Climate Dynamics

, Volume 12, Issue 8, pp 557–572 | Cite as

Design and performance of a new cloud microphysics scheme developed for the ECHAM general circulation model

  • U. Lohmann
  • E. Roeckner


A new cloud microphysics scheme including a prognostic treatment of cloud ice (PCI) is developed to yield a more physically based representation of the components of the atmospheric moisture budget in the general circulation model ECHAM. The new approach considers cloud water and cloud ice as separate prognostic variables. The precipitation formation scheme for warm clouds distinguishes between maritime and continental clouds by considering the cloud droplet number concentration, in addition to the liquid water content. Based on several observational data sets, the cloud droplet number concentration is derived from the sulfate aerosol mass concentration as given from the sulfur cycle simulated by ECHAM. Results obtained with the new scheme are compared to satellite observations and in situ measurements of cloud physical and radiative properties. In general, the standard model ECHAM4 and also PCI capture the overall features, and the simulated results usually lie within the range of observed uncertainty. As compared to ECHAM4, only slight improvements are achieved with the new scheme. For example, the overestimated liquid water path and total cloud cover over convectively active regions are reduced in PCI. On the other hand, some shortcomings of the standard model such as underestimated shortwave cloud forcing over the extratropical oceans of the respective summer hemisphere are more pronounced in PCI.


