Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3529-2023
© Author(s) 2023. 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-15-3529-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Aug 2023
Data description paper |
| 08 Aug 2023
| 08 Aug 2023
The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset
Philippe Massicotte
Takuvik International Research Laboratory (IRL 3376) ULaval – CNRS, Biology department, Laval University, Quebec G1V 06A, Canada
Marcel Babin
CORRESPONDING AUTHOR
Laboratoire d'Océanographie de Villefranche, CNRS/Sorbonne Université, 06230 Villefranche-sur-Mer, France
Takuvik International Research Laboratory (IRL 3376) ULaval – CNRS, Biology department, Laval University, Quebec G1V 06A, Canada
Frank Fell
Informus GmbH, 13187 Berlin, Germany
Vincent Fournier-Sicre
ACRI-ST, 260 Route du Pin Montard, 06904 Sophia Antipolis, France
European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), EUMETSAT-Allee 1, 64295 Darmstadt, Germany
David Doxaran
Laboratoire d'Océanographie de Villefranche, CNRS/Sorbonne Université, 06230 Villefranche-sur-Mer, France
Related authors
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
Short summary
Short summary
Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
Short summary
Short summary
This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Philippe Massicotte, Rainer M. W. Amon, David Antoine, Philippe Archambault, Sergio Balzano, Simon Bélanger, Ronald Benner, Dominique Boeuf, Annick Bricaud, Flavienne Bruyant, Gwenaëlle Chaillou, Malik Chami, Bruno Charrière, Jing Chen, Hervé Claustre, Pierre Coupel, Nicole Delsaut, David Doxaran, Jens Ehn, Cédric Fichot, Marie-Hélène Forget, Pingqing Fu, Jonathan Gagnon, Nicole Garcia, Beat Gasser, Jean-François Ghiglione, Gaby Gorsky, Michel Gosselin, Priscillia Gourvil, Yves Gratton, Pascal Guillot, Hermann J. Heipieper, Serge Heussner, Stanford B. Hooker, Yannick Huot, Christian Jeanthon, Wade Jeffrey, Fabien Joux, Kimitaka Kawamura, Bruno Lansard, Edouard Leymarie, Heike Link, Connie Lovejoy, Claudie Marec, Dominique Marie, Johannie Martin, Jacobo Martín, Guillaume Massé, Atsushi Matsuoka, Vanessa McKague, Alexandre Mignot, William L. Miller, Juan-Carlos Miquel, Alfonso Mucci, Kaori Ono, Eva Ortega-Retuerta, Christos Panagiotopoulos, Tim Papakyriakou, Marc Picheral, Louis Prieur, Patrick Raimbault, Joséphine Ras, Rick A. Reynolds, André Rochon, Jean-François Rontani, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Yuan Shen, Guisheng Song, Dariusz Stramski, Eri Tachibana, Alexandre Thirouard, Imma Tolosa, Jean-Éric Tremblay, Mickael Vaïtilingom, Daniel Vaulot, Frédéric Vaultier, John K. Volkman, Huixiang Xie, Guangming Zheng, and Marcel Babin
Earth Syst. Sci. Data, 13, 1561–1592, https://doi.org/10.5194/essd-13-1561-2021, https://doi.org/10.5194/essd-13-1561-2021, 2021
Short summary
Short summary
The MALINA oceanographic expedition was conducted in the Mackenzie River and the Beaufort Sea systems. The sampling was performed across seven shelf–basin transects to capture the meridional gradient between the estuary and the open ocean. The main goal of this research program was to better understand how processes such as primary production are influencing the fate of organic matter originating from the surrounding terrestrial landscape during its transition toward the Arctic Ocean.
Ariadna Celina Nocera, Lars Stemmann, Marcel Babin, Tristan Biard, Julie Coustenoble, François Carlotti, Laurent Coppola, Lucas Courchet, Laetitia Drago, Amanda Elineau, Lionel Guidi, Helena Hauss, Laëtitia Jalabert, Lee Karp-Boss, Rainer Kiko, Manon Laget, Fabien Lombard, Andrew McDonnell, Camille Merland, Solène Motreuil, Thelma Panaïotis, Marc Picheral, Andreas Rogge, Anya Waite, and Jean-Olivier Irisson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-522, https://doi.org/10.5194/essd-2025-522, 2025
Preprint under review for ESSD
Short summary
Short summary
Plankton and detritus play a key role in ocean health and climate regulation. We present a large global dataset of images and information collected from 2008 to 2018 using specialized underwater camera (UVP). This publicly available dataset will support more accurate ecological models and help train artificial intelligence tools, improving how scientists track ocean biodiversity and monitor environmental changes.
