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粤港澳大湾区汛期降水的多模式集成预报方法的评估检验

朱鹏程 王东海 曾智琳 孙磊 李智丽 资桂

热带气象学报2024,Vol.40Issue(2):258-271,14.
热带气象学报2024,Vol.40Issue(2):258-271,14.DOI:10.16032/j.issn.1004-4965.2024.025

粤港澳大湾区汛期降水的多模式集成预报方法的评估检验

Evaluation of Multi-model Integrated Forecast Method for Precipitation in Rainy Seasons of Guangdong-Hong Kong-Macao Greater Bay Area

朱鹏程 1王东海 2曾智琳 2孙磊 3李智丽 3资桂3

作者信息

  • 1. 中山大学大气科学学院/广东省气候变化与自然灾害研究重点实验室/热带海洋系统科学教育部重点实验室,广东 珠海 519082||南方海洋科学与工程广东省实验室(珠海),广东 珠海 519082||澳门海岸带生态环境国家野外科学观测研究站/澳门科技大学澳门环境研究院,澳门 999078||珠海市公共气象服务中心,广东 珠海 519000
  • 2. 中山大学大气科学学院/广东省气候变化与自然灾害研究重点实验室/热带海洋系统科学教育部重点实验室,广东 珠海 519082||南方海洋科学与工程广东省实验室(珠海),广东 珠海 519082||澳门海岸带生态环境国家野外科学观测研究站/澳门科技大学澳门环境研究院,澳门 999078
  • 3. 珠海市公共气象服务中心,广东 珠海 519000
  • 折叠

摘要

Abstract

This study evaluated the precipitation forecasts in the Guangdong-Hong Kong-Macao Greater Bay Area during the 2018 South China rainy seasons(April to September)using data from the THORPEX Interactive Grand Global Ensemble dataset.The dataset comprised deterministic forecasts,ensemble forecasts,and ground precipitation observations from models of five organizations:the European Centre for Medium-Range Weather Forecasts,the China Meteorological Administration,the Japan Meteorological Agency,the National Centers for Environmental Prediction of the United States,and the UK Meteorological Office.Three multi-model integrated forecast methods,namely the multi-model ensemble average(EMN),the bias-removed ensemble average(BREM),and the sliding training period superensemble method(R_SUP),were employed for the evaluation.The results showed that,in general,the root mean square error of precipitation forecasts in the first rainy season of the Guangdong-Hong Kong-Macao Greater Bay Area was higher than that in the second rainy season,with an average difference of 2 mm.The forecasting ability of the multi-mode integrated forecasting method showed a continuous and stable decline trend in the first rainy season as the forecast lead time increased.In contrast,in the second rainy season,it showed a stable decline in the short term(24~72 hours)and remained stable in the medium term(72~168 hours).EMN,which has a relatively simple mathematical principle,showed the best comprehensive performance in the precipitation forecast of the two rainy seasons.BREM and R_SUP achieved slightly lower spatial average scores,but they still demonstrated good forecasting skills in predicting precipitation areas.

关键词

粤港澳大湾区/多模式集成预报/评估检验

Key words

Guangdong-Hong Kong-Macao Greater Bay Area/multi-model integrated forecast/evaluation

分类

天文与地球科学

引用本文复制引用

朱鹏程,王东海,曾智琳,孙磊,李智丽,资桂..粤港澳大湾区汛期降水的多模式集成预报方法的评估检验[J].热带气象学报,2024,40(2):258-271,14.

基金项目

国家重点研发计划(2019YFC1510400) (2019YFC1510400)

广东省基础与应用基础研究重大项目(2020B0301030004)共同资助 (2020B0301030004)

热带气象学报

OA北大核心CSTPCD

1004-4965

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