Session 9A Artificial Intelligence for Satellite Observations I

Wednesday, 15 January 2025: 8:30 AM-10:00 AM
339 (New Orleans Ernest N. Morial Convention Center)
Host: 24th Conference on Artificial Intelligence for Environmental Science

Papers:
8:30 AM
9A.1
Exploring Multi-Model Ensembling Methods to Improve on Deep Learning Based Smoke Detection
Annabel Wade, University of Washington, Seattle, WA; and R. Koki, C. E. Kumler, and J. Q. Stewart

8:45 AM
9A.2
A Generative Adversarial Network for Downscaling Vegetation Index
Yifan Yang, Colorado State University, Fort Collins, CO; and H. Chen and C. Cao

9:00 AM
9A.3
Using the New Fourier Neural Operator and Real-Time GOES-R Satellite Data for Improved Precipitation Retrievals in the Southern Great Plains
Max Carl Johncox, University of Utah, Salt Lake City, UT; and Z. Pu and S. Zhe

9:15 AM
9A.4
An Interpretable, Satellite-Based, Machine Learning Convection Detection Algorithm Created by an Explainable Boosting Machine and Refined using Domain Knowledge.
Nathan Jeffrey Mitchell, CIRA, Fort Collins, CO; and L. Ver Hoef, K. Moen, K. A. Hilburn, Y. Lee, E. J. King, and I. Ebert-Uphoff

9:30 AM
9A.5
GOES2MRMS: Implementing hybrid Diffusion-Regression Models to predict Radar Reflectivity from Geostationary Satellites
Piyush Garg, NVIDIA Research, Santa Clara, CA; and J. Pathak, N. D. Brenowitz, Y. Cohen, D. R. Durran, K. Kashinath, A. Subramaniam, S. Ravuri, and M. Pritchard

9:45 AM
9A.6
A Multi-modal Masked Autoencoder for Data Assimilation of Earth Observations
Thomas J Vandal, Zeus AI, Arlington, MA; and K. Duffy and Y. Nachmany

Recorded Presentation
- Indicates paper has been withdrawn from meeting
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