A PDF-based microphysics parameterization for simulation of drizzling boundary layer clouds

Journal of the Atmospheric Sciences

Volumn 66, Issue 8, 2009, Pages 2317-2334

  Cheng, Anning ^a   Xu, Kuan Man ^b  

^a ANALYTICAL SERVICES AND MATERIALS INC   (United States)

^b NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL EXPRESSIONS; AUTOCONVERSION; BOUNDARY LAYER CLOUDS; CLOUD AMOUNT; CONVERSION RATES; DEEP CONVECTIVE CLOUDS; EVAPORATION RATE; GAUSSIANS; HIGHER ORDER; LIQUID WATER; LONG TERM SIMULATION; MICROPHYSICAL PROCESS; MICROPHYSICS; MICROPHYSICS PARAMETERIZATION; MIXING RATIOS; PARAMETERIZATIONS; POTENTIAL TEMPERATURE; SATURATION DEFICIT; SINGLE-COLUMN MODEL; SUBGRID SCALE; THIRD ORDER MOMENT; TURBULENCE CLOSURES; VERTICAL VELOCITY; WATER MIXING RATIO;

ATMOSPHERIC THERMODYNAMICS; BOUNDARY LAYERS; CLOUDS; DISTRIBUTION FUNCTIONS; EVAPORATION; FORESTRY; LARGE EDDY SIMULATION; LIQUIDS; MIXING; PHYSICS; PROBABILITY DENSITY FUNCTION; VAPORS;

PARAMETERIZATION;

BOUNDARY LAYER; CLOUD MICROPHYSICS; CONVECTIVE CLOUD; LARGE EDDY SIMULATION; MODELING; PARAMETERIZATION; PROBABILITY DENSITY FUNCTION; STRATOCUMULUS;

EID: 70349300424     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JAS2944.1     Document Type: Article

References (34)

