Toward Cloud Resolving Modeling of Large-Scale Tropical Circulations: A Simple Cloud Microphysics Parameterization
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In this paper, an extension of the classical warm rain bulk parameterization is presented, where the saturation conditions are prescribed based on saturation with respect to ice, not water, and growth characteristics and terminal velocities of precipitation particles are representative for ice particles, not raindrops.Abstract:
This paper discusses cloud microphysical processes essential for the large-scale tropical circulations and the tropical climate, as well as the strategy to include them in large-scale models that resolve cloud dynamics. The emphasis is on the ice microphysics, which traditional cloud models consider in a fairly complex manner and where a simplified approach is desirable. An extension of the classical warm rain bulk parameterization is presented. The proposed scheme retains simplicity of the warm rain parameterization (e.g., only two classes of condensed water are considered) but introduces two important modifications for temperatures well below freezing:1) the saturation conditions are prescribed based on saturation with respect to ice, not water; and 2) growth characteristics and terminal velocities of precipitation particles are representative for ice particles, not raindrops. Numerical tests suggest that, despite its simplicity, the parameterization is able to capture essential aspects of the ...read more
Citations
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Journal ArticleDOI
A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation
TL;DR: In this paper, a revised approach to cloud microphysical processes in a commonly used bulk microphysics parameterization and the importance of correctly representing properties of cloud ice are discussed, and the impact of sedimentation of ice crystals is also investigated.
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Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes
TL;DR: A two-moment cloud microphysics scheme predicting the mixing ratios and number concentrations of five species (i.e., cloud droplets, cloud ice, snow, rain, and graupel) has been implemented into the Weather Research and Forecasting model (WRF) as discussed by the authors.
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Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities
TL;DR: In this article, a 3D cloud resolving model (CRM) was developed to study the statistical properties of cumulus convection and applied to simulate a 28-day evolution of clouds over the Atmospheric Radiation Measurement Program (ARM) Southern Great Plains site during the summer 1997 Intensive Observation Period.
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Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations
TL;DR: The results show realistic behaviors of multi-scale convective systems in the tropics, which have not been captured by AGCMs, and argue future perspective of the roles of the new model in the next generation atmospheric sciences.
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Coupling Cloud Processes with the Large-Scale Dynamics Using the Cloud-Resolving Convection Parameterization (CRCP)
TL;DR: Cloud-Resolving Convection Parameterization (CRCP) as mentioned in this paper is a formal approach to couple small-scale processes associated with atmospheric moist convection with the large-scale dynamics.
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