ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation
Massachusetts Institute of Technology · The University of Texas at Austin · +3 more institutions
Abstract
Abstract. This paper presents the ECCO v4 non-linear inverse modeling framework and its baseline solution for the evolving ocean state over the period 1992–2011. Both components are publicly available and subjected to regular, automated regression tests. The modeling framework includes sets of global conformal grids, a global model setup, implementations of data constraints and control parameters, an interface to algorithmic differentiation, as well as a grid-independent, fully capable Matlab toolbox. The baseline ECCO v4 solution is a dynamically consistent ocean state estimate without unidentified sources of heat and buoyancy, which any interested user will be able to reproduce accurately. The solution is an…
Citation impact
- FWCI
- 40.01
- Percentile
- 100%
- References
- 141
Authors
6- GFGaël ForgetCorresponding
Massachusetts Institute of Technology
- JCJean‐Michel CampinCorresponding
Massachusetts Institute of Technology
- PHPatrick HeimbachCorresponding
Massachusetts Institute of Technology, The University of Texas at Austin
- CHChris HillCorresponding
Massachusetts Institute of Technology
- RMRui M. PonteCorresponding
Atmospheric and Environmental Research
Topics & keywords
- Computer science
- Initialization
- Parametric statistics
- Parameterized complexity
- Grid
- Toolbox
- Consistency (knowledge bases)
- Inverse
- Life below water