Climate Dynamics

, Volume 26, Issue 4, pp 407–428 | Cite as

Multi-century simulations with the coupled GISS–HYCOM climate model: control experiments



Multi-century climate simulations obtained with the GISS atmospheric general circulation model coupled to the hybrid-isopycnic ocean model HYCOM are described. Greenhouse gas concentrations are held fixed in these experiments to investigate the coupled model’s ability to reproduce the major features of today’s climate with minimal drift. Emphasis is placed on the realism of the oceanic general circulation and its effect on air–sea exchange processes. Several model runs using different closures for turbulent vertical exchange as well as improvements to reduce vertical numerical diffusion are compared with climate observations. As in previous studies, the Southern Ocean emerges as the Achilles Heel of the ocean model; deficiencies in its physical representation had far-reaching consequences in early experiments with the coupled model and have provided the strongest impetus for model improvement. The overarching goal of this work is to add diversity to the pool of ocean models available for climate prediction and thereby reduce biases that may stand in the way of assessing climate prediction uncertainty.


  1. AchutaRao K, Sperber KR (2002) Simulation of the El Niño Southern Oscillation: results from the Coupled Model Intercomparison Project. Clim Dyn 19:191–209CrossRefGoogle Scholar
  2. Arfken G (1970) Mathematical methods for physicists, 2nd edn. Academic, San Diago, p 815Google Scholar
  3. Bleck R (2002) An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. Ocean Model 4:55–88CrossRefGoogle Scholar
  4. Bleck R (2005) On the use of hybrid vertical coordinates in ocean circulation modeling. In: Chassignet E (ed) Proceedings of summer school of oceanography, Lalonde, France. Kluwer, DordrechtGoogle Scholar
  5. Bleck R, Sun S (2004) Diagnostics of the oceanic thermohaline circulation in a coupled climate model. Global Planet Change 40:233–248CrossRefGoogle Scholar
  6. Bleck R, Rooth C, Hu D, Smith L (1992) Salinity-driven thermocline transients in a wind- and thermohaline-forced isopycnic coordinate model of the North Atlantic. J Phys Oceanogr 22:1486–1505CrossRefGoogle Scholar
  7. Boville BA, Gent PR (1998) The NCAR climate systems model, version one. J Clim 11:1115–1130CrossRefGoogle Scholar
  8. Boyle JS (1998) Evaluation of the annual cycle of precipitation over the United States in GCMs AMIP simulations. J Clim 11:1041–1055CrossRefGoogle Scholar
  9. Cane MA, Zebiak SE, Dolan SC (1986) Experimental forecasts of El Niño. Nature 322:827–832CrossRefGoogle Scholar
  10. Canuto VM, Howard A, Hogan P, Cheng Y, Dubovikov MS, Montenogro LM (2004) Modeling ocean deep convection. Ocean Model 7:75–95CrossRefGoogle Scholar
  11. Chou S-H, Nelkin E, Ardizzone J, Atlas RM, Shie C-L (2003) Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retrievals, version 2 (GSSTF2). J Clim 16:3256–3273CrossRefGoogle Scholar
  12. Cunningham SA, Alderson SG, King BA, Brandon MA (2003) Transport and variability of the Antarctic Circumpolar Current in Drake Passage. J Geophys Res 108(C5):8084. DOI 10.1029/2001JC001147Google Scholar
  13. Delworth TL, Stouffer RJ, Dixon KW, Spelman MJ, Knutson TR, Broccoli AJ, Kushner PJ, Wetherald RT (2002) Review of simulations of climate variability and change with the GFDL R30 coupled climate model. Clim Dyn 19:555–574CrossRefGoogle Scholar
  14. Duffy PB, Eby M, Weaver AJ (1999) Effects of sinking of salt rejected during formation of sea ice on results of an ocean–atmosphere–sea ice climate model. Geophys Res Lett 26:1739–1742CrossRefGoogle Scholar
  15. Dutay J-C, Bullister J, Doney SC, Orr JC, Najjar RG, Caldeira K, Campin J-M, Drange H, Follows M, Gao Y, Gruber N, Hecht MW, Ishida A, Joos F, Lindsay K, Madec G, Maier-Reimer E, Marshall JC, Matear R, Monfray P, Plattner GK, Sarmiento JL, Schlitzer R, Slater RD, Totterdell IJ, Weirig M-F, Yamanaka Y, Yool A (2002) Evaluation of ocean model ventilation with CFC-11: comparison of 13 global ocean models. Ocean Model 4(2):89–120CrossRefGoogle Scholar
  16. Fieux M, Molcard R, Ilahude AG (1996) Geostrophic transport of the Pacific–Indian oceans throughflow. J Geophys Res 101:12421–12432CrossRefGoogle Scholar
