Session 23rd Conference on Artificial Intelligence for Environmental Science


22 Towards Operationalizing AI/ML Weather Forecast and Decision Support Products
Hosts: (Joint between the 14th Conference on Transition of Research to Operations; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
AI-Assisted Meteorology: Deploying ChatGPT for Live Hurricane Forecasting
Hammad Usmani, Georgia Institute of Technology, Atlanta, GA; and A. B. Patel

12:00 AM
Observation and numerical simulation of terrain-induced windshear based on RHI scans of a Doppler LIDAR
Pak W. Chan, Hong Kong Observatory, Kowloon, China

12:00 AM
Aphelion Wind: a decision-support tool for wind farm operators
Juan Manuel González Sopeña, SOLUTE, San Sebastián de los Reyes, Madrid, Spain; and R. Canito Rubio, A. de la Iglesia Núñez, F. J. Díaz Guadamillas, J. J. Espinosa Martínez, I. García Llona, E. Sánchez, and H. Torres López

12:00 AM
Operationalizing ML-based S2S Forecasts at Salient
Sam Levang, Salient Predictions, Cambridge, MA; and R. Schmitt and B. Zimmerman

12:00 AM
Semi-Automating Research-to-Operation of AI Models with Python
Matthew Aiden Kastl, Texas A&M University-Corpus Christi, Corpus Christi, TX; and F. Tissot, S. Nguyen, S. A. King, and P. E. Tissot

12:00 AM
Application of an Adaptive Post-Processor to Model Output Statistics with a View Towards Extension to the National Blend of Models
Paul J. Roebber, University of Wisconsin - Milwaukee, Milwaukee, WI; and M. Antolik

12:00 AM
Use of AI to perform inline bias correction of NOAA UFS extended-range forecasts.
Stefan Neil Tulich, CIRES and NOAA/PSL, Boulder, CO; and S. Frolov, P. Pegion, T. C. Chen, L. C. Slivinski, and J. S. Whitaker

12:00 AM
AIFS – ECMWF’s Data-Driven Probabilistic Forecasting System
Matthew Chantry, ECMWF, Reading, OXF, United kingdom; and M. Alexe, S. Lang, B. Raoult, J. Dramsch, F. Pinault, Z. Ben Bouallegue, M. Clare, C. Lessig, L. Magnusson, P. DUEBEN, A. Brown, F. Pappenberger, and F. Rabier

12:00 AM
Designing Process-Driven Weather Decision Support IPA solution
Hyesook Lee, KMA, Jeju-do, South korea


AI Advances in Tropical Meteorology: Tropical Cyclones, Sub-seasonal Phenomena, and More
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; the Sixth Special Symposium on Tropical Meteorology and Tropical Cyclones; and the 12th Symposium on the Madden-Julian Oscillation and Sub-Seasonal Monsoon Variability )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Formation Mechanism of TC Secondary Eyewall by Numerical Experiments: Role of Dry Air Inflow from the Middle and Upper Troposphere and Cooling by Evaporation and Sublimation
Kyohei Kasami, The University of Tokyo, Kashiwa-shi, Japan; and M. Satoh

12:00 AM
Tropical Surface Analysis Using Deep Learning
Will Downs, University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science, Miami, FL; and S. Majumdar and A. D. Mahoney

12:00 AM
Evaluation of Typhoon Forecasts Using the Pangu-Weather Neural Network Model: A Comparative Analysis with ECMWF and Other Numerical Prediction Models
Yuanfu na Xie, Shenzhen Institute of Meteorological Innovation, Shenzhen, Guangdong Province, China; and Z. Qin, Y. Wu, N. Wu, J. chen, X. Xu, F. Zheng, and H. Zhang

12:00 AM
Improving Ensemble Model Tropical Cyclone Track Forecast Using Machine Learning
Nikita Agrawal, Whitney M. Young Magnet High School, Chicago, IL; and B. A. Colle

12:00 AM
Exploring Tropical Cyclone Structure and Evolution with AI-based Synthetic Passive Microwave Data
Marie McGraw, CIRA, Fort Collins, CO; and K. Haynes, K. D. Musgrave, I. Ebert-Uphoff, C. Slocum, and J. Knaff

12:00 AM
A Spatially-Aware North Atlantic Tropical Cyclogenesis Index Using Machine Learning
Alex Alvin Cheung, University of Maryland, College Park, MD; and M. J. Molina and S. J. Camargo

12:00 AM
Inference-based retrieval of inner-core tropical cyclone surface winds from satellite-based microwave imagers and sounders
Anthony J. Wimmers, CIMSS, Univ. of Wisconsin−Madison, Madison, WI; and S. Griffin, D. C. Herndon, and C. Velden

12:00 AM
Machine Learning Quality Control of Lightning Data for Tropical Cyclone Intensity Forecasting
Kyle A. Hilburn, ; and S. N. Stevenson, K. Musgrave, and B. C. Trabing

12:00 AM
Causal Feature Selection for Tropical Cyclone Intensity Forecasting
Tom Georges Beucler, University of Lausanne, Lausanne, VD, Switzerland; and S. G. SUDHEESH, F. I. H. Tam, M. S. Gomez Jr., M. McGraw, M. DeMaria, K. Musgrave, A. Gerhardus, and J. Runge

12:00 AM
Development of a Machine Learning-based Tropical Cyclone Track Prediction Scheme over the western North Pacific
You-Hyun Baek, National Institute of Meteorological Sciences, Seogwipo-si, 49, South korea; and H. Lee, J. R. Lee, S. Won, and S. H. Kim


