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Volume 8, issue 10
Geosci. Model Dev., 8, 3071–3104, 2015
https://doi.org/10.5194/gmd-8-3071-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 8, 3071–3104, 2015
https://doi.org/10.5194/gmd-8-3071-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 06 Oct 2015

Model description paper | 06 Oct 2015

ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

G. Forget et al.
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Cited articles  
Adcroft, A. and Campin, J.: Rescaled height coordinates for accurate representation of free-surface flows in ocean circulation models, Ocean Model., 7, 269–284, 2004.
Adcroft, A., Hill, C., and Marshall, J.: A new treatment of the Coriolis terms in C-grid models at both high and low resolutions, Mon. Weather Rev., 127, 1928–1936, 1999.
Adcroft, A., Campin, J.-M., Hill, C., and Marshall, J.: Implementation of an atmosphere-ocean general circulation model on the expanded spherical cube, Mon. Weather Rev., 132, 2845–2863, https://doi.org/10.1175/MWR2823.1, 2004a.
Adcroft, A., Hill, C., Campin, J.-M., Marshall, J., and Heimbach, P.: Overview of the formulation and numerics of the MITGCM, in: Proceedings of the ECMWF Seminar Series on Numerical Methods, Recent Developments in Numerical Methods for Atmosphere and Ocean Modelling, 139–149, ECMWF, available at: http://mitgcm.org/pdfs/ECMWF2004-Adcroft.pdf (last access: 29 April 2015), 2004b.
Andersen, O. B. and Knudsen, P.: DNSC08 mean sea surface and mean dynamic topography models, J. Geophys. Res.-Oceans, 114, C11001, https://doi.org/10.1029/2008JC005179, 2009.
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The ECCO v4 non-linear inverse modeling framework and its reference solution are made publicly available. The inverse estimate of ocean physics and atmospheric forcing yields a dynamically consistent and global state estimate without unidentified sources of heat and salt that closely fits in situ and satellite data. Any user can reproduce it accurately. Parametric and external model uncertainties are of comparable magnitudes and generally exceed structural model uncertainties.
The ECCO v4 non-linear inverse modeling framework and its reference solution are made publicly...
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