Comparative Analysis of Global Solar Radiation Models in Different Regions of China
Item
Title (Dublin Core)
Comparative Analysis of Global Solar Radiation Models in Different Regions of China
Description (Dublin Core)
Complete and accurate global solar radiation (Rs) data at a specific region are crucial for regional climate assessment and crop growth modeling. The objective of this paper was to evaluate the capability of 12 solar radiation models based on meteorological data obtained from 21 meteorological stations in China. The results showed that the estimated and measured daily Rs had statistically significant correlations (P<0.01) for all the 12 models in 7 subzones of China. The Bahel model showed the best performance for daily Rs estimation among the sunshine-based models, with average R2 of 0.910, average RMSE of 2.306 MJ m−2 d−1, average RRMSE of 17.3%, average MAE of 1.724 MJ m−2 d−1, and average NS of 0.895, respectively. The Bristow-Campbell (BC) model showed the best performance among the temperature-based models, with average R2 of 0.710, average RMSE of 3.952 MJ m−2 d−1, average RRMSE of 29.5%, average MAE of 2.958 MJ m−2 d−1, and average NS of 0.696, respectively. On monthly scale, Ögelman model showed the best performance among the sunshine-based models, with average RE of 5.66%. The BC model showed the best performance among the temperature-based models, with average RE of 8.26%. Generally, the sunshine-based models were more accurate than the temperature-based models. Overall, the Bahel model is recommended to estimate daily Rs, Ögelman model is recommended to estimate monthly average daily Rs in China when the sunshine duration is available, and the BC model is recommended to estimate both daily Rs and monthly average daily Rs when only temperature data are available.
Creator (Dublin Core)
Qingwen Zhang
Ningbo Cui
Yu Feng
Yue Jia
Zhuo Li
Daozhi Gong
Subject (Dublin Core)
Meteorology. Climatology
QC851-999
Publisher (Dublin Core)
Hindawi Limited
Date (Dublin Core)
2018-01-01T00:00:00Z
Type (Dublin Core)
article
Identifier (Dublin Core)
1687-9309
1687-9317
10.1155/2018/3894831
https://doaj.org/article/46bdfadf04894611af570f883ef13289
Source (Dublin Core)
Advances in Meteorology, Vol 2018 (2018)
Language (Dublin Core)
EN
Relation (Dublin Core)
http://dx.doi.org/10.1155/2018/3894831
https://doaj.org/toc/1687-9309
https://doaj.org/toc/1687-9317
Provenance (Dublin Core)
Journal Licence: CC BY