AI Applications in the Energy Sector
Hosts: (Joint between the 15th Conference on Weather, Water, Climate, and the New Energy Economy; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Predictive Intelligence for Lightning Events: A Machine Learning Solution to Mitigate Risks in Power Energy Operations
Luis Pavam, UFPR - Federal University of Parana, Curitiba, Brazil; SIMEPAR - Parana Environmental Technology and Monitoring Service, Curitiba, PR, Brazil; and C. Beneti, L. E. S. Oliveira, M. A. Z. Alves, and L. Calvetti

12:00 AM
Improving the Accuracy of Wind Gust Forecasts for Power Distribution Systems
Rafael Toshio Inouye, SIMEPAR - Parana Environmental Technology and Monitoring Service, Curitiba, PR, Brazil; and C. Beneti, L. Calvetti, L. E. S. Oliveira, and S. Paz

12:00 AM
From High Impact Weather Nowcasting to Power Outage Prediction using Machine Learning Algorithms - A Short-Term RTO Project in Southern Brazil
Cesar Beneti, SIMEPAR - Parana Environmental Technology and Weather Monitoring Service, Curitiba, PR, Brazil; and L. Calvetti, S. Paz, J. Silva Jr., R. T. Inouye, F. Verdelho, R. Lins da Rocha Jr., L. Pavam, G. Rasera, and M. V. Cardoso


Session
AI for Radars: Observations, Data Processing, Classification, Estimation, and Nowcasting
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Data Fusion Approach for Precipitation Nowcasting with ConvLSTM
Otavio Medeiros Feitosa, INPE, São José dos Campos, SP, Brazil; INPE, São José dos Campos - SP, SP, Brazil; and S. Freitas, H. F. D. C. Velho, and A. D. Chovert

12:00 AM
Tornado Detection using Deep Neural Networks and Full-Resolution Polarimetric Weather Radar Data
Mark S. Veillette, MIT Lincoln Laboratory, Lexington, MA; and J. M. Kurdzo, S. Samsi, P. M. Stepanian, J. McDonald, and J. Y. Cho

12:00 AM
Automatic AI Severe Weather Alerting from Radar Data
Matej Choma, Meteopress, Prague, Prague, Czech republic; and M. Murín, J. Bartel, M. Troller, and M. Najman

12:00 AM
Evaluating and Optimizing the MRMS Machine Learning QPE Performance over the Western CONUS
Andrew P. Osborne, CIWRO/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and J. Zhang, R. A. Clark III, and K. Howard


AI for Statistical Parameterization of Unresolved Processes in Earth System Models
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Exploring Data-Driven Equation Discovery to Model Moisture Flux
Rebecca Z Porter, UCAR, Olathe, KS; and Y. Huang and P. Gentine

12:00 AM
A posteriori Learning of Closures for Geophysical Turbulence using Ensemble Kalman Inversion
Yifei Guan, Rice University, Houston, TX; and P. Hassanzadeh, T. Schneider, Z. Huang, O. Dunbar, I. Lopez-Gomez, and J. Wu

12:00 AM
Assessing Radiation Emulator of Numerical Weather Prediction Models for Operational Application in Korea Meteorological Administration
Parksa Kim, National Institute of Meteorological Sciences, Seogwipo, Jeju, South korea; and K. Park

12:00 AM
Incorporation of Physical Equations into a Neural Network Structure for Predicting Shortwave Radiative Heat Transfer
Henry Schneiderman, Pittsburgh Data Science LLC, Pittsburgh, PA

12:00 AM
Exploring Relationships Between Environmental Variables and Global Distribution of Particulate Inorganic Carbon versus Particulate Organic Carbon Using Random Forest Analysis
Rui Jin, Johns Hopkins University, Baltimore, MD; and A. Gnanadesikan

12:00 AM
Advancing Global Land Surface Albedo Parameterization with Physics-Informed Machine Learning Methods
Akarsh Ralhan, University of Maryland, College Park, College Park, MD; and X. Z. Liang

12:00 AM
Explainable Offline-Online Training of Neural Networks for Parameterization: A 1D Gravity Wave-QBO Testbed
Hamid Alizadeh Pahlavan, Rice University, Houston, TX; and P. Hassanzadeh and M. J. Alexander

12:00 AM
A neural network aerosol optics emulator for E3SM
Andrew V. Geiss, PNNL, SEATTLE, WA; and P. L. Ma and B. Singh

12:00 AM
Improving low-cloud fraction predictions through machine-learning techniques
Haipeng Zhang, University of Maryland, College Park, College Park, MD; and Y. Zheng and Z. Li

12:00 AM
Quantifying 3D Gravity Wave Drag in a Library of Convection-Permitting Simulations: What Do We Need for Data-driven Parameterization of Convective Gravity Waves?
Y. Qiang Sun, Rice Univ., Houston, TX; and P. Hassanzadeh, M. J. Alexander, and C. G. Kruse

12:00 AM
Discovering new representations of near-surface exchange using symbolic regression
Andrew V. Geiss, PNNL, Richland, WA; and L. K. Berg

12:00 AM
Emulation of cloud microphysics in a climate model
Walter A. Perkins, Allen Institute for Artificial Intelligence, Seattle, WA; and N. D. Brenowitz, C. S. Bretherton, and J. M. Nugent

12:00 AM
A machine learning parameterization of clouds in a coarse-resolution climate model for unbiased radiation
Brian Henn, Allen Institute for Artificial Intelligence (AI2), Seattle, WA; and Y. R. Jauregui, S. K. Clark, N. D. Brenowitz, J. McGibbon, O. Watt-Meyer, A. G. Pauling, and C. S. Bretherton


