Abstract
We review the history of global climate model (GCM) development with regard to Arctic climate beginning with the ACSYS era. This was a time of rapid improvement in many models. We focus on those aspects of the Arctic climate system that are most likely to amplify the Arctic response to anthropogenic greenhouse gas forcing in the twentieth and twenty-first centuries. Lessons from past GCM modeling and the most likely near-future model developments are discussed. We present highlights of GCM simulations from two sophisticated climate models that have the highest Arctic amplification among the the models that participated in the World Climate Research Programme’s third Coupled Model Intercomparison Project (CMIP3). The two models are the Hadley Center Global Environmental Model (HadGEM1) and the Community Climate System Model version 3 (CCSM3). These two models have considerably larger climate change in the Arctic than the CMIP3 model mean by mid-twenty-first century. Thus, the surface warms by about 50% more on average north of 75∘N in HadGEM1 and CCSM3 than in the CMIP3 model mean, which amounts to more than three times the global average warming. The sea ice thins and retreats 50–100% more in HadGEM1 and CCSM3 than in the CMIP3 model mean. Further, the oceanic transport of heat into the Arctic increases much more in HadGEM1 and CCSM3 than in other CMIP3 models and contributes to the larger climate change.
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References
Arzel O, Fichefet T, Goosse H (2006) Sea ice evolution over the 20th and 21st centuries as simulated by the current AOGCMs. Ocean Model 12:401–415
Beesley JA, Moritz RE (1999) Toward an explanation of the annul cycle of cloudiness over the arctic ocean. J Clim 12:395–415
Bitz CM, Lipscomb WH (1999) An energy-conserving thermodynamic model of sea ice. J Geophys Res 104:15,669–15,677
Bitz CM, Roe GH (2004) A mechanism for the high rate of sea-ice thinning in the arctic ocean. J Clim 18:3622–3631
Bitz CM, Holland MM, Weaver AJ, Eby M (2001) Simulating the ice-thickness distribution in a coupled climate model. J Geophys Res 106:2441–2464
Bitz CM, Fyfe JC, Flato GM (2002) Sea ice response to wind forcing from amip models. J Clim 15:522–536
Bitz CM, Holland MM, Hunke EC, Moritz RE (2005) On the maintenance of the sea-ice edge. J Clim 18:2903–2921
Bitz CM, Gent PR, Woodgate RA, Holland MM, Lindsay R (2006) The influence of sea ice on ocean heat uptake in response to increasing CO2. J Clim 19:2437–2450
Bourke RH, Garrett RP (1987) Sea ice thickness distribution in the arctic ocean. Cold Reg Sci Tech 13:259–280
Boville BA, Gent PR (1998) The NCAR climate system model, version one. J Clim 11:1115–1130
Briegleb BP, Light B (2007) A Delta-Eddington multiple scattering parameterization for solar radiation in the sea ice component of the community climate system model. NCAR/TN-472+STR
Briegleb BP, Bitz CM, Hunke EC, Lipscomb WH, Schramm JL (2004) Scientific Description of the sea ice component in the community climate system model, version 3. NCAR/TN-463+STR
Budyko MI (1969) The effect of solar radiatin variations on the climate of the earth. Tellus 21:611–619
Cassano JJ, Uotila P, Lynch AH (2006) Changes in synoptic weather patterns in the polar regions in the 20th and 21st centuries. Part 1. Arctic. Int J Climatol 26. doi:10.1002/JOC.1306
Chapman WL, Walsh JE (2007) Simulation of arctic temperature and pressure by global climate models. J Clim 20:609–632
Collins WD et al (2006) The community climate system model, Version 3. J Clim 19:2122–2143
Comiso JC (1995) SSM/I concentrations using the Bootstrap Algorithm. Tech Rep RP 1380, 40 pp, NASA, Technical Report
