Assessing the Influence of Soil Moisture on Seasonal Climate Variability with AGCMs

Abstract Ensembles of boreal summer atmospheric simulations, spanning a 15-yr period (1979–93), are performed with the Action de Recherche Petite Echelle Grande Echelle (ARPEGE) climate model to investigate the possible influence of soil moisture (SM) on climate variability and predictability. All experiments are forced with observed sea surface temperatures. In addition to a control experiment using interactive SM boundary conditions, two sensitivity experiments are performed with a relaxation of total SM toward different monthly mean datasets: the ARPEGE climatology and the Global Soil Wetness Project climatology. Both sensitivity experiments indicate that damping the SM variability leads to a clear and robust reduction in low-level temperature variability over most areas in the Tropics and the summer extratropics. Variability in precipitation is not necessarily reduced because the effect of reduced evaporation variability can be offset by an increase in the mean precipitation. Such an increase is howev...

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