Session 15A Applications of Artificial Intelligence for Improved Estimation and Prediction of Extreme Precipitation and/or Drought in Weather and Climate II

Thursday, 1 February 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 Presidential Conference )
Cochairs:
Philippe E. Tissot and Jacob T. Radford

Papers:
1:45 PM
15A.1
A Novel Quantile Regression Neural Network Scheme for Postprocessing Medium-range Ensemble Quantitative Precipitation Forecasts
Mohammadvaghef Ghazvinian, PhD, Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, Univ. of California, San Diego, La Jolla, CA; and S. Candido, L. Delle Monache, V. Afzali Gorooh, A. Sengupta, W. Hu, and M. M. Ralph

15A.2
North American Monsoon Prediction Using Causality Informed Machine Learning

2:00 PM
15A.3
Comparison of Regression Algorithms in Multivariable Drought Modeling and Analysis
Maria Chzhen, University of Toronto, Toronto, ON, Canada

2:30 PM
15A.4
Diagnosing Extreme Precipitation from Atmospheric Fields with a UNet Architecture on a HEALPix Mesh
Raul Antonio Moreno, University of Washington, Seattle, WA; and N. A. Cresswell-Clay and D. R. Durran

2:45 PM
15A.5
Exploring the Treatment of Predictors for Forecasting Excessive Rainfall with Random Forests Based on a Deterministic Convection-Allowing Model
Eric P. James, GSD, Boulder, CO; and R. S. Schumacher

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- Indicates paper has been withdrawn from meeting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