A sensitivity study of the sea ice simulation in the global coupled climate model, HadGEM3

Ocean Modelling

Volumn 74, Issue , 2014, Pages 60-76

  Rae, J G L ^a   Hewitt, H T ^a   Keen, A B ^a   Ridley, J K ^a   Edwards, J M ^a   Harris, C M ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

Antarctic; Arctic; Coupling; Modelling; Sea ice; Sensitivity

Indexed keywords

ANTARCTIC; ARCTIC; COUPLED CLIMATE MODEL; GLOBAL COUPLED MODEL; POLEWARD HEAT TRANSPORT; SEA SURFACE TEMPERATURE (SST); SENSITIVITY; SENSITIVITY STUDIES;

CLIMATE CHANGE; CLIMATE MODELS; COUPLINGS; HEAT FLUX; MODELS; OCEANOGRAPHY;

SEA ICE;

ATMOSPHERE-ICE-OCEAN SYSTEM; ATMOSPHERE-OCEAN COUPLING; ATMOSPHERIC FORCING; ATMOSPHERIC GENERAL CIRCULATION MODEL; OCEANIC GENERAL CIRCULATION MODEL; SEA ICE; SEA SURFACE TEMPERATURE; SPATIAL RESOLUTION;

ANTARCTICA; ARCTIC; ATLANTIC OCEAN; LABRADOR SEA; SOUTHERN OCEAN;

EID: 84893004393     PISSN: 14635003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocemod.2013.12.003     Document Type: Article

References (51)

