干旱区研究

干旱区研究 >

2014 , Vol. 31 >Issue 5: 915 - 921

DOI: https://doi.org/10.13866/j.azr.2014.05.20

天气与气候

天山山区一次强降雪过程GPS可降水量特征分析

  • 李曼 ,
  • 杨莲梅 ,
  • 赵玲
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  • 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.新疆维吾尔自治区气象台,新疆 乌鲁木齐 830002
李曼(1986-),女,助理研究员,主要从事中尺度动力学和数值模式研究. E-mail:lim_idm@126.com

收稿日期: 2013-10-21

  修回日期: 2014-01-12

  网络出版日期: 2014-09-25

基金资助

国家科技支撑项目(2012BAC23B01);新疆气象局科学技术研究与应用技术开发项目(xj201326);国家自然科学基金项目(41075049)资助

收起

Snowfall Derived from Ground-Based GPS in a Heavy Snowfall Process in the Tianshan Mountains

  • LI Man ,
  • YANG Lian-mei ,
  • ZHAO Ling
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  • 1. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;
    2. Xinjiang Meteorological Observatory, Urumqi 830002, China

Received date: 2013-10-21

  Revised date: 2014-01-12

  Online published: 2014-09-25

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摘要

利用2012年新建成的天山山区地基GPS遥感大气水汽总量(GPS-PWV)资料、再分析资料、自动站逐时降雪量资料等,对2012年11月6—9日新疆北部地区、天山山区一次强降雪过程发生、发展前后GPS-PWV演变特征进行分析。结果表明:GPS-PWV的持续上升对未来一段时间内出现降雪过程有一定的预示意义,降雪发生前GPS-PWV有十几个小时的持续上升(增幅为近10 a该月平均大气可降水量的1倍左右),在其达到峰值前后3 h内出现降雪;GPS-PWV空间分布大值区与降雪落区有较好的对应关系。随着水汽汇聚和堆积,天山山区各站点GPS-PWV随时间持续上升;水汽随偏西气流进入北疆及沿天山地区。与之对应,GPS-PWV也呈现出自西向东逐渐增加的空间分布型,说明GPS-PWV能够较准确的从时间和空间上反映大气中水汽的特征。

关键词： 地基GPS遥感大气水汽总量(GPS-PWV); 强降雪过程; 环流形势; 天山山区; 新疆

本文引用格式

李曼 , 杨莲梅 , 赵玲 . 天山山区一次强降雪过程GPS可降水量特征分析[J]. 干旱区研究, 2014 , 31(5) : 915 -921 . DOI: 10.13866/j.azr.2014.05.20

Abstract

The evolution features of GPS-PWV in a persistent heavy snowfall process in the Tianshan Mountains from November 6 to 9, 2012 were analyzed using the GPS Perceptible Water Vapor (GPS-PWV) observations derived from the ground-based GPS network in the Tianshan Mountains, reanalyzed data and observed precipitation data from an automatic weather station. The results indicated that the variation trend of GPS-PWV in the Tianshan Mountains had an indication effect on snowfall. The value of GPS-PWV was increased continuously and obviously in more than ten hours prior to snowfall, and the amplification of GPS-PWV equaled the average monthly precipitable water vapor in recent ten years. Snowfall started within 3 hours before or after GPS-PWV was increased to its maximum. The high value of GPS-PWV in spatial distribution coincided with the snowfall areas. With water vopar converging and accumulating, GPS-PWV was increased with the time. Along with water vapor moving into Xinjiang with westerly wind, GPS-PWV was significantly increased from the west to the east. The temporal and spatial evolution characteristics can be used to accurately indicate the characteristics of water vapor.

Key words： ground-based GPS Perceptible Water Vapor; heavy snowfall; circulation pattern; Tianshan Mountains; Xinjiang

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