Projected near-surface wind speed and wind energy over Central Asia using dynamical downscaling with bias-corrected global climate models

Wind energy development in Central Asia can help alleviate drought and fragile ecosystems. Nevertheless, current studies mainly used the global climate models (GCMs) to project wind speed and energy. The simulated biases in GCMs remain prominent, which induce a large uncertainty in the projected res...

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Автори:	Jin-Lin Zha, Ting Chuan, Yuan Qiu, Jian Wu, De-Ming Zhao, Wen-Xuan Fan, Yan-Jun Lyu, Hui-Ping Jiang, Kai-Qiang Deng, Miguel Andres-Martin, Cesar Azorin-Molina, Deliang Chen
Формат:	Artigo
Мова:	Inglês
Опубліковано:	KeAi Communications Co., Ltd. 2024-08-01
Серія:	Advances in Climate Change Research
Предмети:	Near-surface wind speed Wind power density Dynamical downscaling Central Asia WRF
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S1674927824001072
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