Session 13B Artificial Intelligence for Clouds, Aerosol, and Precipitation I

Thursday, 16 January 2025: 8:30 AM-10:00 AM
245 (New Orleans Ernest N. Morial Convention Center)
Host: 24th Conference on Artificial Intelligence for Environmental Science
Chair:
Philippe E. Tissot
CoChair:
Marina Vicens-Miquel, Texas A&M Univ.-Corpus Christi, Conrad Blucher Institute for Surveying and Science, Corpus Christi, TX

Papers:
8:30 AM
13B.1
Exploring North Atlantic Marine Cloud Morphology using Self-Supervised Machine Learning
Andrew V. Geiss, PNNL, Richland, WA; and M. Christensen, A. Varble, PhD, J. Mülmenstädt, and H. Xiao

8:45 AM
13B.2
Retrieving Ice Particle Properties from in Situ Imaging Probes Using a Machine Learning Algorithm
Robert Schrom, GSFC, Rockville, MD; and K. S. Kuo

9:00 AM
13B.3
Decoding Nonlinear Signals in Multidimensional Precipitation Observations
Fraser King, University of Michigan, Ann Arbor, MI; and C. Pettersen, B. Dolan, J. A. Shates, and D. J. Posselt, PhD

9:15 AM
13B.4
IceDetectNet: Classifying Individual Ice Components in Aggregates
Huiying Zhang, ETH Zurich, Zurich, Switzerland; and Y. Chu, X. Li, A. J. Miller, F. Ramelli, R. O. David, J. Pasquier, U. Lohmann, and J. Henneberger

9:30 AM
13B.5
Characterizing and Reducing Microphysics Parameterization Error with Machine Learning-Enabled Bayesian Inference
Kaitlyn Loftus, Columbia Univ., New York, NY; and M. van Lier-Walqui and H. Morrison

9:45 AM
13B.6
Data-Driven Models for Precipitation Forecasting: A Two-Step Approach
Chi-Jui Chen, Texas A&M University, College Station, TX; and R. Saravanan, I. Szunyogh, C. J. Schumacher, and R. Wong

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- Indicates paper has been withdrawn from meeting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