LMDZ5B: The atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection

Climate Dynamics

Volumn 40, Issue 9-10, 2013, Pages 2193-2222

  Hourdin, Frédéric ^a   Grandpeix, Jean Yves ^a   Rio, Catherine ^a   Bony, Sandrine ^a   Jam, Arnaud ^a   Cheruy, Frédérique ^a   Rochetin, Nicolas ^a   Fairhead, Laurent ^a   Idelkadi, Abderrahmane ^a   Musat, Ionela ^a   Dufresne, Jean Louis ^a   Lahellec, Alain ^a   Lefebvre, Marie Pierre ^a,b   Roehrig, Romain ^b  

^a LABORATOIRE DE MÉTÉOROLOGIE DYNAMIQUE   (France)

^b CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

Author keywords

Climate change projections; Climate modeling; Deep convection; Physical parameterizations; Shallow convection

Indexed keywords

ATMOSPHERIC CONVECTION; ATMOSPHERIC GENERAL CIRCULATION MODEL; CLIMATE CHANGE; CLIMATE MODELING; COLD POOL; CONVECTIVE BOUNDARY LAYER; CUMULONIMBUS; CUMULUS; DIURNAL VARIATION; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); RAINFALL; TURBULENCE;

EID: 84876843065     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-012-1343-y     Document Type: Article

References (79)

