In the present study, we investigate diagnostics that can be derived both from observations and model data in order to evaluate the accuracy of soil moisture-climate interactions in current models. The derived diagnostics are applied to IPCC AR4 simulations and used to constrain the related climate-change projections with regard to changes in climate mean and variability. Possible impacts for biogeochemical exchanges and land carbon uptake are also addressed.
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