Raphaël Larouche, Bastian Raulier, Christian Katlein, Simon Lambert-Girard, Simon Thibault, and Marcel Babin
EGUsphere, https://doi.org/10.31223/X5V955, https://doi.org/10.31223/X5V955, 2025
Short summary
Short summary
We developed a new method to study how light interacts with sea ice using a compact 360-degree camera. By lowering this camera into drilled holes in ice, we captured detailed light patterns inside different ice layers. Our research revealed how light is absorbed and scattered in both Arctic multi-year ice and thinner, seasonal ice in Quebec. These findings improve our understanding of sea ice structure and its role in the climate system, helping representation sea ice in models.
Tim Trent, Marc Schröder, Shu-Peng Ho, Steffen Beirle, Ralf Bennartz, Eva Borbas, Christian Borger, Helene Brogniez, Xavier Calbet, Elisa Castelli, Gilbert P. Compo, Wesley Ebisuzaki, Ulrike Falk, Frank Fell, John Forsythe, Hans Hersbach, Misako Kachi, Shinya Kobayashi, Robert E. Kursinski, Diego Loyola, Zhengzao Luo, Johannes K. Nielsen, Enzo Papandrea, Laurence Picon, Rene Preusker, Anthony Reale, Lei Shi, Laura Slivinski, Joao Teixeira, Tom Vonder Haar, and Thomas Wagner
Atmos. Chem. Phys., 24, 9667–9695, https://doi.org/10.5194/acp-24-9667-2024, https://doi.org/10.5194/acp-24-9667-2024, 2024
Short summary
Short summary
In a warmer future, water vapour will spend more time in the atmosphere, changing global rainfall patterns. In this study, we analysed the performance of 28 water vapour records between 1988 and 2014. We find sensitivity to surface warming generally outside expected ranges, attributed to breakpoints in individual record trends and differing representations of climate variability. The implication is that longer records are required for high confidence in assessing climate trends.
Mathilde Dugenne, Marco Corrales-Ugalde, Jessica Y. Luo, Rainer Kiko, Todd D. O'Brien, Jean-Olivier Irisson, Fabien Lombard, Lars Stemmann, Charles Stock, Clarissa R. Anderson, Marcel Babin, Nagib Bhairy, Sophie Bonnet, Francois Carlotti, Astrid Cornils, E. Taylor Crockford, Patrick Daniel, Corinne Desnos, Laetitia Drago, Amanda Elineau, Alexis Fischer, Nina Grandrémy, Pierre-Luc Grondin, Lionel Guidi, Cecile Guieu, Helena Hauss, Kendra Hayashi, Jenny A. Huggett, Laetitia Jalabert, Lee Karp-Boss, Kasia M. Kenitz, Raphael M. Kudela, Magali Lescot, Claudie Marec, Andrew McDonnell, Zoe Mériguet, Barbara Niehoff, Margaux Noyon, Thelma Panaïotis, Emily Peacock, Marc Picheral, Emilie Riquier, Collin Roesler, Jean-Baptiste Romagnan, Heidi M. Sosik, Gretchen Spencer, Jan Taucher, Chloé Tilliette, and Marion Vilain
Earth Syst. Sci. Data, 16, 2971–2999, https://doi.org/10.5194/essd-16-2971-2024, https://doi.org/10.5194/essd-16-2971-2024, 2024
Short summary
Short summary
Plankton and particles influence carbon cycling and energy flow in marine ecosystems. We used three types of novel plankton imaging systems to obtain size measurements from a range of plankton and particle sizes and across all major oceans. Data were compiled and cross-calibrated from many thousands of images, showing seasonal and spatial changes in particle size structure in different ocean basins. These datasets form the first release of the Pelagic Size Structure database (PSSdb).
