Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI: | http://purl.tuc.gr/dl/dias/466BDB96-CA79-433D-83ED-78F738AA96F5 | ||
| Έτος | 2006 | ||
| Τύπος | Περίληψη Δημοσίευσης σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | I.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. | ||
| Εμφανίζεται στις Συλλογές |
Precipitation is the most important and well studied hydro-meteorological variable andits characteristics and variability have challenged various scientific fields like water resourcesmanagement and climate change. As a hydrological model input, precipitationis a space and time dependent variable with an uncertainty introduced due to instrumentor measurement errors. This paper presents an uncertainty assessment of precipitationtime series using the Data Uncertainty Engine (DUE), a tool developed withinthe framework of the EC-funded project HarmoniRiB (Harmonised Techniques andRepresentative River Basin Data for Assessment and Use of Uncertainty Informationin Integrated Water Management). The precipitation series are from the GeropotamouWatershed, Crete, Greece. The results of this study will help identify the uncertainty inthe precipitation measurements and will provide decision makers with more reliableinformation from both raw data and models.
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