Geoscientific Model Development www.geosci-model-dev.net 1991-959X 1991-9603 1 1 2008 10.5194/gmd-1-53-2008 http://www.geosci-model-dev.net/1/53/2008/ http://www.geosci-model-dev.net/1/53/2008/gmd-1-53-2008.html http://www.geosci-model-dev.net/1/53/2008/gmd-1-53-2008.pdf 53 68 2008-12-12 A description of the FAMOUS (version XDBUA) climate model and control run R. S. Smith r.s.smith@reading.ac.uk J. M. Gregory A. Osprey NCAS-Climate, Walker Institute, Reading, UK Met Office Hadley Centre, Exeter, UK FAMOUS is an ocean-atmosphere general circulation model of low resolution, capable of simulating approximately 120 years of model climate per wallclock day using current high performance computing facilities. It uses most of the same code as HadCM3, a widely used climate model of higher resolution and computational cost, and has been tuned to reproduce the same climate reasonably well. FAMOUS is useful for climate simulations where the computational cost makes the application of HadCM3 unfeasible, either because of the length of simulation or the size of the ensemble desired. We document a number of scientific and technical improvements to the original version of FAMOUS. These improvements include changes to the parameterisations of ozone and sea-ice which alleviate a significant cold bias from high northern latitudes and the upper troposphere, and the elimination of volume-averaged drifts in ocean tracers. A simple model of the marine carbon cycle has also been included. A particular goal of FAMOUS is to conduct millennial-scale paleoclimate simulations of Quaternary ice ages; to this end, a number of useful changes to the model infrastructure have been made. Allison, I., Brandt, R., and Warren, S.: East Antarctic Sea-Ice: Albedo, Thickness Distribution, and Snow Cover, J. Geophys. Res, 98, 12 417–12 429, 1992. Berger, A L.: Long-term variations of daily insolation and quaternary climatic, J. Atmos. Sci., 35, 2362–2367, 1978. Bryan, K.: A numerical method for the study of the circulation of the World Ocean, J. Comput. Phys., 4, 347–376, 1969. Cattle, H. and Crossley, J.: Modeling Arctic climate-change, Philos. Trans. R. Soc. London, 352, 201–213, 1995. Claussen, M., Mysak, L., Weaver, A., Crucifix, M., Fichefet, T., Loutre, M.-F., Weber, S., Alcamo, J., Alexeev, V., Berger, A., Calov, R., Ganapolski, A., Goosse, H., Lohmann, G., Lunkeit, F., Mokhov, I., Petoukhov, V., Stone, P., and Wang, Z.: Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models, Clim. Dynam., 18, 579–586, 2002. Collins, W D.: Effects of enhanced shortwave absorption on coupled simulations of the tropical climate system, J. Climate, 14, 1147–1165, 2001. Cox, M D.: A primitive equation, 3-dimensional model of the ocean, Tech. Rep 1, Geophysical Fluid Dynamics Laboratory/NOAA, Princeton University, 1984. Cox, P., Betts, R., Jones, C., Spall, S., and Totterdell, I.: Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model, Nature, 408, 184–197, 2000. Cox, P M.: Description of the TRIFFID Dynamic Global Vegetation Model, Technical Note~24, Hadley Centre, Met Office, 2001. Cox, P M., Betts, R A., Bunton, C B., Essery, R. L H., Rowntree, P R., and Smith, J.: The impact of new land surface physics on the GCM simulation of climate and climate sensitivity, Clim. Dynam., 15, 183–203, 1999. Cusack, S., Edwards, J M., and Kershaw, R.: Estimating the subgrid variance of saturation, and its parametrization for use in a GCM cloud scheme., Q. J. R. Meteorol. Soc., 125, 3057–3076, 1999. Edwards, J M. and Slingo, A.: Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model., Q. J. R. Meteorol. Soc., 122, 689–720, 1996. Essery, R. L H., Best, M J., Betts, R A., Cox, P M., and Taylor, C M.: Explicit representation of subgrid heterogeneity in a GCM land-surface