How fast and where sea ice drifts, daily (1 degree)
What it measures. Daily estimates of sea-ice drift speed and direction, delivered on the model's own native grid. It reveals where and how fast floating ice is moving.
How it's made. Generated by the ECCO ocean and sea-ice model, a computer reconstruction tuned to satellite and in-water data, kept on its native lat-lon-cap layout.
How & where you'd use it. A building-block input for detailed model studies of sea-ice movement and its links to ocean currents and climate.
What's measured
Coverage & cadence
- Time span1992-01-01 → 2018-01-01
- Measured byMODELS · MITgcm
- Processing levelLevel 4
- Spatial extent-180, -90, 180, 90
- FormatsnetCDF-4
- StatusCOMPLETE
What you can do with it
- Measure sea ice, snow cover and glaciers
- Watch ice-sheet elevation change
- Track freeze/thaw and permafrost
Official description
This dataset provides daily-averaged sea-ice velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_DAILY_V4R4",
version="V4r4",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from POCLOUD Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Software maintained by ECCO Consortium on GitHub. VIEW RELATED INFORMATION
- ECCO Version 4 Release 4 model configuration maintained by the ECCO Consortium on GitHub VIEW RELATED INFORMATION
- Instructions for reproducing ECCO Version 4 Release 4 VIEW RELATED INFORMATION
- Python Tutorials for ECCO Central Production Version 4 (ECCO V4) VIEW RELATED INFORMATION
- ECCO Version 4 Release 4 User Guide VIEW RELATED INFORMATION
- Synopsis of ECCO Version 4 Release 4 VIEW RELATED INFORMATION
- Synopsis of ECCO 'Central Estimate' global ocean and sea-ice state estimate, Version 4 Release 3 VIEW RELATED INFORMATION
- Sample Plots -- gcmfaces analysis of ECCO V4, Release 4 (1992-2017) VIEW RELATED INFORMATION