Improved turbulent air-sea flux bulk parameters for controlling the response of the ocean mixed layer: A sequential data assimilation approach

Journal of Atmospheric and Oceanic Technology

Volumn 26, Issue 3, 2009, Pages 538-555

  Skachko, Sergey ^a   Brankart, Jean Michel ^a   Castruccio, Frédéric ^a   Brasseur, Pierre ^a   Verron, Jacques ^a  

^a LEGI   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AIR-SEA FLUXES; ARGO FLOATS; ASSIMILATION SYSTEMS; ATMOSPHERIC FORCING; BULK COEFFICIENTS; BULK PARAMETERS; CONTROL VECTORS; EVAPORATION FLUXES; EXCHANGE COEFFICIENTS; GLOBAL OCEAN MODELS; MIXED LAYERS; MODEL PARAMETERS; OCEAN MIXED LAYERS; OCEAN MODELS; PARAMETERIZING; SENSIBLE HEAT FLUXES; SEQUENTIAL DATUM; TEMPORAL SAMPLINGS; THERMOHALINE; TWIN EXPERIMENTS;

HEAT FLUX; HYDROGRAPHIC SURVEYS; OCEAN ENGINEERING; SEAWATER; WEATHER FORECASTING;

OCEANOGRAPHY;

AIR-SEA INTERACTION; ATMOSPHERIC FORCING; DATA ASSIMILATION; ERROR ANALYSIS; EVAPORATION; FORECASTING METHOD; LATENT HEAT FLUX; MIXED LAYER; NUMERICAL MODEL; PARAMETERIZATION; SALINITY; SENSIBLE HEAT FLUX; TURBULENT FLOW; WATER TEMPERATURE;

EID: 65549162683     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JTECHO603.1     Document Type: Article

References (33)

