water resources, extreme events, risk analysis, adaptation strategies (including policy tools), and hazard mitigation.
Submitters: Alka Tiwari, Dept of Ag and Bio Engineering, Purdue University, West Lafayette, IN; Megan Devlan Fowler; Mariana Goodall Cains, PhD, NCAR, Boulder, CO and Allysa Rose Dallmann, The Department of Earth and Planetary Sciences
Ships transiting the global oceans carry immense quantities and varieties of bulk, containerized, and liquid cargoes. Specialized vessels such as heavy lift ships, vehicle carriers, containerships, LNG tankers, bulk cargo carriers, and cruise ships all have vessel specific limitations to performance and safety such as wave, wind, and ice conditions. Also MetOcean Data such as wind and current can be used to advantage to reduce transit distance/time (aka fuel). Weather routing for avoidance or minimization of exposure to adverse conditions and route optimization all require an understanding of vessel performance and accurate forecast MetOcean data. In this panel, three experts will discuss the considerations in route planning, vessel limits, specialized data sets via observations, and the application of numerical data to the ship route optimization and safety challenge.
6:00 PM-7:30 PM: Wednesday, 15 January 2025
Sponsored by: ASRC Federal
AMS is pleased to recognize outstanding individuals and organizations of the weather, water, and climate community through its Awards and Honors program. Join us in congratulating the 2025 recipients at a reception in their honor on Wednesday, 15 January at 6:00 p.m., followed by the AMS Awards Ceremony at 6:30 p.m.
7:30 PM-9:30 PM: Wednesday, 15 January 2025
In-person attendees, please join us to relax and catch up with friends old and new after a busy week of sharing science. Hors d'oeuvres and cash bar available.
Thursday, 16 January 2025
7:00 AM-8:00 AM: Thursday, 16 January 2025
NASA's Office of the Chief Science Data Officer (OCSDO) is advancing artificial intelligence (AI) capabilities across all NASA science. At this town hall, the NASA team will discuss the intersection of open science principles and AI to enhance and scale scientific analysis, streamline processes, and foster collaboration across the diverse scientific disciplines. OCSDO recently initiated several activities focused on pioneering new approaches using AI for science. These efforts involve developing AI foundational models, establishing core computational infrastructure capabilities, and providing services essential for supporting AI projects. The town hall will provide an update on these initiatives, showcasing progress made and highlighting their role in NASA Science’s AI priorities. Additionally, it will spotlight strategic partnerships and training/outreach activities, underscoring their significance in the growth of AI capabilities within NASA’s scientific community. Furthermore, the town hall will offer insights into how communities can actively engage with these efforts, fostering a collaborative environment where diverse perspectives can move innovation forward. Attendees are invited to actively engage and contribute to discussions about the opportunities and challenges presented by AI for NASA science.
7:00 AM-7:00 PM: Thursday, 16 January 2025
Meeting room for Maxar Space Systems during AMS 2025. This room will be used to host customer, partner and supplier meetings/discussions.
7:30 AM-3:00 PM: Thursday, 16 January 2025
The AMS Info Desk is your one-stop center for all information! Stop by and let us help you stay informed, connected, and ready to enjoy everything the AMS 105th Annual Meeting has to offer!
Swing by Hall C to pick up your AMS badge and kick off AMS 105th Annual Meeting!
Break Room
Location: 337 (New Orleans Ernest N. Morial Convention Center)
A break room will be located in Room 337 of the New Orleans Ernest N. Morial Convention Center (MCCNO). This room will have a number of board games and welcomes participants to take a break and recharge.
Meditation Room
Location: 240 (New Orleans Ernest N. Morial Convention Center)
A Meditation Room will be located in Room 240 of the New Orleans Ernest. N. Morial Convention Center (MCCNO). This room has low lighting, comfortable seating, rugs, pillows for participants to do yoga, meditate, prayer, and self-reflection. Please limit your use of screens and electronics in this room.
Quiet Room
Location: 241 (New Orleans Ernest N. Morial Convention Center)
A Quiet Room will be located in Room 241 of the New Orleans Ernest N. Morial Convention Center (MCCNO). The Quiet Room will have tables and chairs where folks can quietly work. Please no phone calls or watching videos with audible noises.
7:30 AM-4:00 PM: Thursday, 16 January 2025
Speaker Ready Room
Location: 235 (New Orleans Ernest N. Morial Convention Center)
Sponsored by: ERT, Inc.
The Speaker Ready Room is your backstage hub to upload or preview your flawless presentation! Session chairs can also verify which presenters in their session have uploaded their files. Our dedicated team of staff and student assistants will be there to assist you and answer your questions.
8:00 AM-5:00 PM: Thursday, 16 January 2025
Meeting Room for Amazon Web Services Team
8:30 AM-10:00 AM: Thursday, 16 January 2025
A session to focus on space weather forecast capabilites and the 'pain points' and challenges that face the community.
Proposed Topic description: 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.
Dr. Ira Geer was the Founding Director of the AMS Education Program. He ran it from 1991 - 2008 while continuing as a Senior Education Fellow until his retirement in 2019. Under Ira’s leadership, the Education Program pioneered the use of real-time data in the classroom. Most programs started by Ira throughout the program’s history are still flourishing today with over 23,000 teachers graduating from various programs since they began. He also spearheaded the involvement of hundreds of minority-serving colleges and universities in AMS programs. In addition to supporting teachers, he led the creation of three AMS textbooks on the topics of meteorology, oceanography, and climate science - all of which are still in publication today. Ira brought the values of work ethic (challenging but fun and rewarding work), team collaboration, treating teachers as valued professionals, and a personal touch that are still present today.
Dr. Geer passed away in 2023. This session is to celebrate his impact and legacy on the field of Earth Science education. Talks will include:
- A History of the AMS Education Program from 1991 - 2024.
- Memories of Ira: Anecdotes and stories will be shared by those who knew Ira personally.
- The Future of DataStreme: A description of the new model and future plans of Ira’s signature educational program
- The Future of AMS textbooks: A description of the new model and future plans of the three textbooks started under Ira’s tenure
- Additional talks submitted by the public on topics related to Ira’s tenure at AMS. This includes teacher professional development, introductory course undergraduate education, use of data in the classroom, and more.
We will end with a networking session for educators and staff who have known Ira over the years to reconnect. As part of that, we will start a giant Memorial Card where people can record memories and well wishes - which will be mailed to Ira’s family.
This session highlights probabilistic forecasting topics that build off last year's "What if..." session question. Our What if... presenter from last year, Dr. Sean Ernst, will chair this session and lead discussion afterwards with the submitting authors.
The increasing magnitude and frequency of hydrometeorological extremes are exacerbating global flood risks on an unprecedented scale. Changing human-climate dynamics further presents 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, including hybrid data-model fusion to provide 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, prediction, and forecasting tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, and machine learning) and (2) lessons learned from managing big floods from scientific and societal perspectives. We welcome papers that particularly focus on large-scale flood modeling as well as continental and global-scale hydrologic forecasting systems.
Remote sensing observations that utilize Global Navigation Satellite System (GNSS) signals have been used in geophysical research for decades. GNSS signals are particularly useful for various forms of geophysical research due to its high precision and capability to penetrate clouds and precipitation. As such, the expansion of commercial and government back-bone GNSS observations such as radio occultations (GNSS-RO), GNSS reflections (GNSS-R), and the expanding network of ground stations have received significant investment in past years. These various GNSS observation techniques provide high-quality globally distributed atmospheric retrievals useful in a wide variety of research. Their retrievals also greatly contribute to numerical simulation systems and corresponding data assimilation tools for accurate weather and climate prediction.
This session welcomes submissions including, but not limited to the following topics:
- Neutral atmosphere research topics including planetary boundary layer (PBL), deep convection and heavy precipitation, tropopause (UTLS) thermodynamics, and tropical cyclones using GNSS applications,
- Numerical weather prediction of GNSS remote sensing products for data analysis and data assimilation impacts,
- State-of-the-art atmospheric retrieval algorithm developments including joint retrievals, data fusion, and machine learning/artificial intelligence, and
- GNSS remote sensing technology advancement and novel observing concepts such as polarimetric observations, next generation GNSS observing constellations, and GNSS-R/grazing reflections.
As an active sensing technology, radar observations provide uniquely valuable information about the atmosphere. For example, radar is a primary source of information about severe weather and precipitation. This session seeks contributions related to applications of artificial intelligence to radar data.
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.
Presentations in this section highlight social science methodologies and findings that are relevant to high-impact weather events, hazards, and risk.
The large-scale atmospheric circulation redistributes heat, moisture, and atmospheric tracers around the globe, playing a key role in shaping regional climate and climate change. The large-scale circulation is in return shaped by the interactions of large-scale dynamics with the global energy budget and hydrological cycle and with smaller scale processes such as mesoscale motions and cloud processes. Disentangling the many processes that shape the large-scale circulation and its response to climate change requires a combination of conceptual understanding, hierarchical modeling, and observations.
We welcome observational, modeling, and theoretical studies on the dynamics of large-scale atmospheric circulations such as jet streams, storm tracks (including blocking and atmospheric rivers), stationary waves, monsoons, and tropical overturning circulations. Contributions on the response of these circulations to climate change are particularly encouraged.
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; 6) ARI influences on the atmospheric boundary layer and feedback on air quality; and 7) how aging and chemical interactions impact ARI.
