Reconstruction of Near‐Surface Hourly Wind Speed Data Sets During the Period 1959–2021 Over China

Reconstruction of Near‐Surface Hourly Wind Speed Data Sets During the Period 1959–2021 Over China

Abstract The reconstruction models of hourly 10‐m wind speeds were developed for each of 2384 stations over China using stepwise regression, random forest and XGBoost machine learning approaches based on hourly observed and ERA5 reanalysis data from 2005 to 2021. The reconstruction procedures applie...

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Bibliographic Details
Main Authors: Chad Shouquan Cheng, Shufeng Yang, Jian Zhu, Tao Yang, Gaozhen Nie, Jian Tang, Yanyan Lu
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-11-01
Series:Earth and Space Science
Subjects:
hourly wind speed reconstruction
machine learning
stepwise regression
homogenous wind speed data
China
Online Access:https://doi.org/10.1029/2023EA003295

Internet

https://doi.org/10.1029/2023EA003295

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