水文与水资源

环流特征量指数在新疆汛期降水趋势预测中的应用

  • 王慧 ,
  • 谭艳梅 ,
  • 毛炜峄 ,
  • 安沙舟
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  • 1.新疆农业大学草业工程学院,‚新疆乌鲁木齐 830052;
    2.新疆气候中心,‚新疆乌鲁木齐 830002;
    3.新疆气象台,‚ 新疆乌鲁木齐 830002

收稿日期: 2007-04-24

  修回日期: 2007-05-28

  网络出版日期: 2026-01-07

基金资助

新疆气象局青年基金课题“环流特征量指数在新疆汛期预测中的应用”;新疆气象局气象科技研究课题(200704)“气候预测统计模型中因子的不稳定性分析以及集合预测方法研究”联合资助

Application of Indexes of Characteristic Quantities of Atmospheric Circulation in Precipitation Trend Prediction in Xinjiang in Flood Season

  • WANG Hui ,
  • TAN Yan-mei ,
  • MAO Wei-yi ,
  • AN Sha-zhou
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  • 1. College Prataculture Engineering, Xinjiang Agricultural University, Urumqi 830052, China;
    2. XinjiangClimateCenter, Urumqi 830002, China;
    3. XinjiangMeteorologicalObservatory, Urumq i 830002, China

Received date: 2007-04-24

  Revised date: 2007-05-28

  Online published: 2026-01-07

摘要

利用中国气象局气候中心下发的74类环流特征量值,通过相关分析,建立了新疆10个区域的汛期降水预测模型。结果表明:预测模型对新疆汛期降水趋势有一定的预报能力,尤其是在新疆洪涝灾害多发的伊犁及博尔塔拉蒙古自治州、北疆沿天山一带、天山山区,建立的3个区域预测模型可以作为汛期降水预测的主要工具。

本文引用格式

王慧 , 谭艳梅 , 毛炜峄 , 安沙舟 . 环流特征量指数在新疆汛期降水趋势预测中的应用[J]. 干旱区研究, 2008 , 25(4) : 485 -491 . DOI: 10.13866/j.azr.2008.04.005

Abstract

In this paper,Xinjiang is divided into 10 regions for predicting precipitation trend in flood season.After analyzing the indexes of 74 characteristic quantities of atmospheric circulation,4 to 6 characteristic indexes are selected to develop the prediction models of precipitation in 10 regions of Xinjiang in flood season.The results show that precipitations in these 10 regions in flood season are closely related to the previous characteristic indexes of Northern Hemisphere.Among them,the dominant factors are different from different regions and different seasons.All the models pass the confidence test of 0.01,and the average prediction accuracies of the most cases are higher than 60%,especially they are higher than 80% in predicting precipitation in flood season in Yili Kazak Autonomous Prefecture,Bortala Mongol Autonomous Prefecture,north Xinjiang along the Tianshan Mountains and Tianshan mountainous area,and the root mean square errors of these cases vary in a range from 12.3% to 22.3% only.Therefore,the models are applicable in predicting precipitation in these regions in flood season.

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