Full catalog/AU_MoOcn
AU_MoOcn·v1·dataset

Monthly ocean conditions from microwave sensors (1/4 deg)

AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids V001
atmosphere NASA NSIDC_CPRD Level 3 HDF-EOS5
In plain English

What it measures. Monthly snapshots of ocean conditions: water vapor in the air, cloud liquid water, and wind speed at the sea surface, plus sea surface temperature, all on a quarter-degree map.

How it's made. Built by averaging readings from the AMSR-E and AMSR2 microwave sensors (on the Aqua and GCOM-W1 satellites) into monthly grids, with sea temperatures added from a separate NOAA product.

How & where you'd use it. Handy for studying ocean and weather patterns, tracking seasonal and year-to-year changes, and feeding climate research.

What's measured

ATMOSPHERE › CLOUDS › CLOUD MICROPHYSICS › CLOUD PRECIPITABLE WATERATMOSPHERE › PRECIPITATION › PRECIPITATION PROFILES › CLOUD WATER PATHOCEANS › OCEAN TEMPERATURE › SEA SURFACE TEMPERATUREOCEANS › OCEAN WINDS › SURFACE WINDS

Coverage & cadence

  • Time span2002-06-01 → 2011-10-04
  • Measured byAqua (AMSR-E) · GCOM-W1 (AMSR2)
  • Processing levelLevel 3
  • Spatial extent-180, -89.24, 180, 89.24
  • FormatsHDF-EOS5
  • 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

The AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids data set is a gridded product that reports monthly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean. The data are derived from resampled Near Real-Time (NRT) Level-1R data provided by Japan Aerospace Exploration Agency (JAXA). Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) product are also included.

Get the data

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

results = earthaccess.search_data(
    short_name="AU_MoOcn",
    version="1",
    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 NSIDC_CPRD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.