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.
Dataset supports the following projects:
|ESA Ocean Colour Climate Change Initiative Project|
Please note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spuriou…
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)
|Previously used record identifiers:||
No related previous identifiers.
|ESA Ocean Colour CCI Product User Guide|
|ESA CCI Ocean Colour project website|
|ESA Climate Change Initiative website|
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 SeaâAir 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., LebÃ©hot, 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|