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CFSv2模式产品在汛期海南热带气旋频数预测模型中的应用

邢彩盈 吴慧 胡德强 吴胜安

气象科学2017,Vol.37Issue(5):666-672,7.
气象科学2017,Vol.37Issue(5):666-672,7.DOI:10.3969/2016jms.0064

CFSv2模式产品在汛期海南热带气旋频数预测模型中的应用

Application of CFSv2 products in tropical cyclone frequency prediction model in Hainan during flood season

邢彩盈 1吴慧 2胡德强 1吴胜安2

作者信息

  • 1. 海南省气候中心,海口570203
  • 2. 海南省南海气象防灾减灾重点实验室,海口570203
  • 折叠

摘要

Abstract

Based on the Tropical Cyclone (TC) frequency data during flood seasons in Hainan,NCEP/NCAR monthly reanalysis data and CFSv2 model historical return data,the characteristics of TC frequency and the corresponding atmospheric circulation were analyzed,moreover,the TC frequency prediction model was built based on the effective information of CFSv2 by using stepwise regression.Results show that TC frequency anomaly during flood seasons in Hainan is closely related to the large scale circulation during the corresponding period,and CFSv2 model has a great prediction skill on the key influence areas of circulation fields,including sea level pressure,geopotential height field at 500 hPa,low level wind field from the South China Sea to tropical Pacific,and zonal wind shear in the tropical Pacific.On these grounds,the correlation of TC frequency prediction model between observation and prediction of 26 years cross-validation is 0.88,and the rate of same anomalies between them reaches 88%;there are only two years that the predicted anomaly is contrary to the observed one in six years predictive testing.It can see that the prediction model has a good stability and prediction skill,which can provide effective basis for the TC frequency prediction of Hainan during flood seasons.

关键词

汛期/热带气旋频数/CFSv2模式/预测模型/海南省

Key words

Flood season/Tropical cyclone frequency/CFSv2/Forecast model/Hainan province

分类

天文与地球科学

引用本文复制引用

邢彩盈,吴慧,胡德强,吴胜安..CFSv2模式产品在汛期海南热带气旋频数预测模型中的应用[J].气象科学,2017,37(5):666-672,7.

基金项目

中国气象局气象关键技术集成与应用项目(CMAGJ2013M39) (CMAGJ2013M39)

海南省气象局科研项目(HNQXZD201402) (HNQXZD201402)

海南省气象局面上项目(HNQXMS201403) (HNQXMS201403)

气象科学

OA北大核心CSTPCD

1009-0827

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