Spatiotemporal clustering of near-surface wind speed and identification of potential for low-wind-speed resources in Xinjiang, China (2013–2022)

Mastering the intricate spatiotemporal distribution patterns of near-surface wind speed (SWS) holds profound significance for the advancement of regional wind energy resources. To provide theoretical support for the development of low-wind-speed wind power in Xinjiang, this study explored the spatio...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ailiyaer Aihaiti, Junjian Liu, Ali Mamtimin, Yu Wang, Shunyu Yao, Haotong Liu, Yanbo Shen, Zonghui Liu, Jiacheng Gao, Meiqi Song, Cong Wen, Yisilamu Wulayin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-07-01
Schriftenreihe:	Frontiers in Earth Science
Schlagworte:	near-surface wind speed EOF decomposition wind classification regional wind resource Siberian high
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/feart.2026.1873537/full
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