1. Alexeev VA, Langen PL, Bates JR (2005) Polar amplification of surface warming on an aquaplanet in "ghost forcing" experiments without sea ice feedbacks. Clim Dyn 24: 655-666. doi: 10. 1007/s00382-005-0018-3.
2. Angevine WM, Jiang H, Mauritsen T (2010) Performance of an eddy diffusivity-mass flux scheme for shallow cumulus boundary layers. Mon Weather Rev 138: 2895-2912.
3. Bodas-Salcedo A, Webb MJ, Bony S, Chepfer H, Dufresne JL, Klein SA, Zhang Y, Marchand R, Haynes JM, Pincus R, John VO (2011) COSP: satellite simulation software for model assessment. Bull Am Meteorol Soc 92(8): 1023-1043. doi: 10. 1175/2011BAMS2856. 1.
4. Bony S, Dufresne JL (2005) Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models. Geophys Res Lett 32: 20, 806.
5. Bony S, Emanuel KA (2001) A parameterization of the cloudiness associated with cumulus convection; evaluation using TOGA COARE data. J Atmos Sci 58: 3158-3183.
6. Bony S, Lau KM, Sud YC (1997) Sea surface temperature and large-scale circulation influences on tropical greenhouse effect and cloud radiative forcing. J Clim 10: 2055-2077. doi: 10. 1175/1520-0442(1997)010& 2055: SSTALS> 2. 0. CO; 2.
7. Bony S, Colman R, Kattsov VM, Allan RP, Bretherton CS, Dufresne JL, Hall A, Hallegatte S, Holland MM, Ingram W, Randall DA, Soden BJ, Tselioudis G, Webb MJ (2006) How well do we understand and evaluate climate change feedback processes? J Clim 19: 3445. doi: 10. 1175/JCLI3819. 1.
8. 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 R Meteorol Soc 128: 1075-1093. doi: 10. 1256/003590002320373210.
9. Chatfield RB, Brost RA (1987) A two-stream model of the vertical transport of trace species in the convective boundary layer. J Geophys Res 92: 13, 263-13, 276.
10. Chepfer H, Bony S, Winker D, Chiriaco M, Dufresne JL, Sèze G (2008) Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model. Geophys Res Lett 351: 15. doi: 10. 1029/2008GL034207.
11. Chepfer H, Bony S, Winker D, Cesana G, Dufresne JL, Minnis P, Stubenrauch CJ, Zeng S (2010) The GCM oriented calipso cloud product (CALIPSO-GOCCP). J Geophys Res 115: 16. doi: 10. 1029/2009JD012251.
12. Couvreux F, Guichard F, Redelsperger JL, Kiemle C, Masson V, Lafore JP, Flamant C (2005) Water-vapour variability within a convective boundary-layer assessed by large-eddy simulations and IHOP_2002 observations. Q J R Meteorol Soc 131: 2665-2693.
13. 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 Meteorol 134: 441-458. doi: 10. 1007/s10546-009-9456-5.
14. Deardorff JW (1966) The counter-gradient heat-flux in the lower atmosphere and in the laboratory. J Atmos Sci 23: 503-506.
15. Deardorff JW (1972) Theoretical expression for the countergradient vertical heat flux. J Geophys Res 77: 5900-5904.
16. Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette JJ, Park BK, Peubey C, de Rosnay P, Tavolato C, Thépaut JN, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. doi: 10. 1002/qj. 828.
17. Emanuel KA (1991) A scheme for representing cumulus convection in large-scale models. J Atmos Sci 48: 2313-2335.
18. Emanuel KA (1993) A cumulus representation based on the episodic mixing model: the importance of mixing and microphysics in predicting humidity. AMS Meteorol Monogr 24(46): 185-192.
19. Emanuel KA, Zivkovic-Rothman M (1999) Development and evaluation of a convection scheme for use in climate models. J Atmos Sci 56: 1766-1782. doi: 10. 1175/1520-0469(1999)056& 1766: DAEOAC> 2. 0. CO; 2.
20. Grandpeix J, Lafore J (2010) A density current parameterization coupled with Emanuel's convection scheme. Part I: the models. J Atmos Sci 67: 881-897. doi: 10. 1175/2009JAS3044. 1.
21. Grandpeix J, Lafore J, Cheruy F (2010) A density current parameterization coupled with Emanuel's convection scheme. Part II: 1D simulations. J Atmos Sci 67: 898-922. doi: 10. 1175/2009JAS3045. 1.
22. Grandpeix JY, Phillips V, Tailleux R (2004) Improved mixing representation in Emanuel's convection scheme. Q J R Meteorol Soc 130: 3207-3222.
23. Gregory JM, Ingram WJ, Palmer MA, Jones GS, Stott PA, Thorpe RB, Lowe JA, Johns TC, Williams KD (2004) A new method for diagnosing radiative forcing and climate sensitivity. Geophys Res Lett 31(3): 3205. doi: 10. 1029/2003GL018747.
24. Guemas V, Codron F (2011) Differing impacts of resolution changes in latitude and longitude on the mid-latitudes in the lmdz gcm. J Clim. doi: 10. 1175/2011JCLI4093. 1.
25. Guichard F, Petch JC, Redelsperger JL, Bechtold P, Chaboureau JP, Cheinet S, Grabowski W, Grenier H, Jones CG, Köhler M, Piriou JM, Tailleux R, Tomasini M (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.
26. Held IM, Soden BJ (2006) Robust responses of the hydrological cycle to global warming. J Clim 19: 5686. doi: 10. 1175/JCLI3990. 1.
27. Heymsfield AJ, Donner LJ (1990) A scheme for parameterizing ice-cloud water content in general circulation models. J Atmos Sci 47: 1865-1877. doi: 10. 1175/1520-0469(1990)047& 1865: ASFPIC> 2. 0. CO; 2.
