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Full catalog/ECCO_L4_HEAT_FLUX_LLC0090GRID_DAILY_V4R4
ECCO_L4_HEAT_FLUX_LLC0090GRID_DAILY_V4R4·vV4r4·dataset

Daily heat exchange between ocean, ice and air (model)

ECCO Ocean and Sea-Ice Surface Heat Fluxes - Daily Mean llc90 Grid (Version 4 Release 4)
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. Daily estimates of heat moving between the ocean, sea ice, and the air above them, across the global ocean. It shows where the surface is gaining or losing heat.

How it's made. Generated by the ECCO ocean and sea-ice state estimate, a model fit to many satellite and in-water observations, provided on the model's native grid.

How & where you'd use it. Helps researchers study how the ocean exchanges heat with the atmosphere and ice, a key part of climate. It's a model-derived research product.

What's measured

OCEANS › OCEAN HEAT BUDGET › EVAPORATIONOCEANS › OCEAN HEAT BUDGET › LONGWAVE RADIATION EARTH SCIENCE SERVICES › MODELS › EARTH SCIENCE REANALYSES/ASSIMILATION MODELSOCEANS › OCEAN HEAT BUDGET › SHORTWAVE RADIATIONOCEANS › OCEAN HEAT BUDGET › HEAT FLUX

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 and sea-ice surface heat fluxes 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

ecco_l4_heat_flux_llc0090grid_daily_v4r4_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ECCO_L4_HEAT_FLUX_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.