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
Short summary
Short summary
Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
Short summary
Short summary
This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Rainer Kiko, Marc Picheral, David Antoine, Marcel Babin, Léo Berline, Tristan Biard, Emmanuel Boss, Peter Brandt, Francois Carlotti, Svenja Christiansen, Laurent Coppola, Leandro de la Cruz, Emilie Diamond-Riquier, Xavier Durrieu de Madron, Amanda Elineau, Gabriel Gorsky, Lionel Guidi, Helena Hauss, Jean-Olivier Irisson, Lee Karp-Boss, Johannes Karstensen, Dong-gyun Kim, Rachel M. Lekanoff, Fabien Lombard, Rubens M. Lopes, Claudie Marec, Andrew M. P. McDonnell, Daniela Niemeyer, Margaux Noyon, Stephanie H. O'Daly, Mark D. Ohman, Jessica L. Pretty, Andreas Rogge, Sarah Searson, Masashi Shibata, Yuji Tanaka, Toste Tanhua, Jan Taucher, Emilia Trudnowska, Jessica S. Turner, Anya Waite, and Lars Stemmann
Earth Syst. Sci. Data, 14, 4315–4337, https://doi.org/10.5194/essd-14-4315-2022, https://doi.org/10.5194/essd-14-4315-2022, 2022
Short summary
Short summary
The term
marine particlescomprises detrital aggregates; fecal pellets; bacterioplankton, phytoplankton and zooplankton; and even fish. Here, we present a global dataset that contains 8805 vertical particle size distribution profiles obtained with Underwater Vision Profiler 5 (UVP5) camera systems. These data are valuable to the scientific community, as they can be used to constrain important biogeochemical processes in the ocean, such as the flux of carbon to the deep sea.
Gauthier Vérin, Florent Domine, Marcel Babin, Ghislain Picard, and Laurent Arnaud
The Cryosphere, 16, 3431–3449, https://doi.org/10.5194/tc-16-3431-2022, https://doi.org/10.5194/tc-16-3431-2022, 2022
Short summary
Short summary
Snow physical properties on Arctic sea ice are monitored during the melt season. As snow grains grow, and the snowpack thickness is reduced, the surface albedo decreases. The extra absorbed energy accelerates melting. Radiative transfer modeling shows that more radiation is then transmitted to the snow–sea-ice interface. A sharp increase in transmitted radiation takes place when the snowpack thins significantly, and this coincides with the initiation of the phytoplankton bloom in the seawater.
Alexandre Castagna, Luz Amadei Martínez, Margarita Bogorad, Ilse Daveloose, Renaat Dasseville, Heidi Melita Dierssen, Matthew Beck, Jonas Mortelmans, Héloïse Lavigne, Ana Dogliotti, David Doxaran, Kevin Ruddick, Wim Vyverman, and Koen Sabbe
Earth Syst. Sci. Data, 14, 2697–2719, https://doi.org/10.5194/essd-14-2697-2022, https://doi.org/10.5194/essd-14-2697-2022, 2022
Short summary
Short summary
Here we describe a dataset of optical measurements paired with the concentration and composition of dissolved and particulate components of water systems in Belgium. Sampling was performed over eight lakes, a coastal lagoon, an estuary, and coastal waters, covering the period of 2017 to 2019. The data cover a broad range of conditions and can be useful for development and evaluation of hyperspectral methods in hydrology optics and remote sensing.
Christophe Perron, Christian Katlein, Simon Lambert-Girard, Edouard Leymarie, Louis-Philippe Guinard, Pierre Marquet, and Marcel Babin
The Cryosphere, 15, 4483–4500, https://doi.org/10.5194/tc-15-4483-2021, https://doi.org/10.5194/tc-15-4483-2021, 2021
Short summary
Short summary
Characterizing the evolution of inherent optical properties (IOPs) of sea ice in situ is necessary to improve climate and arctic ecosystem models. Here we present the development of an optical probe, based on the spatially resolved diffuse reflectance method, to measure IOPs of a small volume of sea ice (dm3) in situ and non-destructively. For the first time, in situ vertically resolved profiles of the dominant IOP, the reduced scattering coefficient, were obtained for interior sea ice.
