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Full catalog/ECCO_L4_ATM_STATE_05DEG_DAILY_V4R4
ECCO_L4_ATM_STATE_05DEG_DAILY_V4R4·vV4r4·dataset

Daily ocean-surface air temperature, wind and pressure (ECCO model)

ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)
atmosphere NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. Daily maps of conditions in the air just above the ocean surface: temperature, humidity, wind, and pressure, on a regular half-degree global grid.

How it's made. Comes from the ECCO project, which runs an ocean-and-sea-ice model fitted to many satellite and in-water observations to produce a physically consistent reconstruction.

How & where you'd use it. Provides a coherent picture of ocean-surface weather for studies of how the ocean, sea ice, and atmosphere interact over time.

What's measured

ATMOSPHERE › ATMOSPHERIC WINDS › SURFACE WINDS › WIND SPEEDOCEANS › OCEAN WINDS › SURFACE WINDSOCEANS › OCEAN PRESSURE › SEA LEVEL PRESSUREATMOSPHERE › ATMOSPHERIC WATER VAPOR › WATER VAPOR INDICATORS › HUMIDITY › SPECIFIC HUMIDITY EARTH SCIENCE SERVICES › MODELS › EARTH SCIENCE REANALYSES/ASSIMILATION MODELSATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATURE › AIR TEMPERATURE

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

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official description

This dataset contains daily-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 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_atm_state_05deg_daily_v4r4_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ECCO_L4_ATM_STATE_05DEG_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.