170 results on '"Bozec, Yann"'
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2. An updated synthesis of ocean total alkalinity and dissolved inorganic carbon measurements from 1993 to 2023: the SNAPO-CO2-v2 dataset.
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Metzl, Nicolas, Fin, Jonathan, Monaco, Claire Lo, Mignon, Claude, Alliouane, Samir, Bombled, Bruno, Boutin, Jacqueline, Bozec, Yann, Comeau, Steeve, Conan, Pascal, Coppola, Laurent, Cuet, Pascale, Ferreira, Eva, Gattuso, Jean-Pierre, Gazeau, Frédéric, Goyet, Catherine, Grossteffan, Emilie, Lansard, Bruno, Lefèvre, Dominique, and Lefèvre, Nathalie
- Subjects
OCEAN acidification ,POTENTIOMETRY ,COASTS ,DATABASES ,REFERENCE sources ,CARBON cycle - Abstract
Total alkalinity (A
T ) and dissolved inorganic carbon (CT ) in the oceans are important properties to understand the ocean carbon cycle and its link with global change (ocean carbon sinks and sources, ocean acidification) and ultimately find carbon based solutions or mitigation procedures (marine carbon removal). We present an extended database (SNAPO-CO2, Metzl et al, 2024d) with 24700 new additional data for the period 2002 to 2023. The full database now includes more than 67000 AT and CT observations along with basic ancillary data (time and space location, depth, temperature and salinity) in various oceanic regions obtained since 1993 mainly in the frame of French research projects. This includes both surface and water columns data acquired in open oceans, coastal zones, rivers and in the Mediterranean Sea and either from time-series or punctual cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ± 4 µmol kg-1 for both AT and CT . The same technique was used onboard for underway measurements during cruises conducted in the Southern Indian and Southern Oceans. The AT and CT data from these cruises are also added in this synthesis. The data are provided in one dataset for the global ocean (https://doi.org/10.17882/102337) that offers a direct use for regional or global purposes, e.g. AT /Salinity relationships, long-term CT estimates, constraint and validation of diagnostics CT and AT reconstructed fields or ocean carbon and coupled climate/carbon models simulations, as well as data derived from Biogeochemical-Argo (BGC-Argo) floats. These data can also be used to calculate pH, fugacity of CO2 (f CO2 ) and other carbon system properties to derive ocean acidification rates or air-sea CO2 fluxes. [ABSTRACT FROM AUTHOR]- Published
- 2024
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3. Statistical Analysis of High-Frequency pCO2 Data Acquired with the ASTAN buoy (South-Western English Channel, Off Roscoff)
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Gac, Jean-Philippe, Cariou, Thierry, Macé, Éric, Vernet, Marc, Bozec, Yann, Ceccaldi, Hubert-Jean, editor, Hénocque, Yves, editor, Komatsu, Teruhisa, editor, Prouzet, Patrick, editor, Sautour, Benoit, editor, and Yoshida, Jiro, editor
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- 2020
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4. A synthesis of ocean total alkalinity and dissolved inorganic carbon measurements from 1993 to 2022: the SNAPO-CO2-v1 dataset
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Metzl, Nicolas, Fin, Jonathan, Lo Monaco, Claire, Mignon, Claude, Alliouane, Samir, Antoine, David, Bourdin, Guillaume, Boutin, Jacqueline, Bozec, Yann, Conan, Pascal, Coppola, Laurent, Diaz, Frédéric, Douville, Eric, Durrieu de Madron, Xavier, Gattuso, Jean-Pierre, Gazeau, Frédéric, Golbol, Melek, Lansard, Bruno, Lefèvre, Dominique, Lefèvre, Nathalie, Lombard, Fabien, Louanchi, Férial, Merlivat, Liliane, Olivier, Léa, Petrenko, Anne, Petton, Sébastien, Pujo-Pay, Mireille, Rabouille, Christophe, Reverdin, Gilles, Ridame, Céline, Tribollet, Aline, Vellucci, Vincenzo, Wagener, Thibaut, Wimart-Rousseau, Cathy, Metzl, Nicolas, Fin, Jonathan, Lo Monaco, Claire, Mignon, Claude, Alliouane, Samir, Antoine, David, Bourdin, Guillaume, Boutin, Jacqueline, Bozec, Yann, Conan, Pascal, Coppola, Laurent, Diaz, Frédéric, Douville, Eric, Durrieu de Madron, Xavier, Gattuso, Jean-Pierre, Gazeau, Frédéric, Golbol, Melek, Lansard, Bruno, Lefèvre, Dominique, Lefèvre, Nathalie, Lombard, Fabien, Louanchi, Férial, Merlivat, Liliane, Olivier, Léa, Petrenko, Anne, Petton, Sébastien, Pujo-Pay, Mireille, Rabouille, Christophe, Reverdin, Gilles, Ridame, Céline, Tribollet, Aline, Vellucci, Vincenzo, Wagener, Thibaut, and Wimart-Rousseau, Cathy
