Ensemble optimal interpolation schemes for assimilating Argo profiles into a hybrid coordinate ocean model

Ocean Modelling

Volumn 33, Issue 3-4, 2010, Pages 283-298

  Xie, Jiping ^a   Zhu, Jiang ^a  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

Argo profile; Data assimilation; Ensemble optimal interpolation; HYCOM

Indexed keywords

ARGO FLOAT; HYBRID COORDINATE OCEAN MODELS; LAYER THICKNESS; MODEL VARIABLES; MODIFIED SCHEME; OPTIMAL INTERPOLATION; PROFILE DATA; PROFILE OBSERVATIONS; SALINITY FIELDS; VELOCITY FIELD; VERTICAL LOCALIZATION;

DATA PROCESSING; EXPERIMENTS; INTERPOLATION; OCEANOGRAPHY; OPTIMIZATION; SALINITY MEASUREMENT; SEAWATER;

HYDROGRAPHIC SURVEYS;

COORDINATE; DATA ASSIMILATION; ENSEMBLE FORECASTING; INTERPOLATION; MODEL VALIDATION; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; PROFILER;

EID: 77952957150     PISSN: 14635003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocemod.2010.03.002     Document Type: Article

References (64)

1. Akitomo K., Masuda S., Awaji T. Kuroshio path variation south of Japan: stability of the paths in a multiple equilibrium regime. J. Oceanogr. 1997, 53:129-142.
2. Balmaseda M.A., Dee D., Vidard A., Anderson D.L.T. A multivariate treatment of bias for sequential data assimilation: application to the tropical oceans. Q. J. Roy. Met. Soc. 2007, 133:167-179.
3. Bell M.J., Martin M.J., Nichols N.K. Assimilation of data into an ocean model with systematic errors near the equator. Q. J. R. Meteorol. Soc. 2004, 130:873-893.
4. Bentsen M., Evensen G., Drange H., Jenkins A.D. Coordinate transform on a sphere using conformal mapping. Mon. Weath. Rev. 1999, 127:2733-2740.
5. Bertino, L., Evensen, G., 2002. The DIADEM/TOPAZ monitoring and prediction system for the North Atlantic. In: Proceedings of the Third International Conference on EuroGOOS, 3-6 December 2002, Athens, Greece.
6. Bertino L., Evensen G., Wackernagel H. Sequential data assimilation techniques in oceanography. Int. Stat. Rev. 2003, 71(1):223-242.
7. Bleck R. An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. Ocean Modell. 2002, 4:55-88.
8. Bleck, R., Chassignet, E.P., 1994. Simulating the oceanic circulation with isopycnic coordinate models. In: Majundar, S.K., Mill, E.W., Forbes, G.S., Schmalz, R.E., Panah, A.A. (Eds.), The Oceans: Physical-Chemical Dynamics and Human Impact, The Pennsylvania Academy of Science, pp. 17-39.
9. Bleck R., Smith L.T. A wind-driven isopycnic coordinate model of the north and equatorial Atlantic Ocean. 1. Model development and supporting experiments. J. Geophys. Res. 1990, 95(C):3273-3285.
10. Bouttier, F., Courtier, P., 1999. Data assimilation concepts and methods. Meteorological Training Course Lecture Series, ECMWF, 2002. Available from: ). http://www.ecmwf.int/newsevents/training/rcourse_notes/DATA_ASSIMILATION/ASSIM_ONCEPTS/Assim_concepts.html.
11. Brydon D., Sun S., Bleck R. A new approximation of the equation of state for sea water, suitable for numerical ocean models. J. Geophys. Res. 1999, 104:1537-1540.
12. Chassignet E.P., Hurlburt H.E., Smedstad O.M., Halliwell G.R., Hogan P.J., Wallcraft A.J., Bleck R. Ocean prediction with the Hybrid Coordinate Ocean Model (HYCOM). Ocean Weather Forecasting: An Integrated View of Oceanography 2006, 413-426. Springer, USA. E.P. Chassignet, J. Verron (Eds.).
13. Chassignet E.P., Hurlburt H.E., Smedstad O.M., Halliwell G.R., Hogan P.J., Wallcraft A.J., Baraille R., Bleck R. The HYCOM (Hybrid Coordinate Ocean Model) data assimilative system. J. Marine. Syst. 2007, 65:60-83.
14. Chassignet E.P., Smith L.T., Halliwell G.R., Bleck R. North Atlantic simulations with the Hybrid Coordinate Ocean Model (HYCOM): Impact of the vertical coordinate choice, reference pressure, and thermobaricity. J. Phys. Oceanogr. 2003, 33:2504-2526.
