...
首页> 外文期刊>Hydrology and Earth System Sciences >Mapping an index of extreme rainfall across the UK
【24h】

Mapping an index of extreme rainfall across the UK

机译:绘制全英极端降雨指数

获取原文
           

摘要

Distance from the sea, proximity of mountains,continentality and elevation are all useful covariates to assist the mapping of extremerainfalls. Regression models linking these and other variables calculated from a digitalterrain model have been built for estimating the median annual maximum rainfall, RMED.This statistic, for rainfall durations between 1 hour and 8 days, is the index variable inthe rainfall frequency analysis for the new UK Flood Estimation Handbook.The interpolation of RMED between raingauge sites is most challengingin mountainous regions, which combine the greatest variation in rainfall with the sparsestnetwork of gauges. Sophisticated variables have been developed to account for theinfluence of topography on extreme rainfall, the geographical orientation of the variablesreflecting the prevailing direction of rain-bearing weather systems. The differentprocesses of short and long-duration extreme rainfall are accounted for by separateregression models. The technique of georegression combines estimates from regressionmodels with a map of correction factors interpolated between raingauge locations using thegeostatistical method of kriging, to produce final maps of RMED across the UK.
机译:距海的距离,山脉的距离,地势和海拔高度都是有用的协变量,可帮助绘制极端降雨。已经建立了将这些变量与从数字地形模型中计算出的其他变量联系起来的回归模型,以估算年最大降雨量中位数RMED。该统计数据在1小时至8天的降雨持续时间中是新英国降雨频率分析中的指标变量洪水估算手册。在山区,雨量计站点之间的RMED插值最具挑战性,它结合了最大的降雨变化和最稀疏的量规网络。已经开发出复杂的变量来说明地形对极端降雨的影响,变量的地理方向反映了带雨天气系统的主要方向。短期和长期极端降雨的不同过程由单独的回归模型解释。 地理回归技术将回归模型的估计值与使用克里格法的地统计学方法在雨量器位置之间插入的校正因子图结合起来,以生成整个英国的RMED最终图。

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