How warm the sea surface is (DMI blended analysis)
What it measures. A daily, gap-free map of sea surface temperature across the whole globe at fine detail, representing the 'foundation' temperature of the ocean.
How it's made. Created by the Danish Meteorological Institute by blending nighttime temperature readings from several satellites and filling gaps with a statistical method called optimal interpolation.
How & where you'd use it. Useful for weather and ocean forecasting, tracking marine heatwaves, and climate monitoring.
What's measured
Coverage & cadence
- Time span2013-04-30 → ongoing
- Measured byAqua (MODIS) · MSG (SEVIRI) · Terra (MODIS) · NOAA-20 (AVHRR-3) · Suomi-NPP (VIIRS) · GCOM-W1 (AMSR2) · METOP-A (AVHRR-3)
- 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 by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a global 0.05 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer 2 (AMSR2), the Visible Infrared Imager Radiometer Suite (VIIRS), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua. An ice field from the EUMETSAT OSI-SAF is used to mask out areas with ice. This dataset adheres to the version 2 GHRSST Data Processing Specification (GDS).
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="DMI_OI-DMI-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. Official links
- Data Use and Citation Guidelines VIEW RELATED INFORMATION
- Documentation on the GDS version 2 format specification VIEW RELATED INFORMATION
- GHRSST Information VIEW RELATED INFORMATION
- HTTPS endpoint for data browse and download GET DATA
- Browse granule search results in Earthdata Search GET DATA
- Generic Data Readers VIEW RELATED INFORMATION
- This dataset can be downloaded using the podaac-data-subscriber (the recommended tool for bulk downloading PO.DAAC data). It is a Python package for downloading one or many files using the command line interface. The URL redirects to the data-subscriber home page with instructions for utilizing the tool GET DATA
- This dataset can be accessed with the Open-source Project for a Network Data Access Protocol (OPeNDAP) API framework. This service enables variable and dimensional subsetting. The URL redirects to a page with information about utilizing the service. USE SERVICE API