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Uncertainty assessment in historical precipitation time series

Daliakopoulos Ioannis, Koutroulis Aristeidis, Tsanis Giannis

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URIhttp://purl.tuc.gr/dl/dias/466BDB96-CA79-433D-83ED-78F738AA96F5-
Identifierhttp://meetings.copernicus.org/www.cosis.net/abstracts/EGU06/03034/EGU06-J-03034.pdf-
Languageen-
TitleUncertainty assessment in historical precipitation time seriesen
CreatorDaliakopoulos Ioannisen
CreatorΔαλιακοπουλος Ιωαννηςel
CreatorKoutroulis Aristeidisen
CreatorΚουτρουλης Αριστειδηςel
CreatorTsanis Giannisen
CreatorΤσανης Γιαννηςel
Content SummaryPrecipitation is the most important and well studied hydro-meteorological variable and its characteristics and variability have challenged various scientific fields like water resources management and climate change. As a hydrological model input, precipitation is a space and time dependent variable with an uncertainty introduced due to instrument or measurement errors. This paper presents an uncertainty assessment of precipitation time series using the Data Uncertainty Engine (DUE), a tool developed within the framework of the EC-funded project HarmoniRiB (Harmonised Techniques and Representative River Basin Data for Assessment and Use of Uncertainty Information in Integrated Water Management). The precipitation series are from the Geropotamou Watershed, Crete, Greece. The results of this study will help identify the uncertainty in the precipitation measurements and will provide decision makers with more reliable information from both raw data and models.en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-09-
Date of Publication2006-
SubjectHydrometeorological cyclesen
SubjectHydrometeorological periodicityen
Subjecthydrometeorology periodicityen
Subjecthydrometeorological cyclesen
Subjecthydrometeorological periodicityen
Bibliographic CitationI.N. Daliakopoulos, A.G. Koutroulis and I.K. Tsanis, "Uncertainty assessment in historical precipitation time series, in European Geosciences Union General Assembly Vienna", Geophysical Research Abstracts, 02-07 April 2006.en

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