Session 2A Applications of Machine Learning in Earth System Modeling

Monday, 13 January 2020: 2:00 PM-4:00 PM
156BC (Boston Convention and Exhibition Center)

Cochairs:
Christiane Jablonowski, University of Michigan, Climate and Space Science and Enigneering, Ann Arbor, MI and Christoph A. Keller, GMAO, Greenbelt, MD

Description:

This session features applications of machine learning and deep learning to atmospheric, ocean, land, and ice models.


Papers:
2:00 PM
2A.2
A Pure Deep Learning Approach to Precipitation Nowcasting
Jason Hickey, Google, Mountain View, CA; and C. Gazen, S. Agrawal, C. Bromberg, L. Barrington, V. Lakshmanan, and J. Burge

2:15 PM
2A.3
Towards Physics-informed Deep Learning for Spatiotemporal Modeling of Turbulent Flows
Rui Wang, Northeastern University, Boston, MA; and A. Albert, K. Kashinath, M. Mustafa, and R. Yu

2:30 PM
2A.4
Deep learning for weather prediction: Forecasting globally-gridded 500-hPa geopotential heights on short- to medium-range time scales
Jonathan A. Weyn, University of Washington, Seattle, WA; and D. R. Durran and R. Caruana

2:45 PM
2A.5
Nonlinear Averaging of Global NCEP Wave Ensemble Using NNs
Vladimir Krasnopolsky Krasnopolsky, NOAA, College Park, MD

3:00 PM
2A.6
Machine Learning for Parameterization of Moist Processes in the Atmosphere
Janni Yuval, MIT, Cambridge, MA; and P. A. O'Gorman

3:15 PM
2A.7
Developing the Snow Cover Fraction Schemes for land surface model using Machine Learning Approach
Yuan-Heng Wang, Univ. of Arizona, Tucson, AZ; and H. V. Gupta, P. D. Broxton, Y. Fang, A. Behrangi, X. Zeng, and G. Y. Niu

3:30 PM
2A.8
A machine learning-based parameterization of OH
M. B. Follette-Cook, Morgan State Univ./GESTAR, Greenbelt, MD; and J. M. Nicely, C. A. Keller, and B. Duncan

Abstract Submissions Closed



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