scheme, J. Hydrometeorol., 4, 530–543, 2003. Gent, P. and McWilliams, J.: Isopycnal Mixing in ocean circulation models, J. Phys. Oceanogr., 20, 150–155, 1990. Gnanadesikan, A. and Stouffer, R J.: Diagnosing atmosphere-ocean general circulation model errors relevant to the terrestrial biosphere using the Koeppen climate classification, Geophys. Res. Lett., 33, L22701, \doi10.1029/2006GL028098, 2006. Gordon, C., Cooper, C., Senior, C., Banks, H., Gregory, J., Johns, T., Mitchell, J., and Wood, R.: The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments, Climate Dynam., 16, 147–168, 2000. Gregory, D. and Allen, S.: The effect of convective downdraughts upon NWP and climate simulations, in: Ninth conference on numerical weather prediction, Denver, Colorado, 122–123, 1991. Gregory, D. and Rowntree, P R.: A mass-flux convection scheme with representation of cloud ensemble characteristics and stability dependent closure, Mon. Weather Rev., 118, 1483–1506, 1990. Gregory, D., Kershaw, R., and Inness, P M.: Parametrization of momentum transport by convection II: Tests in single column and general circulation models, Q. J. R. Meteorol. Soc., 123, 1153–1183, 1997. Gregory, D., Shutts, G J., and Mitchell, J R.: A new gravity wave drag scheme incorporating anisotropic orography and low level wave breaking; Impact upon the climate of the UK Meteorological Office Unified Model, Q. J. R. Meteorol. Soc., 124, 463–493, 1998. Gregory, J M., Ingram, W J., Palmer, M A., Jones, G S., Stott, P A., Thorpe, R B., Lowe, J A., Johns, T C., and Williams, K D.: A new method for diagnosing radiative forcing and climate sensitivity, Geophys. Res. Lett., 31, L03205, \doi10.1029/2003gl018747, 2004. Guilyardi, E., Gualdi, S., Slingo, J., Navarra, A., Delecluse, P., Cole, J., Madec, G., Roberts, M., Latif, M., and Terray, L.: Representing El Nino in coupled ocean-atmosphere GCMs: The dominant role of the atmospheric component, J. Climate, 17, 4623–4629, 2004. Jones, C.: A fast ocean GCM without flux adjustments, J. Atmos. Ocean. Tech., 20, 1857–1868, 2003. Jones, C., Gregory, J., Thorpe, R., Cox, P., Murphy, J., Sexton, D., and Valdes, P.: Systematic Optimisation and climate simulations of FAMOUS, a fast version of HadCM3, Clim. Dynam., 25, 189–204, 2005. Key, R., Kozyr, A., Sabine, C., Lee, K., Wanninkhof, R., Bullister, J., Feely, R., Millero, F., Mordy, C., and Peng, T.-H.: A global ocean carbon climatology: results from the Global Data Analysis Project (GLODAP), Glob. Biogeochem. Cy., 18, GB4031, \doi10.1029/2004GB002247, 2004. Kim, S., Flato, G., and Boerm, G.: A coupled climate model simulation of the Last Glacial Maximum, Part 2: approach to equilibrium, Clim. Dynam., 20, 635–661, 2003. Kraus, E B. and Turner, J S.: A one dimensional model of the seasonal thermocline. Part II, Tellus, 19, 98–105, 1967. Laskar, J., Robutel, P., Joutel, F., Gastineau, M., Correia, A. C M., and Levrard, B.: A long-term numerical solution for the insolation quantities of the Earth, Astron. Astrophys., 428, 261–285, 2004. Legates, D R. and Willmott, C J.: Mean Seasonal and Spatial Variability in Global Surface Air Temperature., Theor. Appl. Climatol., 41, 11–21, 1990. Leonard, B P., MacVean, M K., and Lock, A P.: Positivity-preserving numerical schemes for multidimensional advection, Nasa Tech. Memo. 106055, ICOMP-93-05, NASA, Washington, DC, 20546-0001, 1993. Levitus, S., Boyer, T., Conkright, M., Brien, T O., Antonov, J., Stephens, C., Stathoplos, L., Johnson, D., and Gelfeld, R., eds.: NOAA Atlas NESDIS 18, World Ocean Database 1998 Volume 1, National Oceanographic Data Center, 1998. Osborn, T J., Conway, D., Hulme, M., Gregory, J M., and Jones, P D.: Air flow influences on local climate: observed and simulated mean relationships for the