As high-resolution climate models become increasingly complex, it should be carefully assessed to what extent the improved physics in such models justifies the large computational cost that the complexity imposes. This paper presents a detailed sensitivity study of convective precipitation characteristics to the number of prognostic moments in bulk microphysics schemes using a high-resolution convection-resolving climate model. It is shown that 1-moment and 2-moment microphysics schemes produce more similar surface precipitation characteristics for a composite of 20 real-case convective simulations in Belgium than for many idealized studies conducted before. In the baseline 2-moment scheme, size sorting of particles is counteracted by collisional drop breakup to produce mean drop sizes that are similar to those in the 1-moment version of the scheme. Hence, fallout, evaporation and surface rain rates are very similar between the two versions of the scheme. Conversely, larger sensitivities of precipitation extremes were found to the treatment of drop breakup and the shape of the particle size distributions. Consistent with previous studies, domain-averaged and peak precipitation increased monotonically with increasing breakup equilibrium diameter D-eq. Further, it is shown that a negative exponential size distribution results in excessive radar reflectivities for light rain rates. Surface precipitation and the joint distribution of reflectivity and rain rate are best reproduced by a 2-moment version of the scheme that applies gamma distributions with a diagnostic shape parameter for all particles and a large D-eq. However, given the large sensitivities and uncertainties associated with collisional drop breakup and size sorting, it is likely that the full potential of improved physics in a 2-moment scheme will remain underexposed as long as these processes are not better understood. (C) 2014 Elsevier B.V. All rights reserved.
机构:
Brookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA
Katholieke Univ Leuven, Dept Earth & Environm Sci, Heverlee, BelgiumBrookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA
Van Weverberg, Kwinten
van Lipzig, Nicole P. M.
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Katholieke Univ Leuven, Dept Earth & Environm Sci, Heverlee, BelgiumBrookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA
van Lipzig, Nicole P. M.
Delobbe, Laurent
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Royal Meteorol Inst, Uccle, BelgiumBrookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA