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Teutschbein, ClaudiaORCID iD iconorcid.org/0000-0002-3344-2468
Biography [eng]

My Research

  • Reducing uncertainties in hydrological climate change impact research to allow for robust streamflow simulations
  • Hydrological droughts now and in the future: Swedish hotspots of hazard, vulnerability, and risk
  • Hydrological modeling for climate change impact assessment

Degrees

  • 2013: Ph.D. Physical Geography, Stockholm University, Sweden
  • 2010: Ph.Lic. Physical Geography, Stockholm University, Sweden
  • 2008: M.Sc. Soil Science, SLU Uppsala, Sweden
  • 2006: B.Sc. Water Management, TU Dresden, Germany
Biography [swe]

My Research

  • Reducing uncertainties in hydrological climate change impact research to allow for robust streamflow simulations
  • Hydrological droughts now and in the future: Swedish hotspots of hazard, vulnerability, and risk
  • Hydrological modeling for climate change impact assessment

Degrees

  • 2013: Ph.D. Physical Geography, Stockholm University, Sweden
  • 2010: Ph.Lic. Physical Geography, Stockholm University, Sweden
  • 2008: M.Sc. Soil Science, SLU Uppsala, Sweden
  • 2006: B.Sc. Water Management, TU Dresden, Germany
Publications (1 of 1) Show all publications
Teutschbein, C., Wetterhall, F. & Seibert, J. (2011). Evaluation of different downscaling techniques for hydrological climate-change impact studies at the catchment scale. Climate Dynamics, 37(9-10), 2087-2105
Open this publication in new window or tab >>Evaluation of different downscaling techniques for hydrological climate-change impact studies at the catchment scale
2011 (English)In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 37, no 9-10, p. 2087-2105Article in journal (Refereed) Published
Abstract [en]

Hydrological modeling for climate-change impact assessment implies using meteorological variables simulated by global climate models (GCMs). Due to mismatching scales, coarse-resolution GCM output cannot be used directly for hydrological impact studies but rather needs to be downscaled. In this study, we investigated the variability of seasonal streamflow and flood-peak projections caused by the use of three statistical approaches to downscale precipitation from two GCMs for a meso-scale catchment in southeastern Sweden: (1) an analog method (AM), (2) a multi-objective fuzzy-rule-based classification (MOFRBC) and (3) the Statistical DownScaling Model (SDSM). The obtained higher-resolution precipitation values were then used to simulate daily streamflow for a control period (1961-1990) and for two future emission scenarios (2071-2100) with the precipitation-streamflow model HBV. The choice of downscaled precipitation time series had a major impact on the streamflow simulations, which was directly related to the ability of the downscaling approaches to reproduce observed precipitation. Although SDSM was considered to be most suitable for downscaling precipitation in the studied river basin, we highlighted the importance of an ensemble approach. The climate and streamflow change signals indicated that the current flow regime with a snowmelt-driven spring flood in April will likely change to a flow regime that is rather dominated by large winter streamflows. Spring flood events are expected to decrease considerably and occur earlier, whereas autumn flood peaks are projected to increase slightly. The simulations demonstrated that projections of future streamflow regimes are highly variable and can even partly point towards different directions.

Keywords
GCM, Statistical downscaling, Hydrological impact modeling, Precipitation, Temperature, Streamflow, HBV, Climate change, Sweden
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-504 (URN)10.1007/s00382-010-0979-8 (DOI)000296476600023 ()
Available from: 2015-04-17 Created: 2015-04-15 Last updated: 2018-01-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-3344-2468

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