This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 



ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 3 Collated (L3C) product, version 3.0

Update Frequency: Daily
Status: Ongoing
Online Status: ONLINE
Publication State: Citable
Publication Date: 2024-05-15
DOI Publication Date: 2024-05-16
Download Stats: last 12 months
Dataset Size: 9.85K Files | 263GB


This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), daily collations on a 0.05° latitude-longitude grid, spanning 2016 to present, and separated into daytime and night-time files.

The SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total.

The dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research.

Data from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS).

Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0)

When citing this dataset please also cite the associated data paper:

Embury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024).

Citable as:  Embury, O. (2024): ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 3 Collated (L3C) product, version 3.0. NERC EDS Centre for Environmental Data Analysis, 16 May 2024. doi:10.5285/a104ed92bddd4c56b11127d4cc49b8d4.
Abbreviation: Not defined
Keywords: ESA, CCI, SST, SLSTR, L3C


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 the Centre for Environmental Data Analysis (CEDA) for archiving.

Data Quality:
For information on data quality see the linked Product Validation and Intercomparison report (PVIR) and the Climate Assessment Report (CAR)
File Format:
netCDF-4 classic following: Climate and Forecast (CF) metadata conventions, GHRSST Data Specification 2.0, and SST CCI Product Specification.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Computation Element: 1

Title CCI SST Processor v3
Abstract For more information on the derivation of the CCI SST v3 datasets see the Algorithm Theoretical Baseline Document (ATBD) at
Input Description None
Output Description None
Software Reference None
Output Description


No variables found.

Temporal Range
Start time:
End time:
Geographic Extent