Atmospheric river orientation determines flood occurrence
| العنوان: | Atmospheric river orientation determines flood occurrence |
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| المؤلفون: | David A. Lavers, Glenn Watts, Andrew J. Wade, Helen Griffith |
| المصدر: | Hydrological Processes. 34:4547-4555 |
| بيانات النشر: | Wiley, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Hydrology, geography, geography.geographical_feature_category, Flood myth, Streamflow, Flood forecasting, Drainage basin, Environmental science, Orography, Precipitation, Atmospheric river, Water Science and Technology, Orographic lift |
| الوصف: | Atmospheric Rivers (ARs) have been linked to many of the largest recorded UK winter floods. These large-scale features can be 500–800 kilometres 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-minute 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 238-258o result in the strongest hydrological responses, whereas at the Teifi the range is 224-243o. 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. |
| تدمد: | 1099-1085 0885-6087 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e1cc93000dfb87ce9166463f984ba35a https://doi.org/10.1002/hyp.13905 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........e1cc93000dfb87ce9166463f984ba35a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10991085 08856087 |
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