首页> 外文会议>IUGG General Assembly >Downscaling medium-range ensemble forecasts using a neural network approach
【24h】

Downscaling medium-range ensemble forecasts using a neural network approach

机译:使用神经网络方法缩小中距离总体预报

获取原文

摘要

In this study, we present an application of self-organizing maps (SOMs) to downscaling weekly ensemble forecasts for probabilistic prediction of local precipitation in Japan. SOM is simultaneously employed on four elemental variables derived from the JRA55 reanalysis over area of study (Southwestern Japan), whereby a two-dimensional lattice of weather patterns (WPs) dominated during the 1958-2008 period is obtained. Down-scaling weekly ensemble forecasts to local precipitation are conducted by using the obtained SOM lattice based on the WPs of the global model ensemble forecast. A probabilistic local precipitation is easily and quickly obtained from the ensemble forecast. The predictability skill of the ensemble forecasts for the precipitation is significantly improved under the downscaling technique.
机译:在这项研究中,我们提出了一种自组织图(SOM)的应用,以降低每周总体预报的规模,以预测日本当地的降水。 SOM同时应用于研究区域(日本西南部)从JRA55重新分析得出的四个元素变量,从而获得了1958-2008年期间主导的天气模式(WPs)的二维晶格。通过使用基于全局模型集合预报的WP的获得的SOM格,将每周集合预报的规模缩小到局部降水量。从集合预报中可以很容易地获得概率的局部降水。在降尺度技术的作用下,集合预报的可预报性技能得到了显着提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号