Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province

The precipitation Extreme Forecast Index (EFI) derived from ECMWF global ensemble prediction system (EPS) from June 2016 to May 2017 is applied to evaluate the statistical relationship between the EFI and the severe precipitation as well as the climatic precipitation percentile in Zhejiang. Results...

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Main Authors: Liang FU, Yujing ZHANG, Ling LUO, Xiaofen LOU, Hao QIAN, Wenqiang SHEN
Format: Article
Language:zho
Published: Editorial Office of Torrential Rain and Disasters 2021-02-01
Series:暴雨灾害
Subjects:
Online Access:http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2021.01.009
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author Liang FU
Yujing ZHANG
Ling LUO
Xiaofen LOU
Hao QIAN
Wenqiang SHEN
author_facet Liang FU
Yujing ZHANG
Ling LUO
Xiaofen LOU
Hao QIAN
Wenqiang SHEN
author_sort Liang FU
collection DOAJ
description The precipitation Extreme Forecast Index (EFI) derived from ECMWF global ensemble prediction system (EPS) from June 2016 to May 2017 is applied to evaluate the statistical relationship between the EFI and the severe precipitation as well as the climatic precipitation percentile in Zhejiang. Results show that there is an obvious positive correlation between the EFI and the observed precipitation in Zhejiang. With the increase of the EFI threshold, the frequency of rainstorm increases at first and then decreases, and the probability of rainstorm increases with the increase of EFI threshold. With the increase of the EFI, the frequency of rainstorm increases at first and then decreases, while the probability of rainstorm increases with the increase of the EFI. Considering the TS and BS scores comprehensively, the threshold of the EFI decreases with the increase of forecast time length and increase with the increase of precipitation. There is a significant positive correlation between the EFI value and the climatic percentile of precipitation. The greater the EFI is, the higher the percentile is. Thus, the precipitation amount can be estimated according to the corresponding climatic percentile of the observed precipitation.
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spelling doaj.art-4954c0d5af3246eb832e6452d012e86f2023-07-06T04:31:34ZzhoEditorial Office of Torrential Rain and Disasters暴雨灾害2097-21642021-02-01401697710.3969/j.issn.1004-9045.2021.01.0092722Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang ProvinceLiang FU0Yujing ZHANG1Ling LUO2Xiaofen LOU3Hao QIAN4Wenqiang SHEN5Zhejiang Meteorological Observatory, Hangzhou 310017Hangzhou Meteorological Administration, Hangzhou 310051Zhejiang Meteorological Observatory, Hangzhou 310017Zhejiang Meteorological Observatory, Hangzhou 310017Zhejiang Meteorological Observatory, Hangzhou 310017Zhejiang Meteorological Observatory, Hangzhou 310017The precipitation Extreme Forecast Index (EFI) derived from ECMWF global ensemble prediction system (EPS) from June 2016 to May 2017 is applied to evaluate the statistical relationship between the EFI and the severe precipitation as well as the climatic precipitation percentile in Zhejiang. Results show that there is an obvious positive correlation between the EFI and the observed precipitation in Zhejiang. With the increase of the EFI threshold, the frequency of rainstorm increases at first and then decreases, and the probability of rainstorm increases with the increase of EFI threshold. With the increase of the EFI, the frequency of rainstorm increases at first and then decreases, while the probability of rainstorm increases with the increase of the EFI. Considering the TS and BS scores comprehensively, the threshold of the EFI decreases with the increase of forecast time length and increase with the increase of precipitation. There is a significant positive correlation between the EFI value and the climatic percentile of precipitation. The greater the EFI is, the higher the percentile is. Thus, the precipitation amount can be estimated according to the corresponding climatic percentile of the observed precipitation.http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2021.01.009ensemble forecastextreme forecast indexrainstormclimatic percentile
spellingShingle Liang FU
Yujing ZHANG
Ling LUO
Xiaofen LOU
Hao QIAN
Wenqiang SHEN
Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province
暴雨灾害
ensemble forecast
extreme forecast index
rainstorm
climatic percentile
title Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province
title_full Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province
title_fullStr Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province
title_full_unstemmed Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province
title_short Application assessment of precipitation extreme forecast index (EFI) from ECMWF in Zhejiang Province
title_sort application assessment of precipitation extreme forecast index efi from ecmwf in zhejiang province
topic ensemble forecast
extreme forecast index
rainstorm
climatic percentile
url http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2021.01.009
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