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ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1

Update Frequency: Not Planned
Latest Data Update: 2015-11-06
Status: Superseded
Online Status: ONLINE
Publication State: Citable
Publication Date: 2015-12-23
DOI Publication Date: 2016-11-22
Download Stats: last 12 months
Dataset Size: 7.06K Files | 126GB

This dataset has been superseded. See Latest Version here

The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.

The ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements. These data cover the period between 09/1991 and 12/2010.

The Version 1.1 data is an update of the Version 1.0 dataset.

Version 1.0 of this dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20

Citable as:  Merchant, C.J.; Embury, O.; Roberts-Jones, J.; Fiedler, E.K.; Bulgin, C.E.; Corlett, G.K.; Good, S.A.; McLaren, A.; Rayner, N.A.; Donlon, C. (2016): ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1. Centre for Environmental Data Analysis, 22 November 2016. doi:10.5285/2262690A-B588-4704-B459-39E05527B59A.
Abbreviation: Not defined
Keywords: SST, CCI


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were processed by the ESA CCI SST project team and supplied to CEDA by the UK Met Office.

File Format:
The CCI SST Analysis Product consists of daily, spatially complete fields of SST, obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) and ATSR (Along Track Scanning Radiometer) Long Term products, using optimal interpolation to provide SSTs where there were no measurements (a single file per day; 0.05° regular latitude- longitude grid). These data start in September 1991. The SSTs correspond approximately to the daily average of the temperature of the water at 20 cm depth. Uncertainty estimates are provided for each value. The data are stored in NetCDF-4 format files. Data arrays in NetCDF files are known as ‘variables’ and each variable has metadata stored with it. Please read the ESA CCI SST Product User Guide, available in the linked documentation before using the data. There is also a Quick Start Guide.

Citations: 2

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Dixon, A. M., Forster, P. M., Heron, S. F., Stoner, A. M. K., & Beger, M. (2022). Future loss of local-scale thermal refugia in coral reef ecosystems. PLOS Climate, 1(2), e0000004.
Zuo, H., Balmaseda, M. A., Tietsche, S., Mogensen, K., & Mayer, M. (2019). The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment. Ocean Science, 15(3), 779–808.

Process overview

This dataset was generated by the computation detailed below.

CCI SST Processor


This computation involved: CCI SST Processor. This processor was developed in the ESA Climate Change Initiative, Sea Surface Temperature Project

Input Description


Output Description


Software Reference


  • units: degrees_north
  • var_id: lat_bnds
  • long_name: Latitude cell boundaries
  • names: Latitude cell boundaries
  • units: degrees_east
  • var_id: lon_bnds
  • long_name: Longitude cell boundaries
  • names: Longitude cell boundaries
  • var_id: time_bnds
  • long_name: Time cell boundaries
  • names: Time cell boundaries
  • units: kelvin
  • standard_name: sea_water_temperature
  • var_id: analysed_sst
  • long_name: analysed sea surface temperature
  • names: sea_water_temperature, analysed sea surface temperature
  • units: kelvin
  • long_name: estimated error standard deviation of analysed_sst
  • standard_name: sea_water_temperature standard_error
  • var_id: analysis_error
  • names: sea_water_temperature standard_error, estimated error standard deviation of analysed_sst
  • units: 1
  • standard_name: sea_ice_area_fraction
  • var_id: sea_ice_fraction
  • long_name: sea ice area fraction
  • names: sea_ice_area_fraction, sea ice area fraction
  • units: 1
  • long_name: sea ice area fraction error estimate
  • standard_name: sea_ice_area_fraction standard_error
  • var_id: sea_ice_fraction_error
  • names: sea ice area fraction error estimate, sea_ice_area_fraction standard_error
  • var_id: mask
  • long_name: sea/land/lake/ice field composite mask
  • names: sea/land/lake/ice field composite mask

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: Latitude
  • names: latitude, Latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: Longitude
  • names: longitude, Longitude
  • standard_name: time
  • var_id: time
  • long_name: reference time of sst file
  • names: time, reference time of sst file
Temporal Range
Start time:
End time:
Geographic Extent