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.
Presentations in this session provide a variety of interdisciplinary research aimed at better understanding societal impacts.
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, (4) the combination of multiple observation platforms, and (5) routine and field campaign based observations of PBL processes and associated land-atmosphere feedback processes over drylands. The session will cover a range of topics, including PBL height and variability, turbulent fluxes of heat, moisture, and momentum, observations in different PBL environments, 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.
NOAA’s Hurricane Forecast Improvement Program (HFIP) was created in 2009 with the vision of organizing the hurricane community to dramatically improve numerical forecast guidance to the National Hurricane Center. Since HFIP’s inception in 2009, model hurricane track and intensity forecast errors were reduced by 50% and 56%, respectively, and intensity errors during Rapidly Intensifying storms were reduced by 47%. The Hurricane Weather Research and Forecasting (HWRF) became world-class (2014).
In 2017, Congress passed the Weather Research and Forecasting Innovation Act including Section 104. Hurricane Forecast Improvement Program, instructing NOAA to maintain a project to improve hurricane forecasting to develop and extend accurate hurricane forecasts and warnings to reduce loss of life, injury, and damage to the economy, with a focus on improving the prediction of rapid intensification and track of hurricanes; improving the forecast and communication of surges from hurricanes; and incorporating risk communication research to create more effective watch and warning products. Under the updated plan, HFIP will continue to address the original goals of further reducing track and intensity forecast errors and extend forecasts out to 7 days, particularly focusing on rapid intensification guidance. In addition, the updated plan extends HFIP’s purview to improving guidance on predicting storm structure and all hurricane hazards (surge, rain, associated severe weather, gusts as well as sustained winds) at actionable lead times for emergency managers (e.g., 72 hours). Improved hazard guidance will derive from dynamical model ensembles enabling probabilistic hazard products and improved track, intensity change, and structure (radii to maximum and 35-knot winds) predictions before formation and throughout the storm’s life cycle. Using social science research, HFIP will design a more effective tropical cyclone product suite to communicate risk better and transition all current tropical hazards products. The Hurricane Analysis and Forecasting System (HAFS) was created to address these goals.
As in the past AMS R2O meetings, we expect 4-5 HFIP sessions (with 30-50 presentations/posters) dealing with numerical modeling, inner-core DA techniques, basic research of modeled TCs, understanding RI of TCs, Ensembles, probabilistic products and risk communication, especially using NOAA models: HWRF, Session Chairs: Sundararaman Gopalakrishnan (NOAA/AOML) and Aaron Poyer (NOAA/NWS)HAFS, GFS, GEFS, etc.
Conveners: Sundararaman Gopalakrishnan (NOAA/AOML) and Aaron Poyer (NOAA/NWS)
The Earth’s water cycle, encompassing processes such as precipitation, evapotranspiration, and runoff, among others, exhibits strong variability and extremes at local, regional, and global scales. These fluctuations lead to both acute and chronic stressors for terrestrial ecosystems and for our society. To navigate towards a thriving planet and a sustainable future, this session calls for submissions on advances in characterizing, understanding, and quantifying the various components of the Earth’s water cycle across different spatiotemporal scales. We especially encourage contributions that address challenges, emerging phenomena, and knowledge gaps related to the water cycle.
Adverse weather conditions have a major impact on the safety and operation of our nation's roads, from low volume rural roads and signalized arterials to interstate highways. Weather affects driver behavior, vehicle performance, pavement friction, and roadway infrastructure. Weather events and their impacts on roads can be viewed as predictable, non-recurring incidents that affect safety, mobility and productivity. Weather affects roadway safety through increased crash risk, as well as exposure to weather-related hazards. Weather impacts roadway mobility by increasing travel time delay, reducing traffic volumes and speeds, increasing speed variance (i.e., a measure of speed uniformity), and decreasing roadway capacity (i.e., maximum rate at which vehicles can travel). Weather events influence productivity by disrupting access to road networks and increasing road operating and maintenance costs.
This session will consist of discussions on road weather technologies, infrastructure, observations, and forecasting. We invite road weather professionals and other practitioners to share best practices and lessons learned from road weather-related management strategies including:
- Road Weather Technologies: systems that include road weather components.
- Road Weather Infrastructure: deployed infrastructure that captures weather/road weather and infrastructure that utilizes road weather (i.e., signal systems).
- Road Weather Observations: weather/road weather observations that are captured from infrastructure and how they are used for operational and maintenance activities.
- Road Weather Forecasting: new innovations and best practices in road weather forecasting.
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 “Towards a Thriving Planet: Charting the Course Across Scales.”
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: Molly Woloszyn, CIRES, Champaign, IL; NOAA/NIDIS, CIRES, Boulder, CO; Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Rachel Maya Robinson, NOAA PSL, CIRES, Boulder, CO
Satellite products of atmospheric composition are widely used in air quality research and operational systems. The TROPOspheric Monitoring Instrument (TROPOMI) instrument launched in 2017 provides daily multi-constituent measurements globally at about 5 km2 spatial resolution. The next generation of geostationary satellite constellation for air quality provides retrievals at high spatiotemporal resolution. The Geostationary Environment Monitoring Spectrometer (GEMS) over Asia was launched in 2020 and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission over North America was launched in 2023. Various advancements in air quality research have been made with space-borne remote sensing instruments, including emission estimates, understanding chemical processes, and the development and evaluation of atmospheric chemistry models. In this session, we welcome all discussions about advancing our understanding on air quality and atmospheric composition and chemistry using satellites including but not limited to TROPOMI, GEMS, and TEMPO. Presentations on retrievals, validation, modeling, and applications are all welcomed.
The Intergovernmental Panel on Climate Change (IPCC) has announced the Special Report on Climate Change and Cities, set for release in early 2027, as the sole special report of the seventh assessment cycle. In response to this timely focus on the nexus of cities and climate change, this session seeks to facilitate the exchange, update, and synthesis of insights derived from innovative research and approaches in this field.
In particular, we encourage submissions on four key areas central to the discussion:
- Two-Way Feedback Between Cities and Regions, and their Climates: Cities play a significant role in shaping their local and regional climates, leading to a dynamic two-way interaction that influences climate extremes and high-impact weather events.
- Compounding and Cascading Climate Hazards: Urban areas face a multitude of weather-related hazards (such as cold and heat waves, storm-related surface, riverine and coastal flooding, and extreme wind events) across various scales. The frequency, intensity and impact of these events are amplified by climate change and compounded/cascade in complex urban systems.
- Transparency of Model Outputs in Future Climate Scenarios: Communicating the uncertainties in global future climate projections, and their propagation to the regional and local scale analyses in cities, is essential for informed decision-making and effective adaptation strategies.
- Improving Actionability of Science for Cities: Enhancing the usability of scientific findings for urban decision-making may require collaborative efforts, such as co-production or engagement initiatives, to tailor scientific advancements to the specific needs of cities. This includes addressing issues such as representing extremes, uncertainty characterization, and coordination among practitioners and scientists.
This session seeks submission within, but not limited to, these areas that explore the contribution of urban climate research to understanding the relationship between cities and climate change. Observational and/or modelling studies focusing on under-represented cities and regions are welcome.
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, Stephen A. Mango, NOAA/NESDIS/SAE Affiliate and ISS, Inc.
Community modeling has emerged as a major strategy for developing and exploiting earth system models. Initiatives such as NOAA’s Earth Prediction Innovation Center strive to foster the development of tools and infrastructure to support and enable community modeling. This session solicits abstracts on innovative computing approaches that will further support both developers and users of community earth system models, including high performance computing, use of AI/ML, exploiting GPUs and other accelerators, software tools, and other new and emerging technologies.
Accurate measurements of trace gasses, such as nitrous oxide, methane, ammonia, and volatile organic compounds (VOCs), are increasingly important for a broad range of research and operation applications ranging from determining the transport and fate of agricultural emissions to predicting the impact of a changing climate. Nonetheless, collecting in-situ measurements of trace gas fluxes via eddy covariance, relaxed eddy accumulation, and other micrometeorological approaches remains challenging. This session will assess the state of the art of trace gas flux measurements by considering both recent advances in instrumentation and post-processing methods and their practical application in the field.
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
Mesoscale organization of shallow and deep convection is a ubiquitous feature of cloud systems with climatic importance for modulating cloud water, precipitation, and top-of-atmosphere and surface radiation. However, our fundamental understanding of what drives pattern formation in clouds and its impact on the strength of cloud feedback and therefore climate sensitivity remains limited. This uncertainty is exacerbated by the potential effects of anthropogenic atmospheric aerosols on modulating cloud organization in conjunction with other meteorological drivers. This session invites observational, theoretical, and numerical modeling studies that expand our understanding of the interactions between cloud organization, meteorology, and aerosol, and their implications for climate. All topics related to shallow cloud organization, deep convective organization (including convective self-aggregation studies), Lagrangian and climatological transitions between shallow cloud organizational structures, and extreme events that are tied to mesoscale convective organization are welcome. We especially welcome innovative perspectives on the role of aerosols in regulating cloud organization, and the reciprocal influence of cloud organization on aerosol-cloud interactions, cloud radiative properties and cloud feedback. We encourage thought-provoking contributions and novel ideas based on satellite observations, large eddy and cloud resolving model simulations, conceptual modeling, theoretical approaches, and recent field campaigns (e.g. ACE-ENA, ACTIVATE, AEROMMA, CAMP2Ex, CAP-MBL, CAPE-k, COMBLE, CSET, EPCAPE/SCILLA, EUREC4A/ATOMIC, MAGIC, ORACLES/CLARIFY/LASIC, OTREC, RELAMPAGO-CACTI, TRACER/ESCAPE).