General Circulation Model Liquid Water Content Sulfur Cycle Moisture Budget Total Cloud Cover 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Albrecht BA (1989) Aerosols, cloud microphysics, and fractional cloudiness. Science 245:1227–1230Google Scholar
  2. Arakawa A (1975) Modelling clouds and cloud processes for use in climate models. GARP Publication Series 16. ICSU/WMO:183–197Google Scholar
  3. Beheng KD (1994) A parametrization of warm cloud microphysical conversion processes. Atmos Res 33:193–206Google Scholar
  4. Berry EX, Reinhardt RL (1973) Modeling of condensation and collection within clouds. DRI Phys Sci Pub 16, University of NevadaGoogle Scholar
  5. Bigg EK (1953) The supercooling of water. Proc Phys Soc 66:688–694Google Scholar
  6. Boer GJ, McFarlane NA, Laprise R, Henderson JD, Blanchet JP (1984) The Canadian Climate Centre spectral atmospheric general circulation model. Atmosphere-Ocean 22:397–429Google Scholar
  7. Boucher O, Lohmann U (1995) The sulfate-CCN-cloud albedo effect. A sensitivity study with two general circulation models. Tellus 47B:281–300Google Scholar
  8. Boucher O, Le Trent H, Baker MB (1995) Precipitation and radiation modelling in a GCM: introduction of cloud microphysical processes. J Geophys Res 100:16395–16414Google Scholar
  9. Brinkop S, Roeckner E (1995) Sensitivity of a general circulation model to parametrizations of cloud-turbulence interactions in the atmospheric boundary layer. Tellus 47A:197–220Google Scholar
  10. Calahan RF, Ridgway W, Wiscombe WJ, Bell TL, Snider JB (1994) The albedo of fractal stratocumulus clouds. J Atmos Sci 51:2434–2455Google Scholar
  11. Cess RD, Potter GL, Blanchet JP, Boer GJ, Del Genio AD, Déqué M, Dymnikov V, Galin V, Gates WL, Ghan SJ, Kiehl JT, Lacis AA, Le Treut H, Li ZX, Liang XZ, McAvaney BJ, Meleshko VP, Mitchell JFB, Morcrette JJ, Randall DA, Rikus L, Roeckner E, Royer JF, Schlese U, Sheinin DA, Slingo A, Sokolov AP, Taylor KE, Washington MW, Wetherald RT, Yanai I, Zhang MH (1990) Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. J Geophys Res 95:16601–16615Google Scholar
  12. Chen C, Cotton WR (1987) The physics of the marine stratocumulus-capped mixed layer. J Atmos Sci 44:2951–2977Google Scholar
  13. Chen CT, Roeckner E (1996) Validation of the Earth radiation budget as simulated by the Max Planck Institute for Meteorology general circulation model ECHAM4 using satellite observations of the Earth Radiation Budget Experiment (ERBE). J Geophys Res 101:4269–4287Google Scholar
  14. Claussen M, Lohmann U, Roeckner E, Schulzweida U (1994) A global data set of land-surface parameters. Report 135, Max-Planck-Institut für Meteorologie, GermanyGoogle Scholar
  15. Collins WD, Conant WC, Ramanathan V (1994) Earth radiation budget, clouds and climate sensitivity. In: Calver JG (ed) The chemistry of the atmosphere: its impact on global change. Oxford University Press, Oxford, UK, pp 207–215Google Scholar
  16. Cotton WR, Tripoli GJ, Rauber RM, Mulvihill EA (1986) Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall. J Climate Appl Meteorol 25:1658–1680Google Scholar
  17. Davis A, Gabriel P, Lovejoy S, Schertzer D, Austin GL (1990) Discrete angle radiative transfer: 3. Numerical results and meterological applications. J Geophys Res 95:11729–11742Google Scholar
  18. Del Genio AD, Yao MS, Kovari W, Lo KKW (1996) A prognostic cloud water parametrization for global climate models. J Climate 9:270–304Google Scholar
  19. Eppel DP, Kapitza H, Claussen M, Jacob D, Koch W, Levkov L, Mengelkamp HT, Werrmann N (1995) The non-hydrostatic mesoscale model GESIMA. Part II: parametrizations and applications. Beitr Phys Atmos 68:15–41Google Scholar
  20. Feichter J, Kjellstrom E, Rodhe H, Dentener F, Lelieveld J, Roelofs GJ (1996) Simulation of the tropospheric sulfur cycle in a global climate model. Atmos Environ (in press)Google Scholar
  21. Fouquart Y, Bonnel B (1980) Computations of solar heating of the Earth's atmosphere: a new parameterization. Beitr Phys Atmos 53:35–62Google Scholar
  22. Fouquart Y, Isaka H (1992) Sulfur emission, CCN, clouds and climate: a review. Ann Geophys 10:462–471Google Scholar
  23. Fowler LD, Randall DA, Rutledge SA (1996) Liquid and ice cloud microphysics in the CSU general circulation model. Part I: model description and simulated microphysical processes. J Climate 9:489–529Google Scholar
  24. Gates WL (1992) AMIP: the atmospheric model intercomparison project. Bull Am Meteorol Soc 73:1962–1970CrossRefGoogle Scholar
  25. Geleyn JF (1981) Some diagnostics of the cloud radiation interaction on ECMWF forecasting model. In: Workshop on radiation and cloud-radiation interaction in numerical modelling. 15–17 Oct. 1980 ECMWF, Reading, UK, pp 135–162Google Scholar