Philippe Massicotte, Rainer M. W. Amon, David Antoine, Philippe Archambault, Sergio Balzano, Simon Bélanger, Ronald Benner, Dominique Boeuf, Annick Bricaud, Flavienne Bruyant, Gwenaëlle Chaillou, Malik Chami, Bruno Charrière, Jing Chen, Hervé Claustre, Pierre Coupel, Nicole Delsaut, David Doxaran, Jens Ehn, Cédric Fichot, Marie-Hélène Forget, Pingqing Fu, Jonathan Gagnon, Nicole Garcia, Beat Gasser, Jean-François Ghiglione, Gaby Gorsky, Michel Gosselin, Priscillia Gourvil, Yves Gratton, Pascal Guillot, Hermann J. Heipieper, Serge Heussner, Stanford B. Hooker, Yannick Huot, Christian Jeanthon, Wade Jeffrey, Fabien Joux, Kimitaka Kawamura, Bruno Lansard, Edouard Leymarie, Heike Link, Connie Lovejoy, Claudie Marec, Dominique Marie, Johannie Martin, Jacobo Martín, Guillaume Massé, Atsushi Matsuoka, Vanessa McKague, Alexandre Mignot, William L. Miller, Juan-Carlos Miquel, Alfonso Mucci, Kaori Ono, Eva Ortega-Retuerta, Christos Panagiotopoulos, Tim Papakyriakou, Marc Picheral, Louis Prieur, Patrick Raimbault, Joséphine Ras, Rick A. Reynolds, André Rochon, Jean-François Rontani, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Yuan Shen, Guisheng Song, Dariusz Stramski, Eri Tachibana, Alexandre Thirouard, Imma Tolosa, Jean-Éric Tremblay, Mickael Vaïtilingom, Daniel Vaulot, Frédéric Vaultier, John K. Volkman, Huixiang Xie, Guangming Zheng, and Marcel Babin
Earth Syst. Sci. Data, 13, 1561–1592, https://doi.org/10.5194/essd-13-1561-2021, https://doi.org/10.5194/essd-13-1561-2021, 2021
Short summary
Short summary
The MALINA oceanographic expedition was conducted in the Mackenzie River and the Beaufort Sea systems. The sampling was performed across seven shelf–basin transects to capture the meridional gradient between the estuary and the open ocean. The main goal of this research program was to better understand how processes such as primary production are influencing the fate of organic matter originating from the surrounding terrestrial landscape during its transition toward the Arctic Ocean.
Cited articles
Aiken, J., Antoine, D., Babin, M., Barth, H., Bricaud, A., Chauton, M., Claustre, H., Doerffer, R., Dowell, M., Fell, F., Ferrari, M., Fischer, J., Fournier-Sicre, Vincent, Hakvoort, H., Hoepffner, N., Johnsen, G., Montagner, F., Moore, G., Morel, A., Obolensky, G., Olbert, C., Pinkerton, M., Reuter, R., Sakshaug, E., and Wernand, M.:
COASTLOOC (COAstal Surveillance Through Observation of Ocean Colour) Final Report, Tech. rep., Zenodo, https://doi.org/10.5281/ZENODO.7428384, 2000. a, b
Antoine, D., André, J.-M., and Morel, A.:
Oceanic Primary Production: 2. Estimation at Global Scale from Satellite (Coastal Zone Color Scanner) Chlorophyll, Global Biogeochem. Cy., 10, 57–69, https://doi.org/10.1029/95GB02832, 1996. a
Babin, M., Morel, A., Fournier-Sicre, V., Fell, F., and Stramski, D.:
Light Scattering Properties of Marine Particles in Coastal and Open Ocean Waters Asrelated to the Particle Mass Concentration, Limnol. Oceanogr., 48, 843–859, https://doi.org/10.4319/lo.2003.48.2.0843, 2003a. a, b
Babin, M., Stramski, D., Ferrari, G. M., Claustre, H., Bricaud, A., Obolensky, G., and Hoepffner, N.: Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe, J. Geophys. Res.-Oceans, 108, 3211, https://doi.org/10.1029/2001JC000882, 2003b. a
Begouen Demeaux, C. and Boss, E.: Validation of Remote-Sensing Algorithms for Diffuse Attenuation of Downward Irradiance Using BGC-Argo Floats, Remote Sens., 14, 4500, https://doi.org/10.3390/rs14184500, 2022. a
Belanger, S., Babin, M., and Larouche, P.: An empirical ocean color algorithm for estimating the contribution of chromophoric dissolved organic matter to total light absorption in optically complex waters, J. Geophys. Res.-Oceans, 113, C04027, https://doi.org/10.1029/2007JC004436, 2008. a
