Earth Data School
About
Full catalog/OISST_UHR_NRT-GOS-L4-MED-v2.0
OISST_UHR_NRT-GOS-L4-MED-v2.0·v2.0·dataset

How warm the Mediterranean Sea surface is (0.01 deg, ultra-fine)

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

What it measures. How warm the surface of the Mediterranean Sea is, as daily gap-free maps at an ultra-fine 0.01-degree resolution.

How it's made. Built from infrared readings collected by several satellite radiometers and filled in with statistical interpolation to remove gaps; it is the standard operational Mediterranean product.

How & where you'd use it. Used for operational ocean monitoring and forecasting in the Mediterranean Sea where extra spatial detail is needed.

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 extent-18.125, 30.25, 36.25, 46
  • 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 0.01deg. horizontal resolution over the Mediterranean 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 Mediterranean sea.

Get the data

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

results = earthaccess.search_data(
    short_name="OISST_UHR_NRT-GOS-L4-MED-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.