Cloud System Modeling

This chapter provides an overview of the cloud system modeling. Cloud-resolving models (CRMs) are numerical models that explicitly represent the cloud-scale circulations and their interactions with microphysical, radiative, and small-scale turbulent processes. Most CRMs are two-dimensional (2-D) models, which allow them to simulate the mesoscale organization of cloud systems over multiday time periods. In contrast, three-dimensional (3-D) large-eddy simulation models are limited to simulating large turbulent eddies over periods of several hours, and one-dimensional (1-D) column models must parameterize the cloud-scale circulations as well as the turbulence. Two-dimensional CRMs are used to study a variety of cloud types and systems. The scales of motion that are explicitly represented depend on the cloud system of interest. The time scales and space scales of a CRM used to simulate a convective cloud system to those of global climate models (GCMs) are compared. The effects of scales of motion that are not resolved are parameterized using a turbulence closure. The chapter explains that new observations of clouds will allow more thorough evaluations of the microphysical and radiative transfer parameterizations employed in CRMs.

[1]  A. Arakawa,et al.  A numerical study of a marine subtropical stratus cloud layer and its stability , 1980 .

[2]  P. Bougeault The diurnal cycle of the marine stratocumulus layer: a higher-order model study , 1985 .

[3]  Stephen J. Lord,et al.  Role of a Parameterized Ice-Phase Microphysics in an Axisymmetric, Nonhydrostatic Tropical Cyclone Model , 1984 .

[4]  F. Guichard,et al.  A gcss model intercomparison for a tropical squall line observed during toga‐coare. I: Cloud‐resolving models , 2000 .

[5]  Q. Fu,et al.  Improvements of an ice-phase microphysics parameterization for use in numerical simulations of tropical convection , 1995 .

[6]  Wojciech W. Grabowski,et al.  Cloud-resolving modeling of cloud systems during Phase III of GATE. Part II: Effects of resolution and the third spatial dimension , 1998 .

[7]  Xiaoqing Wu,et al.  Long-Term Behavior of Cloud Systems in TOGA COARE and Their Interactions with Radiative and Surface Processes. Part I: Two-Dimensional Modeling Study , 1998 .

[8]  Gerald G. Mace,et al.  A Cloud Climatology of the Southern Great Plains ARM CART , 2000 .

[9]  Wojciech W. Grabowski,et al.  Cloud-Resolving Modeling of Tropical Cloud Systems during Phase III of GATE. Part I: Two-Dimensional Experiments. , 1996 .

[10]  A. Arakawa,et al.  The Macroscopic Behavior of Cumulus Ensembles Simulated by a Cumulus Ensemble Model , 1992 .

[11]  Jielun Sun,et al.  The Subgrid Velocity Scale in the Bulk Aerodynamic Relationship for Spatially Averaged Scalar Fluxes , 1995 .

[12]  C. Bretherton,et al.  Moisture Transport, Lower-Tropospheric Stability, and Decoupling of Cloud-Topped Boundary Layers , 1997 .

[13]  M. Mcphaden,et al.  Enhancement of Tropical Ocean Evaporation and Sensible Heat Flux by Atmospheric Mesoscale Systems , 1996 .

[14]  S. Krueger Linear Eddy Modeling of Entrainment and Mixing in Stratus Clouds , 1993 .

[15]  Q. Fu Parameterization of radiative processes in vertically nonhomogeneous multiple scattering atmospheres , 1991 .

[16]  R. Chervin,et al.  Global distribution of total cloud cover and cloud type amounts over the ocean , 1988 .

[17]  S. Krueger,et al.  Modeling the trade cumulus boundary layer , 1994 .

[18]  C. Moeng Large-Eddy Simulation of a Stratus-Topped Boundary Layer. Part I: Structure and Budgets , 1986 .

[19]  A. Slingo,et al.  An Observational and Theoretical Study of Highly Supercooled Altocumulus , 1991 .

[20]  J. Deardorff Cloud Top Entrainment Instability , 1980 .

