Atmospheric river orientation determines flood occurrence

被引:13
作者
Griffith, Helen V. [1 ]
Wade, Andrew J. [1 ]
Lavers, David A. [2 ]
Watts, Glenn [3 ]
机构
[1] Univ Reading, Dept Geog & Environm Sci, Reading, Berks, England
[2] European Ctr Medium Range Weather Forecasts, Forecast Dept, Reading, Berks, England
[3] Environm Agcy, Res Dept, Bristol, Avon, England
关键词
atmospheric rivers; catchments; ERA5; flood forecasting; flooding; orographic effect; precipitation; UK; FREQUENCY;
D O I
10.1002/hyp.13905
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Atmospheric Rivers (ARs) have been linked to many of the largest recorded UK winter floods. These large-scale features can be 500-800 km in width but produce markedly different flood responses in adjacent catchments. Here we combine meteorological and hydrological data to examine why two impermeable catchments on the west coast of Britain respond differently to landfalling ARs. This is important to help better understand flood generation associated with ARs and improve flood forecasting and climate-change impact assessment. Analysis of 32 years of a newly available ERA5 high-resolution atmospheric reanalysis and corresponding 15-min river flow data show that the most impactful ARs arise through a combination of the orientation and magnitude of their water vapour flux. At the Dyfi catchment, AR orientations of between 238-258 degrees result in the strongest hydrological responses, whereas at the Teifi the range is 224-243 degrees. We believe this differential flood response is the result of catchment orientation and topography enhancing or suppressing orographic rainfall totals, even in relatively low-relief coastal catchments. Further to the AR orientation, ARs must have an average water vapour flux of 400-450 kg m(-1)s(-1)across their lifetime. Understanding the preferential properties of impactful ARs at catchments allows for the linking of large-scale synoptic features, such as ARs, directly to winter flood impacts. These results using two test catchments suggest a novel approach to flood forecasts through the inclusion of AR activity.
引用
收藏
页码:4547 / 4555
页数:9
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