Observational evidence points to an increase of convective precipitation intensity with temperature beyond the Clausius-Clapeyron rate of 7%/K [1-6], ruling out basic thermodynamics as a null-model. Here we perform large eddy simulations (LES) of the convective dynamics by imposing an idealized diurnal cycle of surface temperature. Convective events interact and self-organize, increase in intensity and area throughout the day, and largest intensities occur far later than the peak in rain area. By tracking events, we follow event histories throughout their life cycles, and find that colliding events react strongly to changes in boundary conditions, e.g. increased surface temperature, while solitary events remain unaffected. Intensication can also be reached by unchanged mean temperature but allowing more time for self-organization. This suggests, that the convective field as a whole acquires a memory of past precipitation and inter-cloud dynamics, driving precipitation intensity. Together, our results imply that convective precipitation intensities result from dynamical interactions between clouds and temperature increase is only one way how greater interaction can be achieved. The findings may have implications for the diurnal cycle of convection and its parameterization in large scale models.
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09.09.2015
13:30 Uhr