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Dataset

 

ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.0

Update Frequency: Not Planned
Latest Data Update: 2019-03-22
Status: Superseded
Online Status: ONLINE
Publication State: Citable
Publication Date: 2019-08-02
DOI Publication Date: 2019-08-22
Download Stats: last 12 months
Dataset Size: 12.91K Files | 196GB

This dataset has been superseded. See Latest Version here
Abstract

This v2.0 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude-longitude grid. It combines the orbit data from the Advanced High Resolution Radiometer (AVHRR) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.

The dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.

Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .

Citable as:  Good, S.A.; Embury, O.; Bulgin, C.E.; Mittaz, J. (2019): ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.0. Centre for Environmental Data Analysis, 22 August 2019. doi:10.5285/aced40d7cb964f23a0fd3e85772f2d48. https://dx.doi.org/10.5285/aced40d7cb964f23a0fd3e85772f2d48
Abbreviation: Not defined
Keywords: SST, ESA Climate Change Initiative

Details

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(s):
https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions_v2.pdf
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 in the context of the ESA CCI Open Data Portal project and the National Centre for Earth Observation (NCEO).

Data Quality:
As provided by the CCI SST team
File Format:
Data are in NetCDF format

Citations: 5

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.

Arellano-Nava, B., Halloran, P.R., Boulton, C.A., Scourse, J., Butler, P.G., Reynolds, D.J. & Lenton, T.M. (2022) Destabilisation of the Subpolar North Atlantic prior to the Little Ice Age. Nature Communications 13. https://doi.org/10.1038/s41467-022-32653-x https://doi.org/10.1038/s41467-022-32653-x
Ericson, Y., Fransson, A., Chierici, M., Jones, E.M., Skjelvan, I., Omar, A., Olsen, A. & Becker, M. (2023) Rapid fCO2 rise in the northern Barents Sea and Nansen Basin. Progress in Oceanography 217, 103079. https://doi.org/10.1016/j.pocean.2023.103079 https://doi.org/10.1016/j.pocean.2023.103079
Gregor, L. & Gruber, N. (2021) OceanSODA-ETHZ: a global gridded data set of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification. Earth System Science Data 13, 777–808. https://doi.org/10.5194/essd-13-777-2021 https://doi.org/10.5194/essd-13-777-2021
Ibrahim, H.D. & Sun, Y. (2023) Sea Surface Cooling by Rainfall Modulates Earth’s Heat Energy Flow. Journal of Climate 36, 5125–5141. https://doi.org/10.1175/jcli-d-22-0735.1 https://doi.org/10.1175/jcli-d-22-0735.1
Vazquez, R., Parras-Berrocal, I., Cabos, W., Sein, D.V., Mañanes, R. & Izquierdo, A. (2021) Assessment of the Canary current upwelling system in a regionally coupled climate model. Climate Dynamics 58, 69–85. https://doi.org/10.1007/s00382-021-05890-x https://doi.org/10.1007/s00382-021-05890-x

Process overview

This dataset was generated by the computation detailed below.
Title

Derivation of the ESA CCI Sea Surface Temperature Level 4 product (CDR v2)

Abstract

The L4 Sea Surface Temperature Analysis data produced by the ESA Climate Change Initiative (CCI) consistes of daily, spatially complete estimated daily SST data, derived using the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) processing system. This creates the L4 data from the ATSR and AVHRR Level 2 and Level 3 data sets also produced in the SST CCI.

For further information please see the SST CCI product user guide.

Input Description

None

Output Description

None

Software Reference

None

  • units: kelvin
  • standard_name: sea_water_temperature
  • var_id: analysed_sst
  • long_name: analysed sea surface temperature
  • var_id: mask
  • long_name: land sea ice lake bit mask
  • units: 1
  • standard_name: sea_ice_area_fraction
  • var_id: sea_ice_fraction
  • long_name: sea ice area fraction

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • standard_name: time
  • var_id: time
  • long_name: reference time of sst field
Coverage
Temporal Range
Start time:
1981-09-01T00:00:00
End time:
2016-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°