Drought assessment using local and large-scale forcing data in small catchments

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020711%3A_____%2F10%3A00003064" target="_blank" >RIV/00020711:_____/10:00003064 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Drought assessment using local and large-scale forcing data in small catchments
Original language description
Drought is a natural hazard that occurs all over the world with significant impacts. In this study, the potential use of a large-scale dataset at catchment scale was investigated by comparison of drought characteristics. A conceptual, hydrological modelwas forced with local and large-scale data to simulate time series of discharge, from which hydrological droughts were identified. The study was carried out in two contrasting catchments: Narsj? (Norway) and Upper-Metuje (Czech Republic). Similar resultswere obtained from drought analysis using either local or large-scale data. This holds for several drought characteristics. These results are encouraging for use of large-scale forcing data for drought research in small catchments with no, or limited observations.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DA - Hydrology and limnology
OECD FORD branch
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Project
<a href="/en/project/7A08036" target="_blank" >7A08036: WATer and global CHange</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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