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Full catalog/K10_SST-NAVO-L4-GLOB-v01
K10_SST-NAVO-L4-GLOB-v01·v1.0·dataset

How warm the sea surface is (NAVO, 10 km)

GHRSST Level 4 K10_SST Global 10 km Analyzed Sea Surface Temperature from Naval Oceanographic Office (NAVO) in GDS2.0
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. A daily global map of how warm the sea surface is, at about 10-kilometer resolution, tuned to represent the temperature about one meter below the surface.

How it's made. Produced daily by the U.S. Naval Oceanographic Office, which blends sea-surface temperature readings from several satellite sensors (AVHRR, VIIRS, and SEVIRI on multiple satellites), weighting them by freshness, reliability, and resolution.

How & where you'd use it. Useful for weather and ocean forecasting, monitoring marine heat, and any application that needs a complete, gap-free daily picture of ocean surface temperature.

What's measured

OCEANS › OCEAN TEMPERATURE › SEA SURFACE TEMPERATURE › Sea Surface Temperature 1mOCEANS › OCEAN TEMPERATURE › SEA SURFACE TEMPERATURE

Coverage & cadence

  • Time span2019-01-09 → ongoing
  • Measured byMETEOSAT-9 (SEVIRI) · METEOSAT-11 (SEVIRI) · METOP-A (AVHRR) · Suomi-NPP (VIIRS) · METOP-B (AVHRR)
  • 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

This is a Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis dataset produced daily on an operational basis by the Naval Oceanographic Office (NAVO) on a global 0.1x0.1 degree grid. The K10 (NAVO 10-km gridded SST analyzed product) L4 analysis uses SST observations from the following instruments: Advanced Very High Resolution Radiometer (AVHRR), Visible Infrared Imaging Radiometer Suite (VIIRS), and Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The AVHRR data for this comes from the MetOp-A, MetOp-B, and NOAA-19 satellites; VIIRS data is sourced from the Suomi_NPP satellite; SEVIRI data comes from the Meteosat-8 and -11 satellites. The age (time-lag), reliability, and resolution of the data are used in the weighted average with the analysis tuned to represent SST at a reference depth of 1-meter. Input data from the AVHRR Pathfinder 9km climatology dataset (1985-1999) is used when no new satellite SST retrievals are available after 34 days. Comparing with its predecessor (DOI: https://doi.org/10.5067/GHK10-L4N01 ), this updated dataset has no major changes in Level-4 interpolated K10 algorithm, except for using different satellite instrument data, and updating metadata and file format. The major updates include: (a) updated and enhanced the granule-level metadata information, (b) converted the SST file from GHRSST Data Specification (GDS) v1.0 to v2.0, (c) added the sea_ice_fraction variable to the product, and (d) updated the filename convention to reflect compliance with GDS v2.0.

Get the data

k10_sst-navo-l4-glob-v01_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="K10_SST-NAVO-L4-GLOB-v01",
    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.