Advances in the Use of Artificial Intelligence in Support of Aviation, Range, and Aerospace Meteorology
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 24th Conference on Aviation, Range, and Aerospace Meteorology )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Toward Trustworthy Wind and Turbulence Predictions for Advanced Air Mobility
Mounir CHRIT, University of North Dakota (UND), GRAND FORKS, ND; University of North Dakota, Grand Forks, ND; and M. Majdi

12:00 AM
Exploring Additional Predictors to Improve Probabilistic Forecasting of Thunderstorms Using a 2-D Convolutional Neural Network (CNN)
Dean Calhoun, Purdue University, West Lafayette, IN; and M. B. Ba, K. Zigner, and J. E. Ghirardelli

12:00 AM
Transfer Learning for the Canadian Airspace: Leveraging a Globally-Trained UNet Model to Create Enhanced Radar Depictions in Regional Domains
Kiley L. Yeakel, MIT Lincoln Laboratory, Lexington, MA; and P. M. Lamey, D. Morse, H. Iskenderian, and M. S. Veillette

12:00 AM
ATMOSPHERIC TURBULENCE OBSERVATION AND SIMULATION
POHSIUNG LIN, Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan; NTU (Natinoal Taiwan University), Taipei, Taipwan, Taiwan

12:00 AM
Shallow and Deep Learning Techniques for Lightning and Cloud Electrification Prediction along the Space Coast
Brandon T. McClung, Air Force, Norman, OK; NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, Norman, OK; and A. McGovern

12:00 AM
Development of Localized Aviation MOS Program for Main Airports in South Korea
Jeonghoe Kim, Seoul National University, Seoul, South korea; and J. H. Kim


Session
Applications of Artificial Intelligence for Improved Estimation and Prediction of Extreme Precipitation and/or Drought in Weather and Climate
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Comparison of Regression Algorithms in Multivariable Drought Modeling and Analysis
Maria Chzhen, University of Toronto, Toronto, ON, Canada

12:00 AM
High Spatiotemporal Resolution Quantitative Precipitation Estimation over the United Arab Emirates
Vesta Afzali Gorooh, SIO, La Jolla, CA; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA; and M. Ghazvinian, PhD, W. Hu, Q. Cao, M. Pan, B. Hassan Banimfreg, E. Damiani, A. Sengupta, D. Axisa, and L. Delle Monache

12:00 AM
Improving the Forecast of Extreme Rainfall Event “21.7” in Henan Province Base on a Physical Guided RainNet
Qi Zhong, China Meteorological Administration, Beijing, 11, China; and Z. Zhang and S. Hou

12:00 AM
A Machine Learning Emulator for West African Monsoon Prediction
Charlotte Merchant, Princeton University, Princeton, NJ; and W. Yang and G. A. Vecchi

12:00 AM
A Novel Quantile Regression Neural Network Scheme for Postprocessing Medium-range Ensemble Quantitative Precipitation Forecasts
Mohammadvaghef Ghazvinian, PhD, Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, Univ. of California, San Diego, La Jolla, CA; and S. Candido, L. Delle Monache, V. Afzali Gorooh, A. Sengupta, W. Hu, and F. M. Ralph

12:00 AM
Evaluation of Flash Drought Identification with Machine Learning Techniques, Part 1: Standard Machine Learning Algorithms
Stuart Galen Edris, University of Oklahoma, Norman, OK; and J. B. Basara, J. I. Christian, Ph.D., J. C. Furtado, A. McGovern, and X. Xiao

12:00 AM
Evaluation of Flash Drought Identification with Machine Learning Techniques, Part 2: Common Deep Learning Algorithms
Stuart Galen Edris, University of Oklahoma, Norman, OK; and J. B. Basara, J. I. Christian, Ph.D., J. C. Furtado, A. McGovern, and X. Xiao

12:00 AM
Enhancing Regional Quantitative Precipitation Forecasts Using Machine Learning in Western US Watersheds
Weiming Hu, Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, UC San Diego, La Jolla, CA; James Madison University, Harrisonburg, VA; and M. Ghazvinian, PhD, A. Sengupta, M. Pan, and L. Delle Monache


Applications of Artificial Intelligence to the Coastal Environment
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 22nd Symposium on the Coastal Environment )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Application of Machine Learning Methods to Better Quantify Water-Level Anomalies in Annapolis, MD
Joseph P. Smith, U. S. Naval Academy, Annapolis, MD; and A. R. Davies

12:00 AM
Performance and Comparison of Seq2Seq and Transformer Model Architectures for the Prediction of Water Levels from Hours to Days
Marina Vicens Miquel, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and P. Tissot and A. Medrano, PhD


Session
Applications of Machine Learning to Remote Sensing of Aerosol, Cloud, and Precipitation Properties
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
A Generalized Deep Neural Network for Estimating Severe Hail Likelihood from Satellite Infrared Cloud Top Patterns and Microwave Radiances
Benjamin Scarino, NASA, Hampton, VA; and K. M. Bedka, S. D. Bang, K. Itterly, and D. J. Cecil

12:00 AM
Denoising Raw Photon Counting Atmospheric Lidar Data Using Autoencoders
Patrick A. Selmer, SSAI, Lanham, MD; and J. E. Yorks and E. P. Nowottnick

12:00 AM
Generating Synthetic Visible Satellite Data with Machine Learning
Tim W Reid, MIT Lincoln Laboratory, Lexington, MA; and P. Khorrami, O. Simek, and M. S. Veillette

12:00 AM
Cloudstream: Long-term Cloud Detection Image Prediction Model Using Multi-Channel Satellite Images
Eunbin Cho, SIA(SI analytics), Daejeon, South korea; SI-Analytics, Daejeon, South korea; and E. Kim and Y. Choi

12:00 AM
Deep Learning Enhancements for Global Synthetic Radar Analyses
Mark S. Veillette, MIT Lincoln Laboratory, Lexington, MA; and K. L. Yeakel, P. Khorrami, and O. Simek

12:00 AM
Near-real-time Aerosol Retrievals via Neural Networks: Application to OMPS Limb Profiler Measurements
Michael D. Himes, NASA Postdoctoral Program, Greenbelt, MD; and G. Taha, T. Zhu, D. Kahn, and N. A. Kramarova


Session
Applying Uncertainty Quantification Methods to Environmental Artificial Intelligence Models
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Estimating Uncertainty of Water Temperature Predictions for Cold-Stunning Events in the Laguna Madre
Hector Miguel Marrero-Colominas, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and M. Shotande, A. H. Fagg, M. White, P. Tissot, and A. McGovern

12:00 AM
Machine-learned uncertainty quantification is not magic: Lessons learned from emulating radiative transfer with ML
Ryan A. Lagerquist, CIRA and NOAA/ESRL/GSL, Boulder, CO; and D. D. Turner, J. Q. Stewart, and I. Ebert-Uphoff

12:00 AM
Uncertainty Quantifications of the Onset and Offset of Cold-Stunning Events Using AI Ensemble Methods
Miranda White, Texas A&M University-Corpus Christi, Corpus Christi, TX; NSF Artificial Intelligence Institute (AI2ES), Corpus Christi, TX; and M. Vicens-Miquel, H. Marrero, P. E. Tissot, J. Woodall, C. Duff, and B. Colburn


Artificial Intelligence for Actionable Insights and Applications in Climate Science
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 37th Conference on Climate Variability and Change )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
A transformer-based deep learning model for successful predictions of the 2021 second-year La Niña condition
Rong-Hua Zhang, Qingdao, China

12:00 AM
A Data-Driven Approach to Identifying Key Regions of Change Associated with Future Climate Scenarios
Zachary Labe, Princeton University, Princeton, NJ; and T. L. Delworth, N. Johnson, and W. Cooke

12:00 AM
Bias Correction of Global Ensemble Forecast System (GEFS) Precipitation Forecasts using Long Short Term Memory (LSTM) Model over Complex Terrain Regions
Md Abul Ehsan Bhuiyan, National Oceanic and Atmospheric Administration, College Park, MD; and W. M. Thiaw and E. B. Bekele

12:00 AM
A purely data-driven transformer model for real-time predictions of the 2023-24 climate condition in the tropical Pacific
Rong-Hua Zhang, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China

12:00 AM
ML to Accelerate Actionable Climate Information: the Importance of Uncertainty Quantification
Hannah Christensen, University of Oxford, Oxford, Oxfordshire, United kingdom


Session
Artificial Intelligence for Environmental Science
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Uncovering the drivers of urban air pollution using spatial machine learning for improved analysis and forecasting
Firas Gerges, Princeton University, Princeton, NJ; and M. Llaguno-Munitxa, M. A. Zondlo, M. Boufadel, and E. Bou-Zeid

12:00 AM
Extreme Value Analysis of K-Means Single (k=1) Cluster Statistical Distances, a Heuristic Approach with Los Angeles and San Francisco Hourly Temperatures and Monthly Precipitation
Charles J. Fisk, Individual, Newbury Park, CA

12:00 AM
Can AI Models Perform Dynamical Downscaling? Training Deep Generative Models to Downscale ERA5 Variables to High-Resolution COSMO-CLM Dynamical Reanalyses over Italy
Elena Tomasi, Fondazione Bruno Kessler - FBK, Trento, TN, Italy; and G. Franch and M. Cristoforetti

12:00 AM
Development of a Prediction Method for Weather Types using a Deep Neural Network
Kazuki Tanaka, Japan Meteorological Agency, Tsukuba, Japan; and T. T. Sekiyama

12:00 AM
Physics-informed Machine Learning Methods for Post-processing Weather Elements
Gurvir Kaur Bawa, Embry-Riddle Aeronautical University, Daytona Beach, FL; Embry-Riddle Aeronautical University, Daytona Beach, FL

12:00 AM
FogNet-V2: Multi-view Tensorized Transformer for Coastal Fog Forecasting
Hamid kamangir, Texas A&M University-Corpus Christi, Corpus Christi, TX; Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and E. Krell, W. G. Collins, P. Tissot, S. A. King, and D. J. J. Gagne II

12:00 AM
Using deep learning to predict cloud-to-ground lightning in the western United States
Dmitri Kalashnikov, Washington State University Vancouver, Vancouver, WA; and F. V. Davenport, Z. Labe, P. C. Loikith, J. Abatzoglou, and D. Singh

12:00 AM
RainForests: A machine-learning approach to calibrating NWP precipitation forecasts
Belinda Trotta, BoM, Melbourne, VIC, Australia; and B. Owen, J. Liu, G. Weymouth, T. Gale, T. Hume, A. Schubert, J. Canvin, D. Mentiplay, and J. Whelan

12:00 AM
True Positive Convective Storms Without Lightning in ThunderCast
Stephanie M. Ortland, University of Wisconsin-Madison, Madison, WI; Univ. of Wisconsin -- Madison, Madison, WI; and M. J. Pavolonis and J. L. Cintineo

