Articles | Volume 15, issue 5
Ocean Sci., 15, 1307–1326, 2019

Special issue: The Copernicus Marine Environment Monitoring Service (CMEMS):...

Ocean Sci., 15, 1307–1326, 2019

Research article 07 Oct 2019

Research article | 07 Oct 2019

Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system

Catherine Guiavarc'h et al.

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Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, 2009. a
Apache Software foundation: Apache Subversion, available at:, last access: 27 September 2019. a
Bell, M., Martin, M., and Nichols, N.: Assimilation of data into an ocean model with systematic errors near the equator, Q. J. Roy. Meteor. Soc., 130, 873–893, 2004. a, b, c
Blockley, E. W., Martin, M. J., and Hyder, P.: Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys, Ocean Sci., 8, 551–565,, 2012. a
Blockley, E. W., Martin, M. J., McLaren, A. J., Ryan, A. G., Waters, J., Lea, D. J., Mirouze, I., Peterson, K. A., Sellar, A., and Storkey, D.: Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts, Geosci. Model Dev., 7, 2613–2638,, 2014. a, b, c, d
Short summary
Coupled atmosphere–ocean modelling systems allow changes in the ocean to directly and immediately feed back on the atmosphere and enable improved weather prediction and ocean forecasts. This is particularly true if the coupled feedbacks are also considered in the way real-time observations of the atmospheric and oceanic states are used to obtain the initial conditions for the forecasts. Here we demonstrate promising performance from such a coupled system when used for ocean prediction.