ECCO V4r4: Daily Sea-Ice and Snow Concentration and Thickness, 1992-2017

Daily-averaged sea-ice and snow concentration and thickness data interpolated to a 0.5-degree grid. The dataset is a dynamically consistent ocean and sea-ice state estimate produced by NASA's ECCO project, covering the period from 1992 to 2017. It assimilates observations from multiple satellite altimeters, radiometers, scatterometers, gravimeters, and in-situ oceanographic instruments.

Use Cases

• Modeling sea-ice extent and thickness trends based on daily concentration and thickness grids.
• Validating climate model outputs against the assimilated observational constraints described.
• Analyzing snow cover dynamics on sea ice based on the snow concentration variable.
• Studying polar climate variability using the 26-year temporal coverage from 1992 to 2017.

Strengths

• Assimilates a wide array of observational data, including satellite altimetry, sea surface temperature, salinity, and in-situ profiles.
• Provides a 26-year continuous record from 1992-01-01 to 2018-01-01.
• Data is interpolated to a consistent 0.5-degree global grid for ease of use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal bias inherent to the availability of satellite observations over the 1992-2017 period.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Dynamically and kinematically-consistent reconstruction (state estimate) from the MIT general circulation model (MITgcm) fit to observations in a least-squares sense.

Time Range

1992-01-01 to 2018-01-01

Freshness

Last updated 2026-03-13 03:03:26.031622; freshness should be verified.

Geography

Global