12:00 AM
Artificial Intelligence-based Investigation of Severe Thunderstorms Producing Downbursts in Canada.
Mohammad Hadavi, McGill University, Montreal, QC, Canada; and D. Romanic

12:00 AM
Using Machine Learning to Produce Watch-to-Warning Severe Weather Guidance
Samuel Varga, University of Oklahoma, Norman, OK; Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, OK; National Severe Storms Laboratory, Norman, OK; and M. L. Flora and C. K. Potvin

12:00 AM
Understanding Instabiltities of Neural Weather Models: Towards seamless weather to climate prediction
Ashesh K Chattopadhyay, Rice Univ., Houston, TX; and P. Hassanzadeh

12:00 AM
An AI/ML Method for the Retrieval of Similar Weather Events Using Geostationary Satellite: COMS & GK2A
Byeongyeon Kim, National Institute of Meteorological Science, Seogwipo-si, Jeju-do, South korea; and Y. H. Baek, H. Shin, S. W. Ko, C. Yang, H. Lee, S. H. Kim, C. Han, S. Kim, G. Lee, M. Choe, H. M. Park, and K. Shin

12:00 AM
Machine Learning for Predicting Air Quality Using Land Images
Jing Wang, Princeton University, Princeton, NJ; and F. Gerges and E. Bou-Zeid

12:00 AM
Exploring Cross-Validation Techniques for ML Predictions of Rare Cold-Stunning Events
Jarett woodall, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and M. White, H. Marrero, M. Vicens-Miquel, and P. E. Tissot

12:00 AM
Flood Detection and Mapping Through Sensor Fusion: A Comparative Study of Multi-Sensor Data Integration with UAV Optical Imagery
Mulham Fawakherji, north carolina agricultural and technical state university, Greensboro, NC; and L. Hashemi Beni


Big Data, Big Computing, Bigger Science: High-Performance Computing Enabled Artificial Intelligence/Machine Learning in Earth System Science
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; the 10th Symposium on High Performance Computing for Weather, Water, and Climate; and the 40th Conference on Environmental Information Processing Technologies )
Submission Deadline: Thursday, 31 August 2023

Session
Challenges and Opportunities for Interdisciplinary Communication in AI and Climate
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023

Cloud Computing for Big Data in Atmosphere, Ocean, and Climate
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 23rd Conference on Artificial Intelligence for Environmental Science; the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science; and the 10th Symposium on High Performance Computing for Weather, Water, and Climate )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Standardized Drought Indices on Drought.gov, produced with Climate Engine and Google Earth Engine, from multiple foundational precipitation and temperature datasets
Steve Ansari, NOAA, Asheville, NC; and J. Huntington, M. Shaw, K. Satalino, J. Fain, B. Daudert, J. Hansen, C. Morton, T. Ott, and K. C. Hegewisch

12:00 AM
From Waterfall to Agile: Lessons Learned During the NOAA/NESDIS/OCS Journey to Expedite Transition to Ops in the Cloud
Kelly L. Neely, NESDIS, Silver Spring, MD


Data Quality and Provenance for Artificial Intelligence (AI) and Machine Learning (ML) Applications
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 40th Conference on Environmental Information Processing Technologies )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Leveraging Machine Learning and Deep Learning for Enhanced Data Quality Control at the Atmospheric Radiation Measurement (ARM) User Facility
Mia Li, University of Oklahoma, Norman, OK; and K. Kehoe, R. A. Peppler, A. Sockol, and C. Godine

12:00 AM
Introduction to development of meteorological big data preprocessing technology for artificial intelligence training data production
Junsang Park, National Institute of Meteorological Sciences, Korea Meteorological Administration, Deogwipo-si, jeju-do, South korea; KMA, Seogwipo-si, Jeju, South korea; and K. Park, H. Lee, S. hong, J. Kim, and G. LEE


Developing Cloud-based Tools for Data Analysis and Archiving
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 23rd Conference on Artificial Intelligence for Environmental Science; the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science; and the 10th Symposium on High Performance Computing for Weather, Water, and Climate )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Lightning in a Flash: A Cloud-based, Open Source Capability to Support Data Access and Analysis of Space-based Lightning Observations
Navaneeth Selvaraj, Global Hydrometeorology Resource Center, Huntsville, AL; and A. Subedi, D. Acharya, G. T. Stano, W. Ellett, L. Sinclair, and A. Kaulfus

12:00 AM
Field Campaign eXplorer (FCX): Empowering Scientific Advancements Through Cloud-Based Data Visualization and Analysis
Navaneeth Selvaraj, Global Hydrometeorology Resource Center, Huntsville, AL; and S. Thapa, G. T. Stano, W. Ellett, L. Sinclair, and A. Kaulfus

12:00 AM
Developing a Cross-Institutional Open-Source Cyberinfrastructure to Explore, Analyze, and Communicate Greenhouse Gas Data and Information
Siddharth Chaudhary, University of Alabama in Huntsville, Huntsville, AL; MSFC, Huntsville, AL; and D. K. Smith, J. L. Roux, S. Adhikari, V. Gaur, S. T. (Pitter) Combley, M. Maskey, and A. Kavvada

12:00 AM
Continuing Warning Decision Assessments with Enhanced Simulations: Incorporating WES-in-the-Cloud
Alexander B. Zwink, NWS, Norman, OK; and T. Lindley, D. A. Morris, and S. R. Cobb


