Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer

Subseasonal-to-seasonal (S2S) prediction is a highly regarded skill around the world. To improve the S2S forecast skill, an S2S prediction project and an extensive database have been established. In this study, the European Center for Medium-Range Weather Forecasts (ECMWF) model hindcast, which part...

Full description

Bibliographic Details
Main Authors: Huanran He, Suxiang Yao, Anning Huang, Kejian Gong
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2020/1920841
id doaj-8cf0dce2650647d0840a2a6112a4e5a0
record_format Article
spelling doaj-8cf0dce2650647d0840a2a6112a4e5a02020-11-25T01:54:15ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/19208411920841Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during SummerHuanran He0Suxiang Yao1Anning Huang2Kejian Gong3Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaMeteorological Observatory of Ningxia Civil Aviation ATC, Ningxia 750000, ChinaSubseasonal-to-seasonal (S2S) prediction is a highly regarded skill around the world. To improve the S2S forecast skill, an S2S prediction project and an extensive database have been established. In this study, the European Center for Medium-Range Weather Forecasts (ECMWF) model hindcast, which participates in the S2S prediction project, is systematically assessed by focusing on the hindcast quality for the summer accumulated ten-day precipitation at lead times of 0–30 days during 1995–2014 in eastern China. Additionally, the hindcast error is corrected by utilizing the preceding sea surface temperature (SST). The metrics employed to measure the ECMWF hindcast performance indicate that the ECMWF model performance drops as the lead time increases and exhibits strong interannual differences among the five subregions of eastern China. In addition, the precipitation forecast skill of the ECMWF hindcast is best at approximately 15 days in some areas of Southeast China; after correcting the forecast error, the forecast skill is increased to 30 days. At lead times of 0–30 days, regardless of whether the forecast error is corrected, the root mean square errors are lowest in Northeast China. After correcting the forecast error, the performance of the ECMWF hindcast shows better improvement in depicting the quantity and temporal and spatial variation of precipitation at lead times of 0–30 days in eastern China. The false alarm ratio (FAR), probability of detection (POD), and equitable threat score (ETS) reveal that the ECMWF model has a preferable performance at forecasting accumulated ten-day precipitation rates of approximately 20∼50 mm and indicates an improved hindcast quality after the forecast error correction. In short, adopting the preceding SST to correct the summer subseasonal precipitation of the ECMWF hindcast is preferable.http://dx.doi.org/10.1155/2020/1920841
collection DOAJ
language English
format Article
sources DOAJ
author Huanran He
Suxiang Yao
Anning Huang
Kejian Gong
spellingShingle Huanran He
Suxiang Yao
Anning Huang
Kejian Gong
Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer
Advances in Meteorology
author_facet Huanran He
Suxiang Yao
Anning Huang
Kejian Gong
author_sort Huanran He
title Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer
title_short Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer
title_full Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer
title_fullStr Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer
title_full_unstemmed Evaluation and Error Correction of the ECMWF Subseasonal Precipitation Forecast over Eastern China during Summer
title_sort evaluation and error correction of the ecmwf subseasonal precipitation forecast over eastern china during summer
publisher Hindawi Limited
series Advances in Meteorology
issn 1687-9309
1687-9317
publishDate 2020-01-01
description Subseasonal-to-seasonal (S2S) prediction is a highly regarded skill around the world. To improve the S2S forecast skill, an S2S prediction project and an extensive database have been established. In this study, the European Center for Medium-Range Weather Forecasts (ECMWF) model hindcast, which participates in the S2S prediction project, is systematically assessed by focusing on the hindcast quality for the summer accumulated ten-day precipitation at lead times of 0–30 days during 1995–2014 in eastern China. Additionally, the hindcast error is corrected by utilizing the preceding sea surface temperature (SST). The metrics employed to measure the ECMWF hindcast performance indicate that the ECMWF model performance drops as the lead time increases and exhibits strong interannual differences among the five subregions of eastern China. In addition, the precipitation forecast skill of the ECMWF hindcast is best at approximately 15 days in some areas of Southeast China; after correcting the forecast error, the forecast skill is increased to 30 days. At lead times of 0–30 days, regardless of whether the forecast error is corrected, the root mean square errors are lowest in Northeast China. After correcting the forecast error, the performance of the ECMWF hindcast shows better improvement in depicting the quantity and temporal and spatial variation of precipitation at lead times of 0–30 days in eastern China. The false alarm ratio (FAR), probability of detection (POD), and equitable threat score (ETS) reveal that the ECMWF model has a preferable performance at forecasting accumulated ten-day precipitation rates of approximately 20∼50 mm and indicates an improved hindcast quality after the forecast error correction. In short, adopting the preceding SST to correct the summer subseasonal precipitation of the ECMWF hindcast is preferable.
url http://dx.doi.org/10.1155/2020/1920841
work_keys_str_mv AT huanranhe evaluationanderrorcorrectionoftheecmwfsubseasonalprecipitationforecastovereasternchinaduringsummer
AT suxiangyao evaluationanderrorcorrectionoftheecmwfsubseasonalprecipitationforecastovereasternchinaduringsummer
AT anninghuang evaluationanderrorcorrectionoftheecmwfsubseasonalprecipitationforecastovereasternchinaduringsummer
AT kejiangong evaluationanderrorcorrectionoftheecmwfsubseasonalprecipitationforecastovereasternchinaduringsummer
_version_ 1715633459454541824