An inflated ensemble filter for ocean data assimilation with a biased coupled GCM

Monthly Weather Review

Volumn 138, Issue 10, 2010, Pages 3905-3931

  Zhang, S ^a   Rosati, A ^a  

^a PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATLANTIC MERIDIONAL OVERTURNING CIRCULATIONS; ATMOSPHERIC FEEDBACKS; COUPLED GENERAL CIRCULATION MODELS; CURRENT ERROR; DEEP OCEAN; ENSEMBLE FILTER; FORCINGS; HEAT CONTENTS; INDIAN OCEAN; INTERANNUAL VARIABILITY; INTERNAL HEAT; INTRINSIC VARIABILITIES; OCEAN DATA ASSIMILATION; OCEAN TEMPERATURE; SALT TRANSPORT; STANDARD DEVIATION; SUBTROPICAL GYRE; TARGET MODEL; THERMOHALINE STRUCTURES; TROPICAL OCEAN; UPPER OCEAN; VERTICAL MOTIONS; WESTERN BOUNDARY CURRENTS;

DATA PROCESSING; ERRORS; SALINITY MEASUREMENT; TROPICS;

OCEAN CURRENTS;

AIR TEMPERATURE; ALGORITHM; DATA ASSIMILATION; ENSEMBLE FORECASTING; GENERAL CIRCULATION MODEL; MERIDIONAL CIRCULATION; SEA SURFACE SALINITY; UPPER OCEAN; WEATHER FORECASTING;

INDIAN OCEAN;

EID: 77958497926     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3326.1     Document Type: Article

References (47)

1. Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
2. Anderson, J. L., 2003: A local least squares framework for ensemble filtering. Mon. Wea. Rev., 131, 634-642.
3. Anderson, J. L., 2007: An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus, 59A, 210-224.
4. Anderson, J. L., and S. L. Anderson, 1999: A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon. Wea. Rev., 127, 2741-2758.
5. Anderson, J. L., T. Hoar, K. Raeder, N. Collins, R.Torn, and A.F.Arellano, 2009: The data assimilation research testbed: A community data assimilation facility. Bull. Amer. Meteor. Soc., 90, 1283-1296.
6. Balmaseda, M. A., D. Dee, A. Vidard, and D. T. Anderson, 2007: A multivariate treatment of bias for sequential data assimilation: Application to the tropical oceans. Quart. J. Roy. Meteor. Soc., 133, 167-179.
7. Bell, M. J., M. J. Martin, and N. K. Nichols, 2004: Assimilation of data into an ocean model with systematic errors near the equator. Quart. J. Roy. Meteor. Soc., 130, 873-893.
8. Bocaletti, G., R. Ferrari, A. Adcroft, D. Ferreira, and J. Marshall, 2005: The vertical structure of ocean heat transport. Geophys. Res. Lett., 32, L10603, doi:10.1029/2005GL022474.
9. Chen, D., M. A. Cane, S. E. Zebiak, R. Canizares, and A. Kaplan, 2000: Bias correction of an ocean-atmosphere coupled model. Geophys. Res. Lett., 27 (16), 2585-2588.
10. Cherupin, D., J. A. Carton, and D. Dee, 2005: Forecast model bias correction in ocean data assimilation. Mon. Wea. Rev., 133, 1328-1342.
11. Counillon, F., P. Sakov, and L. Bertino, 2009: Application of a hybrid EnKF-OI to ocean forecasting. Ocean Sci., 5, 389-401.
12. Danforth, C. M., and E. Kalnay, 2008: Impact of online empirical model correction on nonlinear error growth. Geophys. Res. Lett., 35, L24805, doi:10.1029/2008GL036239.
13. Dee, D. P., 2005: Bias and data assimilation. Quart. J. Roy. Meteor. Soc., 131, 3323-3343.
14. Dee, D. P., and A. M. D. Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Meteor. Soc., 124, 269-295.
15. Delworth, T. L., and K. Dixon, 2000: Implications of the recent trend in the Arctic-North Atlantic oscillation for the North Atlantic thermohaline circulation. J. Climate, 13, 3721-3727.
16. Delworth, T. L., and R. J. Greatbatch, 2000: Multidecadal thermohaline circulation variability driven by atmospheric surface flux forcing. J. Climate, 13, 1481-1495.
17. Delworth, T. L., and Coauthors, 2006: GFDL CM2 global coupled climate models. Part I: Formulation and simulation characteristics. J. Climate, 19, 643-674.
18. Gerrit, B., M. A. Balmaseda, F. Vossepoel, G. J. Van Oldenborgh, and P. J. Van Leeuwen, 2002: Balanced ocean-data assimilation near the equator. J. Phys. Oceanogr., 32, 2509-2519.
19. GFDL Global Atmospheric Model Development Team, 2004: The new GFDL global atmosphere and land model AM2/LM2: Evaluation with prescribed SST simulations. J. Climate, 17, 4641-4673.
20. Gnanadesikan, A., 1999: A simple predictive model for the structure of the oceanic pycnocline. Science, 283, 2077-2079.
21. Delworth, T. L., and Coauthors, 2006: GFDL CM2 global coupled climate models. Part II: The baseline ocean simulation. J. Climate, 19, 675-697.
22. Griffies, S. M., 2005: Some ocean model fundamentals. Ocean Weather Forecasting: An Integrated View of Oceanography, E. P. Chassignet and J. Verron, Eds., Springer, 19-74.
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, 376 pp.
25. Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 341 pp.
26. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
27. Kepenne, C. L., M. M. Rienecker, N. P. Kurkowski, and D. A. Adamec, 2005: Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction. Nonlinear Processes Geophys., 12, 491-503.
28. Leslie, W. G., A. R. Robinson, P. J. Haley, O. Logoutov, P. Moreno, P. E. J. Lermusiaux, and E. Coehlo, 2008: Verification and training of real-time forecasting of multi-scale ocean dynamics for MREA. J. Mar. Syst., 69, 3-16.
29. Lermusiaux, P. F. J., 2002: On the mapping of multivariate geophysical fields: sensitive to size, scales and dynamics. J. Atmos. Oceanic Technol., 19, 1602-1637.
30. Lermusiaux, P. F. J., 2006: Uncertainty estimation and prediction for interdisciplinary ocean dynamics. J. Comput. Phys., 217, 176-199.
31. Lermusiaux, P. F. J., 2007: Adaptive modeling, adaptive data assimilation and adaptive sampling. Physica D, 230, 172-196.
32. Lin, S.-J., 2004: A "vertically Lagrangian" finite-volume dynamical core for global models. Mon. Wea. Rev., 132, 2293-2307.
33. Mellor, G., C. R. Mechoso, and E. Keto, 1982: A diagnostic calculation of the general circulation of the Atlantic Ocean. Deep-Sea Res., 29, 1171-1192.
34. Myers, P. G., A. F. Fanning, and A. J. Weaver, 1996: JEBAR, bottom pressure torque, and Gulf Stream separation. J. Phys. Oceanogr., 26, 671-683.
35. Park, Y.-G., and K. Bryan, 2000: Comparison of thermally driven circulations from a depth-coordinate model and an isopycnallayer model. Part I: Scaling-law sensitivity to vertical diffusivity. J. Phys. Oceanogr., 30, 590-605.
36. Randall, D. A., and Coauthors, 2007: Climate models and their evaluation. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 589-662.
37. Sarkisyan, A. S., and V. F. Ivanov, 1971: Joint effect of baroclinicity and bottom relief as an important factor in the dynamics of sea currents. Izv. Atmos. Ocean Phys., 7 (2), 172-188.
38. Stouffer, R. J., A. Weaver, and M. Eby, 2004: A method for obtaining pretwentieth century initial conditions for use in climate change studies. Climate Dyn., 23, 327-339.
39. Uzunoglu, B., S. J. Fletcher, M. Zupanski, and I. M. Navon, 2007: Adaptive ensemble reduction and inflation. Quart. J. Roy. Meteor. Soc., 133, 1281-1294.
40. Winton, M., 2000: A reformulated three-layer sea ice model. J. Atmos. Oceanic Technol., 17, 525-531.
41. Wittenberg, A. T., A. Rosati, N.-G. Lau, and J. J. Ploshay, 2006: GFDL's CM2 global coupled climate models. Part III: Tropical Pacific climate and ENSO. J. Climate, 19, 675-697.
42. Wyman, B. L., 1996: A step-mountain coordinate general circulation model: Description and validation of medium-range forecasts. Mon. Wea. Rev., 124, 102-121.
43. Zhang, S., and J. L. Anderson, 2003: Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model. Tellus, 55A, 126-147.
44. Zhang, S., M. J. Harrison, A. T. Wittenberg, and A. Rosati, 2005: Initialization of an ENSO forecast system using a parallelized ensemble filter. Mon. Wea. Rev., 133, 3176-3201.
45. Zhang, S., M. J. Harrison, A. Rosati, and A. T. Wittenberg, 2007: System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies. Mon. Wea. Rev., 135, 3541-3564.
46. Zhang, S., A. Rosati, M. Harrison, R. Gudgel, and W. Stern, 2008: GFDL's coupled ensemble data assimilation system, 1980-2006: Coupled reanalysis and its impact on ENSO forecasts. Preprints, Third WCRP Int. Conf. on Reanalysis, Tokyo, Japan, WCRP, 1-3.
47. Zhang, S., A. Rosati, and M. J. Harrison, 2009: Detection of multi-decadal oceanic variability by ocean data assimilation in the context of a "perfect" coupled model. J. Geophys. Res., 114, C12018, doi:10.1029/2008JC005261.