A comprehensive two‐moment warm microphysical bulk scheme. II: 2D experiments with a non‐hydrostatic model

A new bulk microphysical scheme containing advanced parametrizations to predict both concentration and mixing ratio of cloud droplets and raindrops (see Part I) is implemented in a three-dimensional non-hydrostatic model. This paper presents results obtained with the complete scheme for two specific experiments of idealized precipitating clouds. In the first case, an orographic cloud is produced at the windward edge of a plateau. The study focuses on the sensitivity of the microphysical fields and precipitation patterns to the upwind cloud condensation nuclei (CCN) activation spectrum. In the second case, a heavily precipitating tropical rainband of the Hawaiian Rainband Project is simulated in a kinematic framework. Analysis of simulated radar-reflectivity time evolution indicates that a realistic development of large raindrops can be obtained as compared to either observations or to results produced by a bin-resolving model. The overall control of raindrop tail distribution by collisional break-up is re-emphasized in the light of earlier results. The rather simple tests lead to the conclusion that a complete bulk microphysical scheme can simulate warm rain processes with reasonable accuracy. The ability of the model to account for realistic CCN activation spectra with modest programming effort makes the scheme suitable for three-dimensional precipitation simulations that properly take into consideration aerosol dynamics at mesoscale.

[1]  R. Rauber,et al.  The Microphysical Structure and Evolution of Hawaiian Rainband Clouds. Part II: Aircraft Measurements within Rainbands Containing High Reflectivity Cores , 1998 .

[2]  Véronique Ducrocq,et al.  The Meso-NH Atmospheric Simulation System. Part I: adiabatic formulation and control simulations , 1997 .

[3]  The Microphysical Structure and Evolution of Hawaiian Rainband Clouds. Part I: Radar Observations of Rainbands Containing High Reflectivity Cores , 1997 .

[4]  William R. Cotton,et al.  Fitting Microphysical Observations of Nonsteady Convective Clouds to a Numerical Model: An Application of the Adjoint Technique of Data Assimilation to a Kinematic Model , 1993 .

[5]  Yefim L. Kogan,et al.  Parameterization of bulk condensation in numerical cloud models , 1994 .

[6]  B. Ferrier,et al.  A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part I: Description , 1994 .

[7]  Roy Rasmussen,et al.  On the Dynamics of Hawaiian Cloud Bands: Island Forcing , 1988 .

[8]  J. Cohard,et al.  Extending Twomey’s Analytical Estimate of Nucleated Cloud Droplet Concentrations from CCN Spectra , 1998 .

[9]  W. Cotton,et al.  New RAMS cloud microphysics parameterization part I: the single-moment scheme , 1995 .

[10]  H. Ochs,et al.  Simple two-dimensional kinematic framework designed to test warm rain microphysical models , 1998 .

[11]  A. B. Long Solutions to the Droplet Collection Equation for Polynomial Kernels , 1974 .

[12]  P. Smolarkiewicz A Fully Multidimensional Positive Definite Advection Transport Algorithm with Small Implicit Diffusion , 1984 .

[13]  Jean-Pierre Pinty,et al.  A comprehensive two‐moment warm microphysical bulk scheme. I: Description and tests , 2000 .

[14]  William R. Cotton,et al.  New RAMS cloud microphysics parameterization. Part II: The two-moment scheme , 1997 .

[15]  N. Chaumerliac,et al.  Effects of Different Rain Parameterizations on the Simulation of Mesoscale Orographic Precipitation , 1989 .

[16]  Development of giant drops and high-reflectivity cores in Hawaiian clouds: numerical simulations using a kinematic model with detailed microphysics , 1998 .

[17]  Huw C. Davies,et al.  Limitations of Some Common Lateral Boundary Schemes used in Regional NWP Models , 1983 .

[18]  Edwin X. Berry,et al.  An Analysis of Cloud Drop Growth by Collection Part II. Single Initial Distributions , 1974 .

[19]  D. Durran,et al.  A Compressible Model for the Simulation of Moist Mountain Waves , 1983 .