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Estimation of CERES TOA Fluxes using Artificial Neural Network AlgorithmsThe motivation for this study is to develop a Machine learning methodology for the determination of CERES clear-sky scenes and the estimation of clear-sky TOA fluxes from CERES-TOA radiance measurements without using any imager information.
Document ID
20200006467
Acquisition Source
Langley Research Center
Document Type
Poster
Authors
Bijoy Vengasseril Thampi (Science Systems & Applications, Inc. Hampton, VA, USA)
Takmeng Wong (Langley Research Center Hampton, United States)
Constantine Lukashin (Langley Research Center Hampton, United States)
Norman Loeb (Langley Research Center Hampton, United States)
Date Acquired
May 13, 2020
Subject Category
Meteorology and Climatology
Report/Patent Number
NF1676L-30579
Meeting Information
Meeting: 15th Conference on Cloud Physics/Atmospheric Radiation
Location: Vancouver
Country: CA
Start Date: July 9, 2018
End Date: July 13, 2018
Sponsors: American Meteorological Society
Funding Number(s)
WBS: 652528.02.01
Distribution Limits
Public
Copyright
Public Use Permitted.

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