United Kingdom, Climate Res., 13, 173–191, 1999. Pacanowski, R. and Philander, S.: Parameterization of vertical mixing in numerical models of tropical oceans, J. Phys. Oceanogr., 11, 1443–1451, 1981. Palmer, J R. and Totterdell, I J.: Production and export in a global ocean ecosystem model, Deep-Sea Res., 48, 1169–1198, 2001. Pardaens, A K., Banks, H T., Gregory, J M., and Rowntree, P R.: Freshwater transports in HadCM3, Clim. Dynam., 21, 177–195, 2003. Pope, V D., Gallani, M L., Rowntree, P R., and Stratton, R A.: The impact of new physical parametrizations in the Hadley Centre climate model – HadAM3, Clim. Dynam., 16, 123–146, 2000. Rahmstorf, S.: A fast and complete convection scheme for ocean models, Ocean Model., 101, 9–11, 1993. Randall, D A., Wood, R A., Bony, S., Colman, R., Fichefet, T., Fyfe, J., Kattsov, V., Pitman, A., Shukla, J., Srinivasan, J., Stouffer, R J., Sumi, A., and Taylor, K E.: 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 Change, chap 8, 589–662, Cambridge University Press, 2007. Redi, M H.: Oceanic isopycnal mixing by coordinate rotation, J. Phys. Oceanogr., 12, 1154–1158, 1982. Roether, W., Roussenov, V M., and Well, R.: A tracer study of the thermohaline circulation of the Eastern Mediteranean., in: Ocean Processes in Climate Dynamics: Global and Mediterranean Examples., 371–394, Kluwer Acad. Pub., 1994. Schurgers, G ., Mikolajewicz, U., Gro\"ger, M., Maier-Reimer, E., Vizcaino, M., and Winguth, A.: The effect of land surface change on Eemian climate, Clim. Dynam., 29, 357–373, 2007. Semtner, A J.: A model for the thermodynamic growth of sea ice in numerical investigations of climate, J. Phys. Oceanogr., 6, 379–389, 1976. Smith, R S., Dubois, C., and Marotzke, J.: Global Climate and Ocean Circulation on an Aquaplanet Ocean-Atmosphere General Circulation Model, J. Climate, 19, 4719–4737, 2006. Stouffer, R J., Yin, J., Gregory, J M., Dixon, K W., Spelman, M J., Hurlin, W., Weaver, A J., Eby, M., Flato, G M., Hasumi, H., Hu, A., Jungclaus, J., Kamenkovich, I V., Levermann, A., Montoya, M., Murakami, S., Nawrath, S., Oka, A., Peltier, W R., Robitaille, D Y., Sokolov, A., Vettoretti, G., and Weber, N.: Investigating the Causes of the Response of the Thermohaline Circulation to Past and Future Climate Changes, J. Climate, 19, 1365–1387, 2006. Tonniazzo, T.: Climate variability in the South-Eastern Tropical Pacific and its relation with ENSO: a model study, Clim. Dynam., submitted, 2008. Uppala, S M., K\aallberg, P W., Simmons, A J., Andrae, U., da~Costa~Bechtold, V., Fiorino, M., Gibson, J K., Haseler, J., Hernandez, A., Kelly, G A., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R P., Andersson, E., Arpe, K., Balmaseda, M A., Beljaars, A. C M., van~de Berg, L., Bidlot, J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M., Fisher, M., Fuentes, M., Hagemann, S., Hólm, E., Hoskins, B J., Isaksen, L., Janssen, P. A. E M., Jenne, R., McNally, A P., Mahfouf, J.-F., Morcrette, J.-J., Rayner, N A., Saunders, R W., Simon, P., Sterl, A., Trenberth, K E., Untch, A., Vasiljevic, D., Viterbo, P., and Woollen, J.: The ERA-40 re-analysis., Q. J. R. Meteorol. Soc., 131, 2961–3012, \doi10.1256/qj.04.176, 2005. Vizcaino, M., Mikolajewicz, U., Gro\"ger, M., Maier-Reimer, E., Schurgers, G., and Winguth, A.: Long-term ice sheet-climate interactions under anthropogenic greenhuose forcing simulated with a complex Earth System Model, Clim. Dynam., 31, 665–690, 2008. WMO: Definition of the tropopause, WMO Bulletin, 6, p 136, 1957. Xie, P. and Arkin, P A.: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates and numerical model outputs, B. Am. Meteorol. Soc., 78, 2539–2558, 1997. Yeager, S., Shields, C., Large, W., and Hack, J.: The Low-Resolution CCSM3, J. Climate, 19, 2545–2566, 2006.