Sea surface temperature over the Indian Ocean (Meteosat)
What it measures. Sea surface temperature across the Indian Ocean region, refreshed every 15 minutes, including estimates of how uncertain each temperature reading is.
How it's made. Generated by NOAA from the SEVIRI imager aboard Europe's Meteosat-9 satellite, which sits in a fixed spot over the equator and takes full-disk images at about 3 km resolution.
How & where you'd use it. Supports weather forecasting and studies of the ocean, atmosphere, and climate, with the frequent updates being especially handy for tracking fast-changing conditions.
What's measured
Coverage & cadence
- Time span2013-08-01 → ongoing
- Measured byMSG (SEVIRI)
- Processing levelLevel 2P
- Spatial extent-81, -73, 81, 73
- 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
The GHRSST L2P MSG02 SST v1.0 dataset is produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard the Meteosat-9 (MSG2) satellite. It provides the full disk SEVIRI imagery covering the Indian Ocean region from its position at 45.5°E longitude. The L2P SST is produced at approximately 3 km resolution with a 15 minute duty cycle. On June 1, 2022, the Meteosat-9 (MSG2) replaced the Meteosat-8 (MSG1) (MSG01-OSPO-L2P-v1.0) and produced the L2P SST data from June 11. 2022 to the present. This dataset will be updated every 15 minutes as a forward data stream with 3-24 hours nominal latency. Be aware that the granules before Dec. 1, 2022 contain some uncorrected metadata errors. The SST measurements from SEVIRI are key parameters in study of the weather, atmosphere, climate and ocean environments. Meteosat satellites have been providing crucial data for weather forecasting since 1977. This L2P SST product which includes Single Sensor Error Statistics (i.e., uncertainty statistics) follows the GHRSST Data Processing Specification (GDS) version 2.0 format guidelines. Please refer to the user guide for more information.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="MSG02-OSPO-L2P-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
- Group for High Resolution Sea Surface Temperature Information VIEW RELATED INFORMATION
- GHRSST Project Home Page VIEW RELATED INFORMATION
- Documentation on the GDS version 2 format specification 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