Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions
Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions
批准号:
NE/E002013/1
负责人:
Patrick McSharry
金额:
$24.49万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --
中文摘要
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英文摘要
Floods in the UK are often caused by heavy rainfall lasting from minutes to weeks. Houses in flat areas are particularly at risk: meeting the shortage of houses in the south-east requires building on these areas. To estimate the flood hazard risk in order to try to protect these buildings, accurate rainfall predictions are needed. However, the connection between rainfall and flooding is complicated, so that rainfall predictions must also say how likely rainfall is at any time - calculating the probability of rainfall. Extreme rainfalls caused devastating floods in Boscastle in 2004 and Lynmouth in 1952, but the causes and pattern of rainfall was different. Therefore, scientists also need to know what pattern of rainfall caused the flooding. This research aims to get good quality predictions of the probability of rainfall by combining advanced methods from statistics, the output from a new supercomputer model of the weather, and a new computer archive of exteme rainfalls going back to 1860, provided by a specialist company Hydro-GIS Ltd. It also aims to produce an automatic system for discovering the most likely pattern in the predicted rainfalls. The new prediction system and data will be freely available over the internet for use by the government and universities.
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Generalized Linear Models for Site-Specific Density Forecasting of U.K. Daily Rainfall
英国每日降雨量特定地点密度预测的广义线性模型
DOI:
10.1175/2008mwr2614.1
发表时间:
2009
期刊:
Monthly Weather Review
影响因子:
3.2
作者:
[McSharry P]
通讯作者:
McSharry P
A comparative study of the magnitude, frequency and distribution of intense rainfall in the United Kingdom
英国强降雨强度、频率及分布对比研究
DOI:
10.1002/joc.2024
发表时间:
2009
期刊:
International Journal of Climatology
影响因子:
--
作者:
[Rodda J]
通讯作者:
Rodda J
Bayesian objective classification of extreme UK daily rainfall for flood risk applications
针对洪水风险应用的英国极端每日降雨量的贝叶斯客观分类
DOI:
10.5194/hessd-5-3033-2008
发表时间:
2008
期刊:
影响因子:
--
作者:
[Little M]
通讯作者:
Little M
A digital archive of extreme rainfalls in the British Isles from 1866 to 1968 based on British Rainfall
基于英国降雨量的 1866 年至 1968 年不列颠群岛极端降雨量的数字档案
DOI:
10.1002/wea.354
发表时间:
2009
期刊:
Weather
影响因子:
1.9
作者:
[Rodda H]
通讯作者:
Rodda H
Probability, uncertainty and risk in the natural environment
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批准号:NE/J017361/1
-
项目类别:Research Grant
-
资助金额:$5.53万
-
财政年份:2012
-
负责人:Patrick McSharry
-
依托单位:
海外基金