A continuous buoyancy based convection scheme: One- and three-dimensional validation

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 63, Issue 4, 2011, Pages 687-706

  Gueremy, J F ^a  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERE-OCEAN COUPLING; ATMOSPHERIC CONVECTION; ATMOSPHERIC GENERAL CIRCULATION MODEL; BUOYANCY; CLIMATE MODELING; CUMULUS; ENTRAINMENT; MASS TRANSPORT; MODEL VALIDATION; OCEANIC GENERAL CIRCULATION MODEL; ONE-DIMENSIONAL MODELING; PRECIPITATION (CLIMATOLOGY); THREE-DIMENSIONAL MODELING;

EID: 79960388596     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.1111/j.1600-0870.2011.00521.x     Document Type: Article

References (49)

1. Arakawa, A. 2004. The cumulus parameterization problem: past, present and future. J. Clim. 17, 2493-2525.
2. Arakawa, A. and Schubert, W. H. 1974. Interaction of a cumulus cloud ensemble with the large-scale environment: Part I. J. Atmos. Sci. 31, 674-701.
3. Bechtold, P., Redelsperger, J.-L., Beau, I., Blackburn, M., Brinkop, S. and co-authors. 2000. A GCSS model intercomparison for a tropical squall line observed during TOGA-COARE. II: intercomparison of single-column models and a cloud-resolving model. Q. J. R. Meteorol. Soc. 126, 865-888.
4. Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M. and co-authors. 2008. Advances in simulating atmospheric variability with the ECMWF model: from synoptic to decadal time-scales. Q. J. R. Meteorol. Soc. 134, 1337-1351.
5. Betts, A. K. and Miller, M. J. 1986. A new convective adjustment scheme. Part II: single-column tests using GATE wave, BOMEX, ASTEX, and arctic air-mass data sets. Q. J. R. Meteorol. Soc. 112, 693-709.
6. Bougeault, P. 1985. A simple parameterization of the large-scale effects of cumulus convection. Mon. Weather Rev. 113, 2108-2121.
7. Bretherton, C. S., Mc Caa, J. R. and Grenier, H. 2004. A new parameterization for shallow cumulus convection and its application to marine subtropical cloud-topped boundary layers. Part I: description and 1D results. Mon. Weather Rev. 132, 864-882.
8. Céron, J.-P. and Guérémy, J.-F. 1999. Validation of the space-time variability of African easterly waves simulated by the CNRM GCM. J. Clim. 12, 2831-2855.
9. Chen, D. H. and Bougeault, P. 1992. A simple prognostic closure assumption to deep convective parameterization: I. Acta Meteorologica Sinica 7, 1-18.
10. Cuxart, J., Bougeault, P. and Redelsperger, J. -L. 2000. A turbulence scheme allowing for mesoscale and large-eddy simulations. Q. J. R. Meteorol. Soc. 126, 1-30.
11. Donner, L. J. 1993. A cumulus parameterization including mass fluxes, vertical momentum dynamics, and mesoscale effects. J. Atmos. Sci. 50, 889-906.
12. Emanuel, K. A. 1991. A scheme for representing cumulus convection in large-scale models. J. Atmos. Sci. 48, 2313-2335.
13. Geleyn, J.-F., Bazile, E., Bougeault, P., Déqué, M., Ivanovici, V. and co-authors. 1994. Atmospheric parametrisation schemes in Météo-France's ARPEGE N.W.P. model. ECMWF Seminar 94: Physical Parametrisations in Numerical Models, 385-402.
14. Gibelin, A.-L. and Déqué, M. 2003. Anthropogenic climate change over the Mediterranean region simulated by a global variable resolution model. Clim. Dyn. 20, 327-339.
15. Gill, A. E. 1980. Some simple solutions for heat-induced tropical circulation. Q. J. R. Meteorol. Soc. 106, 447-462.
16. Gregory, D. and Rowntree, P. R. 1990. A mass flux convection scheme with representation of cloud ensemble characteristics and stability-dependent closure. Mon. Weather Rev. 118, 1483-1506.
17. Guichard, F., Petch, J. C., Redelsperger, J.-L., Bechtold, P., Chaboureau, J.-P. and co-authors. 2004. Modelling the diurnal cycle of deep precipitating convection over land with cloud-resolving models and single-column models. Q. J. R. Meteorol. Soc. 130, 3139-3172.
18. Huffman, G. J., Adler, R. F., Arkin, P., Chang, A., Ferraro, R. and co-authors. 1997. The Global Precipitation Climatology Project (GPCP) Combined Precipitation Dataset. Bull. Am. Meteorol. Soc. 78, 5-20.
19. Jorgensen, D. P., Le Mone, M. A. and Trier, S. B. 1997. Structure and evolution of the 22 February 1993 TOGA-COARE squall line: observations of precipitation, circulation, and surface energy fluxes. J. Atmos. Sci. 54, 1961-1985.
20. Kain, J. S. and Fritsch, J. M. 1990. A one-dimensional entraining/detraining plume model and its application in convective parameterizations. J. Atmos. Sci. 47, 2784-2802.
21. Kershaw, R. and Gregory, D. 1997. Parameterization of momentum transport by convection - I: theory and cloud modelling results. Q. J. R. Meteorol. Soc. 123, 1133-1151.
