Session 7B Using AI (Artificial Intelligence) to Exploit Satellite Earth Observations

Wednesday, 15 January 2020: 8:30 AM-10:00 AM
255 (Boston Convention and Exhibition Center)
Host: 16th Annual Symposium on New Generation Operational Environmental Satellite Systems
Cochairs:
S. A. Boukabara, NOAA/NESDIS/STAR, College Park, MD and David McQuiggan, The Aerospace Corporation, Environmental Systems Directorate, Columbia, MD

Papers:
8:30 AM
7B.1
Learning Convective Cloud Regimes over the Asian Monsoon Area
Wei-Ting Chen, National Taiwan Univ., Taipei City, Taiwan; and P. J. Chen and C. M. Wu
Recorded Presentation

8:45 AM
7B.2
Retrieving Fraction of Clear-Sky Irradiance in Near–Real Time Using Multiple GOES-16/17 Channels for North and South America
Daniel B Kirk-Davidoff, EPRI, Albany, NY; and S. Young and J. Black
Recorded Presentation

9:00 AM
7B.3
Addressing Cloud-Height Retrieval Improvements with Convolutional Neural Networks
Anthony Wimmers, CIMSS

9:15 AM
7B.4
Pixel-Based Smoke Detection Using Machine Learning for Next-Generation Geostationary Satellite Imagery
Aaron Kaulfus, Univ. of Alabama in Huntsville, Huntsville, AL; and M. Ramasubramanian, I. Gurung, M. Maskey, R. Ramachandran, and U. Nair
Recorded Presentation

9:30 AM
7B.5
Development of a Machine Learning–Based Radiometric Bias Correction for NOAA’s Microwave Integrated Retrieval System (MiRS)
Yan Zhou, CISESS, College Park, MD; and C. Grassotti, R. Honeyager, S. Liu, Y. K. Lee, X. Liang, and Q. Liu
Recorded Presentation

9:45 AM
Discussion

- Indicates paper has been withdrawn from meeting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