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Dataset

 

ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 5.0

Update Frequency: Not Planned
Latest Data Update: 2021-03-24
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-05-12
Download Stats: last 12 months
Dataset Size: 11.56K Files | 1TB

This dataset has been superseded. See Latest Version here
Abstract

The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.

This dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites) covering the period 1997 - 2020. Note, this chlor_a data is also included in the 'All Products' dataset.

This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)

Please note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)

Version 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0

Citable as:  Sathyendranath, S.; Jackson, T.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Clements, O.; Cipollini, P.; Danne, O.; Dingle, J.; Donlon, C.; Grant, M.; Groom, S.; Krasemann, H.; Lavender, S.; Mazeran, C.; Mélin, F.; Müller, D.; Steinmetz, F.; Valente, A.; Zühlke, M.; Feldman, G.; Franz, B.; Frouin, R.; Werdell, J.; Platt, T. (2021): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 5.0. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/e9f82908fd9c48138b31e5cfaa6d692b
Abbreviation: Not defined
Keywords: ESA, CCI, Ocean Colour, Geographic

Details

Previous Info:

2023-08-08 Please note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious… Show More 2023-08-08 Please note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)

Version 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0 Show Less

2021-05-19 This dataset forms part of the v5.0 ocean colour dataset collection that can be cited with the doi: 10.5285/1dbe7a109c0244aaad7… Show More 2021-05-19 This dataset forms part of the v5.0 ocean colour dataset collection that can be cited with the doi: 10.5285/1dbe7a109c0244aaad713e078fd3059a Show Less

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: http://licences.ceda.ac.uk/image/data_access_condition/esacci_oc_terms_and_conditions.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

These data were produced by the ESA Ocean Colour CCI project and provided to CEDA in the context of the ESA CCI Open Data Portal project.
This dataset forms part of the v5.0 ocean colour dataset collection that can be cited with the following DOI: 10.5285/1dbe7a109c0244aaad713e078fd3059a

Data Quality:
Data are as provided by the Ocean Colour CCI team. For details of validation see the linked Product User Guide and documentation on the Ocean Colour CCI website (https://climate.esa.int/en/projects/ocean-colour/)
File Format:
Data are netCDF formatted.

Process overview

This dataset was generated by the computation detailed below.
Title

Derivation of Ocean Colour v5 data from the ESA Climate Change Initiative Ocean Colour project (Ocean_Colour_cci)

Abstract

The ocean colour CCI has calculated ocean colour Essential Climate Variable data, using input data from various satellite instruments, as part of the ESA Climate Change Initiative program.

For more information see the Ocean Colour v5 Product User Guide.

Input Description

None

Output Description

None

Software Reference

None

  • long_name: Bias of log10-transformed chlorophyll-a concentration in seawater.
  • var_id: chlor_a_log10_bias
  • long_name: Count of the number of observations from the MERIS sensor contributing to this bin cell
  • var_id: MERIS_nobs_sum
  • var_id: MODISA_nobs_sum
  • long_name: Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
  • long_name: Count of the number of observations from the OLCI sensor contributing to this bin cell
  • var_id: OLCI_nobs_sum
  • var_id: SeaWiFS_nobs
  • long_name: Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell
  • long_name: Count of the number of observations from the VIIRS sensor contributing to this bin cell
  • var_id: VIIRS_nobs_sum
  • long_name: Count of the total number of observations contributing to this bin cell
  • var_id: total_nobs_sum
  • long_name: Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater.
  • var_id: chlor_a_log10_rmsd
  • var_id: crs

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