Monday, August 21st, 2017

A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data

Publication year: 2011brbSource:/b Energy, In Press, Corrected Proof, Available online 2 April 2011brNing, Lu , Jun, Qin , Kun, Yang , Jiulin, SunbrSurface global solar radiation (GSR) is the primary renewable energy in nature. Geostationary satellite data are used to map GSR in many inversion algorithms in which ground GSR measurements merely serve to validate the satellite retrievals. In this study, a simple algorithm with artificial neural network (ANN) modeling is proposed to explore the non-linear physical relationship between ground daily GSR measurements and Multi-functional Transport Satellite (MTSAT) all-channel observations in an effort to fully exploit information contained in both data sets. Singular value decomposition is implemented to extract the principal signals from satellite data and a novel method is applied to…br Highlights: ► A simple and efficient algorithm to estimate GSR from geostationary satellite data. ► ANN model fully exploits both the information from satellite and ground measurements. ► Good performance of the ANN model is comparable to that of the classical models. ► Surface elevation and infrared information enhance GSR inversion.


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