  17. Friend A, Kiang N (2005) Land surface model development for the GISS GCM: effects of improved canopy physiology on simulated climate. J Clim 18:2883–2902CrossRefGoogle Scholar
  18. Gargett AE (1984) Vertical eddy diffusivity in the ocean interior. J Mar Res 42:359–393CrossRefGoogle Scholar
  19. Gent PR, Craig AP, Bitz CM, Weatherly JW (2002) Parameterization improvements in an eddy-permitting ocean model for climate. J Clim 15:1447–1459 CrossRefGoogle Scholar
  20. Gent P, McWilliams JC (1990) Isopycnal mixing in ocean circulation models. J Phys Oceanogr 20:150–155CrossRefGoogle Scholar
  21. Gordon C, Cooper C, Senior CA, Banks H, Gregory JM, Johns TC, Mitchell JFB, Wood RA (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168CrossRefGoogle Scholar
  22. Halliwell GR (2004) Evaluation of vertical coordinate and vertical mixing algorithms in the HYbrid Coordinate Ocean Model (HYCOM). Ocean Model 7:285–322CrossRefGoogle Scholar
  23. Hansen J et al (2002) Climate forcings in Goddard Institute for Space Studies SI2000 simulations. J Geophys Res 107(D18):4347. DOI 10.1029/2001JD001143Google Scholar
  24. Hirst AC, McDougall TJ (1997) Meridional overturning and dianeutral transport in a z-coordinate ocean model including eddy-induced advection. J Phys Oceanogr 28:1205–1223CrossRefGoogle Scholar
  25. Hirst AC, O’Farrell SP, Gordon HB (2000) Comparison of a coupled ocean–atmosphere model with and without oceanic eddy-induced advection. Part I: ocean spinup and control integrations. J Clim 13:139–163CrossRefGoogle Scholar
  26. Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds) (2001) Climate change. The scientific basic. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change (IPCC). Cambridge University Press, Cambridge, p 881Google Scholar
  27. Huffman GJ, Adler RF, Morrissey MM, Curtis S, Joyce R, McGavock B, Susskind J (2001) Global precipitation at one-degree daily resolution from multi-satellite observations. J Hydrometeor 2:36–50CrossRefGoogle Scholar
  28. Jia Y (2003) Ocean heat transport and its relationship to ocean circulation in the CMIP coupled models. Clim Dyn 20:153–174Google Scholar
  29. Josey S, Kent E, Taylor P (1999) New insights into the ocean heat budget closure problem from analysis of the SOC air–sea flux climatology. J Clim 12:2856–2880CrossRefGoogle Scholar
  30. Kiehl JT, Gent PG (2004) The community climate system model, version 2. J Clim 17:3666–3682CrossRefGoogle Scholar
  31. Kim S-J, Stössel A (2001) Impact of subgrid-scale convection on global thermohaline properties and circulation. J Phys Oceanogr 31:656–674CrossRefGoogle Scholar
  32. Kraus EB, Turner JS (1967) A one-dimensional model of the seasonal thermocline II. The general theory and its consequences. Tellus 19:98–105CrossRefGoogle Scholar
  33. Large W, McWilliams J, Doney S (1994) Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization. Rev Geophys 32:336–403CrossRefGoogle Scholar
  34. Levitus S, Burgett R, Boyer TP (1994) NOAA World Ocean Atlas 1994, vol 3 and 4. Natl Oceanogr Data Cen, Washington, DC, pp 99, 117Google Scholar
  35. McDougall TJ, Dewar WK (1998) Vertical mixing and cabbeling in layered models. J Phys Oceanogr 28:1458–1480CrossRefGoogle Scholar
  36. Meehl GA, Arblaster JM, Strand WG Jr (2000) Sea–ice effects on climate model sensitivity and low frequency variability. Clim Dyn 16:257–271CrossRefGoogle Scholar
  37. Meehl GA, Gent PR, Arblaster JM, Otto-Bliesner BL, Brady EC, Craig A (2001) Factors that affect the amplitude of El Niño in global coupled climate models. Clim Dyn 17:515–526CrossRefGoogle Scholar
  38. Olbers D, Borowski D, Völker C, Wolff J-O (2004) The dynamical balance, transport and circulation of the Antarctic Circumpolar Current. Antarct Sci 16(4):439–470CrossRefGoogle Scholar
  39. Orsi AH, Whitworth T III (2004) Hydrographic Atlas of the World Ocean circulation experiment (WOCE), vol 1: Southern Ocean. In: Sparrow M, Chapman P, Gould J (eds) International WOCE Project Office, Southampton, U.K., ISBN 0-904175-49-9Google Scholar
  40. Paluszkiewicz T, Romea RD (1997) A one-dimensional model for the parameterization of deep convection in the ocean. Dyn Atmospheres Oceans 26:95–130CrossRefGoogle Scholar
  41. Pope VD, Stratton RA (2002) The processes governing resolution sensitivity in a climate model. Clim Dyn 19:211–236CrossRefGoogle Scholar
  42. Prather MJ (1986) Numerical advection by conservation of second-order moments. J Geophys Res 91:6671–6680CrossRefGoogle Scholar