- Abstract
Total alkalinity (AT) and dissolved inorganic carbon (CT) in the oceans are important properties with respect to understanding the ocean carbon cycle and its link to global change (ocean carbon sinks and sources, ocean acidification) and ultimately finding carbon-based solutions or mitigation procedures (marine carbon removal). We present a database of more than 44 400 AT and CT observations along with basic ancillary data (spatiotemporal location, depth, temperature and salinity) from various ocean regions obtained, mainly in the framework of French projects, since 1993. This includes both surface and water column data acquired in the open ocean, coastal zones and in the Mediterranean Sea and either from time series or dedicated one-off cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ±4 µmol kg−1 for both AT and CT. The data are provided in two separate datasets – for the Global Ocean and the Mediterranean Sea (https://doi.org/10.17882/95414, Metzl et al., 2023), respectively – that offer a direct use for regional or global purposes, e.g., AT–salinity relationships, long-term CT estimates, and constraint and validation of diagnostic CT and AT reconstructed fields or ocean carbon and coupled climate–carbon models simulations as well as data derived from Biogeochemical-Argo (BGC-Argo) floats. When associated with other properties, these data can also be used to calculate pH, the fugacity of CO2 (fCO2) and other carbon system properties to derive ocean acidification rates or air–sea CO2 fluxes.
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- 2024
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5. French coastal network for carbonate system monitoring: The CocoriCO2 dataset
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Petton, Sébastien, Pernet, Fabrice, Le Roy, Valerian, Huber, Matthias, Martin, Sophie, Mace, Eric, Bozec, Yann, Loisel, Stephane, Rimmelin-maury, Peggy, Grossteffan, Emilie, Repecaud, Michel, Quemener, Loïc, Retho, Michael, Manach, Soazig, Papin, Mathias, Pineau, Philippe, Lacoue-labarthe, Thomas, Deborde, Jonathan, Costes, Louis, Polsenaere, Pierre, Rigouin, Loic, Benhamou, Jeremy, Gouriou, Laure, Lequeux, Josephine, Labourdette, Nathalie, Savoye, Nicolas, Messiaen, Gregory, Foucault, Elodie, Ouisse, Vincent, Richard, Marion, Lagarde, Franck, Voron, Florian, Kempf, Valentin, Mas, Sebastien, Giannecchini, Lea, Vidussi, Francesca, Mostajir, Behzad, Leredde, Yann, Alliouane, Samir, Gattuso, Jean-pierre, Gazeau, Frederic, Petton, Sébastien, Pernet, Fabrice, Le Roy, Valerian, Huber, Matthias, Martin, Sophie, Mace, Eric, Bozec, Yann, Loisel, Stephane, Rimmelin-maury, Peggy, Grossteffan, Emilie, Repecaud, Michel, Quemener, Loïc, Retho, Michael, Manach, Soazig, Papin, Mathias, Pineau, Philippe, Lacoue-labarthe, Thomas, Deborde, Jonathan, Costes, Louis, Polsenaere, Pierre, Rigouin, Loic, Benhamou, Jeremy, Gouriou, Laure, Lequeux, Josephine, Labourdette, Nathalie, Savoye, Nicolas, Messiaen, Gregory, Foucault, Elodie, Ouisse, Vincent, Richard, Marion, Lagarde, Franck, Voron, Florian, Kempf, Valentin, Mas, Sebastien, Giannecchini, Lea, Vidussi, Francesca, Mostajir, Behzad, Leredde, Yann, Alliouane, Samir, Gattuso, Jean-pierre, and Gazeau, Frederic
- Abstract
