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Correction of Extreme Wind Speed Forecasts Using Ensemble Learning over Typical Gale Areas in Xinjiang, China

The complex terrain of Xinjiang generates frequent extreme winds, endangering transportation safety. Numerical forecasts along transportation routes suffer from systematic biases stemming from limited observational data and terrain-amplification effects. Using observations from representative ...
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researchsquare.com broke the news on Thursday, May 14, 2026.
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