Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP
The assessment of wind energy resources is critical for the transition from fossil fuel to renewable energy sources. Using the outputs from high-resolution global climate models (GCMs), such as the High Resolution Model Intercomparison Project (HighResMIP) of the Coupled Model Intercomparison Projec...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/2073-4433/15/11/1323 |
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| author | Jianhong Jiang Yongjin Yu Yang Zhou Shimeng Qian Hao Deng Jianning Tao Wei Hua |
| author_facet | Jianhong Jiang Yongjin Yu Yang Zhou Shimeng Qian Hao Deng Jianning Tao Wei Hua |
| author_sort | Jianhong Jiang |
| collection | DOAJ |
| description | The assessment of wind energy resources is critical for the transition from fossil fuel to renewable energy sources. Using the outputs from high-resolution global climate models (GCMs), such as the High Resolution Model Intercomparison Project (HighResMIP) of the Coupled Model Intercomparison Project Phase 6 (CMIP6), has become one of the most important tools in wind energy research. This study evaluated the reliability of the 22 GCMs available in the HighResMIP-PRIMAVERA project by simulating the wind energy climatology and variability over the Tibetan Plateau (TP) with reference to observations and investigated the differences in performance of the GCMs between high-resolution (HR) and low-resolution (LR) simulations. The results show that most models performed relatively well in simulating the probability distribution of the observed wind speed over the TP, but nearly half of the models generally underestimated the wind speed, whereas the others tended to overestimated the wind speed. Compared with the wind speed, the GCMs showed larger biases in reproducing the wind power density (WPD) and other wind energy resources, whereas the biases in multi-model ensembles were relatively smaller than those in most individual models. With respect to interannual variability, both the HR and LR models failed to capture interannual variations in WPD over the TP. Furthermore, more than half of the HR GCMs had a reduced bias relative to the corresponding LR GCMs, indicating the good performance of most HR models in simulating wind energy resources over the TP in terms of spatial pattern and temporal variability. However, the overall performance of HR GCMs varied among models, which suggests that solely improving the horizontal resolution is not sufficient to completely solve the uncertainties and deficiencies in the simulation of wind energy over complex terrain. |
| format | Article |
| id | doaj-art-8a8768de0aa94d8a91f494309326d29c |
| institution | Kabale University |
| issn | 2073-4433 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-8a8768de0aa94d8a91f494309326d29c2024-11-26T17:50:22ZengMDPI AGAtmosphere2073-44332024-11-011511132310.3390/atmos15111323Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIPJianhong Jiang0Yongjin Yu1Yang Zhou2Shimeng Qian3Hao Deng4Jianning Tao5Wei Hua6Chengdu Engineering Corporation Limited, Power Construction Corporation of China, Chengdu 610095, ChinaChengdu Engineering Corporation Limited, Power Construction Corporation of China, Chengdu 610095, ChinaChengdu Engineering Corporation Limited, Power Construction Corporation of China, Chengdu 610095, ChinaChengdu Engineering Corporation Limited, Power Construction Corporation of China, Chengdu 610095, ChinaSchool of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, ChinaSchool of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, ChinaSchool of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, ChinaThe assessment of wind energy resources is critical for the transition from fossil fuel to renewable energy sources. Using the outputs from high-resolution global climate models (GCMs), such as the High Resolution Model Intercomparison Project (HighResMIP) of the Coupled Model Intercomparison Project Phase 6 (CMIP6), has become one of the most important tools in wind energy research. This study evaluated the reliability of the 22 GCMs available in the HighResMIP-PRIMAVERA project by simulating the wind energy climatology and variability over the Tibetan Plateau (TP) with reference to observations and investigated the differences in performance of the GCMs between high-resolution (HR) and low-resolution (LR) simulations. The results show that most models performed relatively well in simulating the probability distribution of the observed wind speed over the TP, but nearly half of the models generally underestimated the wind speed, whereas the others tended to overestimated the wind speed. Compared with the wind speed, the GCMs showed larger biases in reproducing the wind power density (WPD) and other wind energy resources, whereas the biases in multi-model ensembles were relatively smaller than those in most individual models. With respect to interannual variability, both the HR and LR models failed to capture interannual variations in WPD over the TP. Furthermore, more than half of the HR GCMs had a reduced bias relative to the corresponding LR GCMs, indicating the good performance of most HR models in simulating wind energy resources over the TP in terms of spatial pattern and temporal variability. However, the overall performance of HR GCMs varied among models, which suggests that solely improving the horizontal resolution is not sufficient to completely solve the uncertainties and deficiencies in the simulation of wind energy over complex terrain.https://www.mdpi.com/2073-4433/15/11/1323wind energymodel evaluationTibetan Plateauhigh-resolution |
| spellingShingle | Jianhong Jiang Yongjin Yu Yang Zhou Shimeng Qian Hao Deng Jianning Tao Wei Hua Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP Atmosphere wind energy model evaluation Tibetan Plateau high-resolution |
| title | Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP |
| title_full | Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP |
| title_fullStr | Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP |
| title_full_unstemmed | Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP |
| title_short | Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP |
| title_sort | influence of model resolution on wind energy simulations over tibetan plateau using cmip6 highresmip |
| topic | wind energy model evaluation Tibetan Plateau high-resolution |
| url | https://www.mdpi.com/2073-4433/15/11/1323 |
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