Ocean current speed and direction, daily (1 degree)
What it measures. Daily maps of ocean current speed and direction throughout the depths of the ocean.
How it's made. Produced from the ECCO ocean reconstruction, a computer model carefully fit to a wide range of satellite and in-water observations, on the model's native global grid.
How & where you'd use it. Useful for studying how ocean currents move water, heat, and nutrients around the planet, and for tracking how things like pollutants or marine life might drift.
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
- Watch sea-surface temperature and marine heatwaves
- Spot algal blooms and ocean-colour shifts
- Support fisheries and coastal monitoring
Official description
This dataset provides daily-averaged ocean 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_OCEAN_VEL_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