Berger, H., Langland, R., Velden, C. S., Reynolds, C. A., and Pauley, P. M.: Impact of enhanced satellite-derived atmospheric motion vector observations on numerical tropical cyclone track forecasts in the Western North Pacific during TPARC/TCS-08, J. Appl. Meteorol. Clim., 50, 2309–2318, 2011.
Berx, B., Dickey-Collas, M., Skogen, M. D., De Roeck, Y.-H., Klein, H., Barciela, R., Forster, R. M., Dombrowsky, E., Huret, M., Payne, M., Sagarminaga, Y., and Schrum, C: Does operational oceanography address the needs of fisheries and applied environmental scientists?, Oceanography, 24, 166–171, 2011.
Bloom, S. C., Takacs, L. L., da Silva, A. M., and Ledvina, D.: Data assimilation using incremental analysis updates, Mon. Weather Rev., 124, 1256–1271, 1996.
Blower, J. D., Blanc, F., Clancy, M., Cornillon, P., Donlon, C., Hacker, P., Haines, K., Hankin, S. C., Loubrieu, T., Pouliquen, S., Price, M., Pugh, T. F., and Srinivasan, A.: Serving GODAE data and products to the ocean community, Oceanography, 22, 70–79, 2009.
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., Gruber, N., Barciela, R., Brander, K., Doron, M., El Moussaoui, A., Hobday, A. J., Huret, M., Kremeur, A. S., Lehodey, P., Matear, R., Moulin, C., Murtugudde, R., Senina, I., and Svendsen, E.: Integrating biogeochemistry and ecology into ocean data assimilation systems, Oceanography, 22, 206–215, 2009.
Campbell, J. W.: The lognormal distribution as a model for bio-optical variability in the sea, J. Geophys. Res., 100, 13237–13254, 1995.
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, 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.
Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., and Totterdell, I. J.: Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model, Nature, 408, 184–187, 2000.
Cummings, J., Bertino, L., Brasseur, P., Fukumori, I., Kamachi, M., Martin, M. J., Mogensen, K., Oke, P., Testut, C. E., Verron, J., and Weaver, A.: Ocean data assimilation systems for GODAE, Oceanography, 22, 96–109, 2009.
Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., and Wimmer, W.: The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system, Remote Sens. Environ., 116, 140–158, 2012.
El Moussaoui, A., Perruche, C., Greiner, E., Ethé, C., and Gehlen, M.: Integration of biogeochemistry into Mercator Ocean systems, Mercator Ocean Newsletter {#}40, January 2011, available at: http://www.mercator-ocean.fr/fre/actualites-agenda/newsletter/newsletter-Newsletter-40-Les-modeles-numeriques-des-ecosystemes-MyOcean (last access: December 2011), 2011.
Eppley, R. W.: Temperature and phytoplankton growth in the sea, Fish. B.-NOAA, 70, 1063–1085, 1972.
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.
Fanton d'Andon, O. H., Antoine, D., Mangin, A., Maritorena, S., Durand, D., Pradhan, Y., Lavender, S., Morel, A., Demaria, J., and Barrot, G.: Ocean colour sensors characterisation and expected error estimates of ocean colour merged products from GlobColour, Ocean Optics XIX, Barga, Italy, 6–10 October 2008, 51 pp., 2008.
Fontana, C., Grenz, C., and Pinazo, C.: Sequential assimilation of a year-long time-series of SeaWiFS chlorophyll data into a 3-D biogeochemical model on the French Mediterranean coast, Cont. Shelf Res., 30, 1761–1771, 2010.
Garcia, H. E., Locarnini, R. A., Boyer, T. P., and Antonov, J. I.: World Ocean Atlas 2005, Vol. 4: Nutrients (phosphate, nitrate, silicate), edited by: Levitus, S., NOAA Atlas NESDIS 64, US Government Printing Office, Washington, DC, 396 pp., 2006.
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, Vol. 4: Nutrients (phosphate, nitrate, and silicate), edited by: Levitus, S., NOAA Atlas NESDIS 71, US Government Printing Office, Washington, DC, 398 pp., 2010.
Geider, R. J., MacIntyre, H. L., and Kana, T. M.: Dynamic model of phytoplankton growth and acclimation: responses of the balanced growth rate and the chlorophyll
a: carbon ratio to light, nutrient-limitation and temperature, Mar. Ecol.-Prog. Ser., 148, 187–200, 1997.
GHRSST Science Team: The Recommended GHRSST Data Specification (GDS) 2.0, document revision 4, available from the GHRSST International Project Office, 2011, 123 pp., 2010.