1. Bechtold, P., J. P. Pinty, and P. Mascart, 1993: The use of partial cloudiness in a warm-rain parameterization: A subgrid-scale precipitation scheme. Mon. Wea. Rev., 121, 3301-3311.
2. Bougeault, P., 1981: Modeling the trade-wind cumulus boundary-layer. Part I: Testing the ensemble cloud relations against numerical data. J. Atmos. Sci., 38, 2414-2428.
3. Bretherton, C. S., and Coauthors, 1999: An intercomparison of radiatively driven entrainment and turbulence in a smoke cloud, as simulated by different numerical models. Quart. J. Roy. Meteor. Soc., 125, 391-423.
4. Chen, J.-M., 1991: Turbulence-scale condensation parameterization. J. Atmos. Sci., 48, 1510-1512.
5. Cheng, A., and K.-M. Xu, 2006: Simulation of shallow cumuli and their transition to deep convective clouds by cloud-resolving models with different third-order turbulence closures. Quart. J. Roy. Meteor. Soc., 132, 359-382.
6. Cheng, A., and K.-M. Xu, 2008: Simulation of boundary-layer cumulus and stratocumulus clouds using a cloud-resolving model with low and third-order turbulence closures. J. Meteor. Soc. Japan, 86A, 67-86.
7. Cheng, A., K.-M. Xu, and J.-C. Golaz, 2004: Liquid water oscillation in modeling boundary-layer cumuli with third-order turbulence closure models. J. Atmos. Sci., 61, 1621-1629.
8. de Roode, S. R., and P. G. Duynkerke, 1997: Observed Lagrangian transition of stratocumulus into cumulus during ASTEX: Mean state and turbulence structure. J. Atmos. Sci., 54, 2157-2173.
9. Golaz, J.-C., V. E. Larson, and W. R. Cotton, 2002a: A PDF-based model for boundary layer clouds. Part I: Method and model description. J. Atmos. Sci., 59, 3540-3551.
10. Golaz, J.-C., V. E. Larson, and W. R. Cotton, 2002b: A PDF-based model for boundary layer clouds. Part II: Model results. J. Atmos. Sci., 59, 3552-3571.
11. Jakob, C., and S. A. Klein, 2000: A parameterization of the effects of cloud and precipitation overlap for use in general-circulation models. Quart. J. Roy. Meteor. Soc., 126, 2525-2544.
12. Kessler, E., III, 1969: On the Distribution and Continuity of Water Substance in Atmospheric Circulation. Meteor. Monogr., No. 32, Amer. Meteor. Soc., 84 pp.
13. Khairoutdinov, M. F., and D. A. Randall, 2003: Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities. J. Atmos. Sci., 60, 607-625.
14. Klemp, J. B., and R. Wilhelmson, 1978: The simulation of three-dimensional convective storm dynamics. J. Atmos. Sci., 35, 1070-1096.
15. Larson, V. E., R. Wood, P. R. Field, J.-C. Golaz, and T. H. Vonder Haar, 2001a: Systematic biases in the microphysics and thermodynamics of numerical models that ignore subgrid-scale variability. J. Atmos. Sci., 58, 1117-1128.
16. Larson, V. E., R. Wood, P. R. Field, J.-C. Golaz, T. H. Vonder Haar, and W. R. Cotton, 2001b: Small-scale and mesoscale variability of scalars in cloudy boundary layers: One-dimensional probability density functions. J. Atmos. Sci., 58, 1978-1994.
17. Larson, V. E., J.-C. Golaz, and W. R. Cotton, 2002: Small-scale and mesoscale variability in cloudy boundary layers: Joint probability density functions. J. Atmos. Sci., 59, 3519-3539.
18. Larson, V. E., J.-C. Golaz, H. Jiang, and W. R. Cotton, 2005: Supplying local microphysics parameterizations with information about subgrid variability: Latin hypercube sampling. J. Atmos. Sci., 62, 4010-4026.
19. Lewellen, W. S., and S. Yoh, 1993: Binormal model of ensemble partial cloudiness. J. Atmos. Sci., 50, 1228-1237.
20. Marshall, J. S., and W. M. Palmer, 1948: The distribution of raindrops with size. J. Meteor., 5, 165-166.
21. Mellor, G. L., 1977: The Gaussian cloud model relations. J. Atmos. Sci., 34, 356-359.
22. Pincus, R., and S. A. Klein, 2000: Unresolved spatial variability and microphysical process rates in large-scale models. J. Geophys. Res., 105, 27 059-27 065.
23. Pincus, R., H. W. Barker, and J.-J. Morcrette, 2003: A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields. J. Geophys. Res., 108, 4376, doi:10.1029/ 2002JD003322.
24. Räisänen, P., and H. W. Barker, 2004: Evaluation and optimization of sampling errors for the Monte Carlo independent column approximation. Quart. J. Roy. Meteor. Soc., 130, 2069-2085.
25. Rauber, R. M., and Coauthors, 2007: Rain in shallow cumulus over the ocean: The RICO campaign. Bull. Amer. Meteor. Soc., 88, 1912-1928.
26. Smith, R. N. B., 1990: A scheme for predicting layer clouds and their water-content in a general-circulation model. Quart. J. Roy. Meteor. Soc., 116, 435-460.
27. Sommeria, G., and J. W. Deardorff, 1977: Subgrid-scale condensation in models of nonprecipitating clouds. J. Atmos. Sci., 34, 344-355.
28. Stevens, B., and Coauthors, 2001: Simulations of trade wind cumuli under a strong inversion. J. Atmos. Sci., 58, 1870-1891.
29. Sundqvist, H., 1978: A parameterization scheme for non-convective condensation including prediction of cloud water content. Quart. J. Roy. Meteor. Soc., 104, 677-690.
30. Tompkins, A. M., 2002: A prognostic parameterization for the subgrid-scale variability of water vapor and clouds in large-scale models and its use to diagnose cloud cover. J. Atmos. Sci., 59, 1917-1942.
31. Woods, R., P. R. Field, and W. R. Cotton, 2002: Autoconversion rate biases in stratiform boundary layer cloud parameterizations. Atmos. Res., 65, 109-128, doi:10.1016/S0169-8095(02)00071-6.
32. Xu, K.-M., and D. A. Randall, 1995: Impact of interactive radiative transfer on the macroscopic behavior of cumulus ensembles. Part I: Radiation parameterization and sensitivity tests. J. Atmos. Sci., 52, 785-799.
33. Zhang, J., U. Lohmann, and B. Lin, 2002: A new statistically based autoconversion rate parameterization for use in large-scale model. J. Geophys. Res., 107, 4750, doi:10.1029/2001JD001484.
34. Zhu, P., and Coauthors, 2005: Intercomparison and interpretation of single-column model simulations of a nocturnal stratocumulus-topped marine boundary layer. Mon. Wea. Rev., 133, 2741-2758.