Brankart, J.-M., Cosme, E., Testut, C.-E., Brasseur, P., and Verron, J.: Efficient local error parameterization for square root or ensemble Kalman filters: application to a basin-scale ocean turbulent flow, Mon. Weather Rev., 139, 474–493, 2011.
Brankart, J.-M., Testut, C.-E., Béal, D., Doron, M., Fontana, C., Meinvielle, M., Brasseur, P., and Verron, J.: Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations, Ocean Sci., 8, 121–142, https://doi.org/10.5194/os-8-121-2012, 2012.
Brasseur, P. and Verron, J.: The SEEK filter method for data assimilation in oceanography: a synthesis, Ocean Dynam., 56, 650–661, 2006.
Brusdal K., Brankart, J.-M., Halberstadt, G., Evensen, G., Brasseur, P., van Leeuwen, P. J., Dombrowsky, E., and Verron, J.: A demonstration of ensemble-based assimilation methods with a layered OGCM from the perspective of operational ocean forecasting systems, J. Mar. Syst., 40, 253–289, 2003.
Candille, G., Côté, C., Houtekamer, P. L., and Pellerin, G.: Verification of an ensemble prediction system against observations, Mon. Weather Rev., 135, 2688–2699, 2007.
Dee, D. P.: On-line estimation of error covariance parameters for atmospheric data assimilation, Mon. Weather Rev., 123, 1128–1145, 1995.
Evensen, G.: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte-Carlo methods to forecast error statistics, J. Geophys. Res., 99, 10143–10162, 1994.
Evensen, G.: The Ensemble Kalman filter: theoretical formulation and practical implementation, Ocean Dynam., 53, 343–367, 2003.
Ferry, N., Parent, L., Garric, G., Bricaud, C., Testut, C.-E., Le Galloudec, O., Lellouche, J.-M., Drevillon, M., Greiner, E., Barnier, B., Molines, J.-M., Jourdain, N. C., Guinehut, S., Cabanes, C., and Zawadzki, L.: GLORYS2V1 global ocean reanalysis of the altimetric era (1992–2009) at meso scale, Mercator Quarterly Newsletter, 44, 29–39, 2012.
Haines, K.: Ocean data assimilation, in: Data assimilation: Making sense of observations, edited by: Lahoz, W., Khattatov, B., and Menard, R., Springer-Verlag, Berlin Heidelberg, 517–548, 2010.
Hamill, T. M. and Juras, J.: Measuring forecast skill: is it real skill or is it the varying climatology?, Q. J. Roy. Meteor. Soc., 132, 2905–2923, 2006.
Hersbach, H.: Decomposition of the continuous ranked probability score for ensemble prediction systems, Wea. Forecasting, 15, 559–570, 2000.
Ingleby, B. and Huddleston, M.: Quality control of ocean temperature and salinity profiles: historical and real-time data, J. Marine Syst., 67, 158–175, 2007.
Kalnay, E.: Ensemble Kalman filter: current status and potential, in: Data assimilation: Making sense of observations, edited by: Lahoz, W., Khattatov, B., and Menard, R., Springer-Verlag, Berlin Heidelberg, 69–92, 2010.
Lea, D., Martin, M., Mogensen, K., Vidard, A., and Weaver, A.: Observation and Model Comparison in NEMO Ocean Engine v3.4. Note du Pôle de modélisation de l'Institut Pierre-Simon Laplace, 27, Chapter 12, 2012.
Levitus, S., Boyer, T. P., Conkright, M. E., O'Brian, T., Antonov, J., Stephens, C., Stathopolos, L., Johnson, D., and Gelfeld, R.: World Ocean Database 1998. NOAA Atlas NESDID 18, US Government Printing Office, Washington DC, 1998.
Nichols, N. K.: Mathematical concepts of data assimilation, in: Data assimilation: Making sense of observations, edited by: Lahoz, W., Khattatov, B., and Menard, R., Springer-Verlag, Berlin Heidelberg, 13–39, 2010.
Ourmières, Y., Brankart, J.-M., Berline, L., Brasseur, P., and Verron, J.: Incremental analysis update implementation into a sequential ocean data assimilation system, J. Atmos. Ocean. Tech., 23, 1729–1744, 2006.
Palmer, T. N., Shutts, G. J., Hagedorn, R., Doblas-Reyes, F. J., Jung, T., and Leutbecher, M.: Representing model uncertainty in weather and climate prediction, Annu. Rev. Earth Pl. Sc., 33, 163–193, 2005.
Sakov, P., Counillon, F., Bertino, L., Lisæter, K. A., Oke, P. R., and Korablev, A.: TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic, Ocean Sci., 8, 633–656, https://doi.org/10.5194/os-8-633-2012, 2012.
Stanski, H. R., Wilson, L. J., and Burrows, W. R.: Survey of common verification in meteorology, World Weather Watch Report No. 8, TD No. 358, World Meteorological Organization, Geneva, Switzerland, 114 pp., 1989.
Talagrand, O.: Variational assimilation, in: Data Assimilation: Making Sense of Observations, edited by: Lahoz, W., Khattatov, B., and Menard, R., Springer-Verlag, Berlin Heidelberg, 41–67, 2010.
Testut, C.-E., Brasseur, P., Brankart, J.-M., and Verron, J.: Assimilation of sea-surface temperature and altimetric observations during 1992–1993 into an eddy permitting primitive equation model of the North Atlantic Ocean, J. Marine Syst., 40–41, 291–316, 2003.
Toth, Z., Talagrand, O., Candille, G., and Zhu, Y.: Probability and ensemble forecasts, in: Forecast Verification: a Practitioner's Guide in Atmospheric Science, edited by: Jolliffe, I. and Stephenson, D. B., Wiley, UK, 137–163, 2003.
Uppala, S. M., Kållberg, P. W., and Simmons, A. J., et al.: The ERA-40 re-analysis, Q. J. Roy. Meteor. Soc., 131, 2961–3012, 2005.
Verron, J., Gourdeau, L., Pham, D. T., Murtugudde, R., and Busalacchi, A.: 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, 1999.
Yan, Y., Barth, A., Beckers, J.-M., Candille, G., Brankart, J.-M., and Brasseur, P.: Ensemble assimilation of ARGO temperature profile, sea surface temperature and altimetric satellite data into an eddy permitting primitive equation model of the North Atlantic Ocean, J. Geophys. Res.-Oceans, under review, 2015.
