화학공학소재연구정보센터
Applied Energy, Vol.107, 384-393, 2013
Estimating the daily global solar radiation spatial distribution from diurnal temperature ranges over the Tibetan Plateau in China
Daily global solar radiation is fundamental to most ecological and biophysical processes because it plays a key role in the local and global energy budget. However, gridded information about the spatial distribution of solar radiation is limited. This study aims to parameterise the Bristow-Campbell model for the daily global solar radiation estimation in the Tibetan Plateau and propose a method to rasterise the daily global solar radiation. Observed daily solar radiation and diurnal temperature data from eleven stations over the Tibetan Plateau during 1971-2010 were used to calibrate and validate the Bristow-Campbell radiation model. The extra-terrestrial radiation and clear sky atmospheric transmittance were calculated on a Geographic Information System (GIS) platform. Results show that the Bristow-Campbell model performs well after adjusting the parameters, the average Pearson's correlation coefficients (r), Nash-Sutcliffe equation (NSE), ratio of the root mean square error to the standard deviation of measured data (RSR), and root mean-square error (RMSE) of 11 stations are 0.85, 2.81 MJ m(-2) day(-1), 0.3 and 0.77 respectively. Gridded maximum and minimum average temperature data were obtained using Parameter-elevation Regressions on Independent Slopes Model (PRISM) and validated by the Chinese Ecosystem Research Network (CERN) stations' data. The spatial daily global solar radiation distribution pattern was estimated and analysed by combining the solar radiation model (Bristow-Campbell model) and meteorological interpolation model (PRISM). Based on the overall results, it can be concluded that a calibrated Bristow-Campbell performs well for the Tibetan Plateau and can provide reasonably accurate global solar radiation estimates. The Bristow-Campbell radiation model coupled with the PRISM is effective in rasterising global solar radiation. (C) 2013 Elsevier Ltd. All rights reserved.