  43. Roberts MJ, Banks H, Gedney N, Gregory J, Hill R, Mullerworth S, Pardaens A, Rickard G, Thorpe R, Wood R (2004) Impact of an eddy-permitting ocean resolution on control and climate change simulations with a global coupled GCM. J Clim 17:3–20CrossRefGoogle Scholar
  44. Romanou A, Rossow WB, Chou SH (2005) Decorrelation scales of high resolution turbulent fluxes at the ocean-surface and a method to fill in gaps in satellite data products. J Clim (in press)Google Scholar
  45. Russell GL, Lerner JA (1981) A new finite-differencing scheme for the tracer transport equation. J Appl Meteorol 20:1483–1498CrossRefGoogle Scholar
  46. Russell GL, Miller JR, Rind D, Ruedy R, Schmidt G, Sheth S (2000) Comparison of model and observed regional temperature changes during the past 40 years. J Geophys Res 105:14891–14898CrossRefGoogle Scholar
  47. Schmidt GA et al (2005) Present day atmospheric simulations using GISS ModelE: comparison to in-situ, satellite and reanalysis data. J Clim (in press)Google Scholar
  48. Schmitz WJ Jr (1995) On the interbasin-scale thermohaline circulation. Rev Geophys 33:151–173CrossRefGoogle Scholar
  49. Smagorinsky J (1963) General circulation experiments with the primitive equations. Mon Wea Rev 91:99–164CrossRefGoogle Scholar
  50. Sokolov AP, Forest CE, Stone PH (2003) Comparing oceanic heat uptake in AOGCM transient climate change experiments. J Clim 16:1573–1582Google Scholar
  51. Speer K, Guilyardi E, Madec G (2000a) Southern ocean transformation in a coupled model with and without eddy mass fluxes. Tellus 52A:554–565CrossRefGoogle Scholar
  52. Speer K, Rintoul R, Sloyan BM (2000b) The diabatic Deacon cell. J Phys Oceanogr 30:3212–3222CrossRefMathSciNetGoogle Scholar
  53. Steele M, Morley R, Ermold W (2001) PHC: a global ocean hydrography with a high-quality Arctic Ocean. J Clim 14:2079–2087CrossRefGoogle Scholar
  54. Stommel H, Aarons AB (1960) On the abyssal circulation of the world ocean I: stationary planetary flows patterns on a sphere. Deep Sea Res 6:140–154CrossRefGoogle Scholar
  55. Stössel A, Yang K, Kim SJ (2002) On the role of sea ice and convection in a global ocean model. J Phys Oceanogr 32:1194–1208CrossRefGoogle Scholar
  56. Stratton RA (1999) A high resolution AMIP integration using the Hadley Centre model HadAM2b. Clim Dyn 15:9–28CrossRefGoogle Scholar
  57. Sun S, Bleck R (2001a) Atlantic thermohaline circulation and its response to increasing CO2 in a coupled atmosphere–ocean model. Geophys Res Lett 28:4223–4226CrossRefGoogle Scholar
  58. Sun S, Bleck R (2001b) Thermohaline circulation studies with an isopycnic coordinate ocean model. J Phys Oceanogr 31:2761–2782CrossRefGoogle Scholar
  59. Sun S, Hansen J (2003) Climate simulations for 1951–2050 with a coupled atmosphere–ocean model. J Clim 16:2807–2826CrossRefGoogle Scholar
  60. Talley L, Reid JL, Robbins PE (2003) Data-based meridional overturning streamfunctions for the global ocean. J Clim 16:3213–3226CrossRefGoogle Scholar
  61. Trenberth KE, Caron JM (2001) Estimates of meridional atmosphere and ocean heat transport. J Clim 14:3433–3443CrossRefGoogle Scholar
  62. Wadley MR, Bigg GR (1996) Abyssal channel flow in ocean general circulation models with application to the Vema Channel. J Phys Oceanogr 26:38–48CrossRefGoogle Scholar
  63. Whitworth T, Peterson RG (1985) Volume transport of the Antartic Circumpolar Current from bottom pressure measurement. J Phys Oceanogr 15:810–816CrossRefGoogle Scholar
  64. Wood RA, Keen AB, Mitchell JFB, Gregory JM (1999) Changing spatial structure of the thermohaline circulation in response to atmospheric CO2 forcing in a climate model. Nature 399:572–575CrossRefGoogle Scholar
  65. Zhang J, Rothrock D (2000) Modeling Arctic sea ice with an efficient plastic solution. J Geophys Res 105:3325–3338CrossRefGoogle Scholar
  66. Zhang Y-C, Rossow WB, Lacis AA, Oinas V, Mishchenko MI (2004) Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global datasets: refinements of the radiative transfer model and the input data. J Geophys Res 109:D19105. DOI 10.1029/2003JD004457Google Scholar

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.NASA Goddard Institute for Space StudiesNew YorkUSA
  2. 2.Los Alamos National LaboratoryLos AlamosUSA
  3. 3.NASA Goddard Institute for Space StudiesNew YorkUSA

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