Session
Explainable Artificial Intelligence (XAI) for Environmental Science
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Distinguishing the Regional Emergence of United States Summer Temperatures Between Observations and Climate Model Large Ensembles
Zachary Michael Labe, PhD, Princeton University, Princeton, NJ; and N. Johnson and T. L. Delworth

12:00 AM
Explainable deep learning for climate applications using the Spectral Analysis of Regression activations and Kernels (SpARK) framework
Yifei Guan, Rice University, Houston, TX; and A. K. Chattopadhyay, A. Subel, H. Alizadeh Pahlavan, and P. Hassanzadeh

12:00 AM
Identifying data sources and physical strategies used by neural networks to predict TC rapid intensification
Ryan A. Lagerquist, CIRA and NOAA/ESRL/GSL, Boulder, CO; and J. Knaff, C. Slocum, K. Musgrave, and I. Ebert-Uphoff


FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research and Operations
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 27th Conference of Atmospheric Science Librarians International; the 23rd Conference on Artificial Intelligence for Environmental Science; the 14th Conference on Transition of Research to Operations; and the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Towards a FAIRest Copernicus Climate and Atmosphere Data Store
Angel Lopez Alos, ECMWF, Reading, United kingdom; and M. Fuentes, B. Raoult, M. Znacchi, E. Damasio Da-Costa, and E. Comyn-Platt

12:00 AM
The Geolocated Information Processing System (GeoIPS) – A Platform for Collaborative Development
Christopher Camacho, NRL, Monterey, CA; and M. Surratt, S. Yang, A. A. Lambert, and L. Wilson

12:00 AM
Promoting open science: a better tool for version controlling gigantic binary data files - git-qing
Guoqing Ge, CIRES and NOAA/GSL, Boulder, CO; and M. Hu, T. T. Ladwig, S. S. Weygandt, S. Liu, and J. R. Carley


From Data to Decision: AI at the Intersection of Meteorology, Climate, and Society
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 19th Symposium on Societal Applications: Policy, Research and Practice )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
NWS Forecaster Perceptions of New AI Guidance for Coastal Fog Prediction
Christopher D. Wirz, NCAR, Boulder, CO; and J. L. Demuth, M. White, J. T. Radford, P. E. Tissot, M. G. Cains, PhD, H. Kamangir, E. A. Krell, A. Bostrom, S. A. King, W. G. Collins, and J. K. Williams


Session
Improvements to Subseasonal-to-Seasonal (S2S) Predictions using Novel Statistical and Artificial Intelligence/Machine Learning (AI/ML) Methods
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Viewing S2S Predictability of Weather Regimes through the Lens of the Earth System and Convolutional Neural Networks
Jhayron S Pérez-Carrasquilla, Univ. of Maryland, College Park, MD; and M. J. Molina

12:00 AM
Identifying Tropical State-Dependent Biases Relevant to Midlatitude Subseasonal Predictability with Explainable Neural Networks
Kirsten J Mayer, NCAR, Boulder, CO; and K. Dagon and M. J. Molina

12:00 AM
Decoding Climate Complexity: Novel Approaches to S2S Forecasting through Advanced AI Technology
Pratik Shukla, Univ. of Maryland Baltimore County, Baltimore, MD; and M. Halem

12:00 AM
Improving the Subseasonal Forecasting of the Western U.S. Precipitation with A Causality-Based Statistical Model
Jiwang Ma, The Artificial Intelligence Group, Southern Marine Laboratory, Zhuhai, Guangdong, China; and X. S. Liang

12:00 AM
Leveraging Interpretable Machine Learning Methods for Subseasonal Precipitation Forecasts in Western United States
Agniv Sengupta, SIO, La Jolla, CA; and M. J. DeFlorio, I. Yang, J. L. Bano Medina, B. Guan, and L. Delle Monache

12:00 AM
Empowering Coastal Resilience: A Multi-Layer Perceptron Approach for Subseasonal-to-Seasonal Sea Level Predictions in the Gulf of Mexico
Marina Vicens Miquel, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and C. Radin, V. Nieves, P. Tissot, and A. Medrano, PhD


Improving AI literacy for the weather, water, and climate enterprise
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 33rd Conference on Education )
Submission Deadline: Thursday, 31 August 2023

Session
Integration of AI into Weather Forecasting: What will the next 20 years bring?
Hosts: (Joint between the Second Symposium on the Future of Weather, Forecasting, and Practice; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023

Session
LSTM and Other Time Series Machine Learning Methods for Time Series Prediction
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Comparison of multivariate time series prediction techniques for emulating Noah-LSM soil moisture outputs.
Mitchell Dodson, MSFC, Huntsville, AL; University of Alabama in Huntsville, Huntsville, AL

12:00 AM
A Fuel Moisture Model for WRF-SFIRE from HRRR and RAWS Data by a Physics-Initialized Recurrent Neural Network
Jan Mandel, Univ. of Colorado Denver, Denver, CO; and J. Hirschi, A. Kochanski, A. Farguell, D. V. Mallia, B. Shaddy, A. A. Oberai, K. A. Hilburn, and J. Haley


Language Transformer, ChatGPT and Other Natural Language Processing Machine Learning in Weather Enterprise
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 14th Conference on Transition of Research to Operations )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Large Language Models for Classifying Flash Flood Impacts
Jorge Alberto Duarte, Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO), Norman, OK; and J. J. Gourley, H. Vergara, P. E. Kirstetter, and C. D. Nicholson

12:00 AM
AI-Assisted Programming for Environmental Scientists
Myranda Uselton Shirk, Vanderbilt University, Nashville, TN

