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基于CMA-GEPS的延伸期预报能力评估

齐倩倩 朱跃建 陈静 李晓莉 田华 汪叶

热带气象学报2024,Vol.40Issue(4):557-572,16.
热带气象学报2024,Vol.40Issue(4):557-572,16.DOI:10.16032/j.issn.1004-4965.2024.050

基于CMA-GEPS的延伸期预报能力评估

Assessment of Extended-Range Prediction Capability Based on CMA-GEPS

齐倩倩 1朱跃建 2陈静 1李晓莉 1田华 1汪叶3

作者信息

  • 1. 中国气象局地球系统数值预报中心,北京 100081||灾害天气国家重点实验室,北京 100081||中国气象局地球系统数值预报重点开放实验室,北京 100081
  • 2. 美国国家海洋和大气管理局/国家气象局/国家环境预报中心/环境模式中心,美国马里兰州 20742
  • 3. 河南大学数学与统计学院,河南 开封 475004
  • 折叠

摘要

Abstract

This study assessed the extended-range prediction capability of the CMA-Global Ensemble Prediction System(CMA-GEPS).Using this system,we conducted 35-day ensemble prediction experiments and evaluated the forecast capability.Results showed that,at the geopotential height of 500hPa,the ACC skills of the extended-range ensemble prediction system were 9 days and 8.7 days in the northern and southern hemispheres,respectively.The ACC skills in the northern hemisphere exhibited a seasonal cycle with higher prediction skills in winter and lower skills in summer,reflecting the inherent atmospheric properties.Quantitative analysis of the spread-root mean square error(RMSE)skill relations revealed that the ensemble forecasting system was more predictive than deterministic prediction on the extended scale.The potential forecast days in the northern and southern hemispheres were 18 and 16 days,respectively.In terms of 2m temperature,CMA-GEPS effectively captured the spatial distribution characteristics of the temperature field on the extended period scale.Further analysis showed that prediction errors for 2m temperature mainly occurred in desert or plateau areas with significant thermal forcing effects.Additionally,CMA-GEPS demonstrated skillful forecasting of the Madden-Julian Oscillation(MJO)with a lead time of 15 days,outperforming other general circulation models.This suggested that CMA-GEPS has the potential to develop extended-range ensemble predictions further.Moreover,analyses revealed that the predicted intensity of MJO was weaker than the analyses,possibly due to a weak tropical convective system.The predicted propagation speed for the first 1-8 days was slightly faster,while the predicted propagation speed of the 9-35 days was slower compared to the analyses.CMA-GEPS effectively predicted the eastward and northward signals of MJO.Furthermore,the prediction of circulation signal propagation characteristics was better than that of convective signal,and MJO eastward propagation characteristics were better predicted than northward propagation.

关键词

CMA-GEPS/延伸期天气/集合预报/MJO/预报能力评估

Key words

CMA-GEPS/extended-range weather/ensemble prediction/MJO/assessment of prediction capability

分类

天文与地球科学

引用本文复制引用

齐倩倩,朱跃建,陈静,李晓莉,田华,汪叶..基于CMA-GEPS的延伸期预报能力评估[J].热带气象学报,2024,40(4):557-572,16.

基金项目

国家自然科学基金面上项目(42375152) (42375152)

国家自然科学基金青年基金项目(41906022、42105057) (41906022、42105057)

中国气象局地球系统数值预报中心青年基金(CEMC-QNJJ-2021005)共同资助 (CEMC-QNJJ-2021005)

热带气象学报

OA北大核心CSTPCD

1004-4965

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