干旱气象 ›› 2019, Vol. 37 ›› Issue (4): 565-576.

• 论文 • 上一篇    下一篇

2016年伊犁河谷大气可降水量变化特征及其与降水的关系

刘晶1,2,周雅蔓3,杨莲梅1,2,张迎新4
  

  1. (1.中国气象局乌鲁木齐沙漠气象研究所,新疆乌鲁木齐830002;
    2.中亚大气科学研究中心,新疆乌鲁木齐830002;
    3.新疆气象台,新疆乌鲁木齐830002;4.北京市气象台,北京100048)
  • 出版日期:2019-08-30 发布日期:2019-09-04
  • 通讯作者: 通信作者:杨莲梅(1969— ),女,从事暴雨诊断和灾害性天气研究. E-mail:yanglm@idm.cn。
  • 作者简介:刘晶(1991— ),女,河南扶沟人,从事暴雨诊断和数值模拟研究. E-mail: 994365768@qq.com。

Temporal Variation Characteristics of Precipitable Water Vapor Based on GPS Data and Its Relation with Precipitation at Yili River Valley in 2016

LIU Jing 1,2, ZHOU Yaman3, YANG Lianmei 1,2, ZHANG Yingxin4   

  1. (1. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;
    2. Center for Central Asia Atmosphere Science Research, Urumqi 830002, China;
    3. Xinjiang Meteorological Obeservatory, Urumqi 830002, China;
    4. Beijing Meteorological Obeservatory, Beijing 100048, China)
  • Online:2019-08-30 Published:2019-09-04

摘要: 利用NCEP/NCAR 0.25°×0.25°再分析资料,ERA-Interim 0.5°×0.5°再分析资料,2016年3月至2017年2月伊犁河谷3个地面观测站逐时和逐日降水及地基GPS大气可降水量(简称“PWV”),对各测站PWV时间变化及其与降水关系进行分析,明确了各站不同降水情况下及不同季节PWV的演变特征。结果表明:(1)各站PWV月际变化呈单峰型分布,谷值出现在1月,7月达到峰值,其中伊宁站2—9月(除7月)PWV与同期降水量变化一致,10—12月呈反向。(2)各站春、夏季平均PWV日变化曲线呈双峰型,春季各站峰值出现在17:00和00:00前后,较夏季峰值出现时间晚2~4 h;秋季新源站PWV日变化曲线呈单峰型,其他两站PWV呈双峰型分布;冬季各站PWV日变化曲线均呈单峰型特征。随着测站海拔高度的增加,PWV日变化幅度逐渐增大。(3)PWV与降水有密切关系,PWV最大值出现时间超前降水0~3 h、5 h和7~9 h发生频次最高,春、夏、秋、冬各季节降水分别主要发生在PWV最大值出现后0~3 h、0~2 h和5~7 h、0~3 h和7~9 h及0~1 h。不同降水情况下各站PWV值存在显著差异,海拔越高的测站差异越不显著。(4)降水发生前PWV增大与对流层低层水汽输送和水汽流入有关;降水期间不同影响系统、不同水汽输送造成的PWV增大时间和峰值有所不同,降水开始时间与PWV峰值有较好的对应关系。降水期间暴雨区水汽垂直输送明显,对流层中、高层云形成云冰水聚集区,PWV有明显跃变,存在水汽的快速聚集过程,造成测站短时强降水天气。

关键词: 伊犁河谷, 地基GPS, 降水, 大气可降水量

Abstract: Based on the NCEP/NCAR 0.25 ° × 0.25 ° reanalysis data, ERA-Interim 0.5°×0.5°reanalysis data, hourly and daily precipitation data, ground-based GPS precipitable water vapor data (PWV) from March 2016 to February 2017  at three stations in the Yili River Valley, temporal variation characteristics of PWV and its relationship with precipitation at three stations were analyzed. The evolution characteristics of PWV at different stations under different precipitation conditions and in different seasons were clarified. The results were as follows: (1) PWV had an obvious monthly variation, and it presented single-peak distribution at each station with the lowest value in January and the peak in July. The variation of PWV at Yining station was in consistent with the precipitation change from February to September (except July) but it was opposite from October to December. (2) The diurnal variation of PWV at each station presented double-peak distribution in spring and summer, the maximum  PWV appeared at 17:00 BST and 00:00 BST in spring, and it was 2-4 h later than that in summer. In autumn, the diurnal variation of PWV presented single peak distribution at Xinyuan station but it presented double peak distribution at  other two stations,while diurnal variation of PWV at three stations presented single-peak distribution in winter. As the altitude of the station increased, the variation of daily PWV increased gradually. (3) The maximum PWV was 0-3 h, 5 h, and 7-9 h ahead of precipitation, which was the highest  frequency. The occurrence time of precipitation in four seasons mainly was 0-3 h, 0-2 h and 5-7 h, 0-3 h and 7-9 h, and 0-1 h later than that of the maximum PWV, respectively. There were significant differences for PWV values in three stations under different precipitation conditions, and the higher the altitude, the less significant the difference was. (4) Humidification of PWV was related to the transport and inflow of water vapor in the lower troposphere before rainfall occurrence. During the precipitation period, the peak value of PWV and humidification time were different under different influence system and different water vapor transportation. The start time of precipitation had a good correspondence with peak  value of PWV. During the precipitation period, there was  a significant vertical transport of water vapor over the rainstorm area, which resulted in a gathering area of ice water formed in clouds in the middle and upper troposphere, PWV transition and short-term heavy rainfall at the station.

Key words:  , Yili River Valley, ground-based GPS, precipitation, atmospheric precipitable water vapor

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