12:00 AM
Leveraging Large Language Models for Providing User Support and Access to Forecast Products
Baudouin Raoult, ECMWF, Reading, United kingdom; and M. U. Shirk, P. Ferrarese, S. Lamy-Thepaut, H. Setchell, and G. Bighin

12:00 AM
A Study on a Weather AI-Search Engine using Speech Recognition and Natural Language Processing
Hayan Shin, KMA, Seogwipo-si, Jeju, South korea; and C. Yang, B. Kim, C. Park, J. Joe, J. Choo, M. Seo, Y. H. Baek, H. Lee, and S. W. Ko


Session
Leveraging Unsupervised Machine Learning in Environmental Science
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Cloud and Aerosol Variability Across Different Synoptic Regimes Identified with a Deep Learning-based Unsupervised Clustering Model
Xue Zheng, LLNL, Livermore, CA; and S. Qiu

12:00 AM
Vegetation mapping of Africa using machine learning
Ismail Adewale Olumegbon, Univ. of Maryland, Baltimore County, Greenbelt, MD; and H. M. Barbosa

12:00 AM
The Utility of Domain Knowledge When Developing Deep Learning Models to Predict Coastal Fog
Waylon G. Collins, NOAA/National Weather Service, Corpus Christi, TX; and B. Colburn, P. E. Tissot, S. A. King, E. Krell, and J. K. Williams


Life on the Edge: Edge Computing and the Internet of Things for Environmental Information processing
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
An Approach to a Reliable IoT Environmental Sensor Network
Tyler Boyle, NIST = National Institute of Standards and Technology, Gaithersburg, MD


Machine Learning Applications in the Energy Sector
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 15th Conference on Weather, Water, Climate, and the New Energy Economy )
Submission Deadline: Thursday, 31 August 2023

Session
Machine Learning for Smoke and Wildfires
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Towards Global Fire Radiative Power (FRP) Retrievals from METImage Measurements Using Regional Radiance Machine Learning Models
Yingxin Gu, IMSG at NOAA/NESDIS/STAR, College Park, MD; and I. A. Csiszar, M. Tsidulko, and W. Guo


Meeting Data Stewardships Needs for Heterogeneous Earth and Atmospheric Science Data via the Exploitation of Emerging Technologies
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 27th Conference of Atmospheric Science Librarians International; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Supporting Open and Equitable Urban Climate Research through Data Management
Yaxing Wei, ORNL, Knoxville, TN; and C. E. Forest, B. F. Zaitchik, and K. J. Davis


Session
Narrating Artificial Intelligence Methods and Advancements for Environmental Science through Images and Storytelling
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023

Session
Open Datasets for Artificial-intelligence Research and Applications in Earth and Atmospheric Sciences
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023

Session
Other topics on Artificial Intelligence for Environmental Science
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Testing Machine Learning Methods for Downscaling in the 3D RTMA project
Miodrag Rancic, IMSG and Lynker, College Park, MD; and A. M. Gibbs, M. Pondeca, R. J. Purser, T. lei, E. Colon, M. T. Morris, and G. Zhao


Physical Interpretability of Empirical Models
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 28th Conference on Probability and Statistics )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Meteorological Interpretation of XAI Output Applied to a 3D Convolutional Neural Network Fog Prediction Model
Waylon G. Collins, NOAA/National Weather Service, Corpus Christi, TX; and E. Krell, P. E. Tissot, and S. A. King


Session
Predicting Sea-Level Rise Using Machine Learning Methodology and Economics Models
Hosts: (Joint between the 37th Conference on Climate Variability and Change; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023

Session
Pure AI and Data-Driven Weather Forecasts
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Exploring the Potential of Data-Driven AI Models for Operational Weather Forecasting in Finland
Leila Hieta, Finnish Meteorological Institute, Helsinki, Finland; and M. Partio, M. Rauhala, and T. Riihisaari

12:00 AM
Rapid Update Nowcasting with AI fusion of NWP and Other Data Sources
Matej Murín, Meteopress, Prague, Czech republic; and M. Choma, J. Bartel, M. Troller, P. Šimánek, and M. Najman

12:00 AM
Harnessing Data-driven Neural Weather Models for Climate Attribution: A Case Study of the Oroville Dam Atmospheric River Episode of February 2017
Jorge Luis Bano Medina, SIO, San Diego, CA; Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, Univ. of California, San Diego, La Jolla, CA; and A. Sengupta, L. Delle Monache, W. Hu, and D. Watson-Parris

12:00 AM
Towards Comprehensive Evaluation of Data-Driven Numerical Weather Prediction Models
Jaideep Pathak, NVIDIA Corporation, Santa Clara, CA; Nvidia Corporation, Santa Clara, CA; and B. Bonev, T. Kurth, N. D. Brenowitz, Y. Cohen, K. Kashinath, J. Kossaifi, K. Azizzadenesheli, N. Kovachki, M. Baust, C. Hundt, A. Anandkumar, and M. Pritchard

12:00 AM
Improving Deep Learning Weather Prediction Using the HEALPix Mesh
Dale R. Durran, Univ. of Washington, Seattle, WA; and M. Karlbauer, N. A. Cresswell-Clay, R. A. Moreno, T. Kurth, M. Bisson, and M. V. Butz

12:00 AM
Evaluation of Tropical Cyclone Track and Intensity Forecasts from Purely ML-based Weather Prediction Models, Illustrated with FourCastNet
Robert T. DeMaria, CIRA, Fort Collins, CO; and M. DeMaria, G. Chirokova, K. Musgrave, J. T. Radford, and I. Ebert-Uphoff

