Evaluation of statistical distributions for the Parametrization of subgrid boundary-layer clouds

Boundary-Layer Meteorology

Volumn 140, Issue 2, 2011, Pages 263-294

  Perraud, Emilie ^a   Couvreux, Fleur ^a   Malardel, Sylvie ^a   Lac, Christine ^a   Masson, Valéry ^a   Thouron, Odile ^b  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^b CERFACS   (France)

Author keywords

Double Gaussian distribution; Large eddy simulations; Planetary boundary layer clouds; Probability density function; Saturation deficit; Statistical cloud scheme

Indexed keywords

DOUBLE GAUSSIAN DISTRIBUTION; PLANETARY BOUNDARY-LAYER CLOUDS; PROBABILITY DENSITIES; SATURATION DEFICIT; STATISTICAL CLOUD SCHEME;

BOUNDARY LAYERS; CLIMATE MODELS; GAUSSIAN DISTRIBUTION; LARGE EDDY SIMULATION; PROBABILITY DENSITY FUNCTION; WATER CONTENT;

CLOUDS;

BOUNDARY LAYER; CUMULUS; GAUSSIAN METHOD; LARGE EDDY SIMULATION; PROBABILITY DENSITY FUNCTION; WATER CONTENT;

EID: 79960052802     PISSN: 00068314     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10546-011-9607-3     Document Type: Article

References (35)

