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"23·7"华北特大暴雨数值预报检验评估

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针对"23·7"华北特大暴雨过程,采用天气学检验及TS(threat score)评分和MODE(method for object-based diagnostic evaluation)方法对中国气象局高分辨率全球同化预报系统(CMA-GFS)、较低分辨率全球集合预报系统(CMA-EPS)、欧洲中期数值预报中心集合预报系统(EC-EPS)和业务预报模式(EC-HR)、美国环境预报中心全球预报系统(NCEP-GFS)等全球模式和中国气象局区域台风数值预报系统(CMA-TYM)、中尺度天气数值预报系统(CMA-MESO)和区域数值预报系统(CMA-BJ)等进行中短期预报效果检验评估.结果表明:EC-EPS提前14 d预报京津冀一带有过程累积降水量超过100 mm强降水的发生概率,CMA-EPS可提前12 d报出,但预报欠稳定且落区偏东偏南.EC-HR对100 mm以上过程累积降水量及2 d以上暴雨日的位置预报提前时效均达8 d左右,CMA-GFS的过程累积降水量预报显著偏小、强降水落区明显偏东,可用预报时效短;NCEP-GFS预报性能介于二者之间.各模式均可提前36 h预报强降水落区和强度的变化趋势,中尺度模式可更加精细地刻画其形态和位置分布,尤以CMA-BJ为佳,但其预报偏强,其余模式不同程度偏弱,其中CMA-GFS显著偏弱.EC-HR提前8 d预报关键影响系统发生发展,但低层倒槽位置偏西偏北,低空急流偏弱,低估了地形对强降水的增幅作用,是太行山东麓降水量预报偏弱的重要原因之一.整体上,EC-EPS、EC-HR的提前时效和稳定性,以及CMA-BJ的落区形态和强度预报等对预报业务有较高参考价值.
Verification and Assessment of"23·7"Severe Rainstorm Numerical Prediction in North China
During the severe rainstorm in North China from 31 July to 1 August in 2023,CMA-GFS,CMA-EPS,EC-EPS,EC-HR,NCEP-GFS,CMA-TYM,CMA-MESO,and CMA-BJ are tested and evaluated using synoptic verification,threat score(TS),and MODE(method for object-based diagnostic evaluatin).The persistence and intensity of long-term heavy rainfall,as well as the area and intensity of short-term heavy rainfall,are tested and analyzed for their effectiveness over time.Results indicate that the cumula-tive precipitation predicted by EC-EPS may exceed 100 mm for 14 days in advance,but there is no predic-tion ability for extreme heavy precipitation above 600 mm.EC-HR forecast for the location of precipitati-on is generally accurate up to 8 days in advance.In the short term,the daily precipitation intensity forecast by CMA-BJ closely matches the actual situation,indicating its significance in predicting precipitation ex-tremes.The average and maximum precipitation values of CMA-GFS,EC-HR,and NCEP-GFS in the are-as with concentrated heavy precipitation are lower than actual values.CMA-GFS doesn't perform very well while EC-HR is closer to the actual situation.CMA-GFS,EC-HR,and NCEP-GFS models all pro-vide inadequate forecasts for the persistence of heavy rainfall.However,EC-HR has a relative advantage in predicting persistent precipitation 8 days in advance.TS of CMA-BJ is highest for precipitation fore-casts above 50 mm and 100 mm.EC-HR and CMA-TYM precipitation forecasts above 50 mm are relative-ly stable.From the daily MODE results of the precipitation concentration period from 29 July to 31 July,it is evident that EC-HR exhibits a northward predictive characteristic,while the prediction of CMA-BJ is slightly southward.The forecasting ability of CMA-GFS is insufficient,and forecasts from NCEP-GFS and CMA-MESO are not stable.The high-pressure system in North China has a significant impact on the precipitation.EC-HR model forecasts the formation and reinforcement of a 500 hPa high-pressure system 3 to 4 days earlier than CMA-GFS and NCEP-GFS models.It also surpasses both in predicting the precise location and strength of intense precipitation.Additionally,EC-HR model predicts the emergence of a 925 hPa low-pressure trough and a low-level jet 7 days in advance.However,it underestimates the intensi-ty of the trough and jet system,with the actual location being to the west to north.CMA-GFS and NCEP-GFS underestimate the impact of the Taihang Mountains on easterly winds,leading to significantly lower precipitation forecasts.The analysis of the deviation in the 36 h precipitation forecast for 30 July also shows that EC-HR has weak predictions for low-level wind fields,trough positions,and convective precip-itation,resulting in a weak intensity of heavy precipitation and a west-north precipitation area.

North China severe rainstormnumerical modelsynoptic verificationverificationTSMODE

张博、张芳华、李晓兰、胡艺

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国家气象中心,北京 100081

中国气象局水文气象重点开放实验室,北京 100081

华北特大暴雨 数值模式 天气学检验 TS评分 MODE检验

国家重点研发计划国家自然科学基金项目国家自然科学基金项目国家自然科学基金项目

2022YFC300390542230612U2142214U2142207

2024

应用气象学报
中国气象科学研究院 国家气象中心 国家卫星气象中心 国家气候中心 国家气象信息中心 中国气象局气象探测中心

应用气象学报

CSTPCD北大核心
影响因子:1.459
ISSN:1001-7313
年,卷(期):2024.35(1)
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