Since the beginning of the industrial revolution, atmospheric carbon dioxide (CO2) concentrations have risen steadily and have induced a decrease of the averaged surface ocean pH by 0.1 units, corresponding to an increase in ocean acidity of about 30 %. In addition to ocean warming, ocean acidification poses a tremendous challenge to some marine organisms, especially calcifiers. The need for long-term oceanic observations of pH and temperature is a key element to assess the vulnerability of marine communities and ecosystems to these pressures. Nearshore productive environments, where a large majority of shellfish farming activities are conducted, are known to present pH levels as well as amplitudes of daily and seasonal variations that are much larger than those observed in the open ocean. Yet, to date, there are very few coastal observation sites where these parameters are measured simultaneously and at high frequency. To bridge this gap, an observation network was initiated in 2021 in the framework of the CocoriCO(2) project. Six sites were selected along the French Atlantic and Mediterranean coastlines based on their importance in terms of shellfish production and the presence of high- and low-frequency monitoring activities. At each site, autonomous pH sensors were deployed, both inside and outside shellfish production areas, next to high-frequency CTD (conductivity-temperature-depth) probes operated through two operating monitoring networks. pH sensors were set to an acquisition rate of 15 min, and discrete seawater samples were collected biweekly in order to control the quality of pH data (laboratory spectrophotometric measurements) as well as to measure total alkalinity and dissolved inorganic carbon concentrations for full characterization of the carbonate system. While this network has been up and running for more than 2 years, the acquired dataset has already revealed important differences in terms of pH variations between monitored sites related to the in
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- 2024
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6. A synthesis of ocean total alkalinity and dissolved inorganic carbon measurements from 1993 to 2022: the SNAPO-CO2-v1 dataset
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Metzl, Nicolas, primary, Fin, Jonathan, additional, Lo Monaco, Claire, additional, Mignon, Claude, additional, Alliouane, Samir, additional, Antoine, David, additional, Bourdin, Guillaume, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Conan, Pascal, additional, Coppola, Laurent, additional, Diaz, Frédéric, additional, Douville, Eric, additional, Durrieu de Madron, Xavier, additional, Gattuso, Jean-Pierre, additional, Gazeau, Frédéric, additional, Golbol, Melek, additional, Lansard, Bruno, additional, Lefèvre, Dominique, additional, Lefèvre, Nathalie, additional, Lombard, Fabien, additional, Louanchi, Férial, additional, Merlivat, Liliane, additional, Olivier, Léa, additional, Petrenko, Anne, additional, Petton, Sébastien, additional, Pujo-Pay, Mireille, additional, Rabouille, Christophe, additional, Reverdin, Gilles, additional, Ridame, Céline, additional, Tribollet, Aline, additional, Vellucci, Vincenzo, additional, Wagener, Thibaut, additional, and Wimart-Rousseau, Cathy, additional
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- 2024
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7. French coastal network for carbonate system monitoring: The CocoriCO2 dataset
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Petton, Sébastien, primary, Pernet, Fabrice, additional, Le Roy, Valérian, additional, Huber, Matthias, additional, Martin, Sophie, additional, Macé, Eric, additional, Bozec, Yann, additional, Loisel, Stéphane, additional, Rimmelin-Maury, Peggy, additional, Grossteffan, Emilie, additional, Repecaud, Michel, additional, Quemener, Loïc, additional, Retho, Michael, additional, Manac'h, Saozig, additional, Papin, Mathias, additional, Pineau, Philippe, additional, Lacoue-Labarthe, Thomas, additional, Deborde, Jonathan, additional, Costes, Louis, additional, Polsenaere, Pierre, additional, Rigouin, Loïc, additional, Benhamou, Jérémy, additional, Gouriou, Laure, additional, Lequeux, Joséphine, additional, Labourdette, Nathalie, additional, Savoye, Nicolas, additional, Messiaen, Grégory, additional, Foucault, Elodie, additional, Ouisse, Vincent, additional, Richard, Marion, additional, Lagarde, Franck, additional, Voron, Florian, additional, Kempf, Valentin, additional, Mas, Sébastien, additional, Giannecchini, Léa, additional, Vidussi, Francesca, additional, Mostajir, Behzad, additional, Leredde, Yann, additional, Alliouane, Samir, additional, Gattuso, Jean-Pierre, additional, and Gazeau, Frédéric, additional