1. Bechtold P, Cuijpers JWM, Mascart P, Trouilhet P (1995) Modeling of trade wind cumuli with a low-order turbulence model: toward a unified description of Cu and Sc clouds in meteorological models. J Atmos Sci 52: 455-463.
2. Bony S, Emanuel KA (2001) A parametrization of the cloudiness associated with cumulus convection; evaluation using Toga Coare data. J Atmos Sci 58: 3158-3183.
3. Bougeault P (1981) Modeling the trade-wind cumulus boundary layer. Part 1: testing the ensemble cloud relations against numerical data. J Atmos Sci 38: 2414-2428.
4. Bougeault P (1982) Cloud-ensemble relations based on the gamma probability distribution for the higher-order models of the planetary boundary layer. J Atmos Sci 39: 2691-2700.
5. Brown AR, Cederwall RT, Chlond A, Duynkerke PG, Golaz JC, Khairoutdinov M, Lewellen DC, Lock AP, Macvean MK, Moeng CH, Neggers RAJ, Siebesma AP, Stevens B (2002) Large-eddy simulation of the diurnal cycle of shallow cumulus convection over land. Q J Roy Meteorol Soc 128: 1075-1093.
6. Chaboureau JP, Bechtold P (2002) A simple cloud parameterization derived from cloud resolving model data: diagnostic and prognostic applications. J Atmos Sci 59: 2362-2372.
7. Chaboureau JP, Bechtold P (2005) Statistical representation of clouds in a regional model and the impact on the diurnal cycle of convection during tropical convection, cirrus and nitrogen oxides (troccinox). J Geophys Res 110: D17103.
8. Chosson F, Brenguier JL, Schuller L (2007) Entrainment-mixing and radiative transfer simulation in boundary layer clouds. J Atmos Sci 64: 2670-2682.
9. Couvreux F, Hourdin F, Rio C (2010) Resolved versus parametrized boundary-layer plumes. part i: A parametrization-oriented conditional sampling in large-eddy simulations. Boundary-Layer Meterol 134: 441-458.
10. Cuijpers JWM, Bechtold P (1995) A simple parameterization of cloud water related variables for use in boundary layer models. J Atmos Sci (Notes and correspondence) 52: 2486-2490.
11. Cuxart J, Bougeault P, Redelsperger JL (2000) A turbulence scheme allowing for mesoscale and large-eddy simulations. Q J Roy Meteorol Soc 126: 1-30.
12. Dempster A, Laird N, Rubin D (1997) Maximum likelihood from incomplete data via the em algorithm. J Roy Stat Soc Ser B 39: 1-38.
13. Golaz JC, Larson VE, Cotton W (2002a) A PDF-based model for boundary layer clouds. Part I: method and model description. J Atmos Sci 59: 3540-3551.
14. Golaz JC, Larson VE, Cotton W (2002b) A PDF-based model for boundary layer clouds. Part II: model results. J Atmos Sci 59: 3552-3571.
15. Hogg RV, Craig AI (2005) Introduction to mathematical statistics. Pearson Education, Upper Saddle River.
16. Holland JZ, Rasmusson EM (1973) Measurement of atmospheric mass, energy and momentum budgets over a 500-kilometer square of tropical ocean. Mon Weather Rev 101: 44-55.
17. Jam A, Hourdin F, Rio C, Couvreux F (2010) Vers un modele de nuage pour la representation des cumulus. In: Preprints of Ateliers de Modelisation de l'Atmosphere, Annual meeting, Meteo-France, Toulouse.
18. Lafore JP, Stein J, Asencio N, Bougeault P, Ducrocq V, Duron J, Fischer C, Héreil P, Mascart P, Masson V, Pinty JP, Redelsperger JL, Richard E, Vilà-Guerau de Arellano J (1998) The meso-NH atmospheric simulation system. Part 1: adiabatic formulation and control simulations. Ann Geophys 16: 90-109.
19. Lappen CL (1999) The unification of mass flux and higher-order closure in the simulation of boundary layer turbulence. PhD thesis, Colorado State University.
20. Larson VE, Wood R, Field PR, Golaz JC, Vonder Haar TH, Cotton WR (2001) Small-scale and mesoscale variability of scalars in cloudy boundary layers: one-dimensional probability density functions. J Atmos Sci 58: 1978-1994.
21. Larson VE, Golaz JC, Cotton WR (2002) Small-scale and mesoscale variability in cloudy boundary layers: Joint probability density functions. J Atmos Sci 59: 3519-3539.
22. Lenderink G, Siebesma P (2000) Combining the mass-flux approach with a statistical cloud scheme. Proceedings of the 14th symposium on Boundary Layers and Turbulence. Aspen, Co, USA, pp 66-69.
23. Lewellen WS, Yoh S (1993) Binormal model of ensemble partial cloudiness. J Atmos Sci 50: 1228-1237.
24. McLachlan G, Krishnan T (1997) The EM algorithm and extensions. Wiley series in probability and statistics. Wiley, New York, p 274 pp.
25. Mellor GL (1977) The gaussian cloud model relations. J Atmos Sci 34: 356-358.
26. Neggers RAJ (2009) A dual mass flux framework for boundary layer convection. Part II: clouds. J Atmos Sci 66: 1489-1506.
27. Pergaud J, Masson V, Malardel S, Couvreux F (2009) A parameterization of dry thermals and shallow cumuli for mesoscale numerical weather prediction. Boundary-Layer Meteorol 132: 83-106.
28. Raes F, Bates T, McGovern F, van Liedekerke M (2000) The 2nd aerosol characterization experiment (ACE2): general overview and main results. Tellus 52B: 111-125.
29. Siebesma AP, Bretherton CS, Brown A, Chlond A, Cuxart J, Duynkerke PG, Jiang H, Khairoutdinov M, Lewellen D, Moeng CH, Sanchez E, Stevens B, Stevens DE (2003) A large eddy simulation intercomparison study of shallow cumulus convection. J Atmos Sci 60: 1201-1219.
30. Smith RNB (1990) A scheme for predicting layer clouds and their water content in a general circulation model. Q J Roy Meteorol Soc 116: 435-460.
31. Sommeria G, Deardorff JW (1977) Subgrid-scale condensation in models of nonprecipitating clouds. J Atmos Sci 34: 344-355.
32. Stephens G, Vane D, Boain R, Mace G, Sassen K, Wang Z, Illingworth A, O'Connor E, RossowW, Durden S, Miller S, Austin R, Benedetti A, Mitrescu C, The CloudSat Science Team (2002) The cloudsat mission and the A-train: a new dimension of space-based observations of clouds and precipitation. Bull Am Meteorol Soc 83: 1771-1790.
33. Tompkins AM (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.
34. Tompkins AM (2003) Impact of temperature and humidity variability on cloud cover assessed using aircraft data. Q J Roy Meteorol Soc 129: 2151-2170.
35. van Zanten MC, Stevens B, Nuijens L, Siebesma AP, Ackerman AS, Burnet F, Cheng A, Couvreux F, Jiang H, Khairoutdinov M, Kogan Y, Lewellen C, Mechem D, Nakamura K, Noda A, Shipway BJ, Slawinska J, Wang S, Wyszogrodzki A (2011) Controls on precipitation and cloudiness in simulations of trade-wind cumulus as observed during RICO. J Adv Model Earth Syst 3 (in press).