程智, 朱保林, 罗连升, 丁小俊. 多层次降尺度方法对安徽省月降水量预测的研究[J]. 云南大学学报(自然科学版), 2011, 33(5): 563-568.
引用本文: 程智, 朱保林, 罗连升, 丁小俊. 多层次降尺度方法对安徽省月降水量预测的研究[J]. 云南大学学报(自然科学版), 2011, 33(5): 563-568.
CHENG Zhi, ZHU Bao-lin, LUO Lian-sheng, DING Xiao-jun. A research on multi-level downscaling techniques in prediction of monthly precipitationin in Anhui province[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(5): 563-568.
Citation: CHENG Zhi, ZHU Bao-lin, LUO Lian-sheng, DING Xiao-jun. A research on multi-level downscaling techniques in prediction of monthly precipitationin in Anhui province[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(5): 563-568.

多层次降尺度方法对安徽省月降水量预测的研究

A research on multi-level downscaling techniques in prediction of monthly precipitationin in Anhui province

  • 摘要: 利用1961~2004年多层次的NCEP环流资料初选出与台站月降水量的显著相关区,通过最优子集回归模型对各初选因子进行筛选和组合,形成了安徽省35个台站的月降水量回归模型,并分别利用NCEP资料和月动力延伸模式环流预报作为输入场对2005~2009年安徽省月降水量进行了回报.结果表明,该降尺度模型包含高低层的多种资料,各因子组合起来可以从统计上反映出一些影响降水的环流配置型,较传统的仅用500hPa资料的降尺度模型内容更为丰富.从回报的效果来看,预测值与实况值平均距平符号一致率为63%,PS评分为75分,其中对涝月的预测效果要好于旱月.

     

    Abstract: Based on several levels data of monthly NCEP circulation data,the prominent correlative regions have been chosen.Through filtering and association with the optimal subset regression method,35 stations of Anhui monthly precipitation regression models have been formed and 2005-2009 monthly precipitation in Anhui have been experimentally predicted with the incoming data of dynamic extended range forecast(DERF) model.The results show that the downscaling model contains multiple data of low-high levels,various factors have been assembled to show some allocation situations affecting precipitation,which are more comprehensive than the model only using 500 hPa data.Seeing from experimental predication results,mean anomaly concordance rate is 63%,the PS score is 75.The method is preponderant in waterlogged month.

     

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