Brankart, J.-M., Testut, C., 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, 2147–2195, https://doi.org/10.5194/osd-8-2147-2011, 2012.
Brasseur, P. and Verron, J.: The SEEK filter method for data assimilation in oceanography: a synthesis, Ocean Dynam., 56, 650–661, 2006.
Brasseur, P., Ballabrera-Poy, J., and Verron, J.: Assimilation of altimetric data in the mid-latitude oceans using the Singular Evolutive Extended Kalman filter with an eddy-resolving, primitive equation model, J. Mar. Syst., 22, 269–294, https://doi.org/10.1016/S0924-7963(99)00044-5, 1999.
Béal, D., Brasseur, P., Brankart, J.-M., Ourmières, Y., and Verron, J.: Characterization of mixing errors in a coupled physical biogeochemical model of the North Atlantic: implications for nonlinear estimation using Gaussian anamorphosis, Ocean Sci., 6, 247–262, https://doi.org/10.5194/os-6-247-2010, 2010.
Carmillet, V., Brankart, J.-M., Brasseur, P., Drange, H., Evensen, G., and Verron, J.: A singular evolutive extended Kalman filter to assimilate ocean color data in a coupled physical-biochemical model of the North Atlantic ocean, Ocean Model., 3, 167–192, https://doi.org/10.1016/S1463-5003(01)00007-5, 2001.
Ciavatta, S., Torres, R., Saux-Picart, S. and Allen, J. I.: Can ocean color assimilation improve biogeochemical hindcasts in shelf seas? J. Geophys. Res., 116, C12043, https://doi.org/10.1029/2011JC007219, 2011.
Claustre, H., Morel, A., Hooker, S. B., Babin, M., Antoine, D., Oubelkheir, K., Bricaud, A., Leblanc, K., Quéguiner, B., and Maritorena, S.: Is desert dust making oligotrophic waters greener?, Geophys. Res. Lett., 29, 1469, https://doi.org/10.1029/2001GL014056, 2002.
Claustre, H., Antoine, D., Boehme, L., Boss, E., D'Ortenzio, F., Fanton D'Andon, O., Guinet, C., Gruber, N., Handegard, N. O., Hood, M., Johnson, K., Lampitt, R., LeTraon, P.-Y., Lequéré, C., Lewis, M., Perry, M.-J., Platt, T., Roemmich, D., Testor, P., Sathyendranath, S., Send, U., and Yoder, J.: Guidelines Towards an Integrated Ocean Observation System for Ecosystems and Biogeochemical Cycles, In Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 1), Venice, Italy, 21–25 September 2009, edited by: Hall, J., Harrison, D. E., and Stammer, D., ESA Publication WPP-306, https://doi.org/10.5270/OceanObs09.pp.14, 2010a.
Claustre, H., Bishop, J., Boss, E., Stewart, B., Berthon, J.-F., Coatanoan, C., Johnson, K., Lotiker, A., Ulloa, O., Perry, M.-J., D'Ortenzio, F., Hembise Fanton D'Andon, O., and Uitz, J.: Bio-Optical Profiling Floats as New Observational Tools for Biogeochemical and Ecosystem Studies: Potential Synergies with Ocean Color Remote Sensing, In Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 2), Venice, Italy, 21–25 September 2009, edited by: Hall, J., Harrison, D. E., and Stammer, D., ESA Publication WPP-306, https://doi.org/10.5270/OceanObs09.cwp.17, 2010b.
Cummings, J., Bertino, L., Brasseur, P., Fukumori, I., Kamachi, M., Martin, M., Mogensen, K., Oke, P., Testut, C., Verron, J., and Weaver, A.: Ocean data assimilation systems for GODAE, Oceanography, 22, 96–109, https://doi.org/10.5670/oceanog.2009.69, 2009.
Demarcq, H.: Spatial and temporal dynamics of the upwelling off Senegal and Mauritania: local change and trend, Global versus local changes in upwelling systems, Orstom ed. Paris, 149–166, 1998.
Doney, S. C.: Major challenges confronting marine biogeochemical modeling, Global Biogeochem. Cy., 13, 705–714, 1999.
Doron, M., Brasseur, P., and Brankart, J.-M.: Stochastic estimation of biogeochemical parameters of a 3D ocean coupled physical-biogeochemical model: Twin experiments, J. Mar. Syst., 87, 194–207, https://doi.org/10.1016/j.jmarsys.2011.04.001, 2011.
