Primary Convener: Tianle Yuan, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Joint Center for Earth Systems Technology, Baltimore, MD, United States
Convener: Chenxi Wang, University of Maryland College Park, College Park, MD, United States
Primary Liaison: Tianle Yuan, NASA GSFC, Greenbelt, MD, United States
Chairs: Tianle Yuan, NASA GSFC, Greenbelt, MD, United States and Chenxi Wang, University of Maryland College Park, College Park, MD, United States
OSPA Liaison: Tianle Yuan, NASA GSFC, Greenbelt, MD, United States
Evaluation of dust detection using multiple machine learning algorithms against physics-based approach on Visible Infrared Imaging Radiometer Suite (VIIRS) data (736265)
Jangho Lee1, Yingxi Rona Shi2, Changjie Cai3, Pubu Ciren4, Jianwu Wang5, Aryya Gangopadhyay6 and Zhibo Zhang6, (1)Texas A&M University College Station, College Station, TX, United States, (2)Joint Center for Earth Systems Technology UMBC, Baltimore, ND, United States, (3)University of Oklahoma Health Sciences Center, University of Oklahoma, Occupational and Environmental Health, Oklahoma City, United States, (4)NOAA, Crofton, MD, United States, (5)University of Maryland Baltimore County, Information Systems, Baltimore, MD, United States, (6)University of Maryland Baltimore County, Baltimore, MD, United States
Statistical and Machine Learning Methods Applied to the Prediction of Tropical Rainfall (773135)
Courtney Schumacher1, Jiayi Wang2, Raymond Ka Wai Wong2, Mikyoung Jun2 and Ramalingam Saravanan3, (1)Texas A&M University College Station, College Station, TX, United States, (2)Texas A&M University College Station, Statistics, College Station, United States, (3)Texas A&M University, College Station, TX, United States
A data-driven cloud classification framework based on a rotationally invariant autoencoder (770321)
Takuya Kurihana1, Ian Foster1, Rebecca Willett1, Michael Maire1, Sydney Jenkins2, Anant Matai3 and Elisabeth J Moyer4, (1)University of Chicago, Computer Science, Chicago, IL, United States, (2)University of Chicago, Department of Physics, Chicago, IL, United States, (3)University of Chicago, Computer Science, Chicago, United States, (4)University of Chicago, Department of the Geophysical Sciences, Center for Robust Decision-making on Climate and Energy Policy (RDCEP), Chicago, IL, United States
Application of an Artificial Neural Network for Storm Surge Forecasting (727833)
Alexandra Ramos1,2, Enrique Curchitser3 and Cindy L Bruyere1, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)Rutgers University, New Brunswick, NJ, United States, (3)Rutgers University, Department of Environmental Sciences, New Brunswick, NJ, United States
Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network (737592)
Jian Sun1, Fangcao Xu2,3, Guido Cervone3, Melissa Gervais4, Christelle Wauthier5 and Mark Z Salvador6, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)State College, Pennsylvania, United States, (3)Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States, (4)Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States, (5)The Pennsylvania State University, Department of Geosciences, University Park, PA, United States, (6)Zi Inc, Arlington, VA, United States
Boundary-Aware Tropical Cyclone Detection from Geostationary Satellites and Climatic Archive Data using Advanced Neural Networks (686890)
Ata Akbari Asanjan1, Manisha Ganeshan2, Niama Boukachaba3, Erica L McGrath-Spangler3, Oreste Reale2, Meytar Sorek-Hamer4 and David Bell5, (1)NASA Ames Research Center, USRA, Moffett Field, CA, United States, (2)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (3)Universities Space Research Association, Greenbelt, MD, United States, (4)NASA Ames Research Center, USRA, Moffett Field, United States, (5)Universities Space Research Association Moffett Field, Moffett Field, CA, United States
Classifying global low cloud morphology with a deep learning model: results and potential applications (742224)
Tianle Yuan1, Hua Song2, Johannes Mohrmann3, Robert Wood4, Kerry Meyer1, Lazaros Oreopoulos5 and Steven E Platnick1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland Baltimore County, Baltimore, MD, United States, (3)University of Washington, Seattle, WA, United States, (4)University of Washington, Atmospheric Sciences, Seattle, WA, United States, (5)NASA GSFC, Greenbelt, MD, United States
Development of a Machine Learning Model for Partial Column Ice Water Path and Water Vapor Retrieval (746662)
Bryan Li, Montgomery Blair High School, Rockville, MD, United States, Jie Gong, GEST, Greenbelt, MD, United States, Chenxi Wang, University of Maryland College Park, College Park, MD, United States and Dong Liang Wu, NASA/Goddard Space Flight Cent, Greenbelt, MD, United States
Machine Learning Approach to Classify Precipitation Type from A Passive Microwave Sensor (735747)
Spandan Das1, Jie Gong1,2, Chenxi Wang3,4, Dong Liang Wu1,5, Stephen Joseph Munchak6,7 and William S Olson8, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association, GESTAR, Columbia, MD, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)NASA GSFC, Greenbelt, MD, United States, (5)NASA/Goddard Space Flight Cent, Greenbelt, MD, United States, (6)NASA Goddard Space Flight Center, Greenbelt, United States, (7)University of Wisconsin Madison, Space Science and Engineering Center, Madison, WI, United States, (8)Joint Center for Earth Systems Technology, Baltimore, MD, United States
Two-Stage Artificial Intelligence Algorithm for Calculating Atmospheric Motion Vectors (748252)
Amir Ouyed Hernandez1, Xubin Zeng1, Longtao Wu2, Derek J Posselt2 and Hui Su2, (1)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Using Machine Learning to Detect Cloud Signatures in COSMIC-2 Radio Occultations (735902)
Thomas Cameron Connor1, Stephen Sylvain Leroy1, Jeana Mascio1, Robert P. d'Entremont2 and Emil Robert Kursinski3, (1)Atmospheric and Environmental Research Lexington, Lexington, MA, United States, (2)Atmospheric and Environmental Research, Lexington, United States, (3)Organization Not Listed, Washington, DC, United States
