Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 400732
Title Drought assessment using local and large-scale forcing data in small catchments
Author(s) Huijgevoort, M.H.J. van; Loon, A.F. van; Rakovec, O.; Haddeland, I.; Horacek, S.; Lanen, H.A.J. van
Source In: Global Change: Facing Risks and Threats to Water Resources / Servat, E., Demuth, S., Dezetter, A., Daniell, T., Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK : IAHS - ISBN 9781907161131 - p. 77 - 85.
Department(s) Hydrology and Quantitative Water Management
Earth System Science
Publication type Peer reviewed book chapter
Publication year 2010
Abstract Drought is a natural hazard that occurs all over the world with significant impacts. For drought analysis, long time series of hydrometeorological variables are required. In many catchments around the world, insufficient hydrometeorological observations are available. Recently, global gridded re-analysis meteorological datasets with coarse spatial resolutions (0.5º × 0.5º) became available. In this study, the potential use of a largescale dataset at catchment scale was investigated by comparison of drought characteristics. A conceptual, hydrological model was 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: Narsjø (Norway) and Upper-Metuje (Czech Republic). Similar results were 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
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