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Full catalog/ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_LLC0090GRID_DAILY_V4R4
ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_LLC0090GRID_DAILY_V4R4·vV4r4·dataset

How swirling eddies stir the ocean (daily model)

ECCO Gent-McWilliams Bolus Transport Streamfunction - Daily Mean llc90 Grid (Version 4 Release 4)
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. A daily estimate of how swirling ocean eddies move water around, expressed as a transport streamfunction. In plain terms, it captures the stirring effect of eddies too small for the model to resolve directly.

How it's made. Comes from the ECCO ocean state estimate, a computer model of the ocean and sea ice that has been carefully fit to many satellite and in-water observations, rather than from a single instrument.

How & where you'd use it. A specialized input for ocean and climate researchers studying how heat, salt, and carbon get mixed through the ocean; most people would encounter it through broader ocean-circulation studies rather than directly.

What's measured

OCEANS › OCEAN CIRCULATION EARTH SCIENCE SERVICES › MODELS › EARTH SCIENCE REANALYSES/ASSIMILATION MODELS

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 Gent-McWilliams ocean bolus transport streamfunction 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 and model sea level anomaly (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

ecco_l4_ocean_bolus_streamfunction_llc0090grid_daily_v4r4_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_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.