Curry JA, Rossow WB, Randall D, Schramm JL (1996) Overview of arctic cloud and radiation charactereistics. J Clim 9:1731–1764
Delworth TL et al (2006) CM2 global coupled climate models – part 1: formulation and simulation characteristics. J Clim 19:675–697
Dethloff K, Rinke A, Lynch A, Dorn W, Saha S, Handorf D (2008) Chapter 8: Arctic regional climate models. In: Arctic climate change — The ACSYS decade and beyond, this volume
deWeaver E, Bitz CM (2006) Atmospheric circulation and Arctic sea ice in CCSM3 at medium and high resolution. J Clim 19:2415–2436
Driesschaert E, Fichefet T, Goosse H, Huybrechts P, Janssens L, Mouchet A, Munhove G, Brovkin V, Weber SL (2007) Modeling the influence of greenland ice sheet melting on the atlantic meridional overturning circulation during the next millennia. Geophys Res Lett 34:L10707
Ebert EE, Curry JA (1993) An intermediate one-dimensional thermodynamic sea ice model for investigating ice-atmosphere interactions. J Geophys Res 98:10,085–10,109
Fichefet T, Morales Maqueda M (1997) Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics. J Geophys Res 102:12,609–12,646
Flato GM (2004) Sea-ice climate and sensitivity as simulated by several global climate models. Clim Dyn 23:229–241
Flato GM, Hibler WD (1992) Modeling pack ice as a cavitating fluid. J Phys Oceanogr 22:626–651
Gent PR, McWilliams JC (1990) Isopycnal mixing in ocean circulation models. J Phys Oceanogr 20:150–155
Gent PR, Craig AP, Bitz CM, Weatherly JW (2002) Parameterization improvements in an eddy-permitting ocean model. J Clim 13:1447–1459
Gerdes R, Köberle C (2007) Comparison of arctic sea ice thickness variability in IPCC climate of the 20th century experiments and in ocean sea ice hindcasts. J Geophys Res 112:C04S13. doi:10.1029/2006JC003,616
Girard E, Blanchet JP (2001) Simulation of arctic diamond dust, ice fog, and thin stratus using an explicit aerosol-cloud-radiation model. J Atmos Sci 58:1199–1221
Gleckler PJ, Taylor KE, Doutriaux C (2008) Performance metrics for climate models. J Geophys Res 113:D06,104. doi:10.1029/2007JD008,972
Gordon C, Cooper C, Senior CA, Banks HT, 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 16:147–168
Gordon HB, O’Farrell SP (1997) Transient climate change in the CSIRO coupled model with dynamics sea ice. Mon Weather Rev 125:875–907
Gorodetskaya IV, Tremblay L-B, Lipert B, Cane MA, Cullather RI (2007) Modification of the arctic ocean short-wave radiation budget due to cloud and sea ice properties in coupled models and observations. J Climate 21:866–882
Gregory JM, Huybrechts P (2006) Ice-sheet contributions to future sea-level change. Philos Trans R Soc A 364:1709–1731
Gregory JM, Mitchell JFB (1997) The climate response to CO2 of the Hadley Centre coupled aogcm with and without flux adjustment. Geophys Res Lett 24:1943–1946
Griffies SM, Böning C, Bryan FO, Chassingnet EP, Gerdes R, Hasumi H, Hirst A, Treguier A-M, Webb D (2000) Developments in ocean climate modeling. Ocean Model 2:123–190
Hahn CJ, Warren SG (2007) A gridded climatology of clouds over land (1971–96) and ocean (1954–97) from surface observations worldwide, Tech. Rep. Documentation, 70pp, Carbon Dioxide Information Analysis Center (CDIAC), Department of Energy, Oak Ridge, Tennessee
Held IM, Soden BJ (2006) Robust responses of the hydrological cycle to global warming. J Clim 19:5686–5699
Hewitt CD, Senior CS, Mitchell J (2001) The impact of dynamic sea-ice on the climate sensitivity of a GCM: a study of past, present, and future climates. Clim Dyn 17:655–668
Hibler WD (1979) A dynamic thermodynamic sea ice model. J Phys Oceanogr 9:815–846
