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

Super-detailed Black Sea surface temperature (1 km, near real-time)

Black Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution
ocean NASA POCLOUD Level 4 netCDF-4
In plain English

What it measures. Daily, gap-free maps of sea surface temperature across the Black Sea at very fine 1-km detail, with no missing patches where clouds blocked the view.

How it's made. Built from infrared measurements collected by several satellite sensors, then filled in and smoothed using statistical interpolation to produce a complete daily map.

How & where you'd use it. Used as the standard near-real-time sea-surface-temperature product for the Black Sea, supporting marine forecasting, monitoring, and oceanographic studies.

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 0.01 deg. x 0.01 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_uhr_nrt-gos-l4-blk-v2.0_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="OISST_UHR_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.