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2017—2018年辽宁地区三次降雪天气的GPS水汽变化特征
引用本文:徐爽,胡鹏宇,梁红,吴宇童,李典,张帅.2017—2018年辽宁地区三次降雪天气的GPS水汽变化特征[J].气象与环境学报,2019,35(5):27-36.
作者姓名:徐爽  胡鹏宇  梁红  吴宇童  李典  张帅
作者单位:1. 沈阳市气象局, 辽宁 沈阳 110168;2. 辽宁省气象灾害监测预警中心, 辽宁 沈阳 110166;3. 中国气象局沈阳大气环境研究所, 辽宁 沈阳 110166
基金项目:辽宁省气象局科学技术项目(BA201809)和中国气象局沈阳大气环境研究所开放基金(2018SYIAE04)共同资助。
摘    要:利用欧洲中心(European Center for Medium-Range Weather Forecasts,ECMWF) ERA-interim再分析资料、常规气象观测资料及GPS (Global Position System)系统探测的大气可降水量(Precipitable Water Vapor,PWV)资料,对2017—2018年辽宁地区三次中雪及以上量级的降雪过程中大气可降水量的演变特征进行分析。结果表明:三次降雪过程中PWV均呈现单峰式结构,其与小时降雪量之间存在较好的时间对应关系,降雪时段对应PWV高值阶段;在降雪出现前6—15 h,PWV迅速增加,且PWV总增长量与降雪强度存在较好的正相关关系。

关 键 词:降雪天气  地基GPS  大气可降水量  
收稿时间:2018-05-30

Characteristics of GPS precipitable water vapor during three snowfall events from 2017 to 2018 in Liaoning province
XU Shuang,HU Peng-yu,LIANG Hong,WU Yu-tong,LI Dian,ZHANG Shuai.Characteristics of GPS precipitable water vapor during three snowfall events from 2017 to 2018 in Liaoning province[J].Journal of Meteorology and Environment,2019,35(5):27-36.
Authors:XU Shuang  HU Peng-yu  LIANG Hong  WU Yu-tong  LI Dian  ZHANG Shuai
Institution:1. Shenyang Meteorological Service, Shenyang 110168, China;2. Liaoning Meteorological Disaster Monitoring and Early Warning Center, Shenyang 110166, China;3. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
Abstract:Using the ECMWF (European Center for Medium-Range Weather Forecasts) ERA-interim reanalysis data,convention observation data and GPS (Global Position System) precipitable water vapor (PWV) observations,the variations of PWV during the three snow-falling processes occurring in Liaoning province were analyzed.The results indicate that the variations of PWV present a single-peak structure during the snowfalls.There is a good correlation between the variations of PWV and the hourly amounts of snowfall.The occurrence of snowfall corresponds to the high value of PWV.The PWV has increased rapidly since the snowfall occurred six to fifteen hours ago.The total increasing amount of PWV is positively correlated with the intensity of snowfall.
Keywords:Snowfall weather  Ground-based GPS  Precipitable water vapor  
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