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国家级多源融合降水产品在云南的适用性评估
引用本文:李超,李华宏,杨素雨,许迎杰,米瑞芝.国家级多源融合降水产品在云南的适用性评估[J].高原山地气象研究,2021,41(3):108-114.
作者姓名:李超  李华宏  杨素雨  许迎杰  米瑞芝
作者单位:1.云南省气象台,昆明 650034
基金项目:中国气象局广东省区域数值天气预报重点实验室开放基金课题(J202004);2021年中国气象局创新发展专项(CXFZ2021J015);云南省气象局重点项目(TQ201701);云南省地质灾害气象风险预警业务能力建设国家重点研发计划(2018YFC1507603);青藏高原综合科学考察研究项目(2019QZKK0105)
摘    要:基于2018~2020年云南省126个国家地面观测站逐小时降水资料,客观定量评估了国家气象信息中心研发的CMPAS二源融合和三源融合逐小时网格降水产品在云南地区的适用性。结果表明:两套融合降水产品均能较好地反映云南区域小时降水的时空变化特征,但都低估了实际降水量;三源融合降水产品在云南的适用性更强,对0.1~1.9mm量级的小时降水量预估偏大,且离散性较高,但随着实况降水量的增加,平均误差呈负值,降水量预估值偏小;三源融合降水产品能准确抓住云南省的过程性降水,在短时强降水导致滑坡泥石流的监测中具有一定优势。 

关 键 词:融合产品    小时降水    云南    检验
收稿时间:2021-03-24

Assessing the Applicability of National Precipitation Merged Products in Yunnan
Institution:1.Yunnan Meteorological Observatory, Kunming 650034, China2.Research Center for Disastrous Weather over Hengduan Mountains & Low- Latitude Plateau, CMA, Kunming 650034,China
Abstract:Based on hourly precipitation date of 126 national automatic weather station of Yunnan province from 2018 to 2020, the application evaluation of CMPAS two-source fusion (fast) and three-source fusion (FRT) hourly grid precipitation products (0.05°×0.05°) developed by the National Meteorological Information Center was conducted to objectively and quantitatively evaluate the applicability of the multi-source fusion precipitation products in Yunnan. The evaluation results show that the two sets of integrated precipitation products can better reflect the spatial and temporal variation characteristics of hourly precipitation in Yunnan, but practical precipitation were both underestimated. The applicability of three-source integrated precipitation in Yunnan is stronger, the hourly precipitation of 0.1~0.9mm is larger and the dispersion is higher. With the increase of hourly practical precipitation, the average error becomes negative and the precipitation prediction value is small. Three-source merged precipitation product can accurately capture the process precipitation in Yunnan Province, and have a definite advantage in landslide and debris flow monitoring caused by short-term heavy rainfall. 
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