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

Marjolein H. J. van Huijgevoort*, Anne F. van Loon, Oldrich Rakovec, Ingjerd Haddeland, Stanislav Horacek, Henny A. J. van Lanen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationGlobal Change
Subtitle of host publicationFacing Risks and Threats to Water Resources
EditorsE Servat, S Demuth, A Dezetter, T Daniell
Place of PublicationWallingford
PublisherInternational Association of Hydrological Scientists
Number of pages9
ISBN (Print)978-1-907161-13-1
Publication statusPublished - 2010
Event6th World FRIEND Conference on Global Change: Facing Risks and Threats to Water Resources - Fez, Morocco
Duration: 25 Oct 201029 Oct 2010

Publication series

NameIAHS Publication
ISSN (Print)0144-7815


Conference6th World FRIEND Conference on Global Change: Facing Risks and Threats to Water Resources


  • hydrological drought
  • drought analysis
  • HBV-model
  • large-scale data
  • forcing data
  • Czech Republic
  • Norway

Cite this