Dataset Collection
ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 5.0 Data
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.
Please note, this dataset has been superseded. Later versions of the data are now available.
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…
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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) |
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| Previously used record identifiers: |
No related previous identifiers.
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Related Documents
| ESA Ocean Colour CCI Product User Guide |
| ESA CCI Ocean Colour project website |
| ESA Climate Change Initiative website |
Citations: 12
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.
| A., S., Sankar, S. & K., S. (2023) Impact of tropical Indian Ocean warming on the surface phytoplankton biomass at two significant coastal upwelling zones in the Arabian Sea. Dynamics of Atmospheres and Oceans 104, 101401. https://doi.org/10.1016/j.dynatmoce.2023.101401 https://doi.org/10.1016/j.dynatmoce.2023.101401 |
| Belcher, A., Henley, S.F., Hendry, K., Wootton, M., Friberg, L., Dallman, U., Wang, T., Coath, C. & Manno, C. (2023) Seasonal cycles of biogeochemical fluxes in the Scotia Sea, Southern Ocean: a stable isotope approach. Biogeosciences 20, 3573–3591. https://doi.org/10.5194/bg-20-3573-2023 https://doi.org/10.5194/bg-20-3573-2023 |
| Gu, Y., James Hopwood, M., Gledhill, M., Rapp, I., Wuttig, K. & Achterberg, E.P. (2024) Spatial and temporal variations in the micronutrient Fe across the Peruvian shelf from 1984 to 2017. Progress in Oceanography 221, 103208. https://doi.org/10.1016/j.pocean.2024.103208 https://doi.org/10.1016/j.pocean.2024.103208 |
| Johnson, E.E., Suanda, S.H., Wing, S.R., Currie, K.I. & Smith, R.O. (2023) Episodic Summer Chlorophyll‐a Blooms Driven by Along‐Front Winds at Aotearoa’s Southeast Shelf Break Front. Journal of Geophysical Research: Oceans 128. https://doi.org/10.1029/2022jc019609 https://doi.org/10.1029/2022jc019609 |
| 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 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. https://doi.org/10.1029/2022gb007385 https://doi.org/10.1029/2022gb007385 |
| Morand, G., Joly, A., Rouyer, T., Lorieul, T. & Barde, J. (2023) Predicting species distributions in the open ocean with convolutional neural networks. https://doi.org/10.1101/2023.08.11.551418 https://doi.org/10.1101/2023.08.11.551418 |
| Morand, G., Joly, A., Rouyer, T., Lorieul, T. & Barde, J. (2024) Predicting species distributions in the open ocean with convolutional neural networks. Peer Community Journal 4. https://doi.org/10.24072/pcjournal.471 https://doi.org/10.24072/pcjournal.471 |
| 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. https://doi.org/10.1038/s41467-021-27780-w https://doi.org/10.1038/s41467-021-27780-w |
| Salois, S.L., Hyde, K.J.W., Silver, A., et al. (2023) Shelf break exchange processes influence the availability of the northern shortfin squid, <scp>Illex illecebrosus</scp>, in the Northwest Atlantic. Fisheries Oceanography 32, 461–478. https://doi.org/10.1111/fog.12640 https://doi.org/10.1111/fog.12640 |
| Yang, G., Bellacicco, M., Organelli, E. & Xing, X. (2024) Global Variability of Phytoplankton Carbon and Non‐Algal Particles From Ocean Color Data Based on a Photoacclimation Model. Journal of Geophysical Research: Oceans 129. https://doi.org/10.1029/2023jc019922 https://doi.org/10.1029/2023jc019922 |
| Yang, X., Wynn‐Edwards, C.A., Strutton, P.G. & Shadwick, E.H. (2024) Drivers of Air‐Sea CO2 Flux in the Subantarctic Zone Revealed by Time Series Observations. Global Biogeochemical Cycles 38. https://doi.org/10.1029/2023gb007766 https://doi.org/10.1029/2023gb007766 |
Temporal Range
1997-09-04T00:00:00
2020-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |