华北水利水电大学学报(自然科学版)2024,Vol.45Issue(1) :21-30.DOI:10.19760/j.ncwu.zk.2024003

基于CORS网数据的河南"7·20"特大暴雨期间大气水汽分布特征分析

Analysis of Distribution Characteristics of Precipitable Water Vapor during the ″7·20″Extremely Heavy Rainstorm in Henan Province Based on CORS Data

李慧 张亚豪 朱丹彤 高旭昂
华北水利水电大学学报(自然科学版)2024,Vol.45Issue(1) :21-30.DOI:10.19760/j.ncwu.zk.2024003

基于CORS网数据的河南"7·20"特大暴雨期间大气水汽分布特征分析

Analysis of Distribution Characteristics of Precipitable Water Vapor during the ″7·20″Extremely Heavy Rainstorm in Henan Province Based on CORS Data

李慧 1张亚豪 1朱丹彤 1高旭昂1
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作者信息

  • 1. 华北水利水电大学,河南 郑州 450046
  • 折叠

摘要

河南"7·20"特大暴雨导致了严重的城市内涝和多起地质灾害.大气水汽是发生极端降雨的主要驱动力之一,分析"7·20"特大暴雨期间大气水汽的时空变化,有助于提高对降雨-水汽区域性作用机制的认识.利用河南 CORS网中 8 个 GNSS测站的观测数据,反演了暴雨前后(7 月 17-24 日)时间分辨率为 5 min的PWV数据,在此基础上与基于 ERA-5 再分析数据通过积分求得的 PWV 值进行了对比,并结合实际降雨量分析了暴雨期间水汽的时空分布特征.结果表明:GNSS-PWV 的偏差和均方根误差分别为 0.4、2.3 mm;暴雨前 3 d内PWV值呈现快速上升趋势,并在暴雨前 3 h达到最大值,在 7 月 22 日后逐渐减少到正常范围;GNSS-PWV的变化趋势与实际降雨过程基本符合.研究结果可为基于 GNSS 观测数据的实时全天候气象预警工作提供一定的理论基础.

Abstract

The ″7·20″ extremely heavy rainstorm in Henan Province caused serious urban waterlogging and several geolog-ical disasters.Precipitable water vapor(PWV)is one of the main drivers of extreme rainfall,and the analysis of the spatial and temporal variations of atmospheric water vapor during the ″7·20″ extremely heavy rainstorm can help to improve the understanding of the mechanism of rainfall and water vapor regional interaction.The PWV data with a temporal resolution of 5 min before and after the rainstorm from July 17 to July 24 were inverted using observations from eight GNSS stations in the Henan CORS network.On this basis,the integrated PWV values were compared with those of the ERA-5 reanalysis data,and the spatial and temporal distribution characteristics of water vapor during the rainstorm were analyzed in relation to the actual rainfall.The results are as follows.The deviation and root mean square error of GNSS-PWV are 0.4 and 2.3 mm,respectively.The PWV values showed a rapid increasing trend during the 3 days before the storm and reached the maximum value 3 hours before the storm,and gradually decreased to the normal range after July 22.The variation trend of GNSS-PWV is basically consistent with the actual rainfall process.The research results can provide a certain theoretical basis for real-time all-weather meteorological warning work based on GNSS observation data.

关键词

GNSS/大气水汽/再分析数据/"7·20"特大暴雨

Key words

GNSS/precipitable water vapor/reanalysis data/″7·20″ extremely heavy rainstorm

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基金项目

国家自然科学基金项目(42007423)

出版年

2024
华北水利水电大学学报(自然科学版)
华北水利水电大学

华北水利水电大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.558
ISSN:1002-5634
参考文献量14
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