According to the World Health Organization, more than 99% of the world's population live in areas that exceed their ambient air quality guidelines, despite downward trends in emissions in recent years. Many air quality situations are complex and unique to the region in question, which motivates enhanced measurements through organized air quality field studies in partnership with local air quality management and the research community. This session invites presentations sharing lessons learned during recent field study datasets collected from airborne-, ground-, and satellite-based perspectives to fill knowledge gaps within our understanding of air pollution problems in these regions. Recent field campaigns of interest include, but are not limited to AGES+, ASIA-AQ, TRACER-AQ, and others.
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.
Convener: Trey Flowers, Director, Analysis and Prediction Division, NOAA/NWS/Office of Water Prediction, National Water Center, Tuscaloosa, AL.
Co-Chair: Brian Cosgrove, National Water Model Technical Director, NOAA/NWS/Office of Water Prediction, National Water Center, Tuscaloosa, AL
9:00 AM-12:00 PM: Thursday, 16 January 2025
Stop by the AMS booth in the Exhibit Hall to meet the AMS leadership team! (Monday-Thursday)
10:00 AM-10:45 AM: Thursday, 16 January 2025
Recharge and reconnect during our Coffee Breaks on Monday to Thursday from 10:00AM - 10:45AM! Grab a cup of coffee, mingle with peers, and take a moment to refuel between sessions.
Thursday morning is your last chance to connect with the exhibitors and vendors that make the AMS Annual Meeting Exhibits the best collection of new technology, publications and programs found anywhere. A free continental breakfast will be served—help yourself to coffee and visit that booth you’ve been meaning to investigate!
Meet the Presidents -- All are encouraged to stop by the AMS Booth, number 431, in the Exhibit Hall during the morning coffee breaks that will be held from 10:00-10:45 a.m. Tuesday-Thursday to meet the AMS Presidents.
10:00 AM-2:00 PM: Thursday, 16 January 2025
This invite-only in-person only event will be hosted by the American Meteorological Society (AMS) Committee on Spirituality, Multifaith Outreach and Science (COSMOS).
This event seeks to foster a constructive dialogue between spiritual and faith-based leaders and professionals in the Weather, Water, and Climate (WWC) community (e.g., National Weather Service, Federal Agencies, Academics, and research labs) tailored to the specific environmental issues of Louisiana, New Orleans and surrounding Gulf Coast region. This is an interactive and listening session, whereby spiritual and faith-based leaders can share their community’s unique needs and aspirations regarding weather, water, and climate resilience with the WWC. Key goals are:
- Provide a platform for spiritual and faith-based communities to express their specific needs and aspirations related to weather, water, and climate issues, with a focus on issues relevant to the Louisiana and surrounding Gulf Coast Region.
- Encourage networking and relationship building between spiritual/faith-based leaders and WWC professionals to create opportunities for collaboration on environmental initiatives, funding, and projects.
- Identify ways to streamline the communication of weather and climate resources and tools to spiritual and faith-based communities, ensuring effective dissemination of critical information.
This is an invite-only event, but if you are interested to learn more about the community gathering, please reach out to Carlos Martinez cjm2246@columbia.edu. In addition, the final hour of the event (1-2pm CT) is open to all, as it will be the World Cafe/Exhibit Hall Portion of the Community Gathering.
10:45 AM-12:00 PM: Thursday, 16 January 2025
Accurate measurements of trace gasses, such as nitrous oxide, methane, ammonia, and volatile organic compounds (VOCs), are increasingly important for a broad range of research and operation applications ranging from determining the transport and fate of agricultural emissions to predicting the impact of a changing climate. Nonetheless, collecting in-situ measurements of trace gas fluxes via eddy covariance, relaxed eddy accumulation, and other micrometeorological approaches remains challenging. This session will assess the state of the art of trace gas flux measurements by considering both recent advances in instrumentation and post-processing methods and their practical application in the field.
While Scholarship of Teaching and Learning and Discipline-Based Educational Research work has been done in the area of alternative grading for other STEM disciplines, research on alternative grading practices is a fledgling area of Atmospheric Science Education Research. This session will feature presentations on the implementation, assessment, and impacts of alternative grading practices in atmospheric science curriculum, including, but not limited to standards-based grading, specifications grading, mastery based grading, ungrading, etc.
Research continues to steadily increase within the Weather Enterprise, as well as Aviation, Range, and Aerospace Meteorology. With this research increasingly focused on operational needs, the challenges of managing research, and transitioning the results to operations remains a considerable endeavor in cost and other resources. Especially in this dawning era of “big data” and disruptive new technologies (e.g., UAS). One of the grand challenges for these enterprises is to find which of these meaningful research results are transition-able and the ways and means to transition research results to operations and applications [R2O] using efficient and cost-effective techniques and technologies. Additionally, the often over-looked closing of the circle from Operations to Research (O2R) is crucial in focusing the needs of operational aviation, range, and aerospace users and decision makers back to drive focused research.
The use of GPUs as general purpose accelerators has continued to grow as data center class GPUs become more powerful, easier to access, and include larger available on-board storage to support larger problems. As of the latest Top500 list, 9 out of the top 10 largest supercomputers in the world now heavily depend upon GPUs for a large proportion of their maximum and peak FLOPs. It is therefore prudent that scientists and engineers developing and maintaining HPC applications continue to consider how best to utilize these accelerators and achieve maximum performance on current and future HPC systems.
This session welcomes submissions of all types exploring or currently exploiting the additional power of GPUs for weather, water, and climate applications. Example topics of interest include, but are not limited to, the benefits, drawbacks, and challenges of developing new or porting existing libraries and applications to GPUs, benchmarking new and existing applications across various vendors or generations of GPUs, profiling of applications on GPUs to realize peak performance, the adoption of performance portable frameworks and vendor-agnostic programming methods, new and innovative algorithms best suited for GPU architectures, and educational efforts to promote or expand the use of GPUs among students, faculty, or researchers at a university, laboratory, or company.
A session focusing on Space Weather in the lunar and martian environment. The session will leverage the evolving architecture associated with robotic and human exploration the Moon and Mars.
The increasing magnitude and frequency of hydrometeorological extremes are exacerbating global flood risks on an unprecedented scale. Changing human-climate dynamics further presents 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, including hybrid data-model fusion to provide 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, prediction, and forecasting tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, and machine learning) and (2) lessons learned from managing big floods from scientific and societal perspectives. We welcome papers that particularly focus on large-scale flood modeling as well as continental and global-scale hydrologic forecasting systems.
This session offers perspectives on climate advocacy, citizen science, and environmental law.
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.
Weather (atmospheric conditions) and road weather (pavement conditions) can adversely affect vehicle and driver behavior. With the advent of automated vehicles (AVs), multiple entities have begun research and testing to identify how vehicles and drivers will detect and react to adverse weather and road weather conditions. AVs have sensors and perception systems to detect objects and events in their vicinity. Using this information, fully automated vehicles control the steering, speed, or both to move the vehicle along its selected path. The vehicle’s ability to properly perceive the situation and execute a maneuver can be affected by atmospheric and road weather. As more advanced automated vehicles are deployed, there becomes an even greater need to connect the vehicle and meteorology communities together to make sure solutions are identified for operational and safety activities, long-term planning, and policy making.
This session will consist of discussions on the meteorology needs for operating automated vehicles. We invite the road weather community and automated vehicle specialists to explore use cases on how road weather meteorology can support automated vehicles during adverse weather including:
- Automated Vehicle Testing: results of automated vehicle testing during adverse weather and test track scenarios.
- Meteorology Forecasting and Observations: available technologies and forecasts that can or could support automated vehicles (all levels).
- AMS Automated Vehicles & Meteorology Summit: share key findings and lessons learned from the Summit held Jun 25-27, 2024, in Ann Arbor, MI.
The large-scale atmospheric circulation redistributes heat, moisture, and atmospheric tracers around the globe, playing a key role in shaping regional climate and climate change. The large-scale circulation is in return shaped by the interactions of large-scale dynamics with the global energy budget and hydrological cycle and with smaller scale processes such as mesoscale motions and cloud processes. Disentangling the many processes that shape the large-scale circulation and its response to climate change requires a combination of conceptual understanding, hierarchical modeling, and observations.
We welcome observational, modeling, and theoretical studies on the dynamics of large-scale atmospheric circulations such as jet streams, storm tracks (including blocking and atmospheric rivers), stationary waves, monsoons, and tropical overturning circulations. Contributions on the response of these circulations to climate change are particularly encouraged.
This session welcomes studies of both the macro- and microproperties of tropical ice clouds using in-situ and remote sensing observations as well as high-resolution models. Topics of interest include but are not limited to 1) radiative effects of tropical ice clouds and associated uncertainties and anvil cloud feedbacks on warming; 2) the role of high clouds in driving tropical circulations, both in current-day and future climate; and 3) ice-phase condensate in mesoscale convective systems, tropical cyclogenesis, and other forms of tropical convective organization. We also welcome studies focused on ice cloud outflow in convective tracking data, ice microphysical sensitivities of climate-relevant variables, or analyses from the HAIC-HIWC, ATTREX, StratoClim, or ACCLIP campaigns.
