J3C Using Artificial Intelligence to Analyze Satellite Earth Observations I

Monday, 29 January 2024: 1:45 PM-3:00 PM
338 (The Baltimore Convention Center)
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; the 26th Conference on Satellite Meteorology, Oceanography, and Climatology; and the 20th Annual Symposium on Operational Environmental Satellite Systems )
Cochairs:
Haonan Chen, Cooperative Institute for Research in the Atmosphere (CIRA), Boulder, CO and Jebb Q. Stewart, ESRL, Boulder, CO

This session features applications of AI to analyzing satellite Earth Observation data.

Papers:
1:45 PM
J3C.1
Neural Network Estimates of Cloud Water Content Profiles from Passive Satellite Imagery
Charles White, CIRA, Fort Collins, CO; and Y. J. Noh, J. M. Haynes, and I. Ebert-Uphoff

2:00 PM
J3C.2
3-D Nowcasting of Clouds Using Artificial Intelligence
David Ryglicki, MyRadar, Lakeland, FL; and A. T. Wimmers and S. Garimella

Handout (3.1 MB)

2:15 PM
J3C.3
Retrieving 3D Cloud Radar Reflectivity from MODIS Cloud Products Based on CGAN
Yubao Liu, NUIST, Nanjing, Jiangsu, China; Nanjing University of Information and Science Technology, Nanjing, Jiangsu, China; and F. Wang, Y. Zhou, Y. Qin, and H. Fan

2:30 PM
J3C.4
Continual Lifelong Learning for Precipitation Retrievals Using ABI and GLM Measurements on the GOES-R Series
Yifan Yang, CIRA, Fort Collins, CO; and H. Chen and M. R. Azimi-Sadjadi

2:45 PM
J3C.5
Detecting Above-Anvil Cirrus Plumes on a Pixel Scale Using Deep Learning
Amanda Burke, Univ. of Oklahoma, Norman, OK; and C. R. Homeyer and A. McGovern

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- Indicates paper has been withdrawn from meeting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