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HadISST

Hadley Centre Sea Ice and Sea Surface Temperature data set, version 1.1

Being replaced

Being replaced

Still updated monthly, but the Met Office has announced on the official page that within 2026 it will replace HadISST1 with a new dataset. The name and release date of the successor have not been announced; regular HadISST1 users can ask the Met Office for a preview. If you are starting a new long-term analysis, watch for the replacement announcement.

At a glance

Item Details
Section Ocean › Sea surface temperature analyses (also listed in: Sea ice › Observation-based analyses)
Type Observation-based analysis
Domains Ocean, Sea ice
Provider Met Office Hadley Centre (UK)
Period 1870-01 ~ present
Coverage Global
Horizontal resolution 1 degree latitude-longitude grid (global, globally complete fields)
Vertical resolution Sea surface only
Temporal resolution Monthly
Update frequency Monthly (delay of about 1–2 months)
Licence © Crown Copyright, Met Office — Open Government Licence (version 2, per the terms and conditions page). The home page states the data are available without charge for the purposes of private study and scientific research; commercial and media enquiries go to the Met Office Customer Centre. A credit line and citation of the reference paper are required.
Account required No

Note on period: Updated at the start of each month with data typically for the month before last (a delay of about 1–2 months). The whole record from 1870 is provided as a single version, but the inputs (in situ observations, satellites, sea ice charts) change over time, which introduces discontinuities within the series.

How to read the resolution
  • Horizontal resolution lists both the native model grid and the grid you download, as given in the official documentation. The same dataset can come on different grids from different providers or products, so check the grid of your downloaded file.
  • Grid spacing is not the effective resolution. A provided grid that is finer than the native one carries no extra information.
  • Intervals and whether a value is instantaneous, mean or accumulated differ between variables — see 'Available variables' below.
  • The 'provided resolution' in lists and the comparison table is a simplified km/degree value for quick comparison. Use this page for exact values.

Overview

The Met Office Hadley Centre's sea ice and sea surface temperature (SST) data set, HadISST1, is a combination of monthly globally complete fields of SST and sea ice concentration on a 1 degree latitude-longitude grid from 1870 to date — one of the standard long-term records. Ship and buoy observations and satellite SSTs are combined by reduced-space optimal interpolation to give complete fields, and sea ice is based on digitised sea ice charts and passive microwave satellite data. It is widely used as the lower boundary condition for AMIP-style atmospheric model experiments and in studies of ENSO and long-term variability.

Available variables

Based on the official NetCDF files (HadISST_sst.nc, HadISST_ice.nc); SST and sea ice concentration come as separate files. Units were cross-checked against the metadata of the same files on NOAA ERDDAP.

Time-stamp convention — instantaneous, mean or accumulated? — click to show

All values are monthly values representing the whole month, not instantaneous values. SST is an analysis based on monthly mean observations, and sea ice concentration is based mainly on monthly medians of daily satellite or weekly chart values.

  • The time coordinate is stamped mid-month (around the 16th), but each value represents the whole month, not that day (as seen in the time coordinate of the NOAA ERDDAP mirror).
  • SST inputs are monthly means (monthly medians for some historical in situ COADS data), and weekly satellite SSTs are averaged to monthly values (Rayner et al. 2003).
  • In the satellite era (from late 1978) sea ice concentration uses the monthly median of daily concentrations, and the historical Walsh data (end-of-month values) were adjusted to be consistent with monthly medians. Values can differ slightly from an arithmetic mean.
  • The series runs from 1870 as one record, but in some periods the sea ice is filled with climatology, so a monthly value may not reflect observations from that month.

Source: Rayner et al. (2003), HadISST paper (PDF provided by the Met Office)

instantaneous mean accumulated maximum minimum static — instantaneous: value at the time stamp · mean/accumulated/maximum/minimum: over the indicated interval · static: does not change with time

Sea surface temperature (HadISST_sst.nc)

Variable Short name Units Time convention Notes
Sea surface temperature (standard_name sea_surface_temperature) sst °C Monthly mean written as C in the file

Sea ice (HadISST_ice.nc)

Variable Short name Units Time convention Notes
Monthly 1 degree resolution sea ice concentration (sea_ice_area_fraction) sic fraction 0–1 Monthly mean written as 1 in the file · Strictly, a monthly value based on the monthly median of daily satellite concentrations (or weekly charts) (Rayner et al. 2003).

The full variable list is in the official documentation.