  26. Ghan SJ, Easter RC (1992) Computationally efficient approximations to stratiform cloud microphysics parametrization. Mon Weather Rev 120:1572–1582Google Scholar
  27. Greenwald TJ, Stephens GL, Vonder Haar TH, Jackson DL (1993) A physical retrieval of cloud liquid water over the global oceans using Special Sensor Microwave/Imager (SSM/I) observations. J Geophys Res 98:18471–18488Google Scholar
  28. Gunn KLS, Marshall JS (1958) The distribution with size of aggregate snowflakes. J Meteor 15:452–461Google Scholar
  29. Hahn CJ, Warren SG, London J (1994) Climatological data for clouds over the globe from surface observations, 1982–1991: the total cloud edition ORNL/CDIAC-72 NDP-026A Oak Ridge National Laboratory Oak Ridge, Tennessee, USAGoogle Scholar
  30. Hegg DA, Hobbs PV, Ferek RJ, Waggoner AP (1995) Measurements of some aerosol properties relevant to radiative forcing on the east coast of the United States. J Appl Meteorol 34:2306–2315Google Scholar
  31. IPCC, Climate Change (1992) The supplementary report to the IPCC scientific assessment. In: Houghton JT, Callander BA, Varney SK (eds), Cambridge University Press, Cambridge, UKGoogle Scholar
  32. Johnson DW (1993) Parametrisation of the cloud topped boundary layer. Aircraft measurements. In: ECMWF Workshop Proc ‘Parametrization of the cloud topped boundary layer’, ECMWF, Reading, UK, pp 77–117Google Scholar
  33. Kessler E (1969) On the distribution and continuity of water substance in atmospheric circulations, Meteorol Monogr 32, Am Meteorol SocGoogle Scholar
  34. Kiehl JT, Hack JJ, Briegleb BP (1994) The simulated Earth radiation budget of the National Center for Atmospheric Research community climate model CCM2 and comparisons with the Earth Radiation Budget Experiment (ERBE). J Geophys Res 99:20815–20827Google Scholar
  35. King MD, Radke LF, Hobbs PV (1993) Optical properties of marine stratocumulus clouds modified by ships. J Geophys Res 98:2729–2739Google Scholar
  36. Lee JL, Liou KN, Ou SC (1992) A three-dimensional large-scale cloud model: testing the role of radiative heating and ice phase processes. Tellus 44A:197–216Google Scholar
  37. Le Trent H, Li ZX (1988) Using Meteosat data to validate a prognostic cloud generation scheme. Atmos Res 21:273–292Google Scholar
  38. Levkov L, Rockel B, Kapitza H, Raschke E (1992) 3D mesoscale numerical studies of cirrus and stratus clouds by their time and space evolution. Beitr Phys Atmos 65:35–58Google Scholar
  39. Lin YL, Farley RD, Orville HD (1983) Bulk parametrization of the snow field in a cloud model. J Clim Appl Meteorol 22:1065–1092CrossRefGoogle Scholar
  40. Lohmann U, Roeckner E, Collins WD, Heymsfield AJ, McFarquhar GM, Barnett TP (1995) The role of water vapor and convection during the Central Equatorial Pacific Experiment (CEPEX) from observations and model simulations. J Geophys Res 100:26229–26245Google Scholar
  41. Lord SJ, Willoughby HE, Piotrowicz JM (1984) Role of parametrized ice-phase microphysics in an axialsymmetric, nonhydrostatic tropical cyclone model. J Atmos Sci 41:2836–2848Google Scholar
  42. Malm WC, Sisler JF, Huffman D, Eldred RA, Cahill TA (1994) Spatial and seasonal trends in particle concentration and optical extinction in the United States. J Geophys Res 99:1347–1370Google Scholar
  43. Manabe S, Smagorinsky J, Strickler RF (1965) Simulated climatology of a general circulation model with a hydrological cycle. Mon Weather Rev 93:769–798Google Scholar
  44. Mason BJ (1971) The physics of clouds. Clarendon Press, OxfordGoogle Scholar
  45. Matveev LT (1984) Cloud dynamics. Atm Sci Library, Reidel, DordrechtGoogle Scholar
  46. McFarlane NA, Boer GJ, Blanchet JP, Lazare M (1992) The Canadian Climate Centre second-generation general circulation model and its equilibrium climate. J Climate: 1013–1044Google Scholar
  47. McFarquhar GM, Heymsfield AJ (1996) Microphysical characteristics of three anvils sampled during the Central Equatorial Pacific Experiment (CLEPEX). J Atmos (in press)Google Scholar
  48. Mölders N, Laube M, Kramm G (1994) A scheme for parametrizing ice and water clouds in regional models. Proc of EUROTRAC Symp 1994, Borrell et al. (eds), SPB Academic Publishing, The Hague, The Netherlands, pp 839–844Google Scholar
  49. Morcrette JJ (1991) Radiation and cloud radiative properties in the European Centre for Medium Range Weather Forecasts forecasting system. J Geophys Res 96:9121–9132Google Scholar
  50. Murakami M (1990) Numerical modeling of dynamical and microphysical evolution of an isolated convective cloud — The 19 July 1981 CCOPE cloud. J Meteorol Soc Japan 68:107–128Google Scholar