28. Hohenegger C, Bretherton CS (2011) Simulating deep convection with a shallow convection scheme. Atmos Chem Phys Discuss 11(3): 8385-8430.
29. Hou AY, Lindzen RS (1992) The influence of concentrated heating on the Hadley circulation. J Atmos Sci 49: 1233-1241.
30. Hourdin F, Couvreux F, Menut L (2002) Parameterisation of the dry convective boundary layer based on a mass flux representation of thermals. J Atmos Sci 59: 1105-1123.
31. Hourdin F, Musat I, Bony S, Braconnot P, Codron F, Dufresne JL, Fairhead L, Filiberti MA, Friedlingstein P, Grandpeix JY, Krinner G, Levan P, Li ZX, Lott F (2006) The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection. Clim Dyn 27: 787-813. doi: 10. 1007/s00382-006-0158-0.
32. Houze RA (1977) Structure and dynamics of a tropical squall-line system. Mon Weather Rev 105: 1540-1567.
33. Huffman GJ, Adler RF, Morrissey MM, Bolvin DT, Curtis S, Joyce R, McGavock B, Susskind J (2001) Global precipitation at one-degree daily resolution from multisatellite observations. J Hydrometeorol 2: 36. doi: 10. 1175/1525-7541(2001)002& 0036: GPAODD> 2. 0. CO; 2.
34. Hurrell JW, Hack JJ, Shea D, Caron JM, Rosinski J (2008) A new sea surface temperature and sea ice boundary dataset for the community atmosphere model. J Clim 21: 5145. doi: 10. 1175/2008JCLI2292. 1.
35. Jam A, Hourdin F, Rio C, Couvreux F (2011) Resolved versus parametrized boundary-layer plumes. Part iii: a diagnostic boundary-layer cloud parameterization derived from large eddy simulations. submitted to BLM.
36. Khairoutdinov M, Randall D, Demott C (2005) Simulations of the atmospheric general circulation using a cloud-resolving model as a superparameterization of physical processes. J Atmos Sci 62: 2136-2154. doi: 10. 1175/JAS3453. 1.
37. Kiladis GN, Wheeler MC, Haertel PT, Straub KH, Roundy PE (2009) Convectively coupled equatorial waves. Rev Geophys 47: 2003. doi: 10. 1029/2008RG000266.
38. Krinner G, Viovy N, de Noblet-Ducoudré N, Ogée J, Polcher J, Friedlingstein P, Ciais P, Sitch S, Prentice IC (2005) A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Glob Biogeochem Cycles 19: 1015.
39. Kuang Z, Bretherton CS (2006) A mass-flux scheme view of a high-resolution simulation of a transition from shallow to deep convection. J Atmos Sci 63: 1895-1909.
40. Lenderink G, Siebesma PA, Cheinet S, Irons S, Jones GC, Marquet P, Müller F, Olmeda D, Calvo J, Sánchez E, Soares MMP (2004) The diurnal cycle of shallow cumulus clouds over land: a single-column model intercomparison study. Q J R Meteorol Soc 130: 3339-3364. doi: 10. 1256/qj. 03. 122.
41. Lima MA, Wilson JW (2008) Convective storm initiation in a moist tropical environment. Mon Weather Rev 136: 1847. doi: 10. 1175/2007MWR2279. 1.
42. Lindzen RS, Hou A (1988) Hadley circulation for zonally averaged heating centered off the equator. J Atmos Sci 45: 2416-2427.
43. Loeb NG, Wielicki BA, Doelling DR, Smith GL, Keyes DF, Kato S, Manalo-Smith N, Wong T (2009) Toward optimal closure of the earth's top-of-atmosphere radiation budget. J Clim 22(3): 748-766. doi: 10. 1175/2008JCLI2637. 1.
44. Lott F (1999) Alleviation of stationary biases in a GCM through a mountain drag parameterization scheme and a simple representation of mountain lift forces. Mon Weather Rev 127: 788. doi: 10. 1175/1520-0493(1999)127& 0788: AOSBIA> 2. 0. CO; 2.
45. Lott F, Miller M (1997) A new sub-grid scale orographic drag parametrization: its formulation and testing. Q J R Meteorol Soc 123: 101-128.
46. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the scientific basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, Chap 10, pp 747-846.
47. Moeng C, Wyngaard JC (1988) Spectral analysis of large-eddy simulations of the convective boundary layer. J Atmos Sci 45(23): 3573-3587.
48. Morcrette J (1991) Radiation and cloud radiative properties in the European Centre for Medium Range Weather Forecasts forecasting system. J Geophys Res 96: 9121-9132.
49. Neggers RAJ (2009) A dual mass flux framework for boundary layer convection. Part II: clouds. J Atmos Sci 66: 1489-1506.
50. Neggers RAJ, Köhler M, Beljaars ACM (2009) A dual mass flux framework for boundary layer convection. Part I: transport. J Atmos Sci 66: 1465.
51. Oettli P, Sultan B, Baron C, Vrac M (2011) Are regional climate models relevant for crop yield prediction in West Africa? Environ Res Lett 6(1): 14. doi: 10. 1088/1748-9326/6/1/014008.
52. 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.
53. Petch JC, Brown AR, Gray MEB (2002) The impact of horizontal resolution on the simulations of convective development over land. Q J R Meteorol Soc 128: 2031-2044.
54. Randall D, Khairoutdinov M, Arakawa A, Grabowski W (2003) Breaking the cloud parameterization deadlock. Bull Am Meteorol Soc 84: 1547-1564. doi: 10. 1175/BAMS-84-11-1547.
