Joint Session 22 Hybrid Machine Learning and Statistical Approaches

Tuesday, 14 January 2020: 1:30 PM-2:30 PM
260 (Boston Convention and Exhibition Center)

Cochairs:
Stephan R. Sain, Jupiter Intelligence, Earth and Ocean Systems, Boulder, CO and Dorit Hammerling, Colorado School of Mines, Golden, CO
Papers:
1:30 PM
J22.1
Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California
Michael Scheuerer, CIRES, Boulder, CO; and M. B. Switanek, T. M. Hamill, and R. Worsnop

1:45 PM
J22.3
The long-term frontal system variation for future climate projections with machine learning weather classifier
Shih-Hao Su, Chinese Culture University, Taipei, Taiwan; and T. S. Yo, C. W. Chang, Y. C. Yu, and J. L. Chu

2:00 PM
J22.4
Statistical-Physical Microphysics Parameterization Schemes: A Proposed Framework for Physically-Based Microphysics Schemes that Learn from Observations
Marcus van Lier-Walqui, Columbia University & NASA/GISS, New York, NY; and H. Morrison, M. R. Kumjian, K. J. Reimel, O. P. Prat, S. Lunderman, and M. Morzfeld

Abstract Submissions Closed



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