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一个长江中下游夏季降水的物理统计预测模型 被引量:76
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作者 范可 王会军 choi young-jean 《科学通报》 EI CAS CSCD 北大核心 2007年第24期2900-2905,共6页
提出了一个长江中下游夏季(6~8月)降水的短期气候预测方法,通过预测夏季降水的年际增幅,进而再预测降水.年际增幅(DY)定义为当年的变量值减去前一年的变量值.YR定义为长江中下游夏季平均季降水率.通过分析与YR年际增幅有关的冬、春季... 提出了一个长江中下游夏季(6~8月)降水的短期气候预测方法,通过预测夏季降水的年际增幅,进而再预测降水.年际增幅(DY)定义为当年的变量值减去前一年的变量值.YR定义为长江中下游夏季平均季降水率.通过分析与YR年际增幅有关的冬、春季节大气环流,确定6个关键的预测因子,建立物理统计的预测模型,预测因子是南极涛动,印尼-澳洲附近的850和200hPa经向风垂直切变等.这个预测模型对YR在1997~2006年后报中显示了很高的预测技巧,预测的平均均方根误差是18%.预测模型能够再现YR在1984~1998年的上升趋势和1998~2006年的下降趋势.考虑到目前中国夏季降水的平均预测水平是60%~70%,而长江中下游地区夏季降水的预测水平不高,因此,通过预测长江中下游夏季降水的年际增幅(然后再预测夏季降水)的方法,能够显著地提高长江中下游夏季降水的业务预测技巧,并具有潜在的应用意义. 展开更多
关键词 年际增幅 长江中下游夏季降水 预测模型 预测技巧内容
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A physically-based statistical forecast model for the middle-lower reaches of the Yangtze River Valley summer rainfall 被引量:61
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作者 FAN Ke WANG HuiJun choi young-jean 《Chinese Science Bulletin》 SCIE EI CAS 2008年第4期602-609,共8页
A new approach to forecast the middle-lower reaches of the Yangtze River Valley summer rainfall in June―August(JJA) is proposed in this paper.The year-to-year increment of the middle-lower reaches of the Yangtze Rive... A new approach to forecast the middle-lower reaches of the Yangtze River Valley summer rainfall in June―August(JJA) is proposed in this paper.The year-to-year increment of the middle-lower reaches of the Yangtze River Valley is forecasted and hence the summer precipitation could be predicted.In this paper,DY is defined as the difference of a variable between the current year and the preceding year(year-to-year increment).YR denotes the seasonal mean precipitation rate of the middle-lower reaches of the Yangtze River Valley summer rainfall.After analyzing the atmospheric circulation anomalies in winter and spring that were associated with the DY of YR,six key predictors for the DY of YR have been identified.Then the forecast model for the DY of YR is established by using the multi-linear regression method.The predictors for the DY of YR are Antarctic Oscillation,the meridional wind shear between 850hPa and 200hPa over the Indo-Australian region,and so on.The prediction model shows a high skill for the hindcast during 1997-2006,with the average relative root mean square error is at 18%.The model can even reproduce the upward and downward trends of YR during 1984―1998 and 1998―2006.Considering that the current operational forecast models of the summer precipitation over the China region have the average forecast scores at 60%―70% and that the prediction skill for the middle-lower reaches of Yangtze River Valley summer precipitation remains quite limited up to now,thus this new approach to predict the year-to-year increment of the summer precipitation over the Yangtze River Valley(and hence the summer precipitation itself) has the potential to significantly increase the operational forecast skill of the summer precipitation. 展开更多
关键词 长江流域 夏季 降雨量 天气预报 统计预报模型
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