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Full catalog/Geo_Polar_Blended-OSPO-L4-GLOB-v1.0
Geo_Polar_Blended-OSPO-L4-GLOB-v1.0·v1.0·dataset

How warm the sea surface is (OSPO blended analysis)

GHRSST Level 4 OSPO Global Foundation Sea Surface Temperature Analysis (GDS version 2)
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. A daily, blended global map of sea surface temperature representing the ocean's 'foundation' temperature, combining many satellites into a single best estimate.

How it's made. Produced at NOAA's Office of Satellite and Product Operations by merging day and night readings from polar-orbiting and geostationary satellites plus ship and buoy data, using optimal interpolation.

How & where you'd use it. Designed to feed weather prediction models, and useful for tracking ocean temperature and climate.

What's measured

OCEANS › OCEAN TEMPERATURE › SEA SURFACE TEMPERATURE › Foundation Sea Surface Temperature

Coverage & cadence

  • Time span2014-06-02 → ongoing
  • Measured byGOES-16 (ABI) · Himawari-9 (AHI) · GOES-15 (GOES-15 Imager) · Suomi-NPP (VIIRS) · METOP-B (AVHRR-3) · METEOSAT-10 (SEVIRI)
  • Processing levelLevel 4
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusACTIVE

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

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis uses both daytime and nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Meteorological Imager (JAMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.

Get the data

geo_polar_blended-ospo-l4-glob-v1.0_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="Geo_Polar_Blended-OSPO-L4-GLOB-v1.0",
    version="1.0",
    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.