1. Aksoy, A., F. Zhang, and J. W. Nielsen-Gammon, 2006: Ensemble-based simultaneous state and parameter estimation with MM5. Geophys. Res. Lett., 33, L12801, doi:10.1029/2006GL026186.
2. Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
3. Annan, J., D. Lunt, J. Hargreaves, and P. Valdes, 2005: Parameter estimation in an atmospheric GCM using the ensemble Kalman filter. Nonlinear Processes Geophys., 12, 363-371.
4. Birol, F., J.-M. Brankart, F. Catruccio, P. Brasseur, and J. Verron, 2004: Impact of ocean mean dynamic topography on satellite data assimilation. Mar. Geod., 27, 59-78.
5. Blanc, T., 1985: Variation of bulk-derived surface flux, stability, and roughness results due to the use of different transfer coefficient schemes. J. Phys. Oceanogr., 15, 650-669.
6. Blanke, B., and P. Delecluse, 1993: Variability of the tropical Atlantic Ocean simulated by a general circulation model with two differentmixed-layer physics. J. Phys.Oceanogr., 23, 1363-1388.
7. Bloom, S. C., L. Takacs, A. M. Da Silva, and D. Ledvina, 1996: Data assimilation using incremental analysis updates. Mon. Wea. Rev., 124, 1256-1271.
8. Brankart, J.-M., C.-E. Testut, P. Brasseur, and J. Verron, 2003: Implementation of a multivariate data assimilation scheme for isopycnic coordinate ocean models: Application to a 1993-96 hindcast of the North Atlantic Ocean circulation. J. Geophys. Res., 108, 3074, doi:10.1029/2001JC001198.
9. Brasseur, P., and J. Verron, 2006: The SEEK filter method for data assimilation in oceanography: A synthesis. Ocean Dyn., 56, 650-661, doi:10.1007/s10236-006-0080-3.
10. Brasseur, P., J. Ballabrera, and J. Verron, 1999: Assimilation of altimetric data in the mid-latitude oceans using the SEEK filter with an eddy-resolving primitive equation model. J. Mar. Syst., 22, 269-294.
11. Cox, H., 1964: On the estimation of state variables and parameters for noisy dynamic systems. IEEE Trans. Automat. Control., 9, 5-12.
12. DeCosmo, J., K. Katsaros, S. Smith, R. Anderson, W. Oost, K. Bumke, and H. Chadwick, 1996: Air-sea exchange of water vapour and sensible heat: The Humidity Exchange Over the Sea (HEXOS) results. J. Geophys. Res., 101 (C5), 12 001-12 016.
13. Dee, D. P., 2005: Bias and data assimilation. Quart. J. Roy. Meteor. Soc., 131, 3323-3343.
14. Dee, D. P., and A. da Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Meteor. Soc., 124, 269-295.
15. Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367.
16. Friehe, C., and K. Schmitt, 1976: Parameterization of air-sea interface fluxes of sensible heat and moisture by the bulk aerodynamic formulas. J. Phys. Oceanogr., 6, 801-809.
17. Heemink, A. W., M. Verlaan, and A. J. Segers, 2001: Variance reduced ensemble Kalman filtering. Mon. Wea. Rev., 129, 1718-1728.
18. Ho, Y., and B. Whalen, 1963: An approach to the identification and control of linear dynamics systems with unknown parameters. IEEE Trans. Automat. Control, 8, 255-256.
19. Large, W., 2006: Surface fluxes for practitioners of global ocean data assimilation. GODAE, An Integrated View of Oceanography: Ocean Weather Forecasting in the 21st Century, J. Verron and E. Chassignet, Eds., Springer, 229-270.
20. Lermusiaux, P. F. J., and A. R. Robinson, 1999: Data assimilation via error subspace statistical estimation. Part I: Theory and schemes. Mon. Wea. Rev., 127, 1385-1407.
21. Ljung, L., 1979: Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems. IEEE Trans. Automat. Control, 24, 36-50.
22. Losa, S. N., G. A. Kivman, J. Schröter, and M. Wenzel, 2003: Sequential weak constraint parameter estimation in an ecosystem model. J. Mar. Syst., 43, 31-49.
23. Madec, G., P. Delecluse, M. Imbard, and C. Levy, 1998: OPA8.1 Ocean General Circulation Model reference manual. Notes du Pôle de Modélisation, Institut Pierre-Simon Laplace Tech. Rep., 91 pp.
24. Menkes, C., J. Boulanger, A. Busalacchi, J. Vialard, P. Delecluse, M. McPhaden, and N. Grima, 1998: Impact of TAO vs. ERS wind stresses onto simulations of the tropical Pacific Ocean during the 1993-1998 period by the OPA OGCM. Climate Impact of Scale Interaction for the Tropical Ocean-Atmosphere System, Euroclivar Workshop Rep., Vol. 13, 46-48.
25. Nelson, L., and E. Stear, 1976: The simultaneous on-line estimation of parameters and states in linear systems. IEEE Trans. Automat. Control, 21, 94-98.
26. Ourmières, Y., J.-M. Brankart, L. Berline, P. Brasseur, and J. Verron, 2006: Incremental analysis update implementation into a sequential ocean data assimilation system. J. Atmos. Oceanic Technol., 23, 1729-1744.
27. Pham, D. T., J. Verron, and M. C. Roubaud, 1998: Singular evolutive extended Kalman filter with EOF initialization for data assimilation in oceanography. J. Mar. Syst., 16, 323-340.
28. Roquet, H., S. Planton, and P. Gaspar, 1993: Determination of ocean surface heat fluxes by a variational method. J. Geophys. Res., 98 (C6), 10 211-10 221.
29. Rozier, D., F. Birol, E. Cosme, P. Brasseur, J.-M. Brankart, and J. Verron, 2007: A reduced-order Kalman filter for data assimilation in physical oceanography. SIAM Rev., 49, 449-465.
30. Smith, S., 1988: Coefficients for sea surface wind stress, heat flux and wind profiles as a function of wind speed and temperature. J. Geophys. Res., 93, 15 467-15 472.
31. Stammer, D., K. Ueyoshi, A. Köhl, W. Large, S. Josey, and C. Wunsch, 2004: Estimating air-sea fluxes of heat, freshwater, and momentum through global ocean data assimilation. J. Geophys. Res., 109, C05023, doi:10.1029/2003JC002082.
32. Testut, C.-E., P. Brasseur, J.-M. Brankart, and J. Verron, 2003: Assimilation of sea-surface temperature and altimetric observations during 1992-1993 into an eddy permitting primitive equation model of the North Atlantic Ocean. J. Mar. Syst., 40-41, 291-316.
33. Verron, J., L. Gourdeau, D. T. Pham, R. Murtugudde, and A. J. Busalacchi, 1999: An extended Kalman filter to assimilate satellite altimeter data into a non-linear numerical model of the tropical Pacific: Method and validation. J. Geophys. Res., 104, 5441-5458.