55. Rauber RM, Ochs HT III, di Girolamo L, Göke S, Snodgrass E, Stevens B, Knight C, Jensen JB, Lenschow DH, Rilling RA, Rogers DC, Stith JL, Albrecht BA, Zuidema P, Blyth AM, Fairall CW, Brewer WA, Tucker S, Lasher-Trapp SG, Mayol-Bracero OL, Vali G, Geerts B, Anderson JR, Baker BA, Lawson RP, Bandy AR, Thornton DC, Burnet E, Brenguier JL, Gomes L, Brown PRA, Chuang P, Cotton WR, Gerber H, Heikes BG, Hudson JG, Kollias P, Krueger SK, Nuijens L, O'Sullivan DW, Siebesma AP, Twohy CH (2007) A supplement to rain in shallow cumulus over the ocean: the RICO campaign. Bull Am Meteorol Soc 88: 12. doi: 10. 1175/BAMS-88-12-Rauber.
56. Redelsperger JL, Brown PRA, Guichard F, Hoff C, Kawasima M, Lang S, Montmerle T, Nakamura K, Saito K, Seman C, Tao WK, Donner LJ (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. doi: 10. 1002/qj. 49712656404.
57. Rio C, Hourdin F (2008) A thermal plume model for the convective boundary layer: representation of cumulus clouds. J Atmos Sci 65: 407-425.
58. Rio C, Hourdin F, Grandpeix J, Lafore J (2009) Shifting the diurnal cycle of parameterized deep convection over land. Geophys Res Lett 36: 7809. doi: 10. 1029/2008GL036779.
59. Rio C, Hourdin F, Couvreux F, Jam A (2010) Resolved versus parametrized boundary-layer plumes. Part II: continuous formulations of mixing rates for mass-flux schemes. Boundary-layer Meteorol 135: 469-483. doi: 10. 1007/s10546-010-9478-z.
60. Senior CA, Mitchell JFB (2000) The time-dependence of climate sensitivity. Geophys Res Lett 27(17): 2685-2688. doi: 10. 1029/2000GL011373.
61. Siebert P, Frank A (2003) Source-receptor matrix calculation with a lagrangian particle disperion model in backward mode. Atmos Chem Phys Discuss 3: 4515-4548.
62. Siebesma AP, Soares PMM, Teixeira J (2007) A combined eddy-diffusivity mass-flux approach for the convective boundary layer. J Atmos Sci 64: 1230. doi: 10. 1175/JAS3888. 1.
63. Soares PMM, Miranda PMA, Siebesma AP, Teixeira J (2004) An eddy-diffusivity/mass-flux parametrization for dry and shallow cumulus convection. Q J R Meteorol Soc 130: 3365-3383.
64. Sundqvist H (1978) A parameterization scheme for non-convective condensation including prediction of cloud water content. Q J R Meteorol Soc 104: 677-690. doi: 10. 1002/qj. 49710444110.
65. Sundqvist H (1988) Parameterization of condensation and associated clouds in models for weather prediction and general circulation simulation. physically-based modelling and simulation of climate and climatic change.
66. VanZanten MC, Stevens BB, Nuijens L, Siebesma AP, Ackerman A, Burnet F, Cheng A, Couvreux F, Jiang H, Khairouidinov M, Kogan Y, Lewellen DC, 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: 6001.
67. Waliser D, Sperber K, Hendon H, Kim D, Maloney E, Wheeler M, Weickmann K, Zhang C, Donner L, Gottschalck J, Higgins W, Kang IS, Legler D, Moncrieff M, Schubert S, Stern W, Vitart F, Wang B, Wang W, Woolnough S (2009) Mjo simulation diagnostics. J Clim 22: 3006-3030.
68. Webb MJ, Senior CA, Sexton DMH, Ingram WJ, Williams KD, Ringer MA, McAvaney BJ, Colman R, Soden BJ, Gudgel R, Knutson T, Emori S, Ogura T, Tsushima Y, Andronova N, Li B, Musat I, Bony S, Taylor KE (2006) On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles. Clim Dyn 27(1): 17-38. doi: 101007s00, 38200601112.
69. Wheeler M, Kiladis GN (1999) Convectively coupled equatorial waves: analysis of clouds and temperature in the wavenumber-frequency domain. J Atmos Sci 56: 374-399. doi: 10. 1175/1520-0469(1999)056< 0374: CCEWAO> 2. 0. CO; 2.
70. Winker DM, Hunt WH, McGill MJ (2007) Initial performance assessment of caliop. Geophys Res Lett 34(19): 19803. doi: 10. 1029/2007GL030135.
71. Winton M, Takahashi K, Held IM (2010) Importance of ocean heat uptake efficacy to transient climate change. J Clim 23(9): 2333-2344. doi: 10. 1175/2009JCLI3139. 1.
72. 2l turbulence closure model. J Atmos Sci 40: 91-106.
73. Yang GY, Slingo J (2001) The diurnal cycle in the tropics. Mon Weather Rev 129: 784. doi: 10. 1175/1520-0493(2001)129< 0784: TDCITT> 2. 0. CO; 2.
74. Yu W, Doutriaux M, Seze G, Le Treut H, Desbois M (1996) A methodology study of the validation of clouds in GCMs using ISCCP satellite observations. Clim Dyn 12(6): 389-401. doi: 10. 1007/BF00211685.
75. Zender CS, Kiehl JT (1997) Sensitivity of climate simulations to radiative effects of tropical anvil structure. J Geophys Res 1022: 23, 793-23, 804. doi: 10. 1029/97JD02009.
76. Zhang C (2005) Madden-Julian oscillation. Rev Geophys 43: 2003. doi: 10. 1029/2004RG000158.
77. Zhang M, Lin W, Klein S, Bacmeister J, Bony S, Cederwall A, Del Genio A, Hack J, Loeb N, Lohmann U, Minnis P, Musat I, Pincus R, Stier P, Suarez M, Webb M, Wu J, Xie S, Yao MS, Zhang J (2005) Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements. J Geophys Res 110: 15.
78. Zhu H, Hendon H, Jakob C (2009) Convection in a parameterized and superparameterized model and Its role in the representation of the MJO. J Atmos Sci 66: 2796. doi: 10. 1175/2009JAS3097. 1.
79. Zipser EJ (1969) The role of organized unsaturated convective downdrafts in the structure and rapid decay of an equatorial disturbance. J Appl Meteorol 8: 799-814.