Representation error of oceanic observations for data assimilation

Journal of Atmospheric and Oceanic Technology

Volumn 25, Issue 6, 2008, Pages 1004-1017

  Oke, Peter R ^a   Sakov, Pavel ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

FINANCIAL DATA PROCESSING; OCEAN CURRENTS; OCEANOGRAPHY; SEA LEVEL;

HIGH RESOLUTIONS; MODEL RESOLUTION; SEA LEVEL ANOMALIES; SPATIAL VARIABILITY;

ERROR ANALYSIS;

DATA ASSIMILATION; ERROR ANALYSIS; MESOSCALE MOTION; SEA LEVEL; SEA SURFACE SALINITY; SEA SURFACE TEMPERATURE; SPATIAL VARIATION;

EID: 51749115951     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JTECHO558.1     Document Type: Article

References (39)

1. Anderson, J. L., B. Wyman, S. Zhang, and T. Hoar, 2005: Assimilation of surface pressure observations using an ensemble filter in an idealized global atmospheric prediction system. J. Atmos. Sci., 62, 2921-2938.
2. Barron, C. N., A. B. Kara, P. J. Martin, R. C. Rhodes, and L. F. Smedstad, 2006: Formulation, implementation and examination of vertical coordinate choices in the Global Navy Coastal Ocean Model (NCOM). Ocean Modell., 11, 347-375.
3. Bishop, C. H., B. J. Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theorefical aspects. Mon. Wea. Rev., 129, 420-436.
4. Brasseur, P., and Coauthors, 2005: Data assimilation for marine monitoring and prediction: The MERCATOR operational systems and the MERSEA developments. Quart. J. Roy. Meteor. Soc., 131, 3561-3582.
5. Brassington, G. B., T. Pugh, C. Spillman, E. Schulz, H. Beggs, A. Schiller, and P. R. Oke, 2007: BLUElink: Development of operational oceanography and servicing in Australia. J. Res. Pract. Inf. Tech., 39, 151-164.
6. Cooper, M., and K. Haines, 1996: Altimetric assimilation with water property conservation. J. Geophys. Res., 101, 1059-1077.
7. Cummings, J. A., 2005: Operational multivariate ocean data assimilation. Quart. J. Roy. Meteor. Soc., 131, 3583-3604.
8. Daley, R., 1992: Estimating model-error covariances for application to atmospheric data assimilation. Mon. Wea. Rev., 120, 1735-1746.
9. Daley, R., 1993: Estimating observation error statistics for atmospheric data assimilation. Ann. Geophys. Atmos. Hydro. Space Sci., 11, 634-647.
10. Derber, J., and A. Rosati, 1989: A global oceanic data assimilation system. J. Phys. Oceanogr., 19, 1333-1347.
11. Desroziers, G., A. Brachemi, and B. Hamadache, 2001: Estimation of the representativeness error caused by the incremental formulation of variational data assimilation. Quart. J. Roy. Meteor. Soc., 127, 1775-1794.
12. Ducet, N., P.-Y. Le Traon, and G. Reverdin, 2000: Global high-resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2. J. Geophys. Res., 105, 19 477-19 498.
13. Etherton, B. J., and C. H. Bishop, 2004: Resilience of hybrid ensemble/ 3DVAR analysis schemes to model error and ensemble covariance error. Mon. Wea. Rev., 132, 1065-1080.
14. Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367.
15. Fox, A. D., K. Haines, B. A. deCuevas, and D. J. Webb, 2000: Altimeter assimilation in the OCCAM global model. Part I: A twin experiment. J. Mar. Syst., 26, 303-322.
16. Houtekamer, P. L., and H. L. Mitchell, 2005: Ensemble Kalman filtering. Quart. J. Roy. Meteor. Soc., 131, 3269-3289.
17. Janic, T., and S. E. Cohn, 2006: Treatment of observation error due to unresolved scales in atmospheric data assimilation. Mon. Wea. Rev., 134, 2900-2915.
18. Kohl, A., D. Dommenget, K. Ueyoshi, and D. Stammer, 2007: The global ECCO 1952-2001 ocean synthesis. The ECCO Rep. Series 40, 43 pp.
