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Full catalog/ECCO_L4_OBP_LLC0090GRID_DAILY_V4R4
ECCO_L4_OBP_LLC0090GRID_DAILY_V4R4·vV4r4·dataset

Weight of water pressing on the seafloor, daily (1 degree)

ECCO Ocean Bottom Pressure - Daily Mean llc90 Grid (Version 4 Release 4)
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. Daily values for the weight of water pressing on the seafloor, plus how much that weight departs from normal, delivered on the model's own native grid. It shows where ocean mass is building up or draining away.

How it's made. Generated by the ECCO ocean model, a computer reconstruction fitted to satellite and shipboard observations, and reported on its native lat-lon-cap layout rather than a smoothed grid.

How & where you'd use it. Mainly a building-block input for ocean and climate scientists studying water movement and sea-level change; the native-grid version suits those doing detailed model analysis.

What's measured

EARTH SCIENCE SERVICES › MODELS › EARTH SCIENCE REANALYSES/ASSIMILATION MODELSOCEANS › OCEAN PRESSURE › WATER PRESSUREOCEANS › OCEAN PRESSURE

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 bottom pressure and model ocean bottom pressure anomaly 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_obp_llc0090grid_daily_v4r4_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ECCO_L4_OBP_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.