How to get the data

  • Met Office Hadley Centre download page — Web download (NetCDF .nc.gz / ASCII .txt.gz)
    • Full-period CF-compliant NetCDF files (HadISST_sst.nc.gz about 240 MB, HadISST_ice.nc.gz about 17 MB) and update files holding only the most recent available month. ASCII files are split by period and by year, with the format described in the read instructions. No account needed.
  • NOAA CoastWatch ERDDAP — HadISST SST (erdHadISST) — ERDDAP (subset by region and time, OPeNDAP)
    • A NOAA mirror of the Met Office files. It may lag behind the original, so check the Met Office page for the latest month.
  • NOAA CoastWatch ERDDAP — HadISST sea ice (erdHadISSTIce) — ERDDAP (subset by region and time, OPeNDAP)

Example code

Download HadISST_sst.nc.gz from the download page and decompress it before running.

# pip install xarray netCDF4
import xarray as xr

ds = xr.open_dataset("HadISST_sst.nc")
sst = ds["sst"]
# Handle unphysically low values (e.g. under sea ice) as appropriate for your analysis
sst = sst.where(sst > -2)
nino34 = sst.sel(latitude=slice(5, -5), longitude=slice(-170, -120)).mean(["latitude", "longitude"])
print(nino34.sel(time="2025"))

Practical tips

  • Sea ice observations before the satellite era are very sparse. In the Antarctic in particular, 1871–1939 and 1947–1962 are filled with climatology, so sea ice variability or trends in those periods should not be read as real signals. For sea ice studies from 1979, compare with a single-algorithm satellite record.
  • According to the official service notes, the 2009 switch of satellite sea ice source introduced a discontinuity in Arctic and Antarctic sea ice; satellite SST input moved to METOP from June 2020, and in situ input moved to unadjusted HadSST4 from January 2021. Allow for these input changes when computing recent trends.
  • In the ASCII files temperatures are stored as integers in °C × 100, grid boxes fully covered by sea ice are marked -1000 and land -32768. In the NetCDF files, too, check for and mask unphysical values in ice-covered areas first.
  • HadISST.2 (HadISST2) provides sea ice concentration only, on a separate page that shows no updates since 2016. Do not mix it with HadISST1, and do not assume it is the HadISST1 successor announced for 2026.

Notices and change history

2026-06-07 · Warning · HadISST1 to be replaced with a new dataset within 2026

The HadISST home page states: "Within the next year (2026), we will replace HadISST1 with a new dataset." (The date is the page's last-updated date; the original posting date is not shown.) The name and release date of the new dataset are not yet known, and regular HadISST1 users can request a preview.

Read the original

2025-06-05 · Warning · January 2025 SST field replaced because it contained an error — re-download needed

The sea-surface temperature field originally released for January 2025 contained an error and has been replaced. If you downloaded January 2025 data before 5 June 2025, download it again.

Read the original

2021-04-26 · Info · In situ updates now based on unadjusted HadSST4

From January 2021 data onwards, the in situ updates use unadjusted HadSST4 (for continuity with the HadSST2 data previously used).

Read the original

2020-10-22 · Warning · Satellite SST source changed to METOP; cool bias in recent years

From June 2020 onwards the satellite SST source changed from NOAA satellites to METOP. Changes of source can have unexpected effects, and because no adjustment is made for ship biases or the buoy–ship offset, HadISST1 has a cool bias in recent years.

Read the original

2011-03-08 · Warning · Sea ice discontinuity from the early-2009 change of input source

The switch of satellite sea ice data source in early 2009 introduced a discontinuity in the fields of sea ice in both the Arctic and Antarctic.

Read the original

References for your paper

Double-check before using in a paper

The citations below were compiled by the maintainer and may contain errors. Always double-check DOIs, authors, years and access-date formats against the provider's official dataset page and your journal's guidelines.

Reference papers

HadISST reference paper (required citation) — DOI 10.1029/2002JD002670

Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., Kaplan, A. (2003): Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. Journal of Geophysical Research, 108(D14), 4407.

Show BibTeX
@article{rayner2003hadisst,
  author  = {Rayner, N. A. and Parker, D. E. and Horton, E. B. and Folland, C. K. and Alexander, L. V. and Rowell, D. P. and Kent, E. C. and Kaplan, A.},
  title   = {Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century},
  journal = {Journal of Geophysical Research: Atmospheres},
  volume  = {108},
  number  = {D14},
  pages   = {4407},
  year    = {2003},
  doi     = {10.1029/2002JD002670}
}

Acknowledgements

The terms and conditions require citation of Rayner et al. (2003) plus a credit line: "HadISST data were obtained from https://www.metoffice.gov.uk/hadobs/hadisst/ and are © Crown Copyright, Met Office, [year of first publication], provided under an Open Government Licence, https://www.nationalarchives.gov.uk/doc/open-government-licence/version/2/". Outside the UK, write "© British Crown Copyright, Met Office". Copy the exact wording from the terms and conditions page.

If this page helped, please acknowledge the Korean Climate Data Navigator

Please add the sentence below to the Acknowledgements of your paper.

Acknowledgements

Information on the datasets used in this study was compiled with the help of the Korean Climate Data Navigator (KCDN) (Sim, 2026; https://doi.org/10.5281/zenodo.23300923).