Gregg, W. W.: Assimilation of SeaWiFS ocean chlorophyll data into a three-dimensional global ocean model, J. Marine Syst., 69, 205–225, 2008.
Gregg, W. W. and Casey, N. W.: Improving the consistency of ocean color data: A step toward climate data records, Geophys. Res. Lett., 37, L04605, https://doi.org/10.1029/2009GL041893, 2010.
Gregg, W. W., Friedrichs, M. A. M., Robinson, A. R., Rose, K. A., Schlitzer, R., Thompson, K. R., and Doney, S. C.: Skill assessment in ocean biological data assimilation, J. Marine Syst., 76, 16–33, 2009.
Hardman-Mountford, N. J., Moore, G. F., Bakker, D. C. E., Watson, A. J., Schuster, U., Barciela, R., Hines, A., Moncoiffé, G., Brown, J., Dye, S., Blackford, J., Somerfield, P., Holt, J., Hydes, D. J., and Aiken, J.: An operational monitoring system to provide indicators of CO
2-related variables in the ocean, ICES J. Mar. Sci., 65, 1498–1503, 2008.
Hemmings, J. C. P., Srokosz, M. A., Challenor, P., and Fasham, M. J. R.: Split-domain calibration of an ecosystem model using satellite ocean colour data, J. Marine Syst., 50, 141–179, 2004.
Hollingsworth, A. and Lönnberg, P.: The statistical structure of short-range forecast errors as determined from radiosonde data – Part I: The wind field, Tellus A, 38, 111–136, 1986.
Hooker, S. B., Esaias, W. E., Feldman, G. C., Gregg, W. W., and McClain, C. R.: An overview of SeaWiFS and ocean color, NASA Tech. Memo., Vol. 104566, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, MD, 1992.
Hoteit, I., Triantafyllou, G., Petihakis, G., and Allen, J. I.: A singular evolutive extended Kalman filter to assimilate real in situ data in a 1-D marine ecosystem model, Ann. Geophys., 21, 389–397, https://doi.org/10.5194/angeo-21-389-2003, 2003.
Hoteit, I., Triantafyllou, G., and Petihakis, G.: Efficient data assimilation into a complex, 3-D physical-biogeochemical model using partially-local Kalman filters, Ann. Geophys., 23, 3171–3185, https://doi.org/10.5194/angeo-23-3171-2005, 2005.
Ingleby, B. and Huddleston, M.: Quality control of ocean temperature and salinity profiles – historical and real-time data, J. Marine Syst., 65, 158–175, 2007.
Ishizaka, J.: Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern United-States continental-shelf ecosystem – Part 3: Nutrient and phytoplankton fluxes and CZCS data assimilation, J. Geophys. Res., 95, 20201–20212, 1990.
Kalnay, E.: Atmospheric modeling, data assimilation and predictability, Cambridge University Press, Cambridge, 2003.
Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J. L., Feely, R. A., Millero, F. J., Mordy, C., and Peng, T.-H.: A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP), Global Biogeochem. Cy., 18, GB4031, https://doi.org/10.1029/2004GB002247, 2004.
Le Traon, P.-Y., Larnicol, G., Guinehut, S., Pouliquen, S., Bentamy, A., Roemmich, D., Donlon, C., Roquet, H., Jacobs, G., Griffin, D., Bonjean, F., Hoepffner, N., and Breivik, L.-A.: Data assembly and processing for operational oceanography: 10 years of achievements, Oceanography, 22, 56–69, 2009.
Losa, S. N., Kivman, G. A., Schröter, J., and Wenzel, M.: Sequential weak constraint parameter estimation in an ecosystem model, J. Marine Syst., 43, 31–49, 2003.
Madec, G.: NEMO ocean engine, Note du Pole de modélisation, Institut Pierre-Simon Laplace (IPSL), France, No. 27 ISSN, 1288–1619, 2008.
Maritorena, S., Fanton d'Andon, O. H., Mangin, A., and Siegel, D. A.: Merged satellite ocean color data products using a bio-optical model: Characteristics, benefits and issues, Remote Sens. Environ., 114, 1791–1804, 2010.
Martin, M. J., Hines, A., and 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. Meteor. Soc., 133, 981–995, 2007.
Matear, R. J.: Parameter optimization and analysis of ecosystem models using simulated annealing: A case study at Station P, J. Mar. Res., 53, 571–607, 1995.
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. Marine Syst., 40–41, 127–153, 2003.