[21]  S. Klein,et al.  On the Relationships among Low-Cloud Structure, Sea Surface Temperature, and Atmospheric Circulation in the Summertime Northeast Pacific , 1995 .

[22]  D. F. Young,et al.  Integration of satellite and surface data using a radiative-convective oceanic boundary-layer model , 1992 .

[23]  E. F. Bradley,et al.  Flux-Profile Relationships in the Atmospheric Surface Layer , 1971 .

[24]  B. Ryan,et al.  On the Global Variation of Precipitating Layer Clouds , 1996 .

[25]  Jeng-Ming Chen Turbulence-Scale Condensation Parameterization , 1991 .

[26]  D. Randall,et al.  Conditional instability of the first kind upside-down. [in stratocumulus clouds] , 1980 .

[27]  P. Hignett Observations of Diurnal Variation in a Cloud-capped Marine Boundary Layer , 1991 .

[28]  Joanne Simpson,et al.  Comparison of Ice-Phase Microphysical Parameterization Schemes Using Numerical Simulations of Tropical Convection , 1991 .

[29]  Steven K. Krueger,et al.  Numerical simulation of tropical cumulus clouds and their interaction with the subcloud layer , 1988 .

[30]  C. Bretherton,et al.  Numerical Simulations and a Conceptual Model of the Stratocumulus to Trade Cumulus Transition , 1997 .

[31]  J. Deardorff,et al.  Parameterization of the Planetary Boundary layer for Use in General Circulation Models1 , 1972 .

[32]  D. Lilly Models of cloud-topped mixed layers under a strong inversion , 1968 .

[33]  G. Sommeria,et al.  Three-Dimensional Simulation of Turbulent Processes in an Undisturbed Trade Wind Boundary Layer , 1976 .

[34]  Modification of Surface Fluxes by Atmospheric Convection in the TOGA COARE Region , 1996 .

[35]  Shuairen Liu Numerical modeling of altocumulus cloud layers , 1998 .

[36]  Kuan-Man Xu,et al.  Evaluation of cloudiness parameterizations using a cumulus ensemble model , 1991 .

[37]  H. Riehl,et al.  The north‐east trade of the Pacific Ocean , 1951 .

[38]  W. Schubert,et al.  Mixed-Layer Mode Simulation of Eastern North Pacific Stratocumulus , 1981 .

[39]  Y. Ogura,et al.  Response of Tradewind Cumuli to Large-Scale Processes , 1980 .

[40]  W. Tao,et al.  Response of Deep Tropical Cumulus Clouds to Mesoscale Processes , 1980 .

[41]  A. Beljaars The parametrization of surface fluxes in large-scale models under free convection , 1995 .

[42]  Stephen K. Cox,et al.  Cirrus Clouds. Part II: Numerical Experiments on the Formation and Maintenance of Cirrus , 1985 .

[43]  D. Randall Stratocumulus cloud deepening through entrainment , 1984 .

[44]  David A. Randall,et al.  Explicit Simulation of Cumulus Ensembles with the GATE Phase III Data: Comparison with Observations , 1996 .

[45]  W. Schubert,et al.  Marine Stratocumulus Convection. part II: Horizontally Inhomogeneous Solutions , 1979 .

[46]  Q. Fu,et al.  Numerical simulation of the stratus-to-cumulus transition in the subtropical marine boundary layer. Part II: boundary-layer circulation , 1995 .

[47]  S. Burk,et al.  Turbulent transport from an arctic lead: A large-eddy simulation , 1992 .

[48]  D. Randall,et al.  Physical Processes within the Nocturnal Stratus-Topped Boundary Layer. Revision , 1992 .

[49]  A. P. Siebesma,et al.  Evaluation of Parametric Assumptions for Shallow Cumulus Convection , 1995 .

[50]  Andrew J. Heymsfield,et al.  A scheme for parameterizing ice cloud water content in general circulation models , 1990 .

[51]  Q. Fu,et al.  Interactions of Radiation and Convection in Simulated Tropical Cloud Clusters , 1995 .