Effect of sea ice morphology during Arctic summer on atmospheric drag coefficients used in climate models

Geophysical Research Letters

Volumn 40, Issue 2, 2013, Pages 446-451

  Lupkes C ^a   Gryanik, V M ^a,b   Rosel A ^c   Birnbaum, G ^a   Kaleschke, L ^c  

^a ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

^b OBUKHOV INSTITUTE OF ATMOSPHERIC PHYSICS   (Russian Federation)

^c UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC FLUXES; ATMOSPHERIC PROCESS; GENERAL CIRCULATION MODEL; GOVERNING PARAMETERS; NON-MONOTONIC DEPENDENCE; REALISTIC MODELING; REMOTE SENSING DATA; SEA ICE CONCENTRATION;

CLIMATE MODELS; DRAG COEFFICIENT; LAKES; MORPHOLOGY;

SEA ICE;

AIR-SEA INTERACTION; CLIMATE MODELING; DRAG COEFFICIENT; GENERAL CIRCULATION MODEL; GEOGRAPHICAL DISTRIBUTION; MOMENTUM; REMOTE SENSING; SATELLITE DATA; SEA ICE; SUMMER;

ARCTIC;

EID: 84874901502     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/grl.50081     Document Type: Article

References (17)

1. Andreas, E. L. (2011), A relationship between the aerodynamic and physical roughness of winter sea ice, Q.J.R. Meteorol. Soc., 137, 1581-1588.
2. Andreas, E. L., T. W. Horst, A. A. Grachev, P. O. G. Persson, C. W. Fairall, P. S. Guest, and R. E. Jordan (2010), Parametrizing turbulent exchange over summer sea ice and the marginal ice zone, Q.J.R. Meteorol. Soc., 138, 927-943.
3. Fetterer, F., K. Knowles, W. Meier, and M. Savoie (2002), updated (2009), Sea Ice Index, Boulder, Colorado USA: National Snow and Ice Data Center, Digital media.
4. Large, W. G., and S. G. Yeager (2009), The global climatology of an interannually varying air-sea flux data set, Clim. Dyn., 33, 341-364, doi:10.1007/s00382-008-0441-3.
5. Losch, M., D. Menemenlis, P. Heimbach, J.-M. Campin, and C. Hill (2010), On the formulation of sea-ice models. Part 1: Effects of different solver implementations and parameterizations, Ocean Modell., 33, 129-144.
6. Lüpkes, C., V. M. Gryanik, J. Hartmann, and E. L. Andreas (2012), A parametrization, based on sea ice morphology, of the neutral atmospheric drag coefficients for weather prediction and climate models, J. Geophys. Res., 117, D13112, doi:10.1029/2012JD017630.
7. Marshall, J., A. Adcroft, C. Hill, L. Perelman, and C. Heisey (1997), A finite-volume, incompressible Navier-Stokes model for studies of the ocean on parallel computers, J. Geophys. Res., 102(C3), 5753-5766.
8. Neale, R. B., et al. (2010), Description of the NCAR Community Atmospheric Model (CAM 5.0), NCAR technical note, NCAR/TN- 486 + STR, 268 pp.
9. Nguyen T., D. Menemenlis, and R. Kwok (2011), Arctic ice-ocean simulation with optimized model parameters: Approach and assessment, J. Geophys. Res., 116, C04025, doi:10.1029/2010JC006573.
10. Röckner, E., et al. (2003), The atmospheric general circulation model ECHAM5: Model description, Part 1, Max Planck-Institut für Meteorologie, Report No. 349, Hamburg, 127 pp.
11. Rösel, A., L. Kaleschke, and G. Birnbaum (2012), Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network, The cryosphere, 6, doi:10.5194/tc-6-431-2012.
12. Saha, S. K., A. Rinke, K. Dethloff, and P. Kuhry (2006), The influence of a complex land surface scheme on Arctic climate simulation, J. Geophys. Res., 111, D22104, doi:10.1029/2006JD007188. (Pubitemid 47386201)
13. Shonk, J. K. P., R. J. Hogan, J. Manners (2012), Impact of improved representation of horizontal and vertical cloud structure in a climate model, Clim. Dyn., 38, doi:10.1007/s00382-011-1174-2.
14. Stössel, A., W.-G. Cheon, and T. Vihma (2008), Interactive momentum flux forcing over sea ice in a global ocean GCM, J. Geophys. Res., 113, C05010, doi:10.1029/2007JC004173.
15. Tjernström, M., et al. (2005), Modelling the arctic boundary layer: An evaluation of six arcmip regional-scale models using data from the Sheba project, Boundary-Layer Meteorol., 117(2), 337-381. (Pubitemid 43149396)
16. Vihma, T., J. Jaagus, E. Jakobson, and T. Palo (2008), Meteorological conditions in the Arctic Ocean in spring and summer 2007 as recorded on the drifting ice station Tara, Geophys. Res. Lett., 35, L18706, doi:10.1029/ 2008GL034681.
17. Zhang J., and D. A. Rothrock (2003), Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates, Mon. Wea. Rev., 131, 845-861. (Pubitemid 36659042)