The impacts of extreme meteorological phenomena and climate change are increasingly felt worldwide, affecting countries, regions, communities, and individuals alike. From heat waves to floods, droughts to air quality disturbances, these events pose significant risks to food and water systems, energy availability, infrastructure stability, ecosystems, and human health. And the trajectory suggests more challenges lie ahead. At every level, from local to global, communities are grappling with the urgent need to bolster their resilience against these threats. They require actionable information and tools to navigate an increasingly unpredictable Earth system.
The scientific community plays a crucial role in this endeavor. By harnessing Earth system predictability research, scientists can provide vital insights and resources to empower communities in their resilience-building efforts. Although climate change is a global phenomenon, its impacts manifest locally. Thus, there's a pressing need for robust and localized information to help communities prepare and mitigate the worst consequences of these events.
This session seeks presentations that showcase examples of Earth system predictability research and its application at the community level. For this session we are broadly defining communities as a group of individuals who are connected by a geographical location (city, state, or region), or share a profession or experience related to an Earth system phenomena (e.g., residents who live within the same water basin, county-level emergency managers). Specifically, we invite contributions that highlight one or more of the following areas:
- Application to Communities: Demonstrations of how Earth system predictability research is being utilized to assess and address risks at the local level, such as forecasts of heatwaves, droughts, and air quality disturbances in regions, cities or rural areas.
- Informing Communities: Efforts to translate scientific findings about predictability into robust and accessible information, and resources for communities to better understand and respond to climate challenges.
- Learning from Communities: Research and efforts that begin with and advance understanding of community needs and interests related to Earth system predictability. For example, results from studies or workshops aimed at collecting the perspectives and experiences of a community related to Earth system predictive needs.
- Co-Creating Science with Communities: Collaborative initiatives that engage communities in the research process, fostering mutual learning and enabling effective adaptation and mitigation strategies grounded in scientific understanding of predictability. For example, the presentation of lessons learned or proposed frameworks for effectively engaging in co-creation.
We welcome submissions focused on the outcomes of such research, as well as the process of doing this work. By fostering dialogue and sharing practices that have proven successful in different contexts, this session aims to facilitate the exchange of knowledge and strategies for enhancing community resilience in the face of climate variability and change. Together, we can empower communities to build a more sustainable and resilient future.
This session addresses various aspects of digital twins as an effective technology to enhance our ability to process, monitor, quality-control, consolidate, fuse, and assimilate environment observations. Digital twins have been successfully employed in manufacturing, construction, health care, and many other domains. In this session, we bring a lively discussion on the use of digital twins for Earth Observations to enhance monitoring (“what now”), forecasting (“what next”), and assessments (“what if”). The maturity of digital twins, the validity of integrating digital twins into operational systems, and the prospects of interoperable digital twins will be discussed.
Abstracts are invited in all areas of exploring the digital twins for Earth Observations, including but not limited to:
- The application of digital twins for anomaly detection, data fusion, data assimilation, calibration monitoring and correction, and environmental trends monitoring
- The use of Artificial Intelligence and Machine Learning (AI/ML) in implementing digital twins
- Interoperability of digital twins.
Under the Unified Forecast System (UFS) Research to Operation Project (UFS R2O), a global coupled UFS has been built with six components of the Earth system: the FV3 dynamical core (atmosphere), MOM6 (ocean), CICE6 (sea ice), Noah-MP (land surface), GOCART (aerosols), and WW3 (ocean surface waves). The global coupled UFS is used as the basis for developing the Global Forecast System (GFS v17) for medium-range (deterministic) weather forecast up to 16 days, and the Global Ensemble Forecast System (GEFS v13) for subseasonal forecasts up to 48 days, both of which target to be implemented around FY26.
The congressional appropriation in FY23 instructed NOAA to develop a new Seasonal Forecast System (SFSv1) as a replacement of the more than decade-old Climate Forecast System version 2 (CFSv2). The SFSv1 will build upon and extend the capabilities of the subseasonal Global Ensemble Forecast System (GEFSv13). Accurate SFS prediction requires improved physical descriptions of slowly changing processes on the land, in the oceans, for sea ice, and for atmospheric composition. Data assimilation improvements are also required to improve initial states for the land, ocean and sea ice that provide the long-term memory of the Earth System.
In this session, we seek to foster enhanced collaboration among model developers, users/stakeholders and researchers for the advancement of NOAA’s S2S Applications (GEFS and SFS). We encourage abstracts on all aspects of NOAA’s S2S Applications that includes feedback and requirements of stakeholders/users, scientific advancements in the Earth system components such as MOM6, CICE6, Noah-MP, Atmospheric Compositions, advancements in infrastructure that facilitate R2O and O2R, process-level understanding of model errors, verification and validation metrics, and common errors in North American Multi-Model Ensemble (NMME) forecast systems. Use of AI methods to diagnose model errors and to improve modeling systems are also encouraged.
Conveners: Yan Xue, OSTI, NWS, Silver Spring, MD; NOAA/NWS/Office of Science and Technology Integration, Silver Spring, MD; Avichal Mehra, NWS/NCEP/EMC, NOAA, College Park, MD; Philip Pegion, NOAA/PSL, Boulder, CO and Deepthi Achuthavarier, NWS/OSTI/Modeling Program Division & IBSS Corporation, Silver Spring, MD
Presentations in this session will discuss various aspects of wildland fire research and its societal impacts
The Earth’s water cycle, encompassing processes such as precipitation, evapotranspiration, and runoff, among others, exhibits strong variability and extremes at local, regional, and global scales. These fluctuations lead to both acute and chronic stressors for terrestrial ecosystems and for our society. To navigate towards a thriving planet and a sustainable future, this session calls for submissions on advances in characterizing, understanding, and quantifying the various components of the Earth’s water cycle across different spatiotemporal scales. We especially encourage contributions that address challenges, emerging phenomena, and knowledge gaps related to the water cycle.
Satellite products of atmospheric composition are widely used in air quality research and operational systems. The TROPOspheric Monitoring Instrument (TROPOMI) instrument launched in 2017 provides daily multi-constituent measurements globally at about 5 km2 spatial resolution. The next generation of geostationary satellite constellation for air quality provides retrievals at high spatiotemporal resolution. The Geostationary Environment Monitoring Spectrometer (GEMS) over Asia was launched in 2020 and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission over North America was launched in 2023. Various advancements in air quality research have been made with space-borne remote sensing instruments, including emission estimates, understanding chemical processes, and the development and evaluation of atmospheric chemistry models. In this session, we welcome all discussions about advancing our understanding on air quality and atmospheric composition and chemistry using satellites including but not limited to TROPOMI, GEMS, and TEMPO. Presentations on retrievals, validation, modeling, and applications are all welcomed.
The Intergovernmental Panel on Climate Change (IPCC) has announced the Special Report on Climate Change and Cities, set for release in early 2027, as the sole special report of the seventh assessment cycle. In response to this timely focus on the nexus of cities and climate change, this session seeks to facilitate the exchange, update, and synthesis of insights derived from innovative research and approaches in this field.
In particular, we encourage submissions on four key areas central to the discussion:
- Two-Way Feedback Between Cities and Regions, and their Climates: Cities play a significant role in shaping their local and regional climates, leading to a dynamic two-way interaction that influences climate extremes and high-impact weather events.
- Compounding and Cascading Climate Hazards: Urban areas face a multitude of weather-related hazards (such as cold and heat waves, storm-related surface, riverine and coastal flooding, and extreme wind events) across various scales. The frequency, intensity and impact of these events are amplified by climate change and compounded/cascade in complex urban systems.
- Transparency of Model Outputs in Future Climate Scenarios: Communicating the uncertainties in global future climate projections, and their propagation to the regional and local scale analyses in cities, is essential for informed decision-making and effective adaptation strategies.
- Improving Actionability of Science for Cities: Enhancing the usability of scientific findings for urban decision-making may require collaborative efforts, such as co-production or engagement initiatives, to tailor scientific advancements to the specific needs of cities. This includes addressing issues such as representing extremes, uncertainty characterization, and coordination among practitioners and scientists.
This session seeks submission within, but not limited to, these areas that explore the contribution of urban climate research to understanding the relationship between cities and climate change. Observational and/or modelling studies focusing on under-represented cities and regions are welcome.
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.
Atmospheric aerosols have masked a large but highly uncertain fraction of global warming through their direct effect of scattering incoming solar radiation and indirect effect of serving as cloud condensation nuclei (CCN). The poorly understood interactions between aerosols and clouds are a major uncertainty in the total anthropogenic forcing, which directly translates into a wide range in the projected warming. Therefore, an accurate representation of aerosols and clouds is the foundation of any attempt to predict long-term climate change or to assess the impact of climate intervention technologies.
In this session, we welcome presentations covering all aspects of laboratory experiments, field observations, and modeling research on the chemical and physical processes that govern aerosol and CCN formation and the associated climate impacts. 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 aerosols and CCN; (3) regional and global modeling of preindustrial and present-day aerosol and CCN distributions; (4) model validation and climate assessment for climate intervention technologies (e.g., stratospheric aerosol injection and marine cloud brightening) by studying natural analogs; (5) the role of convective cloud processing (e.g., cloud chemistry, glaciation, and detrainment) in aerosol and CCN formation, and (6) the effect of aerosol morphology and phase state on cloud formation and cloud properties.
