| 注册
首页|期刊导航|气象|强风事件识别及预报订正方法研究

强风事件识别及预报订正方法研究

韩乐琼 何晓凤 张雪松 肖擎曜 陈笑

气象2023,Vol.49Issue(12):1542-1552,11.
气象2023,Vol.49Issue(12):1542-1552,11.DOI:10.7519/j.issn.1000-0526.2023.051501

强风事件识别及预报订正方法研究

Study of Approach in Identification and Modification of Gale Event Forecast

韩乐琼 1何晓凤 2张雪松 3肖擎曜 1陈笑1

作者信息

  • 1. 北京玖天气象科技有限公司,北京 100081||华风气象传媒集团,北京 100081
  • 2. 华风气象传媒集团,北京 100081
  • 3. 中广核风电有限公司,北京 100070
  • 折叠

摘要

Abstract

Based on the wind speed observation data of Marine Booster Station in Rudong Wind Farm,this paper proposes a method of identifying gale event.Three identification schemes of gale event forecast are developed and compared through the determination of the crucial parameters.Then,based on the decision tree method and a single linear regression method,the correction methods for gale events are studied.The results show that the gale event forecast of equal cumulative frequency scheme is superior to other schemes,having the hit rate of 76.1%and the hit rate of matching duration of 87.6%.The duration of gale event forecast of eliminating deviation and equal cumulative frequency schemes are more in agreement with the observation data.Besides,the equal cumulative frequency scheme can cover the duration of every observation gale event,so it is good for proposing the beginning and end time of gale warning.The above-mentioned two correction methods can improve the forecast performance to a certain extent.However,the improvement done by the decision tree method is more obvious,for it can significantly reduce the MAE,RE,RMSE.

关键词

强风事件/数值预报/订正/决策树/一元线性回归

Key words

gale event/numerical weather prediction(NWP)/correction/decision tree/a single linear re-gression

分类

大气科学

引用本文复制引用

韩乐琼,何晓凤,张雪松,肖擎曜,陈笑..强风事件识别及预报订正方法研究[J].气象,2023,49(12):1542-1552,11.

基金项目

国家自然科学基金面上项目(41875123)、国家重点研发计划(2018YFC1507603)、中国气象科学研究院基本科研业务费重点项目(2020Z006)、第二次青藏高原综合科学考察研究项目(2019QZKK0105)和云南省科技厅科技计划项目(202305AM070004)共同资助 (41875123)

气象

OA北大核心CSCDCSTPCD

1000-0526

访问量0
|
下载量0
段落导航相关论文