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)

CoChair:
SA. Boukabara, NOAA/NESDIS/STAR, College Park, MD
Papers:
8:30 AM
7B.1
Learning convective cloud regimes over Asian monsoon area
Wei-Ting Chen, National Taiwan University, Taipei City, Taiwan; and P. J. Chen and C. M. Wu

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, UL, Albany, MD; and S. Young and J. Black

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, Huntsville, AL; and M. Ramasubramanian, I. Gurung, M. Maskey, R. Ramachandran, and U. Nair

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. Lee, X. Liang, and Q. Liu

Abstract Submissions Closed



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