15. Conkright, M.E., Locarnini, R.A., Garcia, H.E., O'Brien, T.D., Boyer, T.P., Stephers, C., Antonov, J.I., 2002. World Ocean Atlas 2001: Objective Analyses, Data Statistics, and Figures, CD-ROM Documentation. National Oceanographic Data Center, Silver Spring, MD, 17pp.
16. Counillon F., Bertino L. Ensemble optimal interpolation: multivariate properties in the Gulf of Mexico. Tellus 2009, 61A:296-308.
17. Cummings J.A. Operational multivariate ocean data assimilation. Q. J. Roy. Met. Soc. 2005, 131:3583-3604.
18. Evensen G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Montecarlo methods to forecast error statistics. J. Geophys. Res. 1994, 99:10143-10162.
19. Evensen G. The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dyn. 2003, 53:343-367.
20. Evensen G. Sampling strategies and square root analysis schemes for the EnKF. Ocean Dyn. 2004, 54:539-560.
21. Fox D.N., Barron C.N., Carnes M.R., Peggion G., Van Gurley J. The modular ocean data assimilation system. Oceanography 2002, 15:22-28.
22. Fu W.W., Zhu J., Yan C.X. A comparison between 3DVAR and EnOI techniques for Satellite altimetry data assimilation. Ocean Modell. 2009, 26:206-216.
23. Gaspari G., Cohn S.E. Construction of correlation functions in two and three dimensions. Q. J. Roy. Met. Soc. 1999, 125:723-757.
24. Griffies S.M., Böning C., Bryan F.O., Chassignet E.P., Gerdes R., Hasumi H., Hirst A., Treguier A.-M., Webb D. Developments in ocean climate modeling. Ocean modell. 2000, 2:123-192.
25. Hamill T.M., Whitaker J.S., Snyder C. Distance-dependent filtering of background error covariances in an ensemble Kalman Filter. Mon. Weath. Rev. 2001, 129:2776-2790.
26. Houtekamer P.L., Mitchell H.L. A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Weath. Rev. 2001, 129:123-137.
27. Hunt B.R., Kostelich E.J., Szunyogh I. Efficient data assimilation for spatiotemporal chaos: a local ensemble transform kalman filter. Physica D 2007, 230:112-126.
28. Kara A.B., Wallcraft A.J., Martin P.J., Chassignet E.P. Performance of mixed layer models in simulating SST in the Equatorial Pacific Ocean. J. Geophys. Res. 2008, 113:C02020. 10.1029/2007JC004250.
29. Kawabe M. Sea level variations at the Izu Islands and typical stable paths of the Kuroshio. J. Oceanogr. Soc. Japan 1985, 41:505-578.
30. Large W.G., McWilliams J.C., Doney S.C. Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization. Rev. Geophys. 1994, 32:363-403.
31. Legates D.R., Willmott C.J. Mean seasonal and spatial variability in gauge-corrected, global precipitation. Int. J. Climatol. 1990, 10:111-127.
32. Levitus, S., Burgett, R., Boyer, T., 1994a. World Ocean Atlas 1994, vol. 3, Salinity, U.S. Dep. of Commer., Washtiongton, DC, 1994.
33. Levitus, S., Burgett, R., Boyer, T., 1994b. World Ocean Atlas 1994, vol. 4, Temperature, U.S. Dep. of Commer., Washington, DC, 1994.
34. Lisæter K.A., Rosanova J., Evensen G. Assimilation of ice concentration in a coupled ice-ocean model, using the Ensemble Kalman Filter. Ocean Dyn. 2003, 53(4):368-388.
35. Lisæter K.A., Evensen G., Laxon S. Assimilating synthetic CryoSat sea ice thickness in a coupled ice-ocean model. J. Geophys. Res. 2007, 112(C07023).
36. Modern Approaches to Data Assimilation in Ocean Modeling 1996, Elsevier, Amsterdam. P. Malanotte-Rizzoli (Ed.).
37. Martin M.J., Hines A., Bell M.J. Data assimilation in the FOAM operational short-range ocean forecasting system: a description of the scheme and its impact. Q. J. Roy. Met. Soc. 2007, 133:981-995.
38. McPhaden M.J., Busalacchi A.J., Cheney R., et al. The tropical ocean-global atmosphere observing system: a decade of progress. J. Geophys. Res. 1998, 103:14169-14240.
39. Mitchell M.J., Houtekamer P.L., Pellerin G. Ensemble size, balance, and model-error representation in an ensemble Kalman filter. Mon. Weath. Rev. 2002, 130:2791-2808.
40. Mitsudera H., Taguchi B., Waseda T., Yoshikawa Y. Blocking of the Kuroshio large meander by baroclinic interaction with the Izu ridge. J. Phys. Oceanogr. 2006, 36:2042-2059.
41. Miyazawa Y., Guo Y., Yamagata T. Roles of mesoscale eddies in the Kuroshio paths. J. Phys. Oceanogr. 2004, 34:2203-2222.
42. Oke P.R., Allen J.S., Miller R.N., Egbert G.D., Kosro P.M. Assimilation of surface velocity data into a primitive equation coastal ocean model. J. Geophys. Res. 2002, 107:3122. 10.1029/2000JC000511.
43. Oke P.R., Brassington G.B., Griffin D.A., Schiller A. The Bluelink ocean data assimilation system (BODAS). Ocean Modell. 2008, 21:46-70.
44. Oke P.R., Sakov P., Corney S.P. Impacts of localization in the EnKF and EnOI: experiments with a small model. Ocean Dyn. 2007, 57:32-45.
45. Oke P.R., Schiller A., Griffin D.A., Brassington G.B. Ensemble data assimilation for an eddy-resolving ocean model of the Australia Region. Q. J. Roy. Met. Soc. 2005, 131:3301-3311.
46. Ott E., Hunt B.R., Szunyogh I., Zimin A.V., Kostelich E.J., Corazza M., Kalnay E., Patil D.J., Yorke J.A. A local ensemble Kalman filter for atmospheric data assimilation. Tellus 2004, 56A:415-428.
47. Parker D.E., Jackson M. Marine surface temperature: observed variations and data requirements. Climatic Change 1995, 31:559-600.
48. Qiu B. The Kuroshio extension system: its large-scale variability and role in the midlatitude ocean-atmosphere interaction. J. Oceanogr. 2002, 58:57-75.
49. Qiu B. Kuroshio extension variability and forcing of the Pacific decadal oscillations: responses and potential feedback. J. Phys. Oceanogr. 2003, 33:2465-2482.
50. Qiu, B., Miao, W., 2000. Kuroshio path variations south of Japan: Bimodality as a self-sustained internal oscillation.
51. Shaji C., Wang C., Halliwell J., Wallcraft A. Simulation of tropical Pacific and Atlantic Oceans using a hybrid coordinate ocean model. Ocean Modell. 2005, 9:253-282.
52. Slutz, R., Hiscox, S.L.J., Woodruff, S., Jenne, R., Joseph, D., Steurer, P., Elms, J. 1985. Comprehensive ocean-atmosphere dataset: release 1. Technical Report NTIS PB86-105723, NOAA Environmental Research Laboratories, Climate Research Program, Boulder, CO.
53. Stammer D., Wunsch C., Giering R., Eckert C., Heimbach P., Marotzke J., Adcroft A., Hill C.N., Marshall J. Global ocean circulation during 1992-1997, estimated from ocean observations and a general circulation model. J. Geophys. Res. 2002, 107:3118. 10.1029/2001JC000888.
54. Teague W.J., Carron M.J., Hogan M.J. A comparison between the generalized digital environmental model and Levitus climatologies. J. Geophy. Res. 1990, 95:7167-7183.
55. Thacker W.C. Data assimilation with inequality constraints. Ocean Modell. 2007, 16:265-276.
56. Thacker W.C., Esenkov O.E. Assimilating XBT data into HYCOM. J. Atmos. Ocean. Technol. 2002, 19:709-724.
57. Thacker W.C., Lee S., Halliwell G.R. Assimilating 20 years of Atlantic XBT data into HYCOM: a first look. Ocean Modell. 2004, 7(1-2):183-210.
58. Thacker W.C., Long R.B. Fitting dynamics to data. J. Geophys. Res. 1988, 93:1227-1240.
59. Tsujino H., Usui N., Nakano H. Dynamics of Kuroshio path variations in a high-resolution general circulation model. J. Geophy. Res. 2006, 111:C11001. 10.1029/2005JC003118.
60. Wan L., Zhu J., Bertino L. Initial ensemble generation and validation for ocean data assimilation using HYCOM in the Pacific. Ocean Dyn. 2008, 58:81-99.
61. White W.B., He Y. Interannual variability in the heat content of the Kuroshio extension associated with the 1982 ENSO event. J. Phys. Oceanogr. 1986, 16:309-321.
62. Winther N.G., Evensen G. A hybrid coordinate ocean model for shelf sea simulation. Ocean Modell. 2006, 13:221-237.
63. Wunsch C., Stammer D. The global frequency-wavenumber spectrum of oceanic variability estimated from TOPEX/POSEIDON altimetric measurements. J. Geophy. Res. 1995, 100(C12):24895-24910.
64. Xie J., Zhu J. A dataset of global ocean surface currents for 1999-2007 derived from Argo float trajectories: Comparison with surface drifter and TAO measurements. Atmos. Ocean. Sci. Lett. 2009, 2:97-102.