How warm the sea surface is, monthly (reconstructed, ERSST)
What it measures. A month-by-month record of how warm the global ocean surface has been, and how far that strays from normal, stretching all the way back to 1854 on a coarse worldwide grid.
How it's made. It's a statistical reconstruction: ship, buoy, and float measurements are blended and gap-filled with a consistent method to fill in places and times with sparse data.
How & where you'd use it. A go-to reference for studying long-term ocean warming, climate variability like El Nino, and how sea surface temperatures have shifted over more than a century and a half.
What's measured
Coverage & cadence
- Time span1854-01-01 → ongoing
- Measured byNCEP GTS (DRIFTING BUOYS) · SHIPS (THERMISTORS)
- 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
The Smith & Reynolds Extended Reconstructed Sea Surface Temperature (ERSST) Level 4 dataset provides a historical reconstruction of monthly global ocean surface temperatures and temperature anomalies over a 2 degree spatial grid since 1854 from in-situ observations based on a consistent statistical methodology that accounts for uneven sampling distributions over time and related observational biases. Version 5 of this dataset implements release 3.0 of ICOADS (International Comprehensive Ocean-Atmosphere Data Set) and is supplemented by monthly GTS (Global Telecommunications Ship and buoy) system data. As for the prior ERSST version, v5 implements Empirical Orthogonal Teleconnection analysis (EOT) but with an improved tuning method for sparsely sampled regions and periods. ERSST anomalies are computed with respect to a 1971-2000 monthly climatology. The version 5 has been improved from previous version 4. Major improvements in v5 include: 1) Inclusion and use of new sources and new versions of input datasets, such as data from Argo floats (new source), ICOADS R3.0 (from R2.5), HadISST2 (from HadISST1) sea ice concentration, and 2) Improved methodologies, such as inclusion of additional statistical modes, less spatial-temporal smoothing, better quality control method, and bias correction with baseline to modern buoy observations. The new version improves the spatial structures and magnitudes of El Nino and La Nina events. The ERSST v5 in netCDF format contains extended reconstructed sea surface temperature, SST anomaly, and associated estimated SST error standard deviation fields, in compliance with CF1.6 standard metadata.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="REYNOLDS_NCDC_L4_MONTHLY_V5",
version="5",
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
- Generic Data Readers VIEW RELATED INFORMATION
- Browse and download granules over HTTPS using the virtual directories GET DATA
- Browse granule search results in Earthdata Search GET DATA
- 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