22. Kessler, E. 1969. On the distribution and continuity of water substance in atmospheric circulations. Met. Mon. 10, American Met. Soc., 84 pp.
23. Kiehl, J. T. and Trenberth, K. E. 1997. Earth's annual global mean energy budget. Bull. Am. Meteorol. Soc. 78, 197-208.
24. Liebmann, B. and Smith, C. A. 1996. Description of a complete (interpolated) outgoing longwave radiation dataset. Bull. Am. Meteor. Soc. 77, 1275-1277.
25. Lin, J.-N., Kiladis, G. N., Mapes, B. E., Weickmann, K. M., Sperber, K. R. and co-authors. 2006. Tropical intraseasonal variability in 14 IPCC AR4 climate models. Part I: convective Signals. J. Clim. 19, 2665-2690.
26. Liu, J. Y. and Orville, H. D. 1969. Numerical modeling of precipitation and cloud shadow effects on mountain-induced cumuli. J. Atmos. Sci. 26, 1283-1298.
27. Lopez, P. 2002. Implementation and validation of a new prognostic large-scale cloud and precipitation scheme for climate and data-assimilation purposes. Q. J. R. Meteorol. Soc. 128, 229-257.
28. Louis, J. F. 1979. A parametric model of vertical eddy fluxes in the atmosphere. Bound. Layer Meteorol. 17, 187-202.
29. Madec, G. 2008. "NEMO reference manual, ocean dynamics component: NEMO-OPA preliminary version". Note du Pole de modélisation, Institut Pierre-Simon Laplace (IPSL), France, No 27 ISSN No 1288-1619.
30. Manabe, S., Smagorinsky, J. and Strickler, R. F. 1965. Simulated climatology of a general circulation model with a hydrological cycle. Mon. Weather Rev. 93, 769-798.
31. Matsuno, T. 1966. Quasi-geostrophic motions in the equatorial area. J. Meteorol. Soc. Japan 44, 25-43.
32. Morcrette, J.-J. 1990. Impact of changes to the radiation transfer parameterizations plus cloud optical properties in the ECMWF model. Q. J. R. Meteorol. Soc. 111, 691-708.
33. Nitta, T. and Esbensen, S. 1974. Heat and moisture budget analyses using BOMEX data. Mon. Weather Rev. 102, 17-28.
34. Nordeng, T. E. 1994. Extended versions of the convective parametrization scheme at ECMWF and their impact on the mean and transient activity of the model in the tropics. Technical Memorandum N. 206, ECMWF, Reading, UK
35. Randall, D. A., Wood, R. A., Bony, S., Colman, R., Fichefet, T. and co-authors. 2007. Climate Models and Their Evaluation. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA
36. Redelsperger, J.-L., Brown, P. R. A., Guichard, F., Hoff, C., Kawasima, M. and co-authors. 2000. A GCSS model intercomparison for a tropical squall line observed during TOGA-COARE. I: Cloud-resolving models. Q. J. R. Meteorol. Soc. 126, 823-863.
37. Siebesma, A. P. and Cuijpers, J. W. M. 1995. Evaluation of parametric assumptions for shallow cumulus convection. J. Atmos. Sci. 52, 650-666.
38. Siebesma, A. P., Bretherton, C. S., Brown, A., Chlond, A., Cuxart, J. and co-authors. 2003. A large eddy simulation intercomparison study of shallow cumulus convection. J. Atmos. Sci. 60, 1201-1219.
39. Simpson, J. 1971. On cumulus entrainment and one-dimensional models. J. Atmos. Sci. 28, 449-455.
40. Simpson, J. and Wiggert, V. 1969. Models of precipitating cumulus towers. Mon. Weather Rev. 97, 471-489.
41. Smith, R. N. B. 1990. A scheme for predicting layer clouds and their water content in a GCM. Q. J. R. Meteorol. Soc. 116, 435-460.
42. Tiedtke, M. 1989. A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Weather Rev. 117, 1779-1800.
43. Turner, J. S. 1963. The motion of buoyant elements in turbulent surroundings. J. Fluid Mech. 16, 1-16.
44. Uppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., Da Costa Bechtold, V. and co-authors. 2005. The ERA-40 re-analysis. Quart. J. R. Meteorol. Soc. 131, 2961-3012.
45. Wheeler, M. and Kiladis, G. N. 1999. Convectively coupled equatorial waves: analysis of clouds and temperature in the wavenumber-frequency domain. J. Atmos. Sci. 56, 374-399.
46. Xie, P. and Arkin, P. 1996. Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions. J. Clim. 9, 840-858.
47. Xie, S., Xu, K.-M., Cederwall, R. T., Bechtold, P., Del Genio, A. D. and co-authors. 2002. Intercomparison and evaluation of cumulus parameterizations under summertime midlatitude continental conditions. Q. J. R. Meteorol. Soc. 128, 1095-1136.
48. Yanai, M., Esbensen, S. and Chu, J. H. 1973. Determination of bulk properties of tropical cloud clusters from large-scale heat and moisture budgets. J. Atmos. Sci. 30, 611-627.
49. Zhang, G. J. and McFarlane, N. A. 1995. Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Center general circulation model. Atmos-Ocean 33, 407-446.