Neo-colonial research or neo-colonial science is also described as helicopter research or parachute science. It describes a practice in which researchers visit a location, collect data or samples, travel home to do analyses, and publish results, all without involving local scientists, experts or communities, or having any further communication with them.
“As described by scientists who have been subjected to the practice, it occurs when foreign researchers swoop in, disregard people with on-ground experience and give little to no credit to local collaborators on published works. When the visitors depart, they are likely to take data with them, and perhaps biological samples, as well as career prospects denied to local researchers.“ (Watson, C. 2021)
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.
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. For example, globally 40 % of papers about a specific volcano do not include an author whose affiliation is based in the country where the volcano is located, while 56 % are led by authors not based in the country of the volcano (Lerner et. al, 2023).
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:
- Examples of neocolonialism practices and their impact
- Positive examples of authentic research partnerships
- Changes in research, funding, education & training, science communication, and publishing practices that can address helicopter science
References:
Tackling helicopter research. Nat. Geosci. 15, 597 (2022). https://doi.org/10.1038/s41561-022-01010-4
Lerner, G. A., Williams, G. T., Meredith, E. S., Jenkins, S. F. and Barclay, J. (2023) “How inclusive is volcanology? Insights from global bibliometric analyses”, Volcanica, 6(1), pp. 77–94. doi: 10.30909/vol.06.01.7794.
Watson, C., 2021; Parachute science falls to earth. Nature Index. 13 APRIL 2021
According to the World Health Organization, more than 99% of the world's population live in areas that exceed their ambient air quality guidelines, despite downward trends in emissions in recent years. Many air quality situations are complex and unique to the region in question, which motivates enhanced measurements through organized air quality field studies in partnership with local air quality management and the research community. This session invites presentations sharing lessons learned during recent field study datasets collected from airborne-, ground-, and satellite-based perspectives to fill knowledge gaps within our understanding of air pollution problems in these regions. Recent field campaigns of interest include, but are not limited to AGES+, ASIA-AQ, TRACER-AQ, and others.
Aligned with the main theme of the Annual Meeting, Towards a Thriving Planet, this presidential session will explore how actionable science is connecting environmental studies across the weather, water, and climate enterprise (public, private, and NGO) to help alleviate injustices and engage communities in the process. Local examples will be highlighted by experts in the area as well as community leaders.
This Presidential Session consists of a panel to discuss the impact of fire on society and how charting the course for the advancement of fire science and fire management is needed as we move towards a thriving planet.
12:00 PM-1:45 PM: Thursday, 16 January 2025
12:15 PM-1:15 PM: Thursday, 16 January 2025
Climate change impacts are increasingly evident, necessitating proactive measures at all levels of society and across sectors. It is often at the local (i.e., municipal, community) level where people feel the most immediate effects and where initiatives can be most impactful. The National Oceanic and Atmospheric Administration (NOAA)’s Climate-Ready Nation initiative is responding to the growing demand from communities to tailor climate information and services to help facilitate informed decision-making. The Climate-Ready Nation Initiative reinforces NOAA’s commitment to providing equitable access to climate data, products, and information for our Nation’s communities and decision-makers by centering NOAA’s Equitable Climate Services Action Plan in its implementation. NOAA is committed to providing foundational climate information and knowledge for local decision-making and investing in additional technical assistance and capacity building. This panel will delve into the pivotal role of NOAA and NOAA-funded partners in enabling local adaptation and mitigation measures, fostering resilience, and ensuring that climate services effectively address the unique challenges faced by communities across diverse geographical and socioeconomic contexts. Panelists will explore the significance of providing science-based climate services tailored to local communities, highlighting successful strategies, challenges faced, and opportunities for future work.
FIG Town Hall #3: The Impact of AI Forecasting on the Weather Enterprise
Location: 339 (New Orleans Ernest N. Morial Convention Center)
The Forecast Improvement Group will host its 3rd Panel Session with experts from the AI Weather Forecasting Community and the NWP Community to discuss trends and upcoming changes driven by the rapid adoption of AI Forecasting.
Interagency Coordination for Meteorological Services in an Era of Rapid Technological Advancements
Location: 342 (New Orleans Ernest N. Morial Convention Center)
The Interagency Council for Advancing Meteorological Services (ICAMS) plays a crucial role in coordinating federal efforts for improved weather forecasting. This Town Hall brings together key stakeholders from the Earth system science community focused on developing and delivering effective meteorological services to share updates on ICAMS activities and discuss opportunities provided by technological advancements. The session seeks community input on best ways to integrate diverse technological capabilities, enhance equity of services, and foster a culture of collaboration across agencies with different missions. From using multi-sensors, quantum systems, exaflop computing, and social crowd datasets to employing Artificial Intelligence and Machine Learning (AI/ML), phased array radars, to name a few, the session will look at how collaboration enhances scientific endeavors, promotes resilience, and informs policy. It will explore how effective interagency coordination not only maximizes the impact of technological innovations, but also confronts global climate issues. By bringing together representatives from ICAMS agencies, this session aims to seek input on best practices and strategies that enable effective coordination and improving services. The session's objectives are as follows: (i) Explore the benefits and challenges of interagency collaboration in advancing Earth system and meteorological services.(ii) Discuss how collaboration can leverage rapid technological advancements.(iii) Identify opportunities for streamlined data sharing and improved service delivery.
Monitoring Air Quality over the Global South: A town hall to bring together the science, technical, and public health communities for future GEO missions
Location: 223 (New Orleans Ernest N. Morial Convention Center)
Sponsored by: BAE Systems. Outdoor air pollution is a leading cause of premature fatalities, resulting in more than four million early deaths every year. To make informed decisions about how to effectively address air pollution, high quality global data at a high cadence are critical to understand the pollutants, their evolution over time, and measure the efficacy of mitigations. A global air quality monitoring concept is now becoming a reality, with two satellites on-orbit (TEMPO and GEMS) and one launching later this year (Sentinel-4), in the northern hemisphere. Satellites covering the Middle East/North Africa region, Sub-Saharan Africa, and South America are critical components in building the Southern Hemisphere portion of the Global Network. Partnerships to develop these missions will include satellite development, mission operations control centers, and the respective regional science teams. We invite all those interested in supporting mission development, across all components, regions and phases, to join our global collaboration.
The desired audience of this Town Hall is the AMS Community - open to all, including a mixed audience of stakeholders, users of satellite data, and researchers.The goal of this interactive town hall session aims to disseminate technical instrument specifications, provide mission updates for LEO, GEO, and SWO, and demonstrate how user information impacts mission development. Additionally, we will share our planned FY25 user engagement activities. This town hall will provide a unique opportunity for NESDIS to issue a call to action, inviting the community to engage with our programs. By doing so, we can: 1.) Better understand how satellite information is integrated into their work 2.) Connect with users to learn about existing and future needsnand 3.) Communicate how the AMS community can get involved and participate in FY25 User Engagement events. Moderators: Program Senior Scientists/ or NESDIS UE Lead.Panel: NOAA Satellite Mission Directors and User Engagement Leads' Presentations: Rapid Fire Presentations (5 min) with Open Q&A after each presentation.Thank you to our box lunch sponsors: Riverside Technology, Science & Technology Corporation, and Cadmus Group
The incorporation of Artificial Intelligence has been accelerating advanced research, development, and applications in many disciplines and interdisciplinary fields. This Town Hall will bring together leading representatives from NOAA, NASA, ECMWF, and EUMETSAT to discuss from their institutional perspectives the roles and potential impacts of AI in Environmental Sciences, Weather Forecasting and Climate Monitoring: Past, Present, and Future. One focus will be on the adaptation of emerging principles, practices, and results for Trustworthy AI in the domains of interest - Environmental Sciences, Weather Forecasting, and Climate Monitoring. Support for this Town Hall Meeting and Complimentary Box Lunches is provided by Integrated Systems Solutions [ISS], Science and Technology Corp. [STC], Riverside Technology, Inc. [RTI], Axiom Consultants, Inc. [AXIOM], and HelloGOV [HelloGOV] Organizers:Stephen Mango, NOAA/NESDIS/SAE Affiliate and ISS, Inc.Gary McWilliams, NOAA/NESDIS/JPSS Affiliate and STC, Inc.James Yoe, NOAA/NWS/JCSDARamesh Rangachar, NOAA/NESDIS Affiliate and Aerospace Corp. Jennifer Webster, NOAA/NESDIS/NCEI
The May 8-9, 2024 Space Weather Tabletop Exercise: Gauging our Nation’s Preparedness
Location: 341 (New Orleans Ernest N. Morial Convention Center)
This town hall will feature a moderated panel discussion with government officials on the planning, execution, and findings of the May 2024 Space Weather Table Top Exercise coordinated and hosted by the Johns Hopkins Applied Physics Lab (APL). This exercise – cosponsored by NASA, NOAA, NSF, and FEMA - unfolded over the course of two days and included key stakeholders across dozens of federal, local, and state department and agencies. The TTX focused on a hypothetical scenario involving a series of solar events that drove a range of adverse space weather effects on Earth and in near-Earth space. The TTX scenario incorporated solar and geomagnetic activity that resulted in multiple hazards, including intense radiation exposure to satellite, astronauts, and commercial aviation; radio communications outages and disruptions; loss of functionality or degraded performance of GPS; satellite failures; and local- to regional-scale power outages. The TTX studied a scenario that would hypothetically take place over approximately 8 days of scenario time from late January to early February 2028.
