Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-435-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-435-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
05 Feb 2025
Data description article |
| 05 Feb 2025
| 05 Feb 2025
A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Vittorio Ernesto Brando
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
CSIRO Environment, Aquatic Remote Sensing Team, 16 Clunies Ross Street, GPO Box 1700, Canberra ACT 2601, Australia
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This paper presents the fourth version of the ESA Ocean Colour Climate Change Initiative global in situ bio-optical database. The updated compilation combines observations from many international data sources collected between 1996 and 2025 and includes major expansions in coverage and variables. The dataset provides a consistent reference for validating satellite ocean-colour products and supports algorithm development and long-term climate studies.
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Preprint under review for ESSD
Short summary
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This paper presents the fourth version of the ESA Ocean Colour Climate Change Initiative global in situ bio-optical database. The updated compilation combines observations from many international data sources collected between 1996 and 2025 and includes major expansions in coverage and variables. The dataset provides a consistent reference for validating satellite ocean-colour products and supports algorithm development and long-term climate studies.
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Preprint under review for SP
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Using over 25 years (1998–2025) of CMEMS satellite and model data, we examine Mediterranean phytoplankton biomass, size structure and primary production together with key physical drivers (sea-surface temperature and mixed-layer depth). Gap-free chlorophyll fields and a regional PP model feed an EOF analysis that reveals the strong seasonal and interannual coupling between physical forcing and biological response.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
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Short summary
Short summary
A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
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Short summary
This research presents a comprehensive synthetic dataset of bio-optical properties and radiometric quantities in the optical domain, resolved for all sun-view angular combinations, from ultraviolet to visible light, that provide aid in the development of satellite algorithms, including directional problems. The dataset will significantly enhance research on light behavior in water and support future hyperspectral missions. It has been made publicly available on Zenodo.
This research presents a comprehensive synthetic dataset of bio-optical properties and...
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