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

Dataset

 

ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal 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Status: Superseded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 | 7TB

This dataset has been superseded.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 the Version 5.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset.

This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic 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 remote sensing reflectance gridded on a sinusoidal projection, Version 5.0. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/f30495d4425f46c489765a2f84dd6862
Abbreviation: Not defined
Keywords: ESA, CCI, Ocean Colour, Sinusoidal, Reflectance

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: 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
  • var_id: water_class1
  • long_name: Mean of normalised water class 1 membership over the compositing period
  • var_id: water_class10
  • long_name: Mean of normalised water class 10 membership over the compositing period
  • var_id: water_class11
  • long_name: Mean of normalised water class 11 membership over the compositing period
  • var_id: water_class12
  • long_name: Mean of normalised water class 12 membership over the compositing period
  • var_id: water_class13
  • long_name: Mean of normalised water class 13 membership over the compositing period
  • var_id: water_class14
  • long_name: Mean of normalised water class 14 membership over the compositing period
  • var_id: water_class2
  • long_name: Mean of normalised water class 2 membership over the compositing period
  • var_id: water_class3
  • long_name: Mean of normalised water class 3 membership over the compositing period
  • var_id: water_class4
  • long_name: Mean of normalised water class 4 membership over the compositing period
  • var_id: water_class5
  • long_name: Mean of normalised water class 5 membership over the compositing period
  • var_id: water_class6
  • long_name: Mean of normalised water class 6 membership over the compositing period
  • var_id: water_class7
  • long_name: Mean of normalised water class 7 membership over the compositing period
  • var_id: water_class8
  • long_name: Mean of normalised water class 8 membership over the compositing period
  • var_id: water_class9
  • long_name: Mean of normalised water class 9 membership over the compositing period
  • var_id: crs

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • standard_name: time
  • var_id: time