Atmospheric Rivers and the Land Surface: drivers of extreme floods.

这个case支持的奖学金旨在提高我们对极端洪水发生的理解，并将这些知识纳入英国洪水预测工具和长期评估中，以改善洪水准备工作。具体而言，该项目力求从主要大气条件和集水区特征的影响两方面了解冬季洪水的产生。该项目将使用世界上最长的气象和水文数据集。洪水是英国的主要自然灾害。大气河（ARs），即温带气旋中狭窄的强水汽输送带，可以导致英国西部和北部一些最严重的冬季洪水，但并不是每个AR都会导致洪水，有些冬季洪水没有AR就会发生。该项目旨在确定原因，并将研究结果应用于可操作的洪水预报工具。培训机会：培训将在雷丁大学、ECMWF（雷丁）和环境署（布里斯托尔）之间进行。将提供气象和水文数据分析、方案编制、地理信息系统的先进使用和统计模型方面的培训。将有机会参观研究地点，学生将成为大学，ecmwf和环境署环境科学家的大型社区的一员。

This CASE-supported studentship aims to improve our understanding of extreme flood occurrence and to incorporate this knowledge into UK flood forecast tools and longer-term assessments to improve flood preparedness. Specifically, the project seeks to understand winter flood generation both in terms of the prevailing atmospheric conditions and the influence of catchment characteristics. The project will use some of the longest meteorological and hydrological datasets available in the World.Flooding is the major UK natural hazard. Atmospheric rivers (ARs), narrow bands of intense water vapour transport in extratropical cyclones can cause some of the biggest winter floods in western and northern Britain, yet not every AR causes a flood and some winter floods occur without an AR present. This project aims to determine why, and put the findings into operational flood forecast tools.Training opportunities: The training will be split between the University of Reading, ECMWF (Reading) and the Environment Agency (Bristol). Training will be given in meteorological and hydrological data analysis, programming, advanced use of Geographical Information Systems and statistical modelling. There will be opportunities to visit the study sites and the student will be part of a large community of environmental scientists at the University, ECMWFand the Environment Agency.