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Dataset Collection

 

ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 5.0 Data

Status: Not defined
Publication State: citable

Abstract

This collection contains version 5.0 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.

Data products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.

This dataset collection refers to the Version 5.0 data products held in the CEDA archive covering the period 1997-2020. Links to the individual datasets that make up this collection are given in the record below.

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): Version 5.0 Data. NERC EDS Centre for Environmental Data Analysis, 19 May 2021. doi:10.5285/1dbe7a109c0244aaad713e078fd3059a. https://dx.doi.org/10.5285/1dbe7a109c0244aaad713e078fd3059a
Abbreviation: Not defined
Keywords: ESA, Ocean Colour, CCI, ECV

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 spuriou… 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

Previously used record identifiers:
No related previous identifiers.

Citations: 3

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.

Li, Q., Jiang, L., Chen, Y., Tang, J., & Gao, S. (2023). Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.1048893
Monteiro, T., Batista, M., Henley, S., Machado, E. da C., Araujo, M., & Kerr, R. (2022). Contrasting Sea‐Air CO2 Exchanges in the Western Tropical Atlantic Ocean. Global Biogeochemical Cycles, 36(8). Portico. https://doi.org/10.1029/2022gb007385
Nicholson, S.-A., Whitt, D. B., Fer, I., du Plessis, M. D., Lebéhot, A. D., Swart, S., Sutton, A. J., & Monteiro, P. M. S. (2022). Storms drive outgassing of CO2 in the subpolar Southern Ocean. Nature Communications, 13(1). https://doi.org/10.1038/s41467-021-27780-w