Comparative Analysis of Global Solar Radiation Models in Different Regions of China
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 stati...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2018/3894831 |
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| author | Qingwen Zhang Ningbo Cui Yu Feng Yue Jia Zhuo Li Daozhi Gong |
| author_facet | Qingwen Zhang Ningbo Cui Yu Feng Yue Jia Zhuo Li Daozhi Gong |
| author_sort | Qingwen Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-46bdfadf04894611af570f883ef13289 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-46bdfadf04894611af570f883ef132892025-02-03T05:47:17ZengWileyAdvances in Meteorology1687-93091687-93172018-01-01201810.1155/2018/38948313894831Comparative Analysis of Global Solar Radiation Models in Different Regions of ChinaQingwen Zhang0Ningbo Cui1Yu Feng2Yue Jia3Zhuo Li4Daozhi Gong5State Key Laboratory of Hydraulics and Mountain River Engineering and College of Water Resource and Hydropower, Sichuan University, Chengdu, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering and College of Water Resource and Hydropower, Sichuan University, Chengdu, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering and College of Water Resource and Hydropower, Sichuan University, Chengdu, ChinaHebei University of Water Resources and Electric Engineering, Cangzhou, ChinaKey Laboratory of Water Saving Agriculture in Hill Areas in Southern China of Sichuan Province, Chengdu, ChinaState Engineering Laboratory of Efficient Water Use of Crops and Disaster Loss Mitigation/Key Laboratory for Dryland Agriculture, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, ChinaComplete 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.http://dx.doi.org/10.1155/2018/3894831 |
| spellingShingle | Qingwen Zhang Ningbo Cui Yu Feng Yue Jia Zhuo Li Daozhi Gong Comparative Analysis of Global Solar Radiation Models in Different Regions of China Advances in Meteorology |
| title | Comparative Analysis of Global Solar Radiation Models in Different Regions of China |
| title_full | Comparative Analysis of Global Solar Radiation Models in Different Regions of China |
| title_fullStr | Comparative Analysis of Global Solar Radiation Models in Different Regions of China |
| title_full_unstemmed | Comparative Analysis of Global Solar Radiation Models in Different Regions of China |
| title_short | Comparative Analysis of Global Solar Radiation Models in Different Regions of China |
| title_sort | comparative analysis of global solar radiation models in different regions of china |
| url | http://dx.doi.org/10.1155/2018/3894831 |
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