1. Andreas E.L., Horst T.W., Grachev A.A., Persson O.G., Fairall C.W., Gueste P.S., Jordan R.E. Parametrizing turbulent exchange over summer sea ice and the marginal ice zone. Q. J. R. Meteorolog. Soc. 2010, 136:927-943. 10.1002/qj.618.
2. Banks H.T., Stark S., Keen A.B. The adjustment of the coupled climate model HadGEM1 toward equilibrium and the impact on global climate. J. Climate 2007, 20:5815-5826. 10.1175/2007JCLI1688.1.
3. Best M.J., Pryor M., Clark D.B., Rooney G.G., Essery R.L.H., Ménard C.B., Edwards J.M., Hendry M.A., Porson A., Gedney N., Mercado L.M., Sitch S., Blyth E., Boucher O., Cox P.M., Grimmond C.S.B., Harding R.J. The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes. Geosci. Model Dev. 2011, 4:1-23.
4. Bitz C.M., Lipscomb W.H. An energy-conserving thermodynamic model of sea ice. J. Geophys. Res. 1999, 104(C7):15669-15677.
5. Calonne N., Flin F., Morin S., Lesaffre B., Rolland du Roscoat S., Geindreau C. Numerical and experimental investigations of the effective thermal conductivity of snow. Geophys. Res. Lett. 2011, 38:L23501. 10.1029/2011GL049234.
6. Cullen M.J.P., Davies T. A conservative split-explicit integration scheme with fourth-order horizontal advection. Q. J. R. Meteorolog. Soc. 1991, 117:993-1002.
7. Curry J.A., Schramm J.L., Perovich D.K., Pinto J.O. Applications of SHEBA/FIRE data to evaluation of snow/ice albedo parameterizations. J. Geophys. Res. 2001, 106(D14):15345-15355.
8. Davies T., Cullen M.J.P., Malcolm A.J., Mawson M.H., Staniforth A., White A.A., Wood N. A new dynamical core for the Met Office's global and regional modelling of the atmosphere. Q. J. R. Meteorolog. Soc. 2005, 131:1759-1782.
9. Dorn W., Dethloff K., Rinke A., Frickenhaus S., Gerdes R., Karcher M., Kauker F. Sensitivities and uncertainties in a coupled regional atmosphere-ocean-ice model with respect to the simulation of Arctic sea ice. J. Geophys. Res. 2007, 112:D10118. 10.1029/2006JD007814.
10. Graversen R.G., Mauritsen T., Tjernstrom M., Kallen E., Svensson G. Vertical structure of recent Arctic warming. Nature 2008, 541:53-57. 10.1038/nature06502.
11. Harris, C.M., et al. (in preparation). The Met Office Global Coupled 1.0 and 2.0 configurations. To be submitted to Geosci. Model Dev.
12. Hewitt H.T., Copsey D., Culverwell I.D., Harris C.M., Hill R.S.R., Keen A.B., McLaren A.J., Hunke E.C. Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system. Geosci. Model Dev. 2011, 4:223-253. 10.5194/gmd-4-223-2011.
13. Holland M.M., Bitz C.M., Hunke E.C., Lipscomb W.H., Schramm J.L. Influence of the sea ice thickness distribution on polar climate in CCSM3. J. Climate 2006, 19:2398-2414. 10.1175/JCLI3751.1.
14. Hunke E.C. Thickness sensitivities in the CICE sea ice model. Ocean Modell. 2010, 34:137-149. 10.1016/j.ocemod.2010.05.004.
15. Hunke, E.C., Lipscomb, W.H., 2010. CICE: the Los Alamos sea ice model documentation and software users' manual, Version 4.1, LA-CC-06-012, Los Alamos National Laboratory, N.M.
16. Keen, A.B., Hewitt, H.T., Ridley, J.K., 2013. A case study of a modelled episode of low Arctic sea ice. Clim. Dyn. (in press). doi:10.1007/s00382-013-1679-y.
17. Kim J.G., Hunke E.C., Lipscomb W.H. Sensitivity analysis and parameter tuning scheme for global sea-ice modeling. Ocean Modell. 2006, 14:61-80. 10.1016/j.ocemod.2006.03.003.
18. Lewis, E.L., 1967. Heat flow through winter ice. In: Oura, H. (Ed.), Physics of Snow and Ice: International Conference on Low Temperature Science 1966, vol. 1 (1), Inst. of Low Temp. Sci., Hokkaido Univ., Sapporo, Japan, pp. 611-631.
19. Lipscomb W.H., Hunke E.C., Maslowski W., Jakacki J. Ridging, strength, and stability in high-resolution sea ice models. J. Geophys. Res. 2007, 112. C03S91. 10.1029/2005JC003355.
20. Madec, G., 2008. NEMO Ocean Engine. Note du Pole de Modélisation, Institut Pierre-Simon Laplace (IPSL), France, No 27, ISSN No 1288-1619.
21. Massonnet F., Fichefet T., Goosse H., Vancoppenolle M., Mathiot P., König Beatty C. On the influence of model physics on simulations of Arctic and Antarctic sea ice. The Cryosphere 2011, 5:687699. 10.5194/tc-5-687-2011.
22. Maykut G.A., McPhee M.G. Solar heating of the Arctic mixed layer. J. Geophys. Res. 1995, 100(C12):24691-24703.
23. Maykut G.A., Untersteiner N. Some results from a time-dependent model of sea ice. J. Geophys. Res. 1971, 76(6):1550-1575.
24. McLaren A.J., Banks H.T., Durman C.F., Gregory J.M., Johns T.C., Keen A.B., Ridley J.K., Roberts M.J., Lipscomb W.H., Connolley W.M., Laxon S.W. Evaluation of the sea ice simulation in a new coupled atmosphere-ocean climate model (HadGEM1). J. Geophys. Res. 2006, 111:C12014. 10.1029/2005JC003033.
25. McPhee M.G. Turbulent heat flux in the upper ocean under sea ice. J. Geophys. Res. 1992, 97(C4):5365-5379.
