@inproceedings{47095d5c16c6486bb602a415f0c5f652,
title = "Drought assessment using local and large-scale forcing data in small catchments",
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 (0.5 degrees x 0.5 degrees) became available. In this study, the potential use of a large-scale 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: Narsjo (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.",
keywords = "hydrological drought, drought analysis, HBV-model, large-scale data, forcing data, Czech Republic, Norway",
author = "{van Huijgevoort}, {Marjolein H. J.} and {van Loon}, {Anne F.} and Oldrich Rakovec and Ingjerd Haddeland and Stanislav Horacek and {van Lanen}, {Henny A. J.}",
year = "2010",
language = "English",
isbn = "978-1-907161-13-1",
series = "IAHS Publication",
publisher = "International Association of Hydrological Scientists",
pages = "77--85",
editor = "E Servat and S Demuth and A Dezetter and T Daniell",
booktitle = "Global Change",
note = "6th World FRIEND Conference on Global Change: Facing Risks and Threats to Water Resources ; Conference date: 25-10-2010 Through 29-10-2010",
}