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September 10, 2025Climate1 citationsOpen Access

Bias Correction Methodologies to Enhance Wind Speed Predictions in Shanxi, China

Challenge and Bias Correction for Surface Wind Speed Prediction: A Case Study in Shanxi Province, China

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This analysis compares bias correction techniques for improving wind speed predictions in Shanxi, indicating QR50 outperforms others.

Model errors persist, particularly overestimating low wind speeds and underestimating high ones, impacting accuracy.
QR50 correction method notably reduced the mean RMSE by 11% in October 2023 and 10% in February 2024.
Using observational data from nine wind towers, the analysis covers model forecasts across various lead times.
These results emphasize the effectiveness of regression-based bias corrections, highlighting their importance under high RMSE conditions.

Guo et al. (2025) studied this question.

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September 10, 2025Climate1 citationsOpen Access

Challenge and Bias Correction for Surface Wind Speed Prediction: A Case Study in Shanxi Province, China

View Full Paper

Ask AI

Bookmark

Authors

This analysis compares bias correction techniques for improving wind speed predictions in Shanxi, indicating QR50 outperforms others.

Model errors persist, particularly overestimating low wind speeds and underestimating high ones, impacting accuracy.
QR50 correction method notably reduced the mean RMSE by 11% in October 2023 and 10% in February 2024.
Using observational data from nine wind towers, the analysis covers model forecasts across various lead times.
These results emphasize the effectiveness of regression-based bias corrections, highlighting their importance under high RMSE conditions.

Guo et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark