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Analyses through the Metastatistical Extreme Value distribution identify contributions of Tropical Cyclones to rainfall extremes in the Eastern US
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|Created:||Mar 26, 2020 at 12:27 p.m.|
|Last updated:|| Apr 13, 2020 at 1:15 p.m.
|Citation:||See how to cite this resource|
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Tropical Cyclones (TCs) generate extreme precipitation with severe impacts across large coastal and inland areas, calling for accurate frequency estimation methods. Statistical approaches that take into account the physical mechanisms responsible for these extremes can help reducing the estimation uncertainty. Here we formulate a mixed-population Metastatistical Extreme Value Distribution explicitly incorporating non-TC and TC-induced rainfall and evaluate its implications on long series of daily rainfall for six major U.S. urban areas impacted by these storms. We find statistically significant differences between the distributions of TCand non-TC-related precipitation; moreover, including mixtures of distributions improves the estimation of the probability of extreme precipitation where TCs occur more frequently. These improvements are greater when rainfall aggregated over duration longer than one day are considered.
|The content of this resource is derived from||https://www.ncdc.noaa.gov/cdo-web/search|
|The content of this resource is derived from||https://www.aoml.noaa.gov/hrd/hurdat/hurdat2.html|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Foundation "Cassa di Risparmio di Padova e Rovigo"|
|National Science Foundation||Quantification of the Impacts of Urban Areas on Heavy Rainfall and Flooding from North Atlantic Tropical Cyclones||EAR-1840742|
|US Army Corps of Engineers|
|Venice Water Authority||Venice 2021 Project||Line 1.3 Modellazione numerica integrata del sistema bacino scolante-laguna-mare|