26. Megann A., Storkey D., Aksenov Y., Alderson S., Calvert D., Graham T., Hyder P., Siddorn J., Sinha B. GO5.0: The joint NERC-Met Office NEMO global ocean model for use in coupled and forced applications. Geosci. Model Dev. Discuss. 2013, 6:5747-5799.
27. Miller P.A., Laxon S.W., Feltham D.L., Cresswell D.J. Optimization of a sea ice model using basinwide observations of Arctic sea ice thickness, extent, and velocity. J. Climate 2006, 19:1089-1108.
28. Miller P.A., Laxon S.W., Feltham D.L. Consistent and contrasting decadal Arctic sea ice thickness predictions from a highly optimized sea ice model. J. Geophys. Res. 2007, 112(C7):1-16.
29. Nakawo M., Sinha N.K. Growth rate and salinity profile of first-year sea ice in the high Arctic. J. Glaciol. 1981, 27(96):315-330.
30. Notz D. Sea-ice extent provides a limited metric of model performance. The Cryosphere Discuss. 2013, 7:30953131. 10.5194/tcd-7-3095-2013.
31. Notz D., Worster M.G. Desalination processes of sea ice revisited. J. Geophys. Res. 2009, 114:C05006. 10.1029/2008JC004885.
32. Pirazzini, R., 2008. Factors controlling the surface energy budget over snow and ice. Finnish Meteorolog. Inst. Contributions 75, 55pp.
33. Pringle D.J., Eicken H., Trodahl H.J., Backstrom L.G.E. Thermal conductivity of landfast Antarctic and Arctic sea ice. J. Geophys. Res. 2007, 112:C04017. 10.1029/2006JC003641.
34. Rae, J.G.L., Hewitt, H.T., Keen, A.B., Ridley, J.K., West, A.E., Harris, C.M., Hunke, E.C., Walters, D.N. (in preparation), Development of Global Sea Ice 5.0 and 6.0 CICE configurations, to be submitted to Geosci. Model Dev.
35. Rayner N.A., Parker D.E., Horton E.B., Folland C.K., Alexander L.V., Rowell D.P., Kent E.C., Kaplan A. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res. 2003, 108(D14):4407. 10.1029/2002JD002670.
36. Schwarzacher W. Pack-ice studies in the Arctic Ocean. J. Geophys. Res. 1959, 64(12):2357-2367.
37. Schweiger A., Lindsay R., Zhang J., Steele M., Stern H., Kwok R. Uncertainty in modeled Arctic sea ice volume. J. Geophys. Res. 2011, 116. C00D06.
38. Semtner A.J. A model for the thermodynamic growth of sea ice in numerical investigations of climate. J. Phys. Oceanogr. 1976, 6:379-389.
39. Semtner A.J. A numerical study of sea ice and ocean circulation in the Arctic. J. Phys. Oceanogr. 1987, 17:1077-1099.
40. Sturm M., Holmgren J., König M., Morris K. The thermal conductivity of seasonal snow. J. Glaciol. 1997, 43(143):26-41.
41. Taylor P.C., Cai M., Hu A., Meehl G.A., Washington W., Zhang G.J. A decomposition of feedback contributions to polar warming amplification. J. Climate 2013, 26:7023-7043. http://dx.doi.org/10.1175/JCLI-D-12-00696.1.
42. Uotila P., O'Farrell S., Marsland S.J., Bi D. A sea-ice sensitivity study with a global ocean-ice model. Ocean Modell. 2012, 51:1-18. 10.1016/j.ocemod.2012.04.002.
43. Valcke, S., 2006. OASIS3 User Guide (prism2-5). PRISM Support Initiative No 3, 68 pp.
44. Vancoppenolle M., Fichefet T., Bitz C.M. On the sensitivity of undeformed Arctic sea ice to its vertical salinity profile. Geophys. Res. Lett. 2005, 32:L16502. 10.1029/2005GL023427.
45. Vancoppenolle M., Fichefet T., Goosse H. Simulating the mass balance and salinity of Arctic and Antarctic sea ice. 2. Importance of sea ice salinity variations. Ocean Modell. 2009, 27:54-69. 10.1016/j.ocemod.2008.11.003.
46. Vavrus S. The impact of cloud feedbacks on arctic climate under greenhouse forcing. J. Climate 2004, 17(3):603-615. http://dx.doi.org/10.1175/1520-0442(2004)017%3c0603:TIOCFO%3e2.0.CO;2.
47. Walters D.N., Williams K.D., Boutle I.A., Bushell A.C., Edwards J.M., Field P.R., Lock A.P., Morcrette C.J., Stratton R.A., Wilkinson J.M., Willett M.R., Brooks M.E., Copsey D., Earnshaw P.D., Harris C.M., Manners J.C., MacLachlan C., Milton S.F., Palmer M.D., Roberts M.J., Tennant W.J., Vidale.P.L. The Met Office Unified Model Global Atmosphere 4. 0 and JULES Global Land 4.0 configurations. Geosci. Model Dev. Discuss. 2013, 6:2813-2881.
48. Walters, D.N., et al. (in preparation). The Met Office Unified Model Global Atmosphere 5.0/6.0 and JULES Global Land 5.0/6.0 configurations. To be submitted to Geosci. Model Dev.
49. Wettlaufer J.S. Heat flux at the ice-ocean interface. J. Geophys. Res. 1991, 96(C4):7215-7236.
50. Wood, N., Staniforth, A., White, A., Allen, T., Diamantakis, M., Gross, M., Melvin, T., Smith, C., Vosper, S., Zerroukat, M., Thuburn, J., 2013. An inherently mass-conserving semi-implicit semi-Lagrangian discretisation of the deep-atmosphere global nonhydrostatic equations. Q. J. R. Meteorolog. Soc. http://dx.doi.org/10.1002/qj.2235.
51. Zhang J., Rothrock D. A thickness and enthalpy distribution sea-ice model. J. Phys. Oceanog. 2001, 31:2986-3001.