基于WRF模式的中长期风速预报及订正研究

张富强; 金春伟; 周胡; 陆艳艳; 杨树峰; 聂高臻

doi:doi:10.19912/j.0254-0096.tynxb.2024-1591

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基于WRF模式的中长期风速预报及订正研究

更新时间：2026-02-06

- 基于WRF模式的中长期风速预报及订正研究
- Vol. 47, Issue 1, Pages: 585-592(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1591
  CLC： TM614
- Online First：05 February 2026，
  
  Published：05 February 2026
- 稿件说明：
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张富强, 金春伟, 周胡, et al. 基于WRF模式的中长期风速预报及订正研究[J]. 2026, 47(1): 585-592.
DOI：

张富强, 金春伟, 周胡, et al. 基于WRF模式的中长期风速预报及订正研究[J]. 2026, 47(1): 585-592. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1591.

摘要

采用5种参数化方案对中国东部沿海地区春夏季10 m风速进行预报

基于最优方案预报风速及相应观测风速构建随机森林订正模型

并用地面实况观测数据对预报模型进行检验。结果表明

各方案对10 m风速的模拟效果相似

且模拟风速均大于观测风速

参数化方案P5对研究区域10 m风速的预报效果最好

风速预报准确率最高

为38%。经随机森林订正后

风速预报准确率提升至53%

订正效果显著

且对内陆地区的订正效果优于近海地区。

Abstract

The mid-long term prediction of wind speed plays an important support for wind power generation and dispatching. Due to the highly variable and gusty characteristics of wind speed

exploring methods to improve wind speed forecasts has important practical significance. In this research

five parameterization schemes were used to predict the 10 m wind speed in spring and summer in the coastal areas of eastern China. A random-forest-based correction model was constructed based on the wind speed predicted by the optimal scheme and the corresponding observed wind speed. The results show that the performance of each WRF experiment on predicting the 10 m wind speed are close

and the simulated wind speed is greater than the observed wind speed. The P5 parameterization scheme yields the best performance for the 10 m wind speed prediction over the study area

with the highest wind speed prediction accuracy of 38%. After corrected by the random forest model

the wind speed prediction accuracy is increased to 53%

indicating that the correction effect is significant. Moreover

the correction improves more over the inland regions than over the offshore areas.

关键词

Keywords

references

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