Feldman, G. and McClain, C.: Ocean Color Web, SeaWiFS Reprocessing 2009.1, NASA Goddard Space Flight Center, edited by: Kuring, N. and Bailey, S. W., http://oceancolor.gsfc.nasa.gov/, 2010.
Fontana, C., Grenz, C., Pinazo, C., Marsaleix, P., and Diaz, F.: Assimilation of SeaWiFS chlorophyll data into a 3D-coupled physical-biogeochemical model applied to a freshwater-influenced coastal zone, Cont. Shelf Res., 29, 1397–1409, https://doi.org/10.1016/j.csr.2009.03.005, 2009.
Fontana, C., Grenz, C., and Pinazo, C.: Sequential assimilation of a year-long time-series of SeaWiFS chlorophyll data into a 3D biogeochemical model on the French Mediterranean coast, Cont. Shelf Res., 30, 1761–1771, https://doi.org/10.1016/j.csr.2010.08.003, 2010.
Ford, D. A., Edwards, K. P., Lea, D., Barciela, R. M., Martin, M. J., and Demaria, J.: Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model, Ocean Sci. Discuss., 9, 687–744, https://doi.org/10.5194/osd-9-687-2012, 2012.
Fukumori, I.: Assimilation of TOPEX sea level measurements with a reduced-gravity, shallow water model of the tropical Pacific Ocean, J. Geophys. Res., 100, 25027–25039, 1995.
Garcia, H. E., Locarnini, R. A., Boyer, T. P., Antonov, J. I., Zweng, M. M., Baranova, O. K., and Johnson, D. R.: World Ocean Atlas 2009, Volume 4: Nutrients (phosphate, nitrate, silicate), edited by: Levitus, S., NOAA Atlas NESDIS 71, U.S. Government Printing Office, Washington, D.C., 398 pp, 2010.
Gregg, W. W.: Assimilation of SeaWiFS ocean chlorophyll data into a three-dimensional global ocean model, J. Mar. Syst., 69, 205–225, https://doi.org/10.1016/j.jmarsys.2006.02.015, 2008.
Gregg, W. W. and Casey, N. W.: Global and regional evaluation of the SeaWiFS chlorophyll data set, Remote Sens. Environ., 93, 463–479, https://doi.org/10.1016/j.rse.2003.12.012, 2004.
Gregg, W. W., Friedrichs, M. A., Robinson, A. R., Rose, K. A., Schlitzer, R., Thompson, K. R., and Doney, S. C.: Skill assessment in ocean biological data assimilation, J. Mar. Syst., 76, 16–33, https://doi.org/10.1016/j.jmarsys.2008.05.006, 2009.
Hemmings, J. C., Barciela, R. M., and Bell, M. J.: Ocean color data assimilation with material conservation for improving model estimates of air-sea CO2 flux, J. Mar. Res., 66, 87–126, https://doi.org/https://doi.org/10.1357/002224008784815739, 2008.
Hu, J., Fennel, K., Mattern, J. P., and Wilkin, J.: Data assimilation with a local Ensemble Kalman Filter applied to a three-dimensional biological model of the Middle Atlantic Bight, J. Mar. Syst., 94, 145–156, https://doi.org/10.1016/j.jmarsys.2011.11.016, 2012.
Johnson, K., Berelson, W., Boss, E., Chase, Z., Claustre, H., Emerson, S., Gruber, N., Körtzinger, A., Perry, M., and Rise, S.: Observing biogeochemical cycles at global scales with profiling floats and gliders: Prospects for a global array, Oceanography, 22, 216–225, 2009.
Large, W. and Yeager, S.: Diurnal to decadal global forcing for ocean and sea-ice models: the data sets and flux climatologies, NCAR Technical Note: NCAR/TN-460+STR. CGD Division of the National Center for Atmospheric Research, 2004.
Lavender, S., Pinkerton, M., Moore, G., Aiken, J., and Blondeau-Patissier, D.: Modification to the atmospheric correction of SeaWiFS ocean colour images over turbid waters, Cont. Shelf Res., 25, 539–555, https://doi.org/10.1016/j.csr.2004.10.007, 2005.
Levitus, S., Boyer, T. P., Conkright, M. E., O'Brien, T., Antonov, J., Stephens, C., Stathoplos, L., Johnson, D., and Gelfeld, R.: NOAA Atlas NESDIS 18, WORLD OCEAN DATABASE, Vol. 1: Introduction, 1998.
Longhurst, A.: Seasonal cycles of pelagic production and consumption, Prog. Oceanogr., 36, 77–167, https://doi.org/10.1016/0079-6611(95)00015-1, 1995.
Lévy, M., Gavart, M., Mémery, L., Caniaux, G., and Paci, A.: A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model, J. Geophys. Res., 110, C07S21, https://doi.org/10.1029/2004JC002588, 2005.
Natvik, L. J., Eknes, M., and Evensen, G.: A weak constraint inverse for a zero-dimensional marine ecosystem model, J. Mar. Syst., 28, 19–44, https://doi.org/10.1016/S0924-7963(00)00082-8, 2001.
Natvik, L. J. and Evensen, G.: Assimilation of ocean colour data into a biochemical model of the North Atlantic: Part 1. Data assimilation experiments, J. Mar. Syst., 40-41, 127–153, https://doi.org/10.1016/S0924-7963(03)00016-2, 2003.
Nerger, L. and Gregg, W. W.: Assimilation of SeaWiFS data into a global ocean-biogeochemical model using a local SEIK filter, J. Mar. Syst., 68, 237–254, https://doi.org/10.1016/j.jmarsys.2006.11.009, 2007.
Ohde, T. and Siegel, H.: Biological response to coastal upwelling and dust deposition in the area off Northwest Africa, Cont. Shelf Res., 30, 1108–1119, https://doi.org/10.1016/j.csr.2010.02.016, 2010.
Ourmières, Y., Brasseur, P., Lévy, M., Brankart, J.-M., and Verron, J.: On the key role of nutrient data to constrain a coupled physical-biogeochemical assimilative model of the North Atlantic Ocean, J. Mar. Syst., 75, 100–115, https://doi.org/10.1016/j.jmarsys.2008.08.003, 2009.
Pham, D. T., Verron, J., and Roubaud, M. C.: A singular evolutive extended Kalman filter for data assimilation in oceanography, J. Mar. Syst., 16, 323–340, https://doi.org/10.1016/S0924-7963(97)00109-7, 1998.
Simon, E. and Bertino, L.: Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment, Ocean Sci., 5, 495–510, https://doi.org/10.5194/os-5-495-2009, 2009.
Simon, E. and Bertino, L.: Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model, J. Mar. Sys., 89, 1–18, https://doi.org/10.1016/j.jmarsys.2011.07.007, 2012.
Stammer, D., Köhl, A., Awaji, T., Balmaseda, M., Behringer, D., Carton, J., Ferry, N., Fischer, A., Fukumori, I., Giese, B., Haines, K., Harrison, E., Heimbach, P., Kamachi, M., Keppenne, C., Lee, T., Masina, S., Menemenlis, D., Ponte, R., Remy, E., Rienecker, M., Rosati, A., Schröter, J., Smith, D., Weaver, A., Wunsch, C., and Xue, Y.: Ocean information provided through ensemble ocean synthesis, in: Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 2), Venice, Italy, 21–25 September 2009, edited by: Hall, J., Harrison, D. E., and Stammer, D., ESA Publication WPP-306, https://doi.org/10.5270/OceanObs09.cwp.85, 2010.
Treguier, A. M., Barnier, B., de Miranda, A. P., Molines, J. M., Grima, N., Imbard, M., Madec, G., Messager, C., Reynaud, T. and Michel, S.: An eddy-permitting model of the Atlantic circulation: Evaluating open boundary conditions, J. Geophys. Res., 106, C10, 22115–22129, https://doi.org/10.1029/2000JC000376, 2001.
Uitz, J., Claustre, H., Morel, A., and Hooker, S. B.: Vertical distribution of phytoplankton communities in open ocean: An assessment based on surface chlorophyll, J. Geophys. Res., 111, C08005, https://doi.org/10.1029/2005JC003207, 2006.
Wilson, C.: The rocky road from research to operations for satellite ocean-colour data in fishery management, ICES J. Mar Sci., 68, 677–686, https://doi.org/10.1093/icesjms/fsq168, 2011.