US Federal Agency Coordination of Climate Adaptation Actions: Opportunities for Participation and Collaboration
Location: 224 (New Orleans Ernest N. Morial Convention Center)
Coordinated federal government climate adaptation action is needed to not only protect federal facilities, but to provide U.S. citizens with accurate climate information to inform resilience efforts across the country. The aims of this Town Hall are to share the climate adaptation programs undertaken by U.S. federal agencies and present opportunities for participation and collaboration. The Federal Adaptation and Resilience Group (FARG) of the U.S. Global Change Research Program (USGCRP) will describe the coordination activities now in place to bring together climate adaptation within federal agencies. This Town Hall will focus on four ways that federal agencies are engaging with climate adaptation, a different federal agency presenting on each of the types of engagement: Conducting Research on Adaptation, Providing Data and Tools for Adaptation Decision Makers, Funding Local Adaptation Efforts, and Providing Technical Assistance for Adaptation Planning. Plans for the Sixth National Climate Assessment will be presented, with a focus on climate change data and scenarios. USGCRP, NASA, NOAA, and EPA will present their climate adaptation activities within their agencies and beyond. A lightning round will enable other agencies to give short presentations about their activities. Discussion with the audience will focus on sharing best practices and ways AMS members can be involved.
12:30 PM-4:30 PM: Thursday, 16 January 2025
Sold Out!
Join us for an insightful field trip that delves into the profound impacts of Hurricane Katrina while exploring the rich history of New Orleans. Led by climatologist Barry Keim from the LSU Health Sciences Center, this tour offers a comprehensive look at the city's resilience and recovery.
Tour Highlights:
- Hurricane Katrina's Impact: Visit key sites of major levee breaches and the Lower Ninth Ward to understand the hurricane's devastating effects and the ongoing recovery efforts.
- Historical Sites: Explore the historic site of the Battle of New Orleans and an iconic above-ground cemetery, offering a glimpse into the city's storied past.
- Ecological and Community Visits:
- Mississippi River Diversion Project: Learn about innovative projects aimed at controlling river flow and mitigating flood risks.
- Flood-Prone Communities: Visit areas that have faced multiple flooding and surge events, and discuss the challenges of wetland loss and community resilience.
Tour Details:
- Dates and Times:
- Sunday, January 12, 11:30 AM - 3:30 PM
- Thursday, January 16, 12:30 PM - 4:30 PM
- Pick-up and Drop-off: Hilton New Orleans Riverside, Breezeway Entrance
- Cost: $49 per ticket
- Registration: Tickets can be added during the registration for the 105th Annual Meeting.
This tour not only provides a detailed understanding of Hurricane Katrina's impact but also offers a broader perspective on New Orleans's cultural and environmental heritage. Secure your spot and enrich your experience at the 105th Annual Meeting.
Please Note: Lunch is not provided and there will be multiple stops where participants will get off/on the bus, including a stop at Starbucks.
12:45 PM-1:05 PM: Thursday, 16 January 2025
Daily Weather Briefings
Location: 229 (New Orleans Ernest N. Morial Convention Center)
The focus of these 15–20-minute briefings will be on near- and short-term weather impacting the New Orleans, LA area, and extreme weather affecting urban or other vulnerable areas across the globe. The briefings will be given by students from Louisiana State University (LSU) and the University of Louisiana Monroe (ULM)
1:45 PM-3:00 PM: Thursday, 16 January 2025
This session is structured to showcase new sensors, observation methods, and data application related to mesonet and micronet systems. Advancements include broadening sensing capabilities to support health monitoring (such as heat index), vertical profiling abilities, snow water equivalent (SWE) measurements, and other distinctive sensing techniques. The primary objective of this session is to emphasize innovative products from both new and established network systems.
A general session to consider modeling activities across the space weather enterprise. Talks will focus on existing and new efforts with an emphasis on ML/AI, Ensembles, Data Assimilation, and Uncertainty Quantification.
Many application codes running on high performance computing platforms are characterized by their high resource use (nodes, storage, I/O) and their often long run-times. This resource usage leads to high cost, especially when those resources are based in the cloud. Therefore it is important to use the resources efficiently - both to reduce costs and to deliver timely results. Also, application performance is dependent on effective selection and configuration of HPC platforms that suit the application. All of these considerations make it important to have tools and techniques to measure and analyze performance of HPC applications and platforms. This session invites papers on all aspects of this topic, including benchmark suites, tools for performance analysis, performance analysis and benchmarking case studies, and use of these tools and techniques to select HPC platforms and to optimize applications.
In the transportation sector, adverse weather and road weather events pose a significant impact to the safety of the traveling public and affects the productivity and economic stability to commerce. Adverse weather and road weather events include, but are not limited to, flooding, high winds, low visibility, freezing rain, snowstorms, tornadoes, tropical storms, and hurricanes. To support managing the transportation system, decision support systems are being researched, piloted, and used operationally in transportation agencies or by their consultants/vendors. With these decision support systems, research continues as new technologies are added to the systems. The research activities are conducted by Federal agencies (i.e., Federal Highway Administration, National Weather Service), transportation agencies, academia, non-profits, private sector, etc.
This session will consist of discussions on decision support systems that support road weather management activities. We invite road weather professionals and decision support system owners/users to share best practices and lessons learned from road weather-related management strategies that use the systems.
Beneficial fire has a long-standing history of use as a land management tool with the intended aim of mitigating wildfires. Fire suppression in the 20th century in addition to the added influence of climate change has created a national wildfire crisis. Reintroducing fire to the landscape via prescribed or controlled burns and expanding the use of prescribed fires in ecosystems where it is already prevalent has been identified as a wildfire mitigation strategy. Weather, fuels, and topography make up the three components of the wildland fire triangle. Weather is the most dynamic of the three components. When making decisions to apply fire to the landscape in prescribed fires, the need for sound scientific information for land managers is at a premium. This session serves as a space to disseminate research and technologies on prescribed fire weather and associated smoke effects.
Global warming features considerable spatial variations over both ocean and land. The observed global warming pattern could originate from, for example, spatially varying radiative forcing (e.g., short-lived aerosols), local coupled feedbacks (e.g., ocean- or land-atmosphere interactions), and internal climate variability (e.g., Atlantic/Pacific multidecadal variability). Understanding how the warming pattern forms is critical for determining Earth’s climate sensitivity and for the projection of regional climate change. In this session, we welcome submissions on both the physical processes that drive the formation of global warming pattern and the climate impacts that result from the global warming pattern.
Radar systems serve as vital tools for monitoring and forecasting precipitation, providing invaluable data for various applications such as weather prediction, hydrology, and climate research. Moreover, dual-polarization weather radar technology has revolutionized our ability to observe and understand precipitation microphysics, severe weather phenomena, and atmospheric processes. This session aims to explore recent advancements, applications, and challenges in the utilization of dual-polarization algorithms and machine learning techniques in weather radar applications. Topics of interest include, but are not limited to, dual-polarization techniques and associated data sciences to enhance precipitation estimation (QPE) accuracy, especially in complex terrains, precipitation-type classification and hydrometeor identification, detection and characterization of severe weather phenomena, data fusion from multi-frequency radar observations across different platforms to enhance microphysical retrievals, with emphasis on modern machine learning techniques and AI. Assimilation of polarimetric radar data into numerical weather prediction models and applications of radar QPE in hydrological modeling and flood forecasting are also encouraged. Through presentations and discussions, this session aims to provide a comprehensive overview of recent advances in weather radar applications, fostering collaboration and knowledge exchange among researchers, practitioners, and graduate students interested in this rapidly evolving field.
The impacts of extreme meteorological phenomena and climate change are increasingly felt worldwide, affecting countries, regions, communities, and individuals alike. From heat waves to floods, droughts to air quality disturbances, these events pose significant risks to food and water systems, energy availability, infrastructure stability, ecosystems, and human health. And the trajectory suggests more challenges lie ahead. At every level, from local to global, communities are grappling with the urgent need to bolster their resilience against these threats. They require actionable information and tools to navigate an increasingly unpredictable Earth system.
The scientific community plays a crucial role in this endeavor. By harnessing Earth system predictability research, scientists can provide vital insights and resources to empower communities in their resilience-building efforts. Although climate change is a global phenomenon, its impacts manifest locally. Thus, there's a pressing need for robust and localized information to help communities prepare and mitigate the worst consequences of these events.
This session seeks presentations that showcase examples of Earth system predictability research and its application at the community level. For this session we are broadly defining communities as a group of individuals who are connected by a geographical location (city, state, or region), or share a profession or experience related to an Earth system phenomena (e.g., residents who live within the same water basin, county-level emergency managers). Specifically, we invite contributions that highlight one or more of the following areas:
- Application to Communities: Demonstrations of how Earth system predictability research is being utilized to assess and address risks at the local level, such as forecasts of heatwaves, droughts, and air quality disturbances in regions, cities or rural areas.
- Informing Communities: Efforts to translate scientific findings about predictability into robust and accessible information, and resources for communities to better understand and respond to climate challenges.