Hibler WD (1980) Modeling a variable thickness ice cover. Mon Weather Rev 108:1943–1973
Hibler WD (1984) The role of sea ice dynamics in modeling CO2 increases. In: Hansen JE, Takahashi T (eds) Climate processes and climate sensitivity. Geophysical monograph 29, vol 5. American Geophysical Union, Washington, DC, pp 238–253
Hirst AC, O’Farrell SP, Gordon HB (2000) Comparison of a coupled oceanatmosphere model with and without oceanic eddy-induced advection. Part I: Ocean spinup and control integrations. J Clim 13:139–163
Holland DM, Mysak LA, Manak DK, Oberhuber JM (1993) Sensitivity study of a dynamic thermodynamic sea ice model. J Geophys Res 98:2561–2586
Holland MM, Bitz CM (2003) Polar amplification of climate change in the coupled model intercomparison project. Clim Dyn 21:221–232
Holland MM, Bitz C, Weaver A (2001) The influence of sea ice physics on simulations of climate change. J Geophys Res 106:2441–2464
Holland MM, Bitz CM, Hunke EC, Lipscomb WH, Schramm JL (2006) Influence of the sea ice thickness distribution on polar climate in CCSM3. J Clim 19:2398–2414
Holloway G, Proshutinsky A (2007) Role of tides in Arctic ocean/ice climate. J Geophys Res 112:C04S06. doi:10.1029/2006JC003,643
Hu Z-Z, Kuzmina SI, Bengtsson L, Holland DM (2004) Sea-ice change and its connection with climate change in the arctic in CMIP2 simulations. J Geophys Res 109:D10,106. doi:10.1029/2003JD004,454
Hunke EC, Dukowicz JK (1997) An elastic-viscous-plastic model for sea ice dynamics. J Phys Oceanogr 27:1849–1867
Hunke EC, Zhang Y (2000) Comparison of sea ice dynamics models at high resolution. Mon Weather Rev 127:396–408
Huwald H, Tremblay L-B, Blatter H (2005) A multilayer sigma-coordinate thermodynamic sea ice model: Validation against Surface Heat Budget of the Arctic Ocean (SHEBA)/Sea Ice Model Intercomparison Project Part 2 (SIMIP2) data. J Geophys Res 110:C05,010. doi:10.1029/2004JC002,328
Huybrechts P, Janssens I, Pocin C, Fichefet T (2002) The response of the greenland ice sheet to climate changes in the 21st century by interactive coupling of an aogcm with a thermomechanical ice-sheet model. Ann Glaciol 34:408–415
IPCC (1992) Climate change 1992: the IPCC scientific assembly supplementary report. Cambridge University Press, Cambridge, 198pp
IPCC (2007) Climate change 2007 the physical science basis. Contribution of Working Group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 996pp
Jochum M, Danabasoglu G, Holland MM, Kwon Y, Large W (2008) Ocean viscosity and climate. J Geophys Res 113:C06017. doi:10.1029/2007JC004,515
Kreyscher M, Harder M, Lemke P, Flato GM (2000) Results of the sea ice model intercomparison project: evaluation of sea ice rheology schemes for use in climate simulations. J Geophys Res 105:11,299–11,320
Laxon S, Peacock N, Smith D (2003) High interannual variability of sea ice thickness in the Arctic region. Nature 425:947–950
Lemke P, Owens W, Hibler W (1990) A coupled sea ice-mixed layer-pycnocline model for the weddell sea. J Geophys Res 95:9513–9525
Lemke P, Hibler W, Flato G, Harder M, Kreyscher M (1997) On the improvement of sea ice models for climate simulations: the sea ice model intercomparison project. Ann Glaciol 25:183–187
Lipscomb WH (2001) Remapping the thickness distribution in sea ice models. J Geophys Res 106:13,989–14,000
Lipscomb WH, Hunke EC (2004) Modeling sea ice transport using incremental remapping. Mon Weather Rev 132:1341–1354
Manabe S, Stouffer RJ, Spellman MJ, Bryan K (1991) Transcient responses of a coupled ocean-atmosphere model to gradual changes of atmospheric CO2. Part I. Annual mean response. J Clim 4:785–818
