Assimilating synthetic CryoSat sea ice thickness in a coupled ice-ocean model

Journal of Geophysical Research: Oceans

Volumn 112, Issue 7, 2007, Pages

  Lisæter, Knut A ^a   Evensen, Geir ^a,b   Laxon, S W ^c  

^a NANSEN ENVIRONMENTAL AND REMOTE SENSING CENTER   (Norway)

^b STATOIL   (Norway)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; KALMAN FILTERS; MATHEMATICAL MODELS; OCEANOGRAPHY; RHEOLOGY; SEA ICE;

DATA ASSIMILATION; ENSEMBLE FORECASTING; ICE THICKNESS; ICE-OCEAN INTERACTION; KALMAN FILTER; MODELING; PREDICTION; RHEOLOGY; SEA ICE; STOCHASTICITY;

ARCTIC OCEAN;

EID: 34548621136     PISSN: None     EISSN: 21699291     Source Type: Journal    
DOI: 10.1029/2006JC003786     Document Type: Article

References (47)

1. Aagaard, K., and E. C. Carmack (1989), The role of sea ice and other fresh water in the arctic circulation, J. Geophys. Res., 94(C10), 14,485-14,498.
2. Anderson, J. L. (2001), An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2884-2903.
3. Bentsen, M., G. Evensen, H. Drange, and A. D. Jenkins (1999), Coordinate transform on a sphere using conformal mapping, Mon. Weather Rev., 127, 2733-2740.
4. Bishop, C. H., B. J. Etherton, and S. Majumdar (2001), Adaptive sampling with the Ensemble Transform Kalman Filter part 1: Theoretical aspects, Mon. Weather Rev., 127, 420-436.
5. Bleck, R. (2002), An oceanic circulation model framed in hybrid isopycnic-Cartesian coordinates, Ocean Modell., 1, 55-88.
6. Bleck, R., and L. Smith (1990), A wind-driven isopycnic coordinate model of the north and equatorial Atlantic Ocean. 1. Model development and supporting experiments, J. Phys. Oceanogr., 95, 3273-3285.
7. Brusdal, K., J. M. Brankart, G. Halberstadt, G. Evensen, P. Brasseur, P. J. van Leeuwen, E. Dombrowsky, and J. Verron (2003), A demonstration of ensemble-based assimilation methods with a layered OGCM from the perspective of operational ocean forecasting systems, J. Mar. Syst., 40-41, 253-289.
8. Burgers, G., P. J. van Leeuwen, and G. Evensen (1998), Analysis scheme in the Ensemble Kalman Filter, Mon. Weather Rev., 126, 1719-1724.
9. Cooper, M., and K. Haines (1996), Altimetric assimilation with water property conservation, J. Geophys. Res., 101(C1), 1059-1077.
10. De Mey, P., and M. Benkiran (2001), A multivariate reduced-order optimal interpolation method and its application to the Mediterranean basin-scale circulation, in Ocean Forecasting, Conceptual Basis and Applications, edited by N. Pinardi and J. D. Woods, pp. 281-306, Springer, New York.
11. Drange, H., and K. Simonsen (1996), Formulation of air-sea fluxes in ESOP2 version of MICOM, Tech. Rep. 125, Nansen Environ. and Remote Sens. Cent., Bergen, Norway.
12. Dümenil, L., K. Isele, H. J. Liebscher, U. Schröder, and K. Wilke (1993), Discharge data from 50 selected rivers for GCM validation, Tech. Rep. 100, Max Planck Inst. für Meteorol., Hamburg, Germany.
13. Evensen, G. (1994), Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, J. Geophys. Res., 99(C5), 10,143-10,162.
14. Evensen, G. (2003), The Ensemble Kalman Filter: Theoretical formulation and practical implementation, Ocean Dyn., 53(4), 343-367.
15. Evensen, G. (2004), Sampling strategies and square root analysis schemes for the EnKF, Ocean Dyn., 54(6), 539-560.
16. Forsberg, R., and H. Skorup (2005), Arctic Ocean gravity, geoid and sea-ice freeboard heights from ICESat and GRACE, Geophys. Res. Lett., 32(21), L21502, doi:10.1029/2005GL023711.
17. Hamill, T. M., and J. S. Whitaker (2005), Accounting for the error due to unresolved scales in ensemble data assimilation: A comparison of different approaches, Mon. Weather Rev., 133, 3132-3147.
18. Harder, M. (1996), Dynamik, rauhigkeit und alter des meereises in der arktis, Ph.D. thesis, Alfred-Wegner-Inst. für Polar- und Meereisforsch., Bremerhaven, Germany.
19. Haugen, V. E. J., and G. Evensen (2002), Assimilation of SLA and SST data into an OGCM for the Indian Ocean, Ocean Dyn., 52, 133-151.
20. Hibler, W. D., III (1979), A dynamic thermodynamic sea ice model, J. Phys. Oceanogr., 9, 815-846.
21. Houtekamer, P. L., and H. L. Mitchell (1998), Data assimilation using an ensemble Kalman filter technique, Mon. Weather Rev., 126, 796-811.
