干旱区研究

干旱区研究 >

2014 , Vol. 31 >Issue 5: 882 - 890

DOI: https://doi.org/10.13866/j.azr.2014.05.16

天气与气候

增暖趋势对新疆冬季气温预测效果的影响

  • 毛炜峄 ,
  • 陈鹏翔 ,
  • 白素琴
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  • 新疆气候中心,新疆 乌鲁木齐 830002
毛炜峄(1969-),男,正研级高级工程师,主要从事气候预测、气候变化、应用气象业务工作及相关研究. E-mail:mao6991@vip.sina.com

收稿日期: 2014-02-18

  修回日期: 2014-04-02

  网络出版日期: 2014-09-25

基金资助

国家自然科学基金(41065006)和国家重点基础研究发展计划973项目(2010CB951001)联合资助

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Influence of Warming Trend on Predicted Temperature in Winter in Xinjiang

  • MAO Wei-yi ,
  • CHEN Peng-xiang ,
  • BAI Su-qin
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  • Xinjiang Climate Cener, Urumqi 830002, China

Received date: 2014-02-18

  Revised date: 2014-04-02

  Online published: 2014-09-25

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摘要

利用新疆33站1961—2011年冬季气温和前期108项月环流特征量指数,用滑动相关—逐步回归—集合分析方法建立预测模型,在建立模型时考虑各站冬季气温及前期月环流特征量的线性变化趋势影响,设计了原始序列和去线性趋势两种建模方案,对比两种方案下新疆冬季气温预测效果。结果表明:两种建模方案均具有一定的预测能力;相比之下,去线性趋势方案的预测效果好于原始序列方案;用独立试报相关系数为指标,得到集合方案预测结果,集合方案预测效果明显优于原始序列方案,与去线性趋势方案相比略有改进。对比10月、11月起报的集合方案预测结果,得到的滚动综合结果能进一步改进新疆冬季气温预测的大部分指标。分离预测量和前期环流特征量因子线性趋势和集合分析等方法,都能有效地改进新疆冬季气温预测效果。

关键词： 增暖趋势; 线性趋势; 滑动相关; 预测效果; 冬季气温; 新疆

本文引用格式

毛炜峄 , 陈鹏翔 , 白素琴 . 增暖趋势对新疆冬季气温预测效果的影响[J]. 干旱区研究, 2014 , 31(5) : 882 -890 . DOI: 10.13866/j.azr.2014.05.16

Abstract

Two schemes of original series and filter linear trend were designed using the data of temperature in winter at 33 climatic stations in Xinjiang as the predictands and 108 previous characteristic indexes of circulation as the predictors and considering their linear trends. The running correlation, stepwise regression and ensemble analysis were used to develop the multiple regression prediction models with two different schemes at the 33 stations. The predicted values of temperature of two schemes were compared. The results showed that the both two schemes had a certain predictive capability. In contrast, the prediction of filter linear trend was better than that of original series. Taking the correlation coefficients of independent test as the indicators, the ensemble analysis prediction was obtained. Its effect was superior to that of the scheme of original series. Contrast to the prediction of ensemble analysis from October and November, the running prediction results of temperature in Xinjiang in winter could be improved. The prediction effect of temperature in Xinjiang in winter was improved.

Key words： warming trend; linear trend; running correlation; prediction; temperature in winter; Xinjiang

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