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Solar radiation knowledge is important for the solar energy conversion and utilization. In this work, least squares-support vector machine (LS-SVM) algorithms were applied to estimate the yearly and monthly average daily global solar radiation in China using the ordinary meteorological data and geographic parameters. The monthly climatic data from 101(More)
In order to improve land surface modeling predictions, the land surface models are generally calibrated against measurements. The study addressed the parameter sensitivity analysis, model calibration, the realistic quantification of parameter uncertainty and its effect on the results of Noah land surface model. The LH-OAT method was applied in the(More)
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