- Learning from Communities: Research and efforts that begin with and advance understanding of community needs and interests related to Earth system predictability. For example, results from studies or workshops aimed at collecting the perspectives and experiences of a community related to Earth system predictive needs.
- Co-Creating Science with Communities: Collaborative initiatives that engage communities in the research process, fostering mutual learning and enabling effective adaptation and mitigation strategies grounded in scientific understanding of predictability. For example, the presentation of lessons learned or proposed frameworks for effectively engaging in co-creation.
We welcome submissions focused on the outcomes of such research, as well as the process of doing this work. By fostering dialogue and sharing practices that have proven successful in different contexts, this session aims to facilitate the exchange of knowledge and strategies for enhancing community resilience in the face of climate variability and change. Together, we can empower communities to build a more sustainable and resilient future.
This session calls for research and papers on the role of climate change informed decision making in the water resources community. Papers discussing methods to reduce uncertainty in the estimation and forecasting of potential changes in heavy precipitation, runoff, snowmelt, and other hydrologic drivers near dams are especially encouraged. The goal of this session is to give climate change experts and decision-makers technical guidance and methodology so they may use the current global climate models to make well-informed decisions about water resources across various temporal and spatial scales.
This panel looks ahead to the next 10 years of efforts to integrate social, behavioral, and economic sciences into the Weather, Water, Climate Enterprise. Panelists will share a brief vision of the future for this “societal applications” community. Audience members are encouraged to ask creative, thought-provoking questions about where the community needs to grow to strengthen our role in the Weather, Water, Climate Enterprise.
A developing GEWEX Regional Hydroclimate Project, Humans and Hydroclimate in the United States (H
2US
), is bringing the observational, modeling, and social science communities together to advance the state of the science and our predictive capabilities to better characterize the water, energy, and carbon cycles. Submissions are invited that explore a convergent approach to address these challenges, through co-design, and inter- and transdisciplinary approaches to water cycle science for a better understanding and quantification of water availability and sustainability now and in the future. Especially relevant 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, to support of Earth system modeling of the water-cycle, and regional, national and global operational weather and hydroclimate monitoring and modelling efforts. The session discussion can contribute to a ‘Digital Earth’ representation of the water cycle over the US.
Submitters: Timothy L. Schneider; Sarah A. Tessendorf, NCAR, Boulder, CO and Peter Van Oevelen, GEWEX, George Mason University, Fairfax, VA
The large-scale atmospheric circulation redistributes heat, moisture, and atmospheric tracers around the globe, playing a key role in shaping regional climate and climate change. The large-scale circulation is in return shaped by the interactions of large-scale dynamics with the global energy budget and hydrological cycle and with smaller scale processes such as mesoscale motions and cloud processes. Disentangling the many processes that shape the large-scale circulation and its response to climate change requires a combination of conceptual understanding, hierarchical modeling, and observations.
We welcome observational, modeling, and theoretical studies on the dynamics of large-scale atmospheric circulations such as jet streams, storm tracks (including blocking and atmospheric rivers), stationary waves, monsoons, and tropical overturning circulations. Contributions on the response of these circulations to climate change are particularly encouraged.
Community members engaged in research projects on environmental and climate justice projects will present practices that have yielded a strong collaboration to engage community in addressing environmental issues. How can practitioners and decision makers work alongside community to increase knowledge and awareness of environmental issues. What skills and practices are necessary for strong community collaboration that yield community action for change. This session will bring together community, academics, and practitioners to discuss ways to ensure community is centered in climate change/justice activities and meeting needs through policy and practice.
The session will include community members presenting with academic partners and providing tips on successful partnerships and engagement efforts.
This session invites abstracts on lightning data analyses that investigate clouds that aren't actively producing lightning, but could become a triggered lightning hazard when an aviation, range, or aerospace vehicle passes through the cloud. Analyses that explore cloud electrification within benign looking clouds or clouds with no elevated surface electric fields are of interest, in particular stratiform clouds and thick cloud layers. Also of interest is the dispersion of electrical charges between physically connected clouds and the potential hazard that a cloud which is actively producing lightning, or contains characteristics that would suggest the cloud is electrified, has on non-electrified clouds that are miles to hundreds of miles away. This could include cumulus clouds that are embedded in a broad cloud shield or a smoke plume from an active fire that is embedded within a marine layer. Analyses of lightning data, electric fields, and radar in varying types of active and inactive clouds may expose key relationships about cloud charging mechanisms that can be applied to an operational setting in order to provide more availability for flight, while maintaining safety to the vehicle, payload, and public.
How clouds and aerosols interact with atmospheric radiation depends on their macro and microphysical properties, which are crucial for understanding their impacts on weather, climate, and air quality. The picture is complicated by the fact that aerosols serve as condensation nuclei for water droplets and ice crystals, and hence affect the cloud life-time, brightness, and precipitation efficiency in non-linear ways. Recent advances in polarimetric remote sensing and in situ instruments provide valuable information on the size, shape, composition, and optical properties of these particles at unprecedented temporal and spatial scales. On top of that, multiple US and international missions are planned in the coming years for detailed polarimetric measurements from space. These advances contribute to broaden our understanding of the complex interactions between aerosols, clouds, and radiation. This session invites presentations that report on the latest advances on passive and active polarimetric measurements from satellites, airplanes, or ground-based instruments. These include but are not limited to: (1) development of new instruments and concepts; (2) reports from past and future field-campaigns; (3) new retrieval techniques and algorithms, including combination of polarimetric and other types of measurements; and (4) studies of clouds, aerosols, or their interactions though these new and rich polarimetric approaches.
Being a very important topic as AI methods and models begin to integrate more and more into the environmental science community and projects, this panel will help chart forward good practices and paths in AI science by providing their expertise and experience in their own projects and practice. We invite the audience to bring questions and/or concerns about AI development or applications as the field continues to progress at an exponential pace. Topics to be covered by panelists might include:
- when to use what type of AI methods
- explainable AI
- social science components of AI and/or AI in the public eye
- cautionary tales of poorly designed AI models
- biases in AI datasets
3:00 PM-3:40 PM: Thursday, 16 January 2025
3:00 PM-4:30 PM: Thursday, 16 January 2025
Coffee Break
Location: Hall B (New Orleans Ernest N. Morial Convention Center)
Recharge and reconnect during our Coffee Breaks on Monday to Thursday from 10:00AM - 10:45AM! Grab a cup of coffee, mingle with peers, and take a moment to refuel between sessions.
Formal Poster Viewing and Coffee Break
Location: Hall C (New Orleans Ernest N. Morial Convention Center)
Sponsored by: Lockheed Martin
Deep learning has transformed meteorology by greatly improving the accuracy, resolution, and reliability of weather forecasts. This session provides a platform to discuss recent advances in deep learning methods for weather forecasting, focusing on innovations in prediction accuracy, downscaling, bias correction, integration with traditional numerical models, and cutting-edge applications. It will also explore emerging trends in deep learning techniques for weather forecasting. Discussion topics include, but are not limited to:
- Deep Learning Models for Weather Forecasting: Advances in deep learning models that improve forecast accuracy and reliability, including novel architectures, data assimilation, probabilistic forecasts, and data-driven and hybrid models.
- Downscaling Methods: Deep learning-based approaches downscale coarse-resolution weather data to create finer, localized forecasts for more precise predictions.
- Bias Correction Techniques: Deep learning methods for reducing biases in weather forecasts include calibration, error correction, and observational data integration.
- Integration with Numerical Weather Prediction Models: Combining deep learning with traditional numerical weather prediction models enhances forecast accuracy and predictive capabilities.
- Applications and Case Studies: Practical applications of deep learning in weather forecasting, such as disaster preparedness, climate modeling, and agricultural planning. Case studies showcase the transformative impact of these methods across various sectors.
A developing GEWEX Regional Hydroclimate Project, Humans and Hydroclimate in the United States (H
2US
), is bringing the observational, modeling, and social science communities together to advance the state of the science and our predictive capabilities to better characterize the water, energy, and carbon cycles. Submissions are invited that explore a convergent approach to address these challenges, through co-design, and inter- and transdisciplinary approaches to water cycle science for a better understanding and quantification of water availability and sustainability now and in the future. Especially relevant 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, to support of Earth system modeling of the water-cycle, and regional, national and global operational weather and hydroclimate monitoring and modelling efforts. The session discussion can contribute to a ‘Digital Earth’ representation of the water cycle over the US.
Submitters: Timothy L. Schneider; Sarah A. Tessendorf, NCAR, Boulder, CO and Peter Van Oevelen, GEWEX, George Mason University, Fairfax, VA
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 “Towards a Thriving Planet: Charting the Course Across Scales.”
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: Molly Woloszyn, CIRES, Champaign, IL; NOAA/NIDIS, CIRES, Boulder, CO; Joshua K. Roundy, Department of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, Lawrence, KS; Jason A Otkin, Univ. of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI and Rachel Maya Robinson, NOAA PSL, CIRES, Boulder, CO
This session is structured to showcase new sensors, observation methods, and data application related to mesonet and micronet systems. Advancements include broadening sensing capabilities to support health monitoring (such as heat index), vertical profiling abilities, snow water equivalent (SWE) measurements, and other distinctive sensing techniques. The primary objective of this session is to emphasize innovative products from both new and established network systems.
