ECCO products as well as input fields and quality-controlled observations are freely available from several data servers through various applications (including DODS/OPeNDAP, LAS, GDS, Dapper, SRB, Ingrid).
A summary of available ECCO products and data servers can be found here.
|The ECCO code is based on the MIT general circulation model (MITgcm), a numerical model designed for study of the atmosphere, ocean, and climate. It comes with a variety of packages including physical parameterizations, a sea-ice model, biochemical components, and allows flexible porting across various HPC platforms.
For more details on the MITgcm click here.
|Since the mid-1990's, groups at MIT, SIO, JPL and GFDL have applied automatic/algorithmic differentiation (AD) tools for generating tangent linear and adjoint code for ocean circulation and climate studies. ECCO relies heavily on the AD tool TAMC and its commecial successor TAF. The ECCO group is also involved in the development of a new open-source AD tool OpenAD.
More details can be found here.
Mar 2016: ECCO version 4, release 2 (ECCO v4-r2) now available online
As compared with the earlier release, ECCO v4-r2 benefits from a few additional corrections as documented in this note. ECCO v4-r2 (see products) further includes the full suite of observational inputs and forcing fields, as well as an interpolated version of the state estimate fields (on a half degree lat-lon grid). The ECCO v4 model settings (see model) have also been simplified to facilitate re-runs of the state estimate solution. This capability allows any user to generate model output that may not be available online (see the ECCO version 4 user guide).
May 2015 [UPDATED Mar 2016]: paper available describing ECCO version 4, release 1 (ECCO v4-r1) in details
Following the release in February 2014 (See products) of a new-generaption, global, bi-decadal state estimate (ECCO version 4, release 1), a paper has been published and highlighted in Geoscientific Model Development that provides a detailed description of the model and estimation configuration, the observational data streams, and basic properties of the solution:
Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation. Geosci. Model Dev., 8, 3071-3104, doi:10.5194/gmd-8-3071-2015
For earlier posts please consult the news archive
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