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Dataset

 

ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection at 4km resolution, Version 6.0

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2023-08-01
Download Stats: last 12 months
Dataset Size: 12.57K Files | 12TB
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 6.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day, monthly and yearly composites) covering the period 1997 - 2022. Note, the IOP data are also included in the 'All Products' dataset.

The inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm).

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.)

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. (2023): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection at 4km resolution, Version 6.0. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/024292dcda5d42ceb326850f89f8b40d
Abbreviation: Not defined
Keywords: ESA, CCI, Ocean Colour, Sinusoidal

Details

Previous Info:

2023-08-08 This dataset forms part of the v6.0, 4km resolution ocean colour dataset collection that can be cited with the following DOI: 1… Show More 2023-08-08 This dataset forms part of the v6.0, 4km resolution ocean colour dataset collection that can be cited with the following DOI: 10.5285/5011d22aae5a4671b0cbc7d05c56c4f0 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 v6.0, 4km resolution ocean colour dataset collection that can be cited with the following DOI: 10.5285/5011d22aae5a4671b0cbc7d05c56c4f0
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.

Related Documents

 ESA Climate Change Initiative website
 ESA CCI Ocean Colour project website
 Product User Guide

Process overview

This dataset was generated by the computation detailed below.
Title

Derivation of Ocean Colour v6 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 v6 Product User Guide.
Input Description

None
Output Description

None
Software Reference

None
  • units: m-1
  • long_name: Bias of absorption coefficient for dissolved and detrital material at 412 nm.
  • var_id: adg_412_bias
  • units: m-1
  • long_name: Bias of absorption coefficient for dissolved and detrital material at 443 nm.
  • var_id: adg_443_bias
  • units: m-1
  • long_name: Bias of absorption coefficient for dissolved and detrital material at 490 nm.
  • var_id: adg_490_bias
  • units: m-1
  • long_name: Bias of absorption coefficient for dissolved and detrital material at 510 nm.
  • var_id: adg_510_bias
  • units: m-1
  • long_name: Bias of absorption coefficient for dissolved and detrital material at 560 nm.
  • var_id: adg_560_bias
  • units: m-1
  • long_name: Bias of absorption coefficient for dissolved and detrital material at 665 nm.
  • var_id: adg_665_bias
  • units: m-1
  • long_name: Bias of phytoplankton absorption coefficient at 412 nm.
  • var_id: aph_412_bias
  • units: m-1
  • long_name: Bias of phytoplankton absorption coefficient at 443 nm.
  • var_id: aph_443_bias
  • units: m-1
  • long_name: Bias of phytoplankton absorption coefficient at 490 nm.
  • var_id: aph_490_bias
  • units: m-1
  • long_name: Bias of phytoplankton absorption coefficient at 510 nm.
  • var_id: aph_510_bias
  • units: m-1
  • long_name: Bias of phytoplankton absorption coefficient at 560 nm.
  • var_id: aph_560_bias
  • units: m-1
  • long_name: Bias of phytoplankton absorption coefficient at 665 nm.
  • var_id: aph_665_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
  • var_id: OLCI-A_nobs_sum
  • long_name: Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell
  • var_id: OLCI-B_nobs_sum
  • long_name: Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell
  • var_id: SeaWiFS_nobs_sum
  • 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
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: aph_412
  • long_name: Phytoplankton absorption coefficient at 412 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: aph_443
  • long_name: Phytoplankton absorption coefficient at 443 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: aph_490
  • long_name: Phytoplankton absorption coefficient at 490 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: aph_510
  • long_name: Phytoplankton absorption coefficient at 510 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: aph_560
  • long_name: Phytoplankton absorption coefficient at 560 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: aph_665
  • long_name: Phytoplankton absorption coefficient at 665 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • long_name: Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 412 nm.
  • var_id: adg_412_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 443 nm.
  • var_id: adg_443_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 490 nm.
  • var_id: adg_490_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 510 nm.
  • var_id: adg_510_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 560 nm.
  • var_id: adg_560_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 665 nm.
  • var_id: adg_665_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of phytoplankton absorption coefficient at 412 nm.
  • var_id: aph_412_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of phytoplankton absorption coefficient at 443 nm.
  • var_id: aph_443_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of phytoplankton absorption coefficient at 490 nm.
  • var_id: aph_490_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of phytoplankton absorption coefficient at 510 nm.
  • var_id: aph_510_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of phytoplankton absorption coefficient at 560 nm.
  • var_id: aph_560_rmsd
  • units: m-1
  • long_name: Root-mean-square-difference of phytoplankton absorption coefficient at 665 nm.
  • var_id: aph_665_rmsd
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: atot_412
  • long_name: Total absorption coefficient at 412 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: atot_443
  • long_name: Total absorption coefficient at 443 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: atot_490
  • long_name: Total absorption coefficient at 490 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: atot_510
  • long_name: Total absorption coefficient at 510 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: atot_560
  • long_name: Total absorption coefficient at 560 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • units: m-1
  • standard_name: volume_absorption_coefficient_of_radiative_flux_in_sea_water
  • var_id: atot_665
  • long_name: Total absorption coefficient at 665 nm derived using the QAA model V6 (Lee et al 2014) as parameterised within SeaDAS.
  • 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
  • units: days
Coverage
Temporal Range
Start time:
1997-09-04T00:00:00
End time:
2022-12-31T23:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (26)
Publishers (1)