论文

云南地区GPS探测与3类再分析可降水量的对比分析

  • 任菊章 ,
  • 孙绩华 ,
  • 李建 ,
  • 徐开
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  • 云南省气象科学研究所, 昆明 650034;2. 大理国家观象台, 大理 630020;3. 中国气象科学研究院 灾害天气国家重点实验室, 北京 100081

收稿日期: 2012-10-24

  网络出版日期: 2014-12-28

基金资助

公益性行业(气象)科研专项(GYHY201006054, GYHY201406001); 云南省科技厅项目(2012FB196); 云南省省院校科技合作计划(2006YX39)

Comparison of Precipitation in Yunnan from GPS Observation Data and Three Reanalysis Data

  • REN Juzhang ,
  • SUN Jihua ,
  • LI Jian ,
  • XU Kai
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  • Yunnan Research Institute of Meteorology, Kunming 650034, China;2. Dali Observatory, Dali 630020, China;3. Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China

Received date: 2012-10-24

  Online published: 2014-12-28

摘要

利用云南7站的GPS水汽探测资料、美国NCEP/NCAR、NCEP/DOE和日本JRA-25再分析资料, 对2009年云南地区的大气可降水量进行了比较分析。结果表明, 在云南地区的7个GPS探测站点上, 3类再分析资料和GPS探测值均能较好地再现年平均可降水量由南向北逐渐减少的变化特征, 在月平均可降水量的年内变化中也表现出一致的单峰型变化特征, 但再分析资料对各月平均可降水量数值大小的估算总体上要小于GPS探测值。在雨季GPS探测资料和3类再分析资料能够反映可降水量的季节内变化特征, 但再分析资料对雨季开始期可降水量由南向北推进过程的描述不如GPS探测资料精细。JRA-25可降水量资料与GPS探测值在短时间尺度上具有较好的一致变化, 明显优于其他两类再分析资料。

本文引用格式

任菊章 , 孙绩华 , 李建 , 徐开 . 云南地区GPS探测与3类再分析可降水量的对比分析[J]. 高原气象, 2014 , 33(6) : 1480 -1489 . DOI: 10.7522/j.issn.1000-0534.2013.00114

Abstract

By using GPS observation data, the NCEP/NCAR reanalysis data, the NCEP/DOE reanalysis data and the JRA-25 reanalysis data, the features of precipitation in the eastern Yunnan in 2009 is investigated. The results show that the annual mean precipitation in 2009 is decreasing from south side to north side in Yunnan, and the annual characteristics of the monthly mean precipitation in 2009 present the unimodal distribution. The difference among the values of precipitation estimated by these four data is clear in every month, and the values of precipitation estimated by three reanalysis data are all less than that by GPS observation in every month. Analyzing the daily mean precipitation by the four kinds of data, the trend of the precipitation increases from south side to north side in the eastern Yunnan. But it is difficult to present the procedure of precipitation boosting from south side to north side in Yunnan at the beginning of the rainy season period by three reanalysis data. From the case study, the precipitation variation by the JRA-25 reanalysis data is same as that by GPS observation in the short time scale, so the precipitation of JRA-25 reanalysis data is more reliable than the other reanalysis data.

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