A069
Application of Machine Learning and Artificial Intelligence in Observing and Modeling, and Analyzing Our Atmosphere I

Wednesday, 9 December 2020: 05:30-06:30
Virtual
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
05:30
A069-01
Improving the forecast skill of a climate model using machine learning trained on a global 3 km simulation (Invited) (718372)
Christopher Stephen Bretherton1, Noah Brenowitz1, Oliver Watt-Meyer1, Walter Andre Perkins2, Jeremy McGibbon1, Anna Kwa1, Brian M Henn1, Spencer Clark1 and Lucas Harris3, (1)Vulcan, Inc., Climate Modeling, Seattle, WA, United States, (2)Vulcan Inc, Climate Modeling, Seattle, WA, United States, (3)NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
05:34
A069-03
Leveraging Interpretable Neural Networks for Scientific Discovery (Invited) (670855)
Elizabeth A Barnes1, Kirsten J Mayer2, Jamin Rader3, Benjamin A Toms3 and Imme Ebert-Uphoff3, (1)Colorado State University, Atmospheric Science, Fort Collins, CO, United States, (2)Colorado State University, Fort Collins, WI, United States, (3)Colorado State University, Fort Collins, CO, United States
05:38
A069-04
Peering Inside the Black Box of Machine Learning for Atmospheric Science (Invited) (667369)
Amy McGovern, University of Oklahoma, Computer Science, Norman, United States
05:42
A069-05
Earth System Science Machine Learning Challenge Problems (761412)
David John Gagne II1, Charlie Becker2, Aaron Bansemer3, Gabrielle Gantos2, Chih-Chieh Chen3, Andrew Gettelman3, Matthew M Hayman4, Alma Hodzic1, Richard Loft1, Bill Petzke5, Gunther Wallach2, Siyuan Wang1 and Keely Lawrence2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)NCAR, Boulder, CO, United States, (4)NCAR, Research Aviation Facility, Boulder, CO, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States
05:46
A069-06
Remote sensing of cloud by deep neural network: Training strategies (765613)
Hironobu Iwabuchi1, Hana Kato1, Xinyue Wang2, Takaya Yamashita1, Rei Kudo3 and Sebastian Schmidt4, (1)Tohoku University, Graduate School of Science, Sendai, Japan, (2)Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Sendai, Japan, Sendai, Miyagi, Japan, (3)Meteorological Research Inst, Tsukuba-Shi, Ibaraki, Japan, (4)Laboratory for Atmospheric and Space Physics, Boulder, CO, United States
05:50
A069-07
Air Quality Modeling for Urban Environments Using Deep Neural Networks and Very High-Resolution Satellite Imagery (774296)
Michael von Pohle1, Adwait Sahasrabhojanee2, Ata Akbari Asanjan3, Emily Deardorff3, Violet Lingenfelter3, Meytar Sorek-Hamer4, Esra Suel5, Bryan Matthews6, Nikunj Oza7 and Michael Brauer8, (1)NASA Ames Research Center, USRA, Moffet Field, United States, (2)NASA Ames Research Center (USRA), Moffet Field, CA, United States, (3)NASA Ames Research Center (USRA), Moffet Field, United States, (4)NASA Ames Research Center, USRA, Moffett Field, United States, (5)Imperial College London, London, United Kingdom, (6)NASA Ames Research Center, SGT, Greenbelt, MD, United States, (7)NASA Ames Research Center, Mountain View, CA, United States, (8)University of British Columbia, School of Population and Public Health, Vancouver, BC, Canada
05:54
A069-08
Exploring the Frontiers of Deep Learning for Earth System Observation and Prediction (696238)
David Hall, NVIDIA, Lafayette, CO, United States
05:58
A069-09
FastMAPOL: An efficient multi-angle polarimetric aerosol and ocean color inversion framework powered by a deep neural network forward model (684456)
Meng Gao1, Bryan A Franz1, Kirk D Knobelspiesse1, Pengwang Zhai2, Jose Vanderlei Martins3, Sharon P Burton4, Cairns Brian5, Richard Anthony Ferrare4, Joel M Gales1, Otto P Hasekamp6, Yongxiang Hu4, Amir Ibrahim1, Brent McBride7, Anin Puthukkudy7, Jeremy Werdell1 and Xiaoguang Xu8, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Maryland Baltimore County, Baltimore, MD, United States, (3)Earth and Space Institute, UMBC, Baltimore, MD, United States, (4)NASA Langley Research Center, Hampton, VA, United States, (5)NASA Goddard Institute for Space Studies, New York, NY, United States, (6)SRON Netherlands Institute for Space Research, Utrecht, Netherlands, (7)University of Maryland Baltimore County, Physics, Baltimore, MD, United States, (8)Joint Center for Earth Systems Technology, UMBC, Baltimore, MD, United States
06:02
A069-10
Measuring Cloud Coverage for Estimating Solar Irradiance (745602)
Seongha Park1, Yongho Kim2, Nicola J. Ferrier1, Scott M Collis1, Rajesh Sankaran1 and Peter H Beckman1, (1)Argonne National Laboratory, Argonne, IL, United States, (2)Argonne National Laboratory, Argonne, United States
06:06
Discussion
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