Improving ERA5 maritime gust forecasts in East China using objective synoptic weather classification and random forest models

The ERA5 gust reanalysis data is crucial for offshore wind resources assessment, but its weather-dependent biases cannot be adequately captured by existing correction models. To address the issue, this study used the objective weather classification method to classify synoptic weather patterns (SWPs...

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Hlavní autoři:	Zhengqi Lu, Lili Kang, Cheng Yang, Ziqi Jin, Shuxian Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2025-12-01
Edice:	Geomatics, Natural Hazards & Risk
Témata:	Wind gust random forest model objective synoptic classification ERA5 East China
On-line přístup:	https://www.tandfonline.com/doi/10.1080/19475705.2025.2564362
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