Beltrán-Abaunza, J. M., Kratzer, S., and Brockmann, C.: Evaluation of MERIS products from Baltic Sea coastal waters rich in CDOM, Ocean Sci., 10, 377–396, https://doi.org/10.5194/os-10-377-2014, 2014. a
Benner, R. and Amon, R. M.:
The Size-Reactivity Continuum of Major Bioelements in the Ocean, Annu. Rev. Mar. Sci., 7, 185–205, https://doi.org/10.1146/annurev-marine-010213-135126, 2015. a
Blix, K., Li, J., Massicotte, P., and Matsuoka, A.: Developing a new machine-learning algorithm for estimating chlorophyll-a concentration in optically complex waters: A case study for high northern latitude waters by using Sentinel 3 OLCI, Remote Sens., 11, 2076, https://doi.org/10.3390/rs11182076, 2019. a
Bricaud, A., Morel, A., and Prieur, L.:
Absorption by Dissolved Organic Matter of the Sea (Yellow Substance) in the UV and Visible Domains, Limnol. Oceanogr., 26, 43–53, https://doi.org/10.4319/lo.1981.26.1.0043, 1981. a
Caillault, K., Roupioz, L., and Viallefont-Robinet, F.: Modelling of the optical signature of oil slicks at sea for the analysis of multi-and hyperspectral VNIR-SWIR images, Optics Express, 29, 18224–18242, 2021. a
Carr, M.-E., Friedrichs, M. A., Schmeltz, M., Noguchi Aita, M., Antoine, D., Arrigo, K. R., Asanuma, I., Aumont, O., Barber, R., Behrenfeld, M., Bidigare, R., Buitenhuis, E. T., Campbell, J., Ciotti, A., Dierssen, H., Dowell, M., Dunne, J., Esaias, W., Gentili, B., Gregg, W., Groom, S., Hoepffner, N., Ishizaka, J., Kameda, T., Le Quéré, C., Lohrenz, S., Marra, J., Mélin, F., Moore, K., Morel, A., Reddy, T. E., Ryan, J., Scardi, M., Smyth, T., Turpie, K., Tilstone, G., Waters, K., and Yamanaka, Y.:
A Comparison of Global Estimates of Marine Primary Production from Ocean Color, Deep-Sea Res. Pt. II, 53, 741–770, https://doi.org/10.1016/j.dsr2.2006.01.028, 2006. a
Cetinić, I., Perry, M. J., Briggs, N. T., Kallin, E., D'Asaro, E. A., and Lee, C. M.:
Particulate Organic Carbon and Inherent Optical Properties during 2008 North Atlantic Bloom Experiment: POC AND OPTICS-NAB08, J. Geophys. Res.-Oceans, 117, C06028, https://doi.org/10.1029/2011JC007771, 2012. a
Chami, M. and Platel, M. D.: Sensitivity of the retrieval of the inherent optical properties of marine particles in coastal waters to the directional variations and the polarization of the reflectance, J. Geophys. Res.-Oceans, 112, C05037, https://doi.org/10.1029/2006JC003758, 2007. a
Claustre, H., Fell, F., Oubelkheir, K., Prieur, L., Sciandra, A., Gentili, B., and Babin, M.: Continuous monitoring of surface optical properties across a geostrophic front: Biogeochemical inferences. Limnol. Oceanogr., 45(2), 309–321, 2000. a
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J., Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg, J. J., and Melack, J.:
Plumbing the Global Carbon Cycle: Integrating Inland Waters into the Terrestrial Carbon Budget, Ecosystems, 10, 172–185, https://doi.org/10.1007/s10021-006-9013-8, 2007. a
D'Alimonte, D., Zibordi, G., Kajiyama, T., and Berthon, J. F.: Comparison between MERIS and regional high-level products in European seas, Remote Sens. Environ., 140, 378–395, 2014. a
Defoin-Platel, M. and Chami, M.: How ambiguous is the inverse problem of ocean color in coastal waters?, J. Geophys. Res.-Oceans, 112, C03004,
https://doi.org/10.1029/2006JC003847, 2007. a
Doerffer, R. and Schiller, H.: The MERIS Case 2 water algorithm, Int. J. Remote Sens., 28, 517–535, 2007. a
Doron, M., Babin, M., Mangin, A., and Hembise, O.: Estimation of light penetration, and horizontal and vertical visibility in oceanic and coastal waters from surface reflectance, J. Geophys. Res.-Oceans, 112, C06003, https://doi.org/10.1029/2006JC004007, 2007. a
