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Analysis of a scheme to dynamically model the orographic enhancement of precipitation in the UK

机译:动态模型英国沉淀地区地理增强的方案分析

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Gauge data in upland regions of the UK is sparse and often misrepresents intense precipitation events over small catchments. The production of flash flood warnings relies on high resolution input from the radar composite. It is therefore important that radar measurements of rainfall rate are as accurate as possible and account for the effects of orographic enhancements well. Within the Met Office, the Alpert & Shafir (1989) physically-based method of calculating the orographic enhancement of precipitation has recently replaced the previously operational climatology based one described by Hill (1983). The Alpert & Shafir model takes into account wind speed, wind direction, relative humidity, temperature and the topography of the region. The benefits of using a physical model are numerous. The corrections can be defined at much higher spatial resolution, with the possibility of introducing new fields, such as the vertical wind profile, and making further improvements to the physical model. The offline and operational trial results, as well as results from a post implementation analysis show that accuracy of the precipitation estimates is improved when using Alpert & Shafir's method.
机译:衡量英国高地地区的数据稀疏,常常歪曲小集水区的剧烈降水事件。闪光警告的生产依赖于雷达复合材料的高分辨率输入。因此,重要的是降雨率的雷达测量尽可能准确,并占地形增强效果的影响。在MET办公室内,Alpert&Shafir(1989)基于物理为基础的计算沉淀的地形增强方法最近取代了山丘(1983)所描述的先前操作的气候学。 Alpert&Shafir模型考虑了风速,风向,相对湿度,温度和该区域的地形。使用物理模型的好处很多。可以以更高的空间分辨率来定义校正,其可能引入新的字段,例如垂直风剖面,并进一步改进物理模型。离线和操作试验结果,以及后实施分析的结果表明,使用Alpert&Shafir的方法时,降水估计的准确性得到改善。

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