An artificial intelligence reconstruction of global gridded surface winds

Gridded wind speed data products with global coverage and continuous long-term time series are widely used in many applications, such as evaluating wind energy potential [1] and drought processes [2]. However, some available products do not accurately reproduce observed wind speed trends on land [3], [4], leading to biased or inaccurate conclusions in studies on wind-related phenomena. In-situ weather stations involve direct measurements that accurately preserve wind speed trends. Still, the uneven distribution and incomplete time series have constrained their widespread applications in regional and global analyses. These limitations, which we have encountered firsthand in investigating the global wind stilling and reversal phenomena [4], have inspired us to create a new global gridded surface wind product that preserves observed wind patterns and trends.

Bibliographic Details

Main Authors:	Zhou, Lihong, Liu, Haofeng, Jiang, Xin, Ziegler, Alan D., Azorín-Molina, César, Liu, Jiang, Zeng, Zhenzhong
Other Authors:	National Natural Science Foundation of China
Format:	artículo biblioteca
Published:	Elsevier 2022
Online Access:	http://hdl.handle.net/10261/287670 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100001809 http://dx.doi.org/10.13039/501100003359
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