Doron, M., Babin, M., Hembise, O., Mangin, A., and Garnesson, P.: Ocean transparency from space: Validation of algorithms estimating Secchi depth using MERIS, MODIS and SeaWiFS data, Remote Sens. Environ., 115, 2986–3001, 2011. a
Dransfeld, S., Tatnall, A. R., Robinson, I. S., and Mobley, C. D.: Prioritizing ocean colour channels by neural network input reflectance perturbation, Int. J. Remote Sens., 26, 1043–1048, 2005. a
Fell, F.: Oceanic Irradiance Profile Processing, Zenodo [code], https://doi.org/10.5281/zenodo.8096682, 2023. a
Ferrari, G. M.:
The Relationship between Chromophoric Dissolved Organic Matter and Dissolved Organic Carbon in the European Atlantic Coastal Area and in the West Mediterranean Sea (Gulf of Lions), Mar. Chem., 70, 339–357, https://doi.org/10.1016/S0304-4203(00)00036-0, 2000. a, b, c, d
Ferrari, G. M., Bo, F. G., and Babin, M.:
Geo-Chemical and Optical Characterizations of Suspended Matter in European Coastal Waters, Estuar. Coast. Shelf S., 57, 17–24, https://doi.org/10.1016/S0272-7714(02)00314-1, 2003. a, b, c
GEBCO Bathymetric Compilation Group 2021:
The GEBCO_2021 Grid – a Continuous Terrain Model of the Global Oceans and Land, National Oceanography Centre [data set], https://doi.org/10.5285/C6612CBE-50B3-0CFF-E053-6C86ABC09F8F, 2021. a
Gordon, H. R. and Morel, A. Y.:
Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery: A Review, Springer US, New York, NY, ISBN 978-1-4684-6280-7, 1983. a
Groom, S., Martinez-Vicente, V., Fishwick, J., Tilstone, G., Moore, G., Smyth, T., and Harbour, D.: The western English Channel observatory: Optical characteristics of station L4, J. Marine Syst., 77, 278–295, 2009. a
Guthrie, W. F.:
NIST/SEMATECH e-Handbook of Statistical Methods (NIST Handbook 151), National Institute of Standards and Technology (NIST), Gaithersburg, MD USA, https://doi.org/10.18434/M32189, 2012. a
Hedges, J., Keil, R., and Benner, R.:
What Happens to Terrestrial Organic Matter in the Ocean?, Org. Geochem., 27, 195–212, https://doi.org/10.1016/S0146-6380(97)00066-1, 1997. a
Jamet, C., Loisel, H., and Dessailly, D.: Retrieval of the spectral diffuse attenuation coefficient Kd(λ) in open and coastal ocean waters using a neural network inversion, J. Geophys. Res.-Oceans, 117, C10023, https://doi.org/10.1029/2012JC008076, 2012. a
Jerlov, N. G.:
Optical Oceanography, Limnol. Oceanogr., 13, 731–732,
https://doi.org/10.4319/lo.1968.13.4.0731, 1968. a
Kratzer, S. and Moore, G.: Inherent optical properties of the baltic sea in comparison to other seas and oceans, Remote Sens., 10, 418, https://doi.org/10.3390/rs10030418, 2018. a
Lee, Z., Carder, K. L., Mobley, C. D., Steward, R. G., and Patch, J. S.:
Hyperspectral Remote Sensing for Shallow Waters. I. A Semianalytical Model, Appl. Optics, 37, 6329, https://doi.org/10.1364/AO.37.006329, 1998. a
Loisel, H., Stramski, D., Mitchell, B. G., Fell, F., Fournier-Sicre, V., Lemasle, B., and Babin, M.: Comparison of the ocean inherent optical properties obtained from measurements and inverse modeling, Appl. Optics, 40, 2384–2397, 2001. a
Loisel, H., Vantrepotte, V., Ouillon, S., Ngoc, D. D., Herrmann, M., Tran, V., Mériaux, X., Dessailly, D., Jamet, C., Duhaut, T., Nguyen, H. H., and Van Nguyen, T.: Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012), Remote Sens. Environ., 190, 217–232, 2017. a
Loisel, H., Stramski, D., Dessailly, D., Jamet, C., Li, L., and Reynolds, R. A.: An inverse model for estimating the optical absorption and backscattering coefficients of seawater from remote-sensing reflectance over a broad range of oceanic and coastal marine environments, J. Geophys. Res.-Oceans, 123, 2141–2171, 2018. a
Massicotte, P.:
PMassicotte/Coastlooc_data_paper: V1.0.0, Zenodo [code], https://doi.org/10.5281/ZENODO.7708653, 2023a.
