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Meteorological Applications
Article . 2009 . Peer-reviewed
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Meteorological Applications
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Analysis of extreme rainfall in Barcelona using a microscale rain gauge network

Authors: M. Carmen Casas; Raül Rodríguez; Ángel Redaño;

Analysis of extreme rainfall in Barcelona using a microscale rain gauge network

Abstract

AbstractExtreme storms registered by the urban rain gauge network installed and supported by CLABSA (Clavegueram de Barcelona S. A.) in Barcelona in the period 1994–2001 have been investigated. Eleven rain events presenting intensities for durations between 5 min and 24 h with return periods equal to or larger than 5 years for any of the network gauges have been found. A cluster analysis has yielded four main classes of extreme rainfall events in this area, related to the meteorological scales involved: local (18%), mesoscale (37%) and synoptic storms (27%), as well as more complex rain events originated by multiscale mechanisms acting together (18%). An intensity index to classify extreme rainfall events in order to their complexity and severity, taking into account the contribution of the different scales implied in the rainfall processes, has been calculated. The frequency distribution of the intensity index values obtained for the urban network has resulted very similar to that calculated for rain data recorded by the Jardí gauge of the Observatory Fabra of Barcelona during 1927–1992 inclusive. Copyright © 2009 Royal Meteorological Society

Country
Spain
Keywords

Rain and rainfall, Storms, Tempestats, Àrees temàtiques de la UPC::Física::Astronomia i astrofísica, Rain gauges, Pluja

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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24
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Published in a Diamond OA journal