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.

This work was supported by the National Natural Science Foundation of China (42071022), the start-up fund provided by Southern University of Science and Technology (29/Y01296122), and Highlight Project on Water Security and Global Change of Southern University of Science and Technology (G02296302). Cesar Azorin-Molina was supported by Evaluación y atribución de la variabilidad de la velocidad media y las rachas máximas de viento: causas del fenómeno stilling (RTI2018-095749-A-100), Cambios observados, proyecciones futuras e índices de la velocidad del viento y sus extremos en la Comunidad Valenciana (AICO/2021/023), and the Spanish National Research Centre Interdisciplinary Thematic Platform PTI-CLIMA. We thank Met Office (HadISD), ECMWF (ERA5), and CMIP6 for providing wind speed data used in this work.