Massicotte, P.: PMassicotte/coastlooc_data_paper: ESSD revision round 1 (v1.1.0), Zenodo [code], https://doi.org/10.5281/zenodo.8091717, 2023b. a
Massicotte, P.: The COASTLOOC dataset [data set], https://www.seanoe.org/data/00824/93570/data/100311.csv, last access: 3 March 2023c. a
Massicotte, P., Stedmon, C., and Markager, S.:
Spectral Signature of Suspended Fine Particulate Material on Light Absorption Properties of CDOM, Mar. Chem., 196, 98–106, https://doi.org/10.1016/j.marchem.2017.07.005, 2017. a, b
Massicotte, P., Babin, M., Fell, F., Fournier-Sicre, V., and Doxaran, D.:
The COASTLOOC Project Dataset, SEANOE [data set], https://doi.org/10.17882/93570, 2023. a, b
Matsuoka, A., Hill, V., Huot, Y., Babin, M., and Bricaud, A.: Seasonal variability in the light absorption properties of western Arctic waters: Parameterization of the individual components of absorption for ocean color applications, J. Geophys. Res.-Oceans, 116, 3131–3147, https://doi.org/10.1029/2009JC005594, 2011. a
Matsuoka, A., Babin, M., Doxaran, D., Hooker, S. B., Mitchell, B. G., Bélanger, S., and Bricaud, A.: A synthesis of light absorption properties of the Arctic Ocean: application to semianalytical estimates of dissolved organic carbon concentrations from space, Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, 2014. a
Morel, A. and Bélanger, S.:
Improved Detection of Turbid Waters from Ocean Color Sensors Information, Remote Sens. Environ., 102, 237–249, https://doi.org/10.1016/j.rse.2006.01.022, 2006. a, b
Morel, A. and Prieur, L.:
Analysis of Variations in Ocean Color: Ocean Color Analysis, Limnol. Oceanogr., 22, 709–722, https://doi.org/10.4319/lo.1977.22.4.0709, 1977. a, b
Neukermans, G., Loisel, H., Mériaux, X., Astoreca, R., and McKee, D.: In situ variability of mass-specific beam attenuation and backscattering of marine particles with respect to particle size, density, and composition, Limnol. Oceanogr., 57, 124–144, 2012. a
O'Reilly, J. E. and Werdell, P. J.:
Chlorophyll Algorithms for Ocean Color Sensors - OC4, OC5 & OC6, Remote Sens. Environ., 229, 32–47, https://doi.org/10.1016/j.rse.2019.04.021, 2019. a
Oubelkheir, K., Claustre, H., Bricaud, A., and Babin, M.: Partitioning total spectral absorption in phytoplankton and colored detrital material contributions, Limnol. Oceanogr.-Methods, 5, 384–395, 2007. a
R Core Team:
R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2023. a
Schroeder, T., Behnert, I., Schaale, M., Fischer, J., and Doerffer, R.: Atmospheric correction algorithm for MERIS above case-2 waters, Int. J. Remote Sens., 28, 1469–1486, 2007. a
Schroeder, T., Schaale, M., Lovell, J., and Blondeau-Patissier, D.: An ensemble neural network atmospheric correction for Sentinel-3 OLCI over coastal waters providing inherent model uncertainty estimation and sensor noise propagation, Remote Sens. Environ., 270, 112848, https://doi.org/10.1016/j.rse.2021.112848, 2022. a
Shahraiyni, T. H., Schaale, M., Fell, F., Fischer, J., Preusker, R., Vatandoust, M., Shouraki, B. S., Tajrishy, M., Khodaparast, H., and Tavakoli, A.: Application of the Active Learning Method for the estimation of geophysical variables in the Caspian Sea from satellite ocean colour observations, Int. J. Remote Sens., 28, 4677–4683, 2007. a
Stramski, D., Reynolds, R. A., Babin, M., Kaczmarek, S., Lewis, M. R., Röttgers, R., Sciandra, A., Stramska, M., Twardowski, M. S., Franz, B. A., and Claustre, H.:
Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans, Biogeosciences, 5, 171–201, https://doi.org/10.5194/bg-5-171-2008, 2008. a
Sugihara, S., Kishino, M., and Okami, N.:
Contribution of Raman Scattering to Upward Irradiance in the Sea, Journal of the Oceanographical Society of Japan, 40, 397–404, https://doi.org/10.1007/BF02303065, 1984. a
Tassan, S. and Ferrari, G. M.:
An Alternative Approach to Absorption Measurements of Aquatic Particles Retained on Filters, Limnol. Oceanogr., 40, 1358–1368, https://doi.org/10.4319/lo.1995.40.8.1358, 1995. a
Tassan, S. and Ferrari, G. M.:
Measurement of Light Absorption by Aquatic Particles Retained on Filters: Determination of the Optical Pathlength Amplification by the `Transmittance-Reflectance' Method, J. Plankton Res., 20, 1699–1709, https://doi.org/10.1093/plankt/20.9.1699, 1998.
