J7A AI for Statistical Parameterization of Unresolved Processes in Earth System Models II

Tuesday, 30 January 2024: 1:45 PM-3:00 PM
345/346 (The Baltimore Convention Center)
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science )
Cochairs:
Kara D. Lamb, Earth and Environmental engineering, Eath and Env Dep, New York City, NY and Maria J. Molina

Papers:
1:45 PM
J7A.1
A Machine Learning Parameterization of Clouds in a Coarse-Resolution Climate Model for Unbiased Radiation
Brian Henn, Allen Institute for Artificial Intelligence (AI2), Seattle, WA; and Y. R. Jauregui, S. Clark, N. D. Brenowitz, J. McGibbon, O. Watt-Meyer, A. G. Pauling, and C. S. Bretherton

Handout (1.6 MB)

2:00 PM
J7A.2
Improving Low-Cloud Fraction Predictions through Machine-Learning Techniques
Haipeng Zhang, University of Maryland, College Park, College Park, MD; and Y. Zheng Prof and Z. Li

2:15 PM
J7A.3
Emulation of Cloud Microphysics in a Climate Model
Walter A. Perkins, Allen Institute for Artificial Intelligence, Seattle, WA; and N. D. Brenowitz, C. S. Bretherton, and J. M. Nugent

2:30 PM
J7A.4
A Neural Network Aerosol Optics Emulator for E3SM
Andrew V. Geiss, PNNL, SEATTLE, WA; and P. L. Ma and B. Singh

2:45 PM
J7A.5
Convection-Generated Gravity Waves from Weather Radar Observations Via a Neural Network and a Dynamical Atmospheric Model
M. Joan Alexander, NorthWest Research Associates, Boulder, CO; and C. G. Kruse, M. Bramberger, A. K. Chattopadhyay, P. Hassanzadeh, B. Green, and L. Hoffmann

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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