The increasing magnitude and frequency of hydrometeorological extremes are exacerbating global flood risks on an unprecedented scale. Changing human-climate dynamics further presents 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, including hybrid data-model fusion to provide 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, prediction, and forecasting tools (integrated atmospheric-hydrologic-hydrodynamic modeling, data assimilation, uncertainty quantification, and machine learning) and (2) lessons learned from managing big floods from scientific and societal perspectives. We welcome papers that particularly focus on large-scale flood modeling as well as continental and global-scale hydrologic forecasting systems.
Submitters: Ganesh R Ghimire, Environmental Sciences Division/Water Resources Science and Engineering, ORNL, Oak Ridge, TN; Sudershan Gangrade, Environmental Sciences Division, ORNL, Oak Ridge, TN; Shih-Chieh Kao, Environmental Sciences Division/Water Resources Science and Engineering, ORNL, Oak Ridge, TN and Mario Morales-Hernández, I3A-University of Zaragoza, Zaragoza, Zaragoza, Spain
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
This session calls for research and papers on the role of climate change informed decision making in the water resources community. Papers discussing methods to reduce uncertainty in the estimation and forecasting of potential changes in heavy precipitation, runoff, snowmelt, and other hydrologic drivers near dams are especially encouraged. The goal of this session is to give climate change experts and decision-makers technical guidance and methodology so they may use the current global climate models to make well-informed decisions about water resources across various temporal and spatial scales.
Submitters: David Paul Keeney, Applied Hydrology, Technical Service Center, U.S. Bureau of Reclamation, Denver, CO and Kent Walker, Dam Safety Office, Bureau of Reclamation, Denver, CO
The Earth’s water cycle, encompassing processes such as precipitation, evapotranspiration, and runoff, among others, exhibits strong variability and extremes at local, regional, and global scales. These fluctuations lead to both acute and chronic stressors for terrestrial ecosystems and for our society. To navigate towards a thriving planet and a sustainable future, this session calls for submissions on advances in characterizing, understanding, and quantifying the various components of the Earth’s water cycle across different spatiotemporal scales. We especially encourage contributions that address challenges, emerging phenomena, and knowledge gaps related to the water cycle.
Submitters: Guiling Wang, Univ. of Connecticut, Storrs, CT; Department of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT and Kyle R. Knipper, Sustainable Agricultural Water Systems Unit, USDA, Davis, CA
4
Thursday Posters
Location: Hall C (New Orleans Ernest N. Morial Convention Center)
Satellite products of atmospheric composition are widely used in air quality research and operational systems. The TROPOspheric Monitoring Instrument (TROPOMI) instrument launched in 2017 provides daily multi-constituent measurements globally at about 5 km2 spatial resolution. The next generation of geostationary satellite constellation for air quality provides retrievals at high spatiotemporal resolution. The Geostationary Environment Monitoring Spectrometer (GEMS) over Asia was launched in 2020 and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission over North America was launched in 2023. Various advancements in air quality research have been made with space-borne remote sensing instruments, including emission estimates, understanding chemical processes, and the development and evaluation of atmospheric chemistry models. In this session, we welcome all discussions about advancing our understanding on air quality and atmospheric composition and chemistry using satellites including but not limited to TROPOMI, GEMS, and TEMPO. Presentations on retrievals, validation, modeling, and applications are all welcomed.
Clouds, aerosol, and precipitation have inherent uncertainties due to limitations in knowledge regarding physical characteristics and processes. In these situations, artificial intelligence can add value to remote sensing and modelling applications, and can aid knowledge discovery. This session is soliciting applications of artificial intelligence to observations and modelling of clouds, aerosols, and precipitation.
The Intergovernmental Panel on Climate Change (IPCC) has announced the Special Report on Climate Change and Cities, set for release in early 2027, as the sole special report of the seventh assessment cycle. In response to this timely focus on the nexus of cities and climate change, this session seeks to facilitate the exchange, update, and synthesis of insights derived from innovative research and approaches in this field.
In particular, we encourage submissions on four key areas central to the discussion:
- Two-Way Feedback Between Cities and Regions, and their Climates: Cities play a significant role in shaping their local and regional climates, leading to a dynamic two-way interaction that influences climate extremes and high-impact weather events.
- Compounding and Cascading Climate Hazards: Urban areas face a multitude of weather-related hazards (such as cold and heat waves, storm-related surface, riverine and coastal flooding, and extreme wind events) across various scales. The frequency, intensity and impact of these events are amplified by climate change and compounded/cascade in complex urban systems.
- Transparency of Model Outputs in Future Climate Scenarios: Communicating the uncertainties in global future climate projections, and their propagation to the regional and local scale analyses in cities, is essential for informed decision-making and effective adaptation strategies.
- Improving Actionability of Science for Cities: Enhancing the usability of scientific findings for urban decision-making may require collaborative efforts, such as co-production or engagement initiatives, to tailor scientific advancements to the specific needs of cities. This includes addressing issues such as representing extremes, uncertainty characterization, and coordination among practitioners and scientists.
This session seeks submission within, but not limited to, these areas that explore the contribution of urban climate research to understanding the relationship between cities and climate change. Observational and/or modelling studies focusing on under-represented cities and regions are welcome.
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.
The impacts of extreme meteorological phenomena and climate change are increasingly felt worldwide, affecting countries, regions, communities, and individuals alike. From heat waves to floods, droughts to air quality disturbances, these events pose significant risks to food and water systems, energy availability, infrastructure stability, ecosystems, and human health. And the trajectory suggests more challenges lie ahead. At every level, from local to global, communities are grappling with the urgent need to bolster their resilience against these threats. They require actionable information and tools to navigate an increasingly unpredictable Earth system.
The scientific community plays a crucial role in this endeavor. By harnessing Earth system predictability research, scientists can provide vital insights and resources to empower communities in their resilience-building efforts. Although climate change is a global phenomenon, its impacts manifest locally. Thus, there's a pressing need for robust and localized information to help communities prepare and mitigate the worst consequences of these events.
This session seeks presentations that showcase examples of Earth system predictability research and its application at the community level. For this session we are broadly defining communities as a group of individuals who are connected by a geographical location (city, state, or region), or share a profession or experience related to an Earth system phenomena (e.g., residents who live within the same water basin, county-level emergency managers). Specifically, we invite contributions that highlight one or more of the following areas:
- Application to Communities: Demonstrations of how Earth system predictability research is being utilized to assess and address risks at the local level, such as forecasts of heatwaves, droughts, and air quality disturbances in regions, cities or rural areas.
- Informing Communities: Efforts to translate scientific findings about predictability into robust and accessible information, and resources for communities to better understand and respond to climate challenges.
- Learning from Communities: Research and efforts that begin with and advance understanding of community needs and interests related to Earth system predictability. For example, results from studies or workshops aimed at collecting the perspectives and experiences of a community related to Earth system predictive needs.
- Co-Creating Science with Communities: Collaborative initiatives that engage communities in the research process, fostering mutual learning and enabling effective adaptation and mitigation strategies grounded in scientific understanding of predictability. For example, the presentation of lessons learned or proposed frameworks for effectively engaging in co-creation.
We welcome submissions focused on the outcomes of such research, as well as the process of doing this work. By fostering dialogue and sharing practices that have proven successful in different contexts, this session aims to facilitate the exchange of knowledge and strategies for enhancing community resilience in the face of climate variability and change. Together, we can empower communities to build a more sustainable and resilient future.
Global warming features considerable spatial variations over both ocean and land. The observed global warming pattern could originate from, for example, spatially varying radiative forcing (e.g., short-lived aerosols), local coupled feedbacks (e.g., ocean- or land-atmosphere interactions), and internal climate variability (e.g., Atlantic/Pacific multidecadal variability). Understanding how the warming pattern forms is critical for determining Earth’s climate sensitivity and for the projection of regional climate change. In this session, we welcome submissions on both the physical processes that drive the formation of global warming pattern and the climate impacts that result from the global warming pattern.
The large-scale atmospheric circulation redistributes heat, moisture, and atmospheric tracers around the globe, playing a key role in shaping regional climate and climate change. The large-scale circulation is in return shaped by the interactions of large-scale dynamics with the global energy budget and hydrological cycle and with smaller scale processes such as mesoscale motions and cloud processes. Disentangling the many processes that shape the large-scale circulation and its response to climate change requires a combination of conceptual understanding, hierarchical modeling, and observations.
We welcome observational, modeling, and theoretical studies on the dynamics of large-scale atmospheric circulations such as jet streams, storm tracks (including blocking and atmospheric rivers), stationary waves, monsoons, and tropical overturning circulations. Contributions on the response of these circulations to climate change are particularly encouraged.
According to the World Health Organization, more than 99% of the world's population live in areas that exceed their ambient air quality guidelines, despite downward trends in emissions in recent years. Many air quality situations are complex and unique to the region in question, which motivates enhanced measurements through organized air quality field studies in partnership with local air quality management and the research community. This session invites presentations sharing lessons learned during recent field study datasets collected from airborne-, ground-, and satellite-based perspectives to fill knowledge gaps within our understanding of air pollution problems in these regions. Recent field campaigns of interest include, but are not limited to AGES+, ASIA-AQ, TRACER-AQ, and others.
3:50 PM-4:30 PM: Thursday, 16 January 2025