Modeling impacts of climate change on evapotranspiration and soil moisture spatial patterns in an alpine catchment. Johannes Brenner 1,2 , Giacomo Bertoldi 1 , Stefano Della Chiesa 1 , Georg Niedrist 1 , Ulrike Tappeiner 1,3 , and Axel Bronstert 2 1 Institute for Alpine Environment, EURAC research, Bolzano, Italy. 2 Institute for Earth and Environmental Sciences, University of Potsdam, Germany. 3 Institute of Ecology, University of Innsbruck, Austria 1
Modeling impacts of climate change on evapotranspiration and soil moisture spatial patterns in an alpine catchment.
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Modeling impacts of climate change on evapotranspiration and soil
moisture spatial patterns in an alpine catchment.
Johannes Brenner1,2, Giacomo Bertoldi1, Stefano Della Chiesa1, Georg Niedrist1, Ulrike Tappeiner1,3, and
Axel Bronstert2
1Institute for Alpine Environment, EURAC research, Bolzano, Italy. 2Institute for Earth and Environmental Sciences, University of Potsdam, Germany.3Institute of Ecology, University of Innsbruck, Austria
1
Introduction
General Motivation
• Mountains Region are considered particularly vulnerable to CC 1, esp.
considering the alterations of the water cycle 2
• Complex topography scale vs. computational effort
Aims
• temporal & spatial investigation of climate change impact on
evapotranspiration and soil moisture in a dry alpine valley
• Identify topographic/landcover characteristics of esp. vulnerable
regions
1 Brunetti et al. (2006). Temperature and precipitation variability in Italy in the last two centuries from homogenised instrumental time series.
International Journal of Climatology, 26(3), 345–381.
2 Bates et al. (2008). Climate Change and water. IPCC Technical Paper VI (p. 214). Geneva, Switzerland: IPCC Secretariat. Retrieved from http://www.ipcc.ch 2
1 Van der Linden, P., & Mitchell, J. (2009). ENSEMBLES: Climate change and its impacts at seasonal, decadal and centennial timescales (p. 160). Exeter, UK.
Retrieved from http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf
1 Fiddes, J., & Gruber, S. (2012). TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales.
Geoscientific Model Development Discussions, 5(5), 1245–1257.
2 Hartigan, J. A., & Wong, M. A. (1979). A K-Means Clustering Algorithm. Journal of the Royal Statistical Society. Series C (Applied Statistics), 28(1), 100–108.
Clustering
• sampling of most important aspects of landsurface heterogeneities and land cover