a
Tassan, S. and Ferrari, G. M.: A sensitivity analysis of the “Transmittance–Reflectance” method for measuring light absorption by aquatic
particles, J. Plankton Res., 24, 757–774, 2002. a
Tassan, S. and Ferrari, G. M.:
Variability of Light Absorption by Aquatic Particles in the Near-Infrared Spectral Region, Appl. Optics, 42, 4802, https://doi.org/10.1364/AO.42.004802, 2003. a
Tassan, S., Ferrari, G. M., Bricaud, A., and Babin, M.: Variability of the amplification factor of light absorption by filter-retained aquatic particles in the coastal environment, J. Plankton Res., 22, 659–668, 2000. a
Van Der Linde, D.:
Protocol for Determination of Total Suspended Matter in Oceans and Coastal Zones, Technical Note No. 1.98.182,
CEC-JRC, Ispra, Italy, 8 pp., 1998. a
Vargas, M., Brown, C. W., and Sapiano, M. R. P.:
Phenology of Marine Phytoplankton from Satellite Ocean Color Measurements, Geophys. Res. Lett., 36, L01608, https://doi.org/10.1029/2008GL036006, 2009. a
Vidussi, F., Claustre, H., Bustillos-Guzmàn, J., Cailliau, C., and Marty, J.-C.:
Determination of Chlorophylls and Carotenoids of Marine Phytoplankton: Separation of Chlorophyll a from Divinylchlorophyll a and Zeaxanthin from Lutein, J. Plankton Res., 18, 2377–2382, https://doi.org/10.1093/plankt/18.12.2377, 1996. a
Wei, J., Wang, M., Jiang, L., Yu, X., Mikelsons, K., and Shen, F.: Global estimation of suspended particulate matter from satellite ocean color imagery, J. Geophys. Res.-Oceans, 126, e2021JC017303, https://doi.org/10.1029/2021JC017303, 2021. a
Yu, X., Salama, M. S., Shen, F., and Verhoef, W.: Retrieval of the diffuse attenuation coefficient from GOCI images using the 2SeaColor model: A case study in the Yangtze Estuary, Remote Sens. Environ., 175, 109–119, 2016. a
Yu, X., Lee, Z., Shen, F., Wang, M., Wei, J., Jiang, L., and Shang, Z.: An empirical algorithm to seamlessly retrieve the concentration of suspended particulate matter from water color across ocean to turbid river mouths, Remote Sens. Environ., 235, 111491, https://doi.org/10.1016/j.rse.2019.111491, 2019. a
Zhang, T. and Fell, F.: An approach to improving the retrieval accuracy of oceanic constituents in Case II waters, J. Ocean U. China, 3, 220–224, 2004. a
Zhang, T. and Fell, F.: An empirical algorithm for determining the diffuse attenuation coefficient Kd in clear and turbid waters from spectral remote sensing reflectance, Limnol. Oceanogr.-Methods, 5, 457–462, 2007. a
Zhang, T., Fell, F., Liu, Z. S., Preusker, R., Fischer, J., and He, M. X.: Evaluating the performance of artificial neural network techniques for pigment retrieval from ocean color in Case I waters, J. Geophys. Res.-Oceans, 108, 3286, https://doi.org/10.1029/2002JC001638, 2003. a
Zheng, G. and Stramski, D.: A model based on stacked-constraints approach for partitioning the light absorption coefficient of seawater into phytoplankton and non-phytoplankton components, J. Geophys. Res.-Oceans, 118, 2155–2174, 2013. a
Short summary
The COASTlOOC oceanographic expeditions in 1997 and 1998 studied the relationship between seawater properties and biology and chemistry across the European coasts. The team collected data from 379 stations using ships and helicopters to support the development of ocean color remote-sensing algorithms. This unique and consistent dataset is still used today by researchers.
The COASTlOOC oceanographic expeditions in 1997 and 1998 studied the relationship between...
Altmetrics
Final-revised paper
Preprint