12:00 AM
A research agenda for the evaluation of AI-based weather forecasting models
Imme Ebert-Uphoff, CIRA, Fort Collins, CO; and J. Q. Stewart, K. A. Hilburn, J. T. Radford, R. T. DeMaria, R. Chase, R. A. Lagerquist, C. White, Y. Lee, J. Apke, K. D. Musgrave, L. Ver Hoef, C. E. Kumler, M. S. Wandishin, J. Duda, I. Jankov, and D. D. Turner


Statistics and Machine Learning for Climate Science
Hosts: (Joint between the 28th Conference on Probability and Statistics; the 37th Conference on Climate Variability and Change; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
The Climate Change Deniers are Wrong: Evidence from NOAA's Barrow Atmospheric Observatory in Alaska
Kevin F Forbes, Energy and Environmental Data Science, Malahide, D, Ireland

12:00 AM
A Subseasonal U.S. Tornado Outbreak Index: Empirical Relationship between Outbreak-level Tornado Occurrence and the Large-scale Environment
Kelsey M. Malloy, Columbia University, New York, NY; Columbia University, New York, NY; and M. K. Tippett

12:00 AM
Constraining the Simulated Radiative Effects of Biomass Burning in Southern Africa
Victor Alejandro Sanchez, Carnegie Mellon University, Pittsburgh, PA; Carnegie Mellon University, Pittsburgh, PA; and J. Carzon, M. Kuusela, and H. Gordon

12:00 AM
Parameterizing Cloud Microphysics with Machine Learning-Enabled Bayesian Parameter Inference
Kaitlyn Loftus, Columbia University, New York, NY; and M. van Lier-Walqui, H. Morrison, K. K. Chandrakar, PhD, M. A. Bhouri, and S. P. Santos


Tending the Treasure Trove: Advancing Stewardship for Non-Satellite Earth Observations
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 27th Conference of Atmospheric Science Librarians International; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Blast from the Past: ASDC Curation for NASA Suborbital Legacy Missions to Promote Discovery and Accessibility
Megan E. Buzanowicz, ADNET Systems, Inc., Hampton, VA; and S. Leavor, N. Jester, G. Mojica, A. Porter, C. Gao, and J. Kusterer

12:00 AM
Recent Updates and Next Steps for NASA’s Catalog of Archived Suborbital Earth Science Investigations (CASEI)
Stephanie M. Wingo, University of Alabama in Huntsville, Huntsville, AL; and D. K. Smith, A. Shirey, E. Walker, C. Woods, H. Mok, A. Lukach, E. Keeble, T. Feldmann, P. Phatate, C. Davis, R. Wyatt, and R. Ramachandran

12:00 AM
An Overview of NASA’s Airborne and Field Data Resource Center
Sara H Lubkin, NASA, Greenbelt, MD; Nasa, Crofton, MD; and J. Brennan, D. K. Smith, S. M. Wingo, M. Thornton, M. Buzanowicz, B. Wilson, C. Gao, L. Sinclair, and G. T. Stano


Session
The impact of AI on forecasting practices.
Hosts: (Joint between the Second Symposium on the Future of Weather, Forecasting, and Practice; and the 23rd Conference on Artificial Intelligence for Environmental Science )
Submission Deadline: Thursday, 31 August 2023

Session
Trustworthy, Responsible, and Ethical AI
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023

Using Artificial Intelligence to Analyze Satellite Earth Observations
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; the 26th Conference on Satellite Meteorology, Oceanography, and Climatology; and the 20th Annual Symposium on Operational Environmental Satellite Systems )
Submission Deadline: Thursday, 31 August 2023
12:00 AM
Leveraging Machine Learning to Exploit SmallSats
Hui Christophersen, NRL, Monterey, CA; and D. Sidoti, B. Campbell, PhD, and E. Satterfield

12:00 AM
Detecting and Tracking Iceberg A-76A from VIIRS Observations with U-Net Deep Learning Model
Tiancheng Steven Shao, Montgomery Blair High School, Silver Spring, MD; and B. Zhang, S. Uprety, and J. Dong

12:00 AM
Retrieving 3D cloud radar reflectivity from MODIS cloud products based on CGAN
Yubao Liu, NUIST, Nanjing, Jiangsu, China; Nanjing University of Information and Science Technology, Nanjing, CO, China; and F. Wang, Y. Zhou, Y. Qin, and H. Fan

12:00 AM
Bridging the Scale Gap: Machine Learning for Urban Heat Island Modeling and Mitigation
Firas Gerges, Princeton University, Princeton, NJ; and A. B. Dieng and E. Bou-Zeid


Using Big Data Repositories: Open Data Feeding Open Science
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 27th Conference of Atmospheric Science Librarians International; the 23rd Conference on Artificial Intelligence for Environmental Science; the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science; and the 10th Symposium on High Performance Computing for Weather, Water, and Climate )
Submission Deadline: Thursday, 31 August 2023

Session
Visualization Tools and Products from Machine Learning and Artificial Intelligence Models
Host: 23rd Conference on Artificial Intelligence for Environmental Science
Submission Deadline: Thursday, 31 August 2023
12:00 AM
AI-Models: A Tool for Making Forecasts with Data-Driven NWP Models
Baudouin Raoult, ECMWF, Reading, United kingdom; ECMWF, Reading, Berkshire, United kingdom; and M. Chantry, F. Pinault, J. Dramsh, and F. Pappenberger