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Diagnostic statistics of daily rainfall variability in an evolving climate

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dc.contributor.author Panagoulia, D en
dc.contributor.author Bardossy, A en
dc.contributor.author Lourmas, G en
dc.date.accessioned 2014-03-01T01:23:59Z
dc.date.available 2014-03-01T01:23:59Z
dc.date.issued 2006 en
dc.identifier.issn 16807340 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17156
dc.subject Rainfall Variability en
dc.subject.other atmospheric circulation en
dc.subject.other catchment en
dc.subject.other climatology en
dc.subject.other general circulation model en
dc.subject.other global warming en
dc.subject.other precipitation intensity en
dc.subject.other rainfall en
dc.subject.other stochasticity en
dc.subject.other Central Greece en
dc.subject.other Eurasia en
dc.subject.other Europe en
dc.subject.other Greece en
dc.subject.other Mesochora en
dc.subject.other Southern Europe en
dc.subject.other Thessaly en
dc.subject.other Trikala en
dc.title Diagnostic statistics of daily rainfall variability in an evolving climate en
heal.type journalArticle en
heal.identifier.primary 10.5194/adgeo-7-349-2006 en
heal.identifier.secondary http://dx.doi.org/10.5194/adgeo-7-349-2006 en
heal.publicationDate 2006 en
heal.abstract To investigate the character of daily rainfall variability under present and future climate described via global warming a suite of diagnostic statistics was used. The rainfall was modeled as a stochastic process coupled with atmospheric circulation. In this study we used an automated objective classification of daily patterns based on optimized fuzzy rules. This kind of classification method provided circulation patterns suitable for downscaling of General Circulation Model (GCM)-generated precipitation. The precipitation diagnostics included first and second order moments, wet and dry-day renewal process probabilities and spell lengths as well as low-frequency variability via the standard deviation of monthly totals. These descriptors were applied to nine elevation zones and entire area of the Mesochora mountainous catchment in Central Greece for observed, 1×CO2 and 2×CO2 downscaled precipitation. The statistics' comparison revealed significant differences in the most of the daily diagnostics (e.g. mean wet-day amount, 95th percentile of wet-day amount, dry to wet probability), spell statistics (e.g. mean wet/dry spell length), and low-frequency diagnostic (standard deviation of monthly precipitation total) between warm (2×CO2) and observed scenario in a progressive rate from lower to upper zone. The differences were very greater for the catchment area. In the light of these results, an increase in rainfall occurrence with diminished rainfall amount and a sequence of less consecutive dry days could describe the behaviour of a possible future climate on the examined catchment. en
heal.journalName Advances in Geosciences en
dc.identifier.doi 10.5194/adgeo-7-349-2006 en
dc.identifier.volume 7 en
dc.identifier.spage 349 en
dc.identifier.epage 354 en


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