TY - GEN
T1 - Drought assessment using local and large-scale forcing data in small catchments
AU - Van Huijgevoort, Marjolein H.J.
AU - Van Loon, Anne F.
AU - Rakovec, Oldřich
AU - Haddeland, Ingjerd
AU - Horáček, Stanislav
AU - Van Lanen, Henny A.J.
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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° × 0.5°) 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: 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.
AB - 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° × 0.5°) 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: 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.
KW - Czech Republic
KW - Drought analysis
KW - Forcing data
KW - HBV-model
KW - Hydrological drought
KW - Large-scale data
KW - Norway
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M3 - Conference contribution
AN - SCOPUS:79952645910
SN - 9781907161131
T3 - IAHS-AISH Publication
SP - 77
EP - 85
BT - Global Change
T2 - 6th World FRIEND Conference "Global Change: Facing Risks and Threats to Water Resources", FRIEND 2010
Y2 - 25 October 2010 through 29 October 2010
ER -