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Full catalog/OISST_HR_NRT-GOS-L4-BLK-v2.0
OISST_HR_NRT-GOS-L4-BLK-v2.0·v2.0·dataset

Detailed Black Sea surface temperature (0.06 degree, near real-time)

Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. Daily, gap-free maps of how warm the surface of the Black Sea is, at fine 0.06-degree detail and updated in near real time. Every spot has a value, with clouds filled in.

How it's made. Built from infrared measurements collected by several satellites and merged with statistical interpolation to fill cloud-covered gaps, producing a clean analysis map.

How & where you'd use it. Serves as an operational sea-surface-temperature product for the Black Sea, useful for marine forecasting, fisheries, and monitoring ocean conditions.

What's measured

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

Coverage & cadence

  • Time span2007-12-31 → ongoing
  • Measured byAqua (MODIS) · MSG (SEVIRI) · Terra (MODIS) · NOAA-19 (AVHRR-3) · METOP-A (AVHRR) · ENVISAT (AATSR)
  • Processing levelLevel 4
  • Spatial extent26.375, 38.75, 42.375, 48.812
  • 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

CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.

Get the data

oisst_hr_nrt-gos-l4-blk-v2.0_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="OISST_HR_NRT-GOS-L4-BLK-v2.0",
    version="2.0",
    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.