A073
Machine Learning for Weather and Climate Modeling II

Wednesday, 9 December 2020: 10:30-11:30
Virtual
Primary Convener:  Noah Brenowitz, Vulcan, Climate Modeling, Seattle, WA, United States
Conveners:  Laure Zanna, University of Oxford, Dept. of Physics, Oxford, United Kingdom, Maike Sonnewald, Princeton University, Princeton, NJ, United States and Christopher Stephen Bretherton, University of Washington Seattle Campus, Seattle, WA, United States
Primary Liaison:  Noah Brenowitz, Vulcan, Climate Modeling, Seattle, WA, United States
Chairs:  Noah Brenowitz, Vulcan, Inc., Climate Modeling, Seattle, WA, United States and Maike Sonnewald, Harvard University, Earth and Planetary Sciences, Cambridge, MA, United States
OSPA Liaison:  Laure Zanna, University of Oxford, Dept of Physics, Oxford, United Kingdom
10:30
A073-01
Probabilistic Weather Prediction with Bayesian Neural Networks (755259)
William Chapman1,2, Luca Delle Monache3, Stefano Alessandrini4, Aneesh Subramanian5, Shang-Ping Xie6, Marty Ralph2 and Negin Hayatbini2, (1)University of California San Diego, La Jolla, CA, United States, (2)Scripps Institution of Oceanography, Center for Western Weather and Water Extremes (CW3E), La Jolla, CA, United States, (3)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)University of Colorado Boulder, Boulder, CO, United States, (6)Scripps Institution of Oceanography, La Jolla, CA, United States
10:34
A073-02
Graph-guided regularized regression to improve predictive skill of precipitation at seasonal timescales (774770)
Abby Stevens1, Rebecca Willett2, Antonios Mamalakis3, Efi Foufoula-Georgiou3, Phong Le4, Alejandro Tejedor5, James Tremper Randerson6, Stephen Wright7 and Padhraic Smyth8, (1)Department of Statistics, University of Chicago, Chicago, IL, United States, (2)University of Chicago, Computer Science, Chicago, IL, United States, (3)University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States, (4)University of Illinois at Urbana-Champaign, Civil and Environmental Engineering, Urbana, IL, United States, (5)Sorbonne University Abu Dhabi, Abu Dhabi, United Arab Emirates, (6)University of California Irvine, Department of Earth System Science, Irvine, CA, United States, (7)University of Wisconsin - Madison, Madison, WI, United States, (8)University of California Irvine, Computer Science, Irvine, CA, United States
10:38
A073-03
Sub-Seasonal Prediction With A Global Deep-Learning Weather Prediction Model (753214)
Dale R Durran, University of Washington Seattle Campus, Atmospheric Sciences, Seattle, WA, United States, Jonathan Weyn, Microsoft Corporation, Redmond, WA, United States and Rich Caruana, Microsoft Research, Redmond, WA, United States
10:42
A073-04
Variational Target Encoding for Integrating Climate Models (686742)
Trevor Harris, Urbana, Illinois, United States and Bo Li, University of Illinois at Urbana Champaign, Urbana, IL, United States
10:46
A073-05
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis (Invited) (665286)
Rose Yu, University of California San Diego, La Jolla, CA, United States
10:50
A073-06
Multi-Resolution Convolutional Neural Network for High-Resolution Downscaling of Wind Fields from Operational Weather Prediction Models in Complex Terrain (690435)
Jérôme Dujardin1,2 and Michael Lehning1,2, (1)Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, (2)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
10:54
A073-07
Generalizable Spatial Downscaling of 2-m Temperature with Multiple Data Sources - Insights from the Recent Advances in Deep Learning (713326)
Yingkai Sha1, David John Gagne II2, Gregory West3 and Roland Stull1, (1)University of British Columbia, Earth, Ocean and Atmospheric Sciences, Vancouver, BC, Canada, (2)NCAR/MMM, Boulder, CO, United States, (3)BC Hydro, Vancouver, BC, Canada
10:58
A073-08
XGBoost-based Hurricane Wind Reconstruction (664475)
Qidong Yang, Columbia University of New York City, Department of Applied Physics and Applied Mathematics, New York, NY, United States, Chia-Ying Lee, Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States, Michael Tippett, Columbia University, Department of Applied Physics and Applied Mathematics, New York, NY, United States, Daniel Robert Chavas, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States and Thomas R Knutson, NOAA Princeton, Princeton, NJ, United States
11:02
Discussion
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