[1]李叶晴,任晓炜,邓悦.台风“三巴”期间多种降水融合实况产品适用性评估[J].气象研究与应用,2023,44(04):23-28.[doi:10.19849/j.cnki.CN45-1356/P.2023.4.04]
　LI Yeqing,REN Xiaowei,DENG Yue.Evaluation of the applicability of various Merged Precipitation Product during Typhoon “Sanba”[J].Journal of Meteorological Research and Application,2023,44(04):23-28.[doi:10.19849/j.cnki.CN45-1356/P.2023.4.04]
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台风“三巴”期间多种降水融合实况产品适用性评估()
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气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第44卷
期数:
2023年04期
页码:
23-28
栏目:
2023年广西极端降水
出版日期:
2023-12-15

文章信息/Info

Title:
Evaluation of the applicability of various Merged Precipitation Product during Typhoon “Sanba”
作者:
李叶晴;  任晓炜;  邓悦
广西壮族自治区气象信息中心, 南宁 530022
Author(s):
LI Yeqing;  REN Xiaowei;  DENG Yue
Guangxi Meteorological Information Center, Nanning 530022, China
关键词:
降水实况产品; 台风"三巴"; 评估检验
Keywords:
merge precipitation products; Typhoon "Samba"; quality assessment
分类号:
P426.616
DOI:
10.19849/j.cnki.CN45-1356/P.2023.4.04
摘要:
基于质量控制后的降水观测数据,利用多种指标对中国气象局多源降水融合分析系统的降水实时和近实时产品(CMPAS_RT、CMPAS_NRT)以及广西壮族自治区气象信息中心的降水实况产品(GXPAS)在台风"三巴"于广西过境期间极端暴雨过程进行评估,从时间、空间和降雨强度分析产品在极端天气下的适用性。结果表明:(1)三种实况产品与观测的一致性高,相关系数均超过0.98,平均误差的绝对值均低于0.2 mm,GXPAS在整体评估指标中表现最优。(2)时空分布上,三种实况产品均能较好地反映强降水落区和趋势分布,CMPAS在局地分布上比GXPAS更加精准。(3)0~40 mm区间的降水,三种产品的TS评分均高于0.9,降水频次分布与观测吻合度高;40~80 mm区间,CMPAS整体优于GXPAS;大于80 mm的降水,三者低估现象明显。总体而言,在此次过程中CMPAS对于强降水在大量级降水和细节刻画上比GXPAS更有优势。
Abstract:
Based on the hourly precipitation observation data after quality control, a variety of assessment indicators were used to evaluate the extreme rainstorm process of merged precipitation products (CMPAS_RT, CMPAS_NRT, GXPAS) during the transit of Typhoon "Sanba" in Guangxi and the applicability of the products in extreme weather was analyzed from the perspective of time, space and rainfall intensity. The results show that(1) the three sets of merged precipitation product have high consistency with the observation, with the correlation coefficients exceeding 0.98 and the absolute values of the average errors below 0.2 mm. GXPAS has the best performance in the overall assessment indicators.(2)In terms of spatiotemporal distribution, all three real products can reflect the rainstorm area and trend distribution of heavy precipitation properly. CMPAS is more accurate in local small distribution than GXPAS.(3)In the precipitation range of 0~40 mm, the TS scores of the three products are all higher than 0.9, and the frequency distribution of precipitation is in good agreement with the observations. In the range of 40~80 mm, CMPAS is generally better than GXPAS. The underestimation of precipitation greater than 80mm is evident. In general, CMPAS has more advantages than GXPAS for heavy precipitation in terms of large precipitation magnitude and detail characterization in this process.

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备注/Memo

备注/Memo:
收稿日期:2023-11-25。
基金项目:中国气象局创新发展专项子项目(CXFZ2021Z007)
作者简介:李叶晴(1998-),女,硕士,助理工程师,主要从事气象数据分析工作。E-mail:yeqingli2022@163.com
通讯作者:任晓炜(1965-),女,正高级工程师,主要从事多源融合气象实况技术业务。E-mail:renxw2010@qq.com
更新日期/Last Update: 1900-01-01