Nerger, L. and Gregg, W. W.: Assimilation of SeaWiFS data into a global ocean-biogeochemical model using a local SEIK filter, J. Marine Syst., 68, 237–254, 2007.
Nerger, L. and Gregg, W. W.: Improving assimilation of SeaWiFS data by the application of bias correction with a local SEIK filter, J. Marine Syst., 73, 87–102, 2008.
O'Brien, T.: Copepod: a global plankton database, US Dep. Commerce, NOAA Tech. Memo. NMFS-F/SPO-73, 136 pp., 2005.
O'Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K. L., Garver, S. A., Kahru, M., and McClain, C. R.: Ocean color chlorophyll algorithms for SeaWiFS, J. Geophys. Res., 103, 24937–24953, 1998.
Oke, P. R. and Sakov, P.: Representation error of oceanic observations for data assimilation, J. Atmos. Ocean. Tech., 25, 1004–1017, 2008.
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. Marine Syst., 75, 100–115, 2009.
Parrish, D. F. and Derber, J. C.: The National Meteorological Center's spectral statistical-interpolation analysis system, Mon. Weather Rev., 120, 1747–1763, 1992.
Popova, E. E., Lozano, C. J., Srokosz, M. A., Fasham, M. J. R., Haley, P. J., and Robinson, A. R.: Coupled 3-D physical and biological modelling of the mesoscale variability observed in North-East Atlantic in Spring 1997: biological processes, Deep-Sea Res. Pt. I, 49, 1741–1768, 2002.
Purser, R. J., Parrish, D. F., and Masutani, M.: Meteorological observational data compression: An alternative to conventional "super-obbing", NCEP Office Note 430, available at: http://www.ncep.noaa.gov/officenotes/NOAA-NPM-NCEPON-0006/01408B82.pdf (last access: December 2011), 2000.
Raick, C., Alvera-Azcarate, A., Barth, A., Brankart, J. M., Soetaert, K., and Grégoire, M.: Application of a SEEK filter to a 1-D biogeochemical model of the Ligurian Sea: twin experiments and real in-situ data assimilation, J. Marine Syst., 65, 561–583, 2007.
Samuelsen, A. and Bertino, L.: Arctic Ocean ecosystem modeling in MyOcean, Mercator Ocean Newsletter {#}40, January 2011, available at: http://www.mercator-ocean.fr/fre/actualites-agenda/newsletter/newsletter-Newsletter-40-Les-modeles-numeriques-des-ecosystemes-MyOcean (last access: December 2011), 2011.
Simon, E. and Bertino, L.: Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1-D ocean ecosystem model, J. Marine Syst., 89, 1–18, 2012.
Storkey, D., Blockley, E. W., Furner, R., Guiavarc'h, C., Lea, D., Martin, M. J., Barciela, R. M., Hines, A., Hyder, P., and Siddorn, J. R.: Forecasting the ocean state using NEMO: The new FOAM system, J. Operational Oceanogr., 3, 3–15, 2010.
Talagrand, O.: Assimilation of observations, an introduction, J. Meteorol. Soc. Jpn., 75, 191–209, 1997.
Taylor, K. E.: Summarizing multiple aspects of model performance in a single diagram, J. Geophys. Res., 106, 7183–7192, 2001.
Teruzzi, A., Salon, S., Bolzon, G., Lazzari, P., Campagna, S., Ficarelli, F., Solidoro, C., and Crise, A.: Operational forecasts of the biogeochemical state of the Mediterranean Sea, Mercator Ocean Newsletter {#}40, January 2011, available at: http://www.mercator-ocean.fr/fre/actualites-agenda/newsletter/newsletter-Newsletter-40-Les-modeles-numeriques-des-ecosystemes-MyOcean (last access: December 2011), 2011.
Timmermann, R., Goosse, H., Madec, G., Fichefet, T., Ethe, C., and Dulière, V.: On the representation of high latitude processes in the ORCA-LIM global coupled sea ice-ocean model, Ocean Model., 8, 175–201, 2005.
Werdell, P. J., Bailey, S. W., Fargion, G. S., Pietras, C., Knobelspiesse, K. D., Feldman, G. C., and McClain, C. R.: Unique data repository facilitates ocean color satellite validation, EOS T. Am. Geophys. Un., 84, 377–392, 2003.
While, J., Totterdell, I. J., and Martin, M. J.: Assimilation of
pCO
2 data into a global coupled physical-biogeochemical ocean model, J. Geophys. Res., 117, C03037, https://doi.org/10.1029/2010JC006815, 2012.