22. Houtekamer, P. L., and H. L. Mitchell (2001), A sequential Ensemble Kalman Filter for atmospheric data assimilation, Mon. Weather Rev., 129, 123-137.
23. Hunke, E. C., and J. K. Dukowicz (1997), An elastic-viscous-plastic model for sea ice dynamics, J. Phys. Oceanogr., 27, 1849-1867.
24. Jazwinski, A. H. (1970), Stochastic Processes and Filtering Theory, Academic Press, San Diego, Calif.
25. Kalnay, E., et al. (1996), The NCEP/NCAR Reanalysis Project, Bull. Am. Meteorol. Soc., 77, 437-471.
26. Keppenne, C. L., and M. M. Rienecker (2002), Initial testing of a massively parallel ensemble Kalman filter with the Poseidon isopycnal ocean general circulation model, Mon. Weather Rev., 130, 2951-2965.
27. Kwok, R. (2002), Sea ice concentration estimates from satellite passive microwave radiometry and openings from SAR ice motion, Geophys. Res. Lett., 29(9), 1311, doi:10.1029/2002GL014787.
28. Large, W. C., J. C. McWilliams, and S. C. Doney (1994), Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization, Rev. Geophys., 32(4), 363-403.
29. Laxon, S. (2001), Simulated ice thickness from radar altimeter (task 4.1), in The Quantification of the Importance of the Sea Ice Budget in the Climate System, Tech. Rep. 207, Nansen Environ. and Remote Sens. Cent., Bergen, Norway.
30. Laxon, S., N. Peacock, and D. Smith (2003), High interannual variability of sea ice thickness in the Arctic region, Nature, 425, 947-949, doi:10.1038/nature02050.
31. Levitus, S., and T. P. Boyer (1994), World Ocean Atlas 1994, vol. 4, Temperature, NOAA Atlas NESDIS, vol. 4, 129 pp., NOAA, Silver Spring, Md.
32. Levitus, S., R. Burgett, and T. P. Boyer (1994), World Ocean Atlas 1994, vol. 3 Salinity, NOAA Atlas NESDIS, vol. 3, 111 pp., NOAA, Silver Spring, Md.
33. Lindsay, R. W., and J. Zhang (2006), Assimilation of ice concentration in an ice-ocean model, J. Atmos. Oceanic Technol., 23, 742-749.
34. Lisæter, K. A., J. Rosanova, and G. Evensen (2003), Assimilation of ice concentration in a coupled ice-ocean model, using the ensemble Kalman filter, Ocean Dyn., 53, 368-388.
35. Marshall, J., and F. Schott (1999), Open-ocean convection: Observations, theory and models, Rev. Geophys., 37(1), 1-64.
36. Meier, W. N., J. A. Maslanik, and C. W. Fowler (2000), Error analysis and assimilation of remotely sensed ice motion within an Arctic sea ice model, J. Geophys. Res., 105(C2), 3339-3356.
37. Montgomery, R. B. (1938), Circulation in upper layers of southern North Atlantic deduced with use of isentropic analysis, Pap. Phys. Oceanogr. Meteorol., 6, 55 pp.
38. Peacock, N. R., and S. W. Laxon (2004), Sea surface height determination in the Arctic Ocean from ERS altimetry, J. Geophys. Res., 109, C07001, doi:10.1029/2001JC001026.
39. Pham, D. T. (2001), Stochastic methods for data assimilation in strongly nonlinear systems, Mon. Weather Rev., 129, 1194-1207.
40. Radionov, V. F., N. N. Bryazgin, and Y. I. Aleksandrov (1996), The Snow Cover of the Arctic Basin, Gidrometeoizdat, St. Petersburg, Russia.
41. Roach, A. T., K. Aagaard, and F. D. Carsey (1993), Coupled ice-ocean variability in the Greenland Sea, Atmos. Ocean, 31, 319-337.
42. Rothrock, D. A., J. Zhang, and Y. Yu (2003), The arctic ice thickness anomaly of the 1990s: A consistent view from observations and models, J. Geophys. Res., 108(C3), 3083, doi:10.1029/2001JC001208.
43. Semtner, A. J., Jr. (1976), A model for the thermodynamic growth of sea ice in numerical investigations of climate, J. Phys. Oceanogr., 6, 379-389, 1976.
44. Teague, W. J., M. J. Carron, and P. J. Hogan (1990), A comparision between the generalized digital environmental model and Levitus climatologies, J. Geophys. Res., 95(C5), 7167-7183.
45. Visbeck, M., J. Fischer, and F. Schott (1995), Preconditioning the Greenland Sea for deep convection: Ice formation and ice drift, J. Geophys. Res., 100(C9), 18,489-18,502.
46. Whitaker, J. S., and T. M. Hamill (2002), Ensemble data assimilation without perturbed observations, Mon. Weather Rev., 130, 1913-1924.
47. Zhang, J., D. R. Thomas, D. A. Rothrock, R. W. Lindsay, and Y. Yu (2003), Assimilation of ice motion observations and comparisons with submarine thickness data, J. Geophys. Res., 108(C6), 3170, doi:10.1029/2001JC001041.