Articles | Volume 8, issue 10
Geosci. Model Dev., 8, 3071–3104, 2015
https://doi.org/10.5194/gmd-8-3071-2015
Geosci. Model Dev., 8, 3071–3104, 2015
https://doi.org/10.5194/gmd-8-3071-2015
Model description paper
 | Highlight paper
06 Oct 2015
Model description paper  | Highlight paper | 06 Oct 2015

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

G. Forget et al.

Related authors

Causes of the 2015 North Atlantic cold anomaly in a global state estimate
Rachael N. C. Sanders, Daniel C. Jones, Simon A. Josey, Bablu Sinha, and Gael Forget
Ocean Sci., 18, 953–978, https://doi.org/10.5194/os-18-953-2022,https://doi.org/10.5194/os-18-953-2022, 2022
Short summary
Earth system model parameter adjustment using a Green's functions approach
Ehud Strobach, Andrea Molod, Donifan Barahona, Atanas Trayanov, Dimitris Menemenlis, and Gael Forget
Geosci. Model Dev., 15, 2309–2324, https://doi.org/10.5194/gmd-15-2309-2022,https://doi.org/10.5194/gmd-15-2309-2022, 2022
Short summary
Ocean Plastic Assimilator v0.2: assimilation of plastic concentration data into Lagrangian dispersion models
Axel Peytavin, Bruno Sainte-Rose, Gael Forget, and Jean-Michel Campin
Geosci. Model Dev., 14, 4769–4780, https://doi.org/10.5194/gmd-14-4769-2021,https://doi.org/10.5194/gmd-14-4769-2021, 2021
Short summary
On the observability of turbulent transport rates by Argo: supporting evidence from an inversion experiment
G. Forget, D. Ferreira, and X. Liang
Ocean Sci., 11, 839–853, https://doi.org/10.5194/os-11-839-2015,https://doi.org/10.5194/os-11-839-2015, 2015
Short summary

Related subject area

Oceanography
GNOM v1.0: an optimized steady-state model of the modern marine neodymium cycle
Benoît Pasquier, Sophia K. V. Hines, Hengdi Liang, Yingzhe Wu, Steven L. Goldstein, and Seth G. John
Geosci. Model Dev., 15, 4625–4656, https://doi.org/10.5194/gmd-15-4625-2022,https://doi.org/10.5194/gmd-15-4625-2022, 2022
Short summary
Implementation and evaluation of open boundary conditions for sea ice in a regional coupled ocean (ROMS) and sea ice (CICE) modeling system
Pedro Duarte, Jostein Brændshøi, Dmitry Shcherbin, Pauline Barras, Jon Albretsen, Yvonne Gusdal, Nicholas Szapiro, Andreas Martinsen, Annette Samuelsen, Keguang Wang, and Jens Boldingh Debernard
Geosci. Model Dev., 15, 4373–4392, https://doi.org/10.5194/gmd-15-4373-2022,https://doi.org/10.5194/gmd-15-4373-2022, 2022
Short summary
ROMSPath v1.0: offline particle tracking for the Regional Ocean Modeling System (ROMS)
Elias J. Hunter, Heidi L. Fuchs, John L. Wilkin, Gregory P. Gerbi, Robert J. Chant, and Jessica C. Garwood
Geosci. Model Dev., 15, 4297–4311, https://doi.org/10.5194/gmd-15-4297-2022,https://doi.org/10.5194/gmd-15-4297-2022, 2022
Short summary
Block-structured, equal workload, multigrid nesting interface for Boussinesq wave model FUNWAVE-TVD
Young-Kwang Choi, Fengyan Shi, Matt Malej, Jane M. Smith, James T. Kirby, and Stephan Grilli
EGUsphere, https://doi.org/10.5194/egusphere-2022-35,https://doi.org/10.5194/egusphere-2022-35, 2022
Short summary
DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations
Alexander Barth, Aida Alvera-Azcárate, Charles Troupin, and Jean-Marie Beckers
Geosci. Model Dev., 15, 2183–2196, https://doi.org/10.5194/gmd-15-2183-2022,https://doi.org/10.5194/gmd-15-2183-2022, 2022
Short summary

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.
Download
Short summary
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.