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Journal Article

Soil control on runoff response to climate change in regional climate model simulations

MPS-Authors
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Hagemann,  Stefan
The Land in the Earth System, MPI for Meteorology, Max Planck Society;
Terrestrial Hydrology, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

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JClim_18-3536.pdf
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Citation

Van den Hurk, B., Hirschi, M., Schar, C., Lenderink, G., Van Meijgaard, E., Van Ulden, A., et al. (2005). Soil control on runoff response to climate change in regional climate model simulations. Journal of Climate, 18(17), 3536-3551.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0011-FE86-6
Abstract
Simulations with seven regional climate models driven by a common control climate simulation of a GCM carried out for Europe in the context of the (European Union) EU-funded Prediction of Regional scenarios and Uncertainties for Defining European Climate change risks and Effects (PRUDENCE) project were analyzed with respect to land surface hydrology in the Rhine basin. In particular, the annual cycle of the terrestrial water storage was compared to analyses based on the 40-yr ECMWF Re-Analysis (ERA-40) atmospheric convergence and observed Rhine discharge data. In addition, an analysis was made of the partitioning of convergence anomalies over anomalies in runoff and storage. This analysis revealed that most models underestimate the size of the water storage and consequently overestimated the response of runoff to anomalies in net convergence. The partitioning of these anomalies over runoff and storage was indicative for the response of the simulated runoff to a projected climate change consistent with the greenhouse gas A2 Synthesis Report on Emission Scenarios (SRES). In particular, the annual cycle of runoff is affected largely by the terrestrial storage reservoir. Larger storage capacity leads to smaller changes in both wintertime and summertime monthly mean runoff. The sustained summertime evaporation resulting from larger storage reservoirs may have a noticeable impact on the summertime surface temperature projections.