19. Leeuwenburgh, O., 2007: Validation of an EnKF system for OGCM initialization assimilating temperature, salinity, and surface height measurements. Mon. Wea. Rev., 135, 125-139.
20. Levitus, S., and T. P Boyer, 1994: Temperature. Vol. 4, World Ocean Atlas 1994, NOAA Atlas NESDIS 4, 117 pp.
21. Liu, Z.-Q., and F. Rabier, 2002: The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study. Quart. J. Roy. Meteor. Soc., 128, 1367-1386.
22. Lorenc, A. C., 1986: Analysis methods for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 112, 1177-1194.
23. Mitchell, H. L., and R. Daley, 1997: Discretization error and signal/ error correlation in atmospheric data assimilation. Tellus, 49A, 54-73.
24. Mitchell, H. L., and P. L. Houtekamer, 2000: An adaptive ensemble Kalman filter. Mon. Wea. Rev., 128, 416-433.
25. Ngodock, H. E., G. A. Jacobs, and M. Chen, 2006: The representer method, the ensemble Kalman filter and the ensemble Katman smoother: A comparison study using a nonlinear reduced gravity ocean model. Ocean Modell., 12, 378-400.
26. Oke, P. R., and A. Schiller, 2007: Impact of Argo, SST, and altimeter data on an eddy-resolving ocean reanalysis. Geophys. Res. Lett., 34., L19601, doi:10.1029/2007GL031549.
27. Oke, P. R., A. Schiller, D. A. Griffin, and G. B. Brassington, 2005: Ensemble data assimilation for an eddy-resolving ocean model of the Australian Region. Quart. J. Roy. Meteor. Soc., 131, 3301-3311.
28. Oke, P. R., G. B. Brassington, D. A. Griffin, and A. Schiller, 2008: The Bluelink Ocean Data Assimilation System (BODAS). Ocean Modell., 21, 46-70.
29. Pascual, A., Y. Faugère, G. Larnicol, and P.-Y. Le Traon, 2006: Improved description of the ocean mesoscale variability by combining four satellite altimeters. Geophys. Res. Lett., 33, L02611, doi:10.1029/2005GL024633.
30. Perez-Brunius, P., T. Rossby, and D. R. Watts, 2004: A method for obtaining the mean transports of ocean currents by combining isopycnal float data with historical hydrography. J. Atmos. Oceanic Technol., 21, 298-316.
31. Ponte, R. M., C. Wunsch, and U. Stammer, 2007: Spatial mapping of time-variable errors in Jason-I and TOPEX/Poseidon sea surface height measurements. J. Atmos. Oceanic Technol., 24, 1078-1085.
32. Richman, J. G., R. N. Miller, and Y. H. Spitz, 2005: Error estimates for assimilation of satellite sea surface temperature data into ocean climate models. Geophys. Res. Lett., 32, L18608, doi:10.1029/2005GL023591.
33. Ridgway, K. R., J. R. Dunn, and J. L. Wilkin, 2002: Ocean interpolation by four-dimensional weighted least squares - Application to the waters around Australasia. J. Atmos. Oceanic Technol., 19, 1357-1375.
34. Rogel, P., A. T. Weaver, N. Daget, S. Ricci, and E. Machu, 2005: Ensembles of global ocean analyses for seasonal prediction: Impact of temperature assimilation. Tellus, 57A, 375-386.
35. Schiller, A., P. R. Oke, G. B. Brassington, M. Entel, R. Fiedler, D. A. Griffin, and J. V. Mansbridge, 2008: Eddy-resolving ocean circulation in the Asian-Australian region inferred from an ocean reanalysis effort. Prog. Oceanogr., 76, 334-365.
36. Stammer, D., and Coauthors, 2002: Global ocean circulation during 1992-1997, estimated from ocean observations and a general circulation model. J. Geophys. Res., 107, 3118, doi:10.1029/ 2001JC000888.
37. Thacker, W C 2003: Data-model-error compatibility. Ocean Modell., 5, 233-247.
38. Troccoli, A., and K. Haines, 1999: Use of the temperature-salinity relation in a data assimilation context. J. Atmos. Oceanic Technol., 16, 2011-2025.
39. Zaron, E. D., and G. D. Egbert, 2006: Estimating open-ocean barotropic tidal dissipation: The Hawaiian Ridge. J. Phys. Oceanogr., 36, 1019-1035.