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  • 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 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.
  • 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 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. (en)
Title
  • Drought assessment using local and large-scale forcing data in small catchments
  • Drought assessment using local and large-scale forcing data in small catchments (en)
skos:prefLabel
  • Drought assessment using local and large-scale forcing data in small catchments
  • Drought assessment using local and large-scale forcing data in small catchments (en)
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  • RIV/00020711:_____/10:00003064!RIV11-MSM-00020711
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  • P(7A08036)
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  • 340
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  • RIV/00020711:_____/10:00003064
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  • hydrological drought; drought analysis; HBV-model; large-scale data; forcing data; Czech Republic; Norway (en)
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  • GB - Spojené království Velké Británie a Severního Irska
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  • [951269D6D516]
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  • Horáček, Stanislav
  • van Huijgevoort, Marjolein H. J.
  • Lanen, Henny A. J. van
  • Haddeland, Ingjerd
  • Rakovec, Oldřich
  • van Loon, Anne F.
issn
  • 0144-7815
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