Application of an Artificial Neural Network Simulation for Top-of-Atmosphere Radiative Flux Estimation from CERES
Author:
Publisher
American Meteorological Society
Subject
Atmospheric Science,Ocean Engineering
Link
http://journals.ametsoc.org/doi/pdf/abs/10.1175/1520-0426%282003%29020%3C1749%3AAOAANN%3E2.0.CO%3B2
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5. Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part II: Validation
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4. Determination of CERES TOA Fluxes Using Machine Learning Algorithms. Part I: Classification and Retrieval of CERES Cloudy and Clear Scenes;Journal of Atmospheric and Oceanic Technology;2017-10
5. Top-of-the-atmosphere shortwave flux estimation from satellite observations: an empirical neural network approach applied with data from the A-train constellation;Atmospheric Measurement Techniques;2016-07-07
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