Journal of Arid Meteorology

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Analysis of Atmospheric Precipitable Water Vapor Characteristics During Flood Season in Liaoning Province Based on GPS Remote Sensing Data

YANG Lei1JIANG Dakai1WANG Ying1CAI Kuizhi1SUN Li2CHEN Yu1CHEN Nina1   

  1. 1. Liaoning Meteorological Disaster Monitoring and Early Warning Centre, Shenyang 110166, China;
    2. Liaoning Weather Modification Office, Shenyang 110166, China
  • Online:2016-02-29 Published:2016-02-29

辽宁省汛期GPS大气可降水量的特征分析

杨磊1蒋大凯1王瀛1才奎志1孙丽2陈宇1陈妮娜1   


  1. 1.辽宁省气象灾害监测预警中心,辽宁沈阳110166;
    2.辽宁省人工影响天气办公室,辽宁沈阳110166
  • 通讯作者: 蒋大凯,男,正研级高工.
  • 作者简介:杨磊(1987- ),男,助理工程师,主要从事短时天气预报预警方面研究.E-mail:yanglei_nuist@163.com
  • 基金资助:

    辽宁省气象局气象科研项目(201508)、气象关键技术集成与应用项目(CMAGJ2015M15)、中国气象局预报员专项(CMAYBY2015-017)及2015年辽宁省气象局强对流创新团队项目共同资助

Abstract:

The characteristics of atmospheric precipitable water vapor (PWV) during flood season in Liaoning Province were analyzed based on ground-based GPS measurements at Shenyang and Dandong stations from July to August in 2013 and 2014. The backward air mass trajectories over Shenyang and Dandong were simulated by HYSPLIT model and classified by using the cluster analysis theory. The results show that the correlation coefficients between PWV detected by GPS and PWV derived from radio sounding data over Shenyang and Dandong were both more than 0.9, and their root mean square errors for Shenyang and Dandong were 4.73 mm and 5.21 mm, respectively. The mean values of PWV on rainless days were 28.58 and 30.49 mm for Shenyang and Dandong respectively, which were lower than those of north and southwest China. The increase of PWV was found before all strong precipitations, and the maximum increment ranged from 2 to 8 mm intensively, which occurred in one to three hours before heavy rain. The characteristics of PWV were different for different strong rainfall types, the PWV during strong rainfall cases influenced by south cyclone and northeast cold vortex was the largest, and the PWV during local convective rainfall processes was the smallest. Variation of air mass trajectories over Shenyang and Dandong also had an impact on PWV, the PWV of air mass from southwest was the largest and favorable for strong precipitation.

Key words:  ground-based GPS, precipitable water vapor(PWV), strong precipitation, air mass trajectories

摘要:

基于2013、2014年7~8月沈阳和丹东地基GPS水汽监测系统探测的大气可降水量(PWV)资料,对辽宁地区汛期大气可降水量特征进行了分析,利用HYSPLIT后向轨迹模式模拟了沈阳和丹东地区气团轨迹,并通过聚类分析方法将气团进行了分型。结果表明:沈阳和丹东GPS探测的PWV和根据探空数据计算的PWV相关系数均达到0.9,均方根误差分别为4.73 mm和5.21 mm;沈阳和丹东汛期非降水日PWV平均值分别为28.58 mm和30.49 mm,低于华北和西南地区观测值;强降水过程前均存在PWV增加现象,PWV最大增量集中在2~8 mm之间,且一般集中出现在强降水发生前1~3 h内;不同类型强降水过程中PWV 特征不同,南方气旋和东北冷涡共同影响的降水个例中PWV最大,局地强对流过程PWV最小;沈阳和丹东站点不同气团中PWV有所不同,西南气团PWV均为最大,更有利于强降水天气的发生。

关键词: GPS地基, 大气可降水量(PWV), 强降水, 气团轨迹

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