ECCO V4r4: 3D Ocean Mixing Coefficients on the LLC90 Grid, 1992-2017

Global ocean state estimate data provides three-dimensional, time-invariant coefficients for Gent-McWilliams and Redi parameterizations and background vertical diffusivity on the lat-lon-cap 90 native model grid. The dataset is a product of the ECCO V4r4 optimization, which fits a 1-degree MITgcm model to observations from 1992 to 2017. Observational constraints include satellite altimetry, sea surface temperature and salinity, ocean bottom pressure, sea ice concentration, and in-situ temperature and salinity profiles.

Use Cases

• Calibrating ocean mixing parameterizations in climate models based on the estimated 3D coefficients.
• Analyzing spatial patterns of ocean eddy transport and vertical diffusion based on the gridded coefficient fields.
• Validating the physical consistency of ocean state estimates based on the dynamically and kinematically-constrained reconstruction.
• Studying the role of sub-grid scale processes in ocean heat and carbon uptake based on the optimized parameter fields.

Strengths

• Derived from a multi-decadal (1992-2017) state estimate constrained by a wide array of satellite and in-situ observations.
• Provides spatially-varying, three-dimensional coefficients on a high-resolution native model grid (llc90).
• Product of a formal optimization process, ensuring dynamical and kinematic consistency.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is time-invariant for the covered period, not capturing potential temporal evolution of mixing processes.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Optimized solution of the MIT general circulation model (MITgcm) fit to observations in a least-squares sense.

Time Range

1992-01-01 to 2017-12-31

Freshness

Last updated 2026-03-13 02:57:43.135028; freshness should be verified.

Geography

Global ocean