A071
Applications of Machine Learning Algorithms in Modeling Atmospheric Aerosols, Clouds, and Radiation I

Wednesday, 9 December 2020: 07:00-08:00
Virtual
Primary Convener:  ManishKumar Shrivastava, Pacific Northwest National Labs, Richland, WA, United States
Conveners:  Ziheng Sun, George Mason University Fairfax, Center for Spatial Information Science and Systems, Fairfax, VA, United States, Daniel Tong, George Mason University Foundation Inc., Columbia, MD, United States and Anthony S Wexler, University of California Davis, Davis, CA, United States
Primary Liaison:  ManishKumar Shrivastava, Pacific Northwest National Labs, Richland, WA, United States
Chairs:  ManishKumar Shrivastava, Pacific Northwest National Labs, Richland, WA, United States and Ziheng Sun, George Mason University Fairfax, Center for Spatial Information Science and Systems, Fairfax, VA, United States
OSPA Liaison:  Daniel Tong, George Mason University Foundation Inc., Columbia, MD, United States
07:00
A071-01
Stability of NN Emulations of Long- and Short-wave Radiation Parameterizations in a GCM (Invited) (674993)
Alexei Belochitski, IMSG at NOAA/NWS/NCEP/EMC, College Park, MD, United States and Vladimir Krasnopolsky, NOAA/NWS/NCEP/EMC, College Park, MD, United States
07:04
A071-02
Towards robust operational neural network parameterizations of convection in climate models — advances in stability, credibility and software (Invited) (735866)
Mike S Pritchard1, Tom Beucler1, Griffin Mooers1, Jordan Ott2, Pierre Gentine3, Liran Peng1, Pierre Baldi2 and Surya Karthik Mukkavilli1, (1)University of California Irvine, Earth System Science, Irvine, CA, United States, (2)University of California Irvine, Information and Computer Sciences, Irvine, CA, United States, (3)Columbia University, Earth and Environmental Engineering, New York, NY, United States
07:08
A071-03
Application of Machine Learning to Development of Atmospheric Chemical Mechanisms (750378)
Yuanlong Huang, Weimeng (Stephanie) Kong and John Seinfeld, California Institute of Technology, Pasadena, CA, United States
07:12
A071-04
Parameterization of Autoconversion Rates in a Climate Model Using Machine Learning with Training from Large Eddy Simulations (756195)
Kyle Gregory Pressel1, Po-Lun Ma1, Jiwen Fan1, Jerome D Fast1, William I Gustafson Jr1, Joseph Clinton Hardin1, Colleen Kaul1, Surya Karthik Mukkavilli2, Mikhail Ovchinnikov1, Mike S Pritchard3, Kobby Shpund4 and Sam James Silva1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)University of California Irvine, Irvine, CA, United States, (3)University California Irvine, Department of Earth System Science, Irvine, CA, United States, (4)Pacific Northwest National Laboratory, Richland, United States
07:16
A071-05
A direct mapping between shallow cumulus cloud field properties and three-dimensional surface solar irradiance (667380)
Jake Joseph Gristey1,2, Graham Feingold3, Ian Glenn4, Sebastian Schmidt5,6 and Hong Chen6,7, (1)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (2)NOAA Chemical Sciences Laboratory, Boulder, United States, (3)NOAA ESRL, Chemical Sciences Laboratory, Boulder, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, United States, (5)Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, (6)University of Colorado, Boulder, United States, (7)Laboratory for Atmospheric and Space Physics, Boulder, United States
07:20
A071-06
Application of Machine Learning Techniques for the retrieval of Cloud Properties from Copernicus Satellites Sentinel-4 (S4) and TROPOMI/Sentinel-5 Precursor (S5P) (733114)
Fabian Romahn1, Athina Argyrouli2, Ronny Lutz3, Víctor Molina García3 and Diego G Loyola3, (1)German Aerospace Center (DLR), The Remote Sensing Technology Institute (IMF), Oberpfaffenhofen, Germany, (2)Technical University of Munich (TUM), Department of Civil, Geo and Environmental Engineering, Chair of Remote Sensing Technology, Munich, Germany, (3)German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Oberpfaffenhofen, Germany
07:24
A071-07
Modeling Black Carbon Concentrations at High Spatial Resolution (707844)
Sofia Hamilton, University of California Berkeley, Civil & Environmental Engineering, Berkeley, CA, United States and Robert Harley, University of California, Berkeley, Berkeley, CA, United States
07:28
A071-08
Use of machine learning to reduce uncertainty in anthropogenic radiative forcing associated with aerosol–cloud interactions (756605)
Fangqun Yu, University at Albany State University of New York, Albany, NY, United States, Gan Luo, SUNY Albany, Albany, NY, United States and Arshad Arjunan Nair, SUNY at Albany, Atmospheric Sciences Research Center, Albany, NY, United States
07:32
Discussion
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