Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7937844 | Solar Energy | 2015 | 21 Pages |
Abstract
Validation was conducted using irradiance anomalies defined as the difference between irradiance and its 15Â day moving average against ground measurement from California Irrigation Management Information System (CIMIS), National Renewable Energy Laboratory (NREL), and Integrated Surface Irradiance Study (ISIS) stations. It was found that the calibration of MODIS data markedly improves the accuracy of modeled GHI and DNI anomalies and REST2 clear sky model with calibrated MODIS data achieved the highest accuracy among all model and input data combinations. The improvement in accuracy of PW and AOD input data through calibration is relatively more important than the choice of clear sky model.
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Authors
Xiaohui Zhong, Jan Kleissl,