| Autor: |
Jia Wu, Zhen-Yu Han, Yu-Ping Yan, Chao-Yang Sun, Ying Xu, Ying Shi |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Advances in Climate Change Research, Vol 12, Iss 4, Pp 596-610 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1674-9278 |
| DOI: |
10.1016/j.accre.2021.06.005 |
| Popis: |
To provide a scientific basis for the policies for the development of wind energy and towards the goal of carbon neutrality in China and local governments, changes in wind energy potential over China were investigated based on the bias-corrected ensemble mean (CENS) of high-resolution dynamical downscaling projections using the RCP2.6, RCP4.5 and RCP8.5 emission scenarios. Firstly, evaluation indicated that CENS could better reproduce the long-term mean and interannual variability of surface wind speed over China compared to the original simulation outputs, providing a reliable basis for future projections. Projection of the averaged wind power density of China showed a decreasing trend during 2020–2099 in all four seasons under all three scenarios, with the significant (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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