Marsland SJ, Haak H, Jungclaus JH, Latif M, Roeske F (2003) The max-planck-institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Model 5:91–127
Martin G, Ringer M, Pope V, Jones A, Dearden C, Hinton T (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1. Part 1: Model description and global climatology. J Clim 19:147–168
Maykut GA, Untersteiner N (1971) Some results from a time-dependent thermodynamic model of sea ice. J Geophys Res 76:1550–1575
McFarlane NA, Boer GJ, Blanchet J-P, Lazare M (1992) The Canadian Climate Centre second-generation general circulation model and its equilibrium climate. J Clim 5:1013–1044
McLaren AJ et al (2006) Evaluation of the sea ice simulation in a new coupled atmosphere-ocean climate model (HadGEM1). J Geophys Res 111:C12,014, doi:10.1029/2005JC003,033
Meehl GA, Boer G, Covey C, Latif M, Stouffer R (2000) Coupled model intercomparison project. Bull Am Meteorol Soc 81:313–318
Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ, Taylor KE (2007) The WCRP CMIP3 multimodel dataset: A new era in climate change research. Bull Am Meteorol Soc. doi:10.1175/BAMS–88–9–1383
Mikolajewicz U, Vizcaino M, Jungclaus J, Schurgers G (2007) Effect of ice sheet interactions in anthropogenic climate change simulations. Geophys Res Lett 34:L18706
Moritz RE, Bitz CM (2000) Climate model underestimates natural variability of Northern Hemisphere sea ice extent. Science 288:927a
Oberhuber JM (1993) Simulation of the Atlantic circulation with a coupled sea-ice-mixed layer-isopycnical general circulation model. Part I: model description. J Phys Oceanogr 23:808–829
O’Farrell SP (1998) Investigation of the dynamic sea-ice component of a coupled atmosphere sea-ice general circulation model. J Geophys Res 103:15,751–15,782
Oort AH (1974) Year-to-year variations in the energy balance of the arctic atmosphere. J Geophys Res 79:1253–1260
Overland JE, Turet P (1994) Variability of the atmospheric energy flux across 70 N computed from the GFDL data set. In: Johannessen OM, Muench RD, Overland JE (eds) Polar oceans and their role in shaping the global environment. Geophysics Monograph 85. American Geophysical Union, Washington, DC
Pedersen CA, Roeckner E, Lüthje M, Winther J-G (2009) A new sea ice albedo scheme including melt ponds for ECHAM5 general circulation model. J Geophys Res 114. doi:10.1029/2008JD010,440
Pollard D, Thompson SL (1994) Sea-ice dynamics and co2 sensitivity in a global climate model. Atmos Ocean 32:449–467
Proshutinsky A, Kowalik Z (2001) Preface to special section on Arctic Ocean Model Intercomparison Project (AOMIP) studies and results. J Geophys Res 112:C04S01. doi:10.1029/2006JC004,017
Proshutinsky A et al (2001) The Arctic Ocean Model Intercomparison Project (AOMIP). EOS Trans Am Geophys Union 82(51):637–644
Randall D et al (1998) Status of and outlook for large-scale modeling of atmosphere-ice-ocean interactions in the arctic. Bull Am Meteorol Soc 79:197–219
Ridley JK, Huybrechts P, Gregory JM, Lowe JA (2005) Elimination of the greenland ice sheet in a high co2 climate. J Clim 18:3409–3427
Rind D, Healy R, Parkinson C, Martinson D (1995) The role of sea ice in 2XCO2 climate model sensitivity. 1. The total influence of sea ice thickness and extent. J Clim 8:449–463
Rothrock DA, Yu Y, Maykut GA (1999) Thinning of the arctic sea ice cover. Geophys Res Lett 26:3469–3472
Salas-Mélia D (2002) A global coupled sea ice-ocean model. Ocean Model 4:137–172
Schmidt GA, Bitz CM, Mikolajewicz U, Tremblay LB (2004) Ice-ocean boundary conditions for coupled models. Ocean Model 7:59–74. doi:10.1016/S1463–5003(03)00,030–1