  51. Nordeng TE (1994) Extended versions of the convective parameterization scheme at ECMWF and their impact on the mean and transient activity of the model in the tropics. Tech Memo 206, 41 pp, Euro Cent for Medium Range Weather Forecasts, Reading, EnglandGoogle Scholar
  52. Novakov T, Penner JE (1993) Large contribution of organic aerosols to cloud-condensation-nuclei concentrations. Nature 365:823–826Google Scholar
  53. Ose T (1993) An examination of the effects of explicit cloud water in the UCLA GCM. J Meteorol Soc Japan 71:93–109Google Scholar
  54. Potter BE (1991) Improvements to a commonly used cloud microphysical bulk parametrization. J Appl Meteorol 30:1040–1042Google Scholar
  55. Pruppacher HR, Klett JD (1978) Microphysics of clouds and precipitation. Reidel, DordrechtGoogle Scholar
  56. Radke LF, Coagley JA Jr, MD King (1989) Direct and remote sensing observations of the effects of ships on clouds. Science 246:1146–1149Google Scholar
  57. Ramanathan V, Cess RD, Harrison EF, Minnis P, Barkstrom BR, Ahmad E, Hartmann D (1989) Cloud-radiative forcing and climate: results from the Earth Radiation Budget Experiment. Science 243:57–63Google Scholar
  58. Rangno AL, Hobbs PV (1994) Ice particle concentrations and precipitation development in small continental cumuliform clouds. Q J R Meteorol Soc 120:573–601Google Scholar
  59. Rasch PJ, Williamson DL (1990) Computational aspects of moisture transport in global models of the atmosphere. Q J R Meteorol Soc 116:1071–1090Google Scholar
  60. Rockel B, Raschke E, Weyres B (1991) A parametrization of broad-band radiative transfer properties of water, ice and mixed clouds. Beitr Phys Atmos 64:1–12Google Scholar
  61. Roeckner E (1995) Parameterization of cloud radiative properties in the ECHAM4 model. In: WCRP Workshop “Cloud microphysics parametrizations in global atmospheric circulation models”, 23–25 May 1995, WCRP-90, Kananaskis, Canada, pp 105–116Google Scholar
  62. Roeckner E, Schlese U (1985) January simulation of clouds with a prognostic cloud cover scheme. In: ECMWF Workshop “Cloud cover parametrization in numerical models”, 26–28 Nov. 1984, ECMWF, Reading, UK, pp 87–108Google Scholar
  63. Roeckner E, Arpe K, Bengtsson L, Brinkop S, Dümenil L, Esch M, Kirk E, Lunkeit F, Ponater M, Rockel B, Sausen R, Schlese U, Schubert S, Windelband M (1992) Simulation of the present-day climate with the ECHAM model: impact of model physics and resolution. Report 93, Max-Planck-Institut für Meteorologic, GermanyGoogle Scholar
  64. Rossow WB, Schiffer RA (1991) ISCCP cloud data products. Bull Am Meteorol Soc 72:2–20Google Scholar
  65. Rossow WB, Walker AW, Garder LC (1993) Comparison of ISCCP and other cloud amounts. J Climate 6:2394–2418Google Scholar
  66. Rutledge SA, Hobbs PV (1983) The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. VII: a model for the “Seeder Feeder” process in warm-frontal bands. J Atmos Sci 40:1185–1206Google Scholar
  67. Slingo JM (1987) The development and verification of a cloud prediction scheme for the ECMWF model. Q J R Meteorol Soc 113:899–927CrossRefGoogle Scholar
  68. Smagorinsky J (1960) On the dynamical prediction of large-scale condensation by numerical methods. In: Physics of Precipitation, Geophys Mono 5, Am Geophys Union:71–78Google Scholar
  69. Smith RNB (1990) A scheme for predicting layer clouds and their water content in a general circulation model. Q J R Meteorol Soc 116:435–460Google Scholar
  70. Sundqvist H (1978) A parametrization scheme for non-convective condensation including prediction of cloud water content. Q J R Meteorol Soc 104:677–690CrossRefGoogle Scholar
  71. Sundqvist H, Berge E, Kristjansson JE (1989) Condensation and cloud parametrization studies with a mesoscale numerical weather prediction model. Mon Weather Rev 117:1641–1657Google Scholar
  72. Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parametrization in large-scale models. Mon Weather Rev 117:1779–1800CrossRefGoogle Scholar
  73. Warneck P (1988) Chemistry of the natural atmosphere. Int Geophys Series 41, Academic Press, San Diego, USAGoogle Scholar
  74. Weng F, Grody NC (1994) Retrieval of cloud liquid water using the special sensor microwave imager (SSM/I). J Geophys Res 99:25535–25551Google Scholar
  75. Xu KM, Krueger SK (1991) Evaluation of cloudiness parametrizations using a cumulus ensemble model. Mon Weather Rev 119:342–367Google Scholar
  76. Young KC (1993) Microphysical processes in clouds. Oxford University Press, New YorkGoogle Scholar

Copyright information

© pringer-Verlag 1996

Authors and Affiliations

  • U. Lohmann
    • 1
  • E. Roeckner
    • 1
  1. 1.Max Planck Institute for MeteorologyHamburgGermany

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