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- 2023
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8. Dynamics of particulate organic matter composition in coastal systems: Forcing of spatio-temporal variability at multi-systems scale
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Liénart, Camilla, Savoye, Nicolas, David, Valérie, Ramond, Pierre, Rodriguez Tress, Paco, Hanquiez, Vincent, Marieu, Vincent, Aubert, Fabien, Aubin, Sébastien, Bichon, Sabrina, Boinet, Christophe, Bourasseau, Line, Bozec, Yann, Bréret, Martine, Breton, Elsa, Caparros, Jocelyne, Cariou, Thierry, Claquin, Pascal, Conan, Pascal, Corre, Anne-Marie, Costes, Laurence, Crouvoisier, Muriel, Del Amo, Yolanda, Derriennic, Hervé, Dindinaud, François, Duran, Robert, Durozier, Maïa, Devesa, Jérémy, Ferreira, Sophie, Feunteun, Eric, Garcia, Nicole, Geslin, Sandrine, Grossteffan, Emilie, Gueux, Aurore, Guillaudeau, Julien, Guillou, Gaël, Jolly, Orianne, Lachaussée, Nicolas, Lafont, Michel, Lagadec, Véronique, Lamoureux, Jézabel, Lauga, Béatrice, Lebreton, Benoît, Lecuyer, Eric, Lehodey, Jean-Paul, Leroux, Cédric, L'Helguen, Stéphane, Macé, Eric, Maria, Eric, Mousseau, Laure, Nowaczyk, Antoine, Pineau, Philippe, Petit, Franck, Pujo-Pay, Mireille, Raimbault, Patrick, Rimmelin-Maury, Peggy, Rouaud, Vanessa, Sauriau, Pierre-Guy, Sultan, Emmanuelle, and Susperregui, Nicolas
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- 2018
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9. Assessment of the Processes Controlling Seasonal Variations of Dissolved Inorganic Carbon in the North Sea
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Bozec, Yann, Thomas, Helmuth, Schiettecatte, Laure-Sophie, Borges, Alberto V., and Elkalay, Khalid
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- 2006
10. The elemental stoichiometry (C, Si, N, P) of the Hebrides Shelf and its role in carbon export
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Painter, Stuart C., Hartman, Susan E., Kivimäe, Caroline, Salt, Lesley A., Clargo, Nicola M., Daniels, Chris J., Bozec, Yann, Daniels, Lucie, Allen, Stephanie, Hemsley, Victoria S., Moschonas, Grigorios, and Davidson, Keith
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- 2017
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11. Enhanced Open Ocean Storage of CO 2 from Shelf Sea Pumping
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Thomas, Helmuth, Bozec, Yann, and Elkalay, Khalid
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- 2004
12. A synthesis of SNAPO-CO2 ocean total alkalinity and total dissolved inorganic carbon measurements from 1993 to 2022
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Metzl, Nicolas, primary, Fin, Jonathan, additional, Lo Monaco, Claire, additional, Mignon, Claude, additional, Alliouane, Samir, additional, Antoine, David, additional, Bourdin, Guillaume, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Conan, Pascal, additional, Coppola, Laurent, additional, Diaz, Frédéric, additional, Douville, Eric, additional, Durrieu de Madron, Xavier, additional, Gattuso, Jean-Pierre, additional, Gazeau, Frédéric, additional, Golbol, Melek, additional, Lansard, Bruno, additional, Lefèvre, Dominique, additional, Lefèvre, Nathalie, additional, Lombard, Fabien, additional, Louanchi, Férial, additional, Merlivat, Liliane, additional, Olivier, Léa, additional, Petrenko