Sellers WD (1969) A global climate model based on the energy balance of the earth-atmosphere system. J Appl Meteorol 8:392–400
Semtner AJ (1976) A model for the thermodynamic growth of sea ice in numerical investigaions of climate. J Phys Oceanogr 6:379–389
Shupe MD, Intrieri JM (2004) Cloud radiative forcing of the arctic surface: the influence of cloud properties, surface albedo, and solar zenith angle. J Clim 17:616–628
Slingo JM (1987) The development and verification of a cloud prediction scheme for the ECMWF model. Q J R Meteorol Soc 113:899–927
Stroeve J, Holland MM, Meier W, Scambos T, Serreze M (2007) Arctic sea ice decline: faster than forecast. Geophys Res Lett 34. doi:10.1029/2007GL029,703
Sundqvist H, Berge E, Kristjánsson JE (1989) Condensation and cloud parameterization studies with a mesoscale numerical weather prediction model. Mon Weather Rev 117:1641–1657
Tao X, Walsh JE, Chapman WL (1996) An assessment of global climate model simulations of arctic air temperatures. J Clim 9:1060–1075
Taylor PD, Feltham DL (2003) A model of melt pond evolution on sea ice. J Geophys Res 109:C12,007. doi:10.1029/2004JC002,361
Uppala S et al (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131:2961–3012
Vavrus SJ (1999) The response of the coupled Arctic sea ice-atmosphere system to orbital forcing and ice motion at 6 ka and 115 ka BP. J Clim 12:873–896
Vavrus SJ, Harrison S (2003) The impact of sea-ice dynamics on the Arctic climate system. Clim Dyn 20:741–757
Walsh J, Timlin M (2003) Northern Hemisphere sea ice simulations by global climate models. Polar Res 22:75–82
Walsh JE, RG Crane (1992) A comparison of gcm simulations of Arctic climate. Geophys Res Lett 19:29–32
Walsh JE, Kattsov VM, Chapman WL, Govorkova V, Pavlova T (2002) Comparison of arctic climate simultations by uncoupled and coupled global models. J Clim 15:1429–1446
Wang M, Overland JE, Kattsov V, Walsh JE, Zhang X, Pavlova T (2007) Intrinsic versus forced variation in coupled climate model simulations over the arctic during the twentieth century. J Clim 20:1093–1107. doi:10.1175/JCLI4043.1
Washington WM, Meehl GA (1989) Climate sensitivity due to increased co2: Experiments with a coupled atmosphere and ocean general circulation model. Clim Dyn 8:211–223
Wetherald R, Manabe S (1988) Cloud feedback processes in a general circulation model. J Atmos Sci 45:1397–1415
Winton M (2000) A reformulated three-layer sea ice model. J Atmos Ocean Technol 17:525–531
Wolff J-O, Maier-Reimer E, legutke S (1997) The Hamburg ocean primitive equation model. Tech. Rep., No. 13, German Climate Computer Center (DKRZ), Hamburg, 98pp
Wyser K et al (2007) An evaluation of arctic cloud and radiation processes during the SHEBA year: Simulation results from eight arctic regional climate models. Clim Dyn 22. doi:10.1007/s00,382–007–0286–1
Yukimoto S, Noda A, Uchiyama T, Kusunoki S (2006) Climate change of the twentieth through twenty-first centuries simulated by the MRI-CGCM2.3. Pap Meteorol Geophys 56:9–24
Zhang J, Rothrock D (2000) Modeling arctic sea ice with an efficient plastic solution. J Geophys Res 108:3325–3338
Zhang X, Walsh JE (2006) Toward a seasonally ice-covered Arctic Ocean: Scenarios from the IPCC AR4 model simulations. J Clim 19:1730–1747
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Bitz, C.M., Ridley, J.K., Holland, M., Cattle, H. (2012). Global Climate Models and 20th and 21st Century Arctic Climate Change. In: Lemke, P., Jacobi, HW. (eds) Arctic Climate Change. Atmospheric and Oceanographic Sciences Library, vol 43. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2027-5_11
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