谢炯光,秦冰冰,王静渊. 1997. 奇异值分解方法在季降水预测中的应用[J]. 气象学报, 55(1):117-123, doi:10.11676/qxxb1997.013
奇异值分解方法在季降水预测中的应用
THE APPLICATION OF SINGULAR VALUE DECOMPOSITION ANALYSIS IN THE PREDICTION OF SEASONAL RAINFALL
投稿时间:1995-06-09  修订日期:1995-09-26
DOI:10.11676/qxxb1997.013
中文关键词:  奇异值分解  海表温度  季降水量
英文关键词:Singular value decomposition  Sea surface temperature(SST)  seasonal rainfall
基金项目:
作者单位
谢炯光 广州中心气象台, 广州, 510080 
秦冰冰 广州中心气象台, 广州, 510080 
王静渊 广州中心气象台, 广州, 510080 
摘要点击次数: 2009
全文下载次数: 2946
中文摘要:
      用奇异值分解方法对冬季北太平洋海表温度与广东省4-6月降水量之间的关系进行了计算,得出奇异向量分布型。对前6对奇异向量进行了分析,并用历史资料进行了反查检验,用1994年和1995年的海温型进行了广东的降水趋势预测。
英文摘要:
      Rainy season in South China has two periods,Apr to Jun and Jul to Sep.Especially, floods of ten occured in the former rainy season,it caused heavy economic losses in locality.Therefore,it's very important to predictrainfall of former rainy season more accurately.It's well know that the abnormal change of SST can cause abnormality of the atmospheric circulations,and influence precipitation distribution. In this paper,the method of singular value decomposition analysis is used to decompose monthly mean SST field of North Pacific in winter and rainfall field of Guangdong province during the next Apr to Jun.We obtained six space distribution patterns of SST with its close related rainfall field.Therefore by using of SST distribution in winter we can estimate precipitation tendency of next Apr to Jun in Guangdong.
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