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Forecasting the Quasi-stationary Front Rainstorm in Southeast China Using the Synthetically Multilevel Analog Forecast Technology

机译:用综合多级模拟预测技术预测东南部的准固定前暴雨

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The authors use numerical model integral products in a third level forecast of synthetically multi-level analog forecast technology.This is one of the strongest points of this study,which also includes the re-ducing mean vacant-forecast rate method,which pos-sesses many advantages with regard to filtering the analog term.Moreover,the similitude degree between samples is assessed using a combination of meteorological elements,which works better than that described using a single element in earlier analog forecast studies.Based on these techniques,the authors apply the model output,air sounding,surface observation and weather map data from 1990 to 2002 to perform an analog experiment of the quasi-stationary front rainstorm.The most important re-sults are as follows:(1) The forecast successful index is 0.36,and was improved after the forecast model was re-vised.(2) The forecast precise rate (0.59) and the lost-forecast rate (0.33) are also better than those of other methods.(3) Based on the model output data,the syn-thetically multilevel analog forecast technology can pro-duce more accurate forecasts of a quasi-stationary front rainstorm.(4) Optimal analog elements reveal that trig-gering mechanisms are located in the lower troposphere while upper level systems are more important in main-taining the phase of the rainstorm.These variables should be first taken into account in operational forecasts of the quasi-stationary front rainstorm.(5) In addition,experi-ments reveal that the position of the key zone is mainly decided by the position of the system causing the heavy rainfall.
机译:作者使用数值模型集成产品在综合多级模拟预测技术的第三级预测中。这是本研究中最强点之一,该研究还包括重新发育的均值预测率法,POS-Sesses过滤模拟术语的许多优点。使用气象元素的组合评估样品之间的模拟程度,其优于使用早期模拟预测研究中的单个元素的优先效果。基于这些技术,作者适用1990年至2002年的模型输出,空气探测,表面观察和天气地图数据进行准防滑前暴雨的模拟实验。最重要的重新调查如下:(1)预测成功指数为0.36,在重新访问预测模型后得到改善。(2)预测的精确率(0.59)和丢失预测率(0.33)也比其他方法更好。(3)基于T他的模型输出数据,同步级多级模拟预测技术可以提高更准确的预测对准固定前暴雨。(4)最佳的模拟元素显示,触发机制位于较低的对流层中,而上级系统在主持暴雨的阶段更为重要。这些变量应该首先考虑到准静止前暴雨的操作预测中。(5)此外,实验表明关键区的位置是主要决定系统的位置导致大雨降雨。

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