Applicability evaluation of multi-source precipitation data in the Hangzhou-Jiaxing-Huzhou region

XU Peng; XU Junlin; WANG Cheng; MA Sen

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Applicability evaluation of multi-source precipitation data in the Hangzhou-Jiaxing-Huzhou region

更新时间：2026-07-09

- Applicability evaluation of multi-source precipitation data in the Hangzhou-Jiaxing-Huzhou region
- Vol. 0, Issue 2, (2026)
- 作者机构：
  
  中国电建集团华东勘测设计研究院有限公司,浙江,杭州,311122
- 作者简介：
- 基金信息：
- DOI：
  CLC： P426.6
- Online First：03 July 2026，
  
  Published：2026
- 稿件说明：
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许鹏, 徐郡磷, 王成, 马森. 多源降水数据在杭嘉湖地区的适用性评估[J]. 大坝与安全, 2026, 0(2): 50-.

XU Peng, XU Junlin, WANG Cheng, et al. Applicability evaluation of multi-source precipitation data in the Hangzhou-Jiaxing-Huzhou region[J]. 2026, 0(2).
许鹏, 徐郡磷, 王成, 马森. 多源降水数据在杭嘉湖地区的适用性评估[J]. 大坝与安全, 2026, 0(2): 50-. DOI：

XU Peng, XU Junlin, WANG Cheng, et al. Applicability evaluation of multi-source precipitation data in the Hangzhou-Jiaxing-Huzhou region[J]. 2026, 0(2). DOI：

摘要

为明确多源降水数据在杭嘉湖地区的适用性，为区域水文气象研究、水资源管理及洪涝/干旱预警提供可靠数据支撑，以该区域地面雨量站实测数据为基准，选取MSWEP、GPM 和GLDAS三种主流多源降水数据，采用点对点匹配方法，从年、月、日三个时间尺度，系统评估了三种数据在 1998—2021年的精度表现。结果表明，MSWEP具有最高的相关性、最低的系统偏差和最好的降水探测性，更适用于杭嘉湖地区的相关研究。本研究成果可为该区域多源降水数据的选择提供科学依据，同时为后续细化降水产品精度评估，拓展其水文应用提供参考。

Abstract

To clarify the applicability of multi-source precipitation data in the Hangzhou-Jiaxing-Hu_ zhou region and provide reliable data support for regional hydrometeorological research

water resource management and flood and drought early warning

this study uses the measured data from in-situ rain gauges as the reference. Three mainstream multi-source precipitation products of MSWEP

GPM and GLDAS are selected

and a point-to-point matching method is adopted to systematically evaluate their accuracy from 1998 to 2021 on annual

monthly and daily temporal scales. The results show that MSWEP presents the highest correlation

the lowest systematic bias and the best precipitation detection capability

making it more suitable for relevant studies of Hangzhou-Jiaxing-Huzhou region. This study can provide a scientific basis for the selection of multi-source precipitation data in this region

and also offer a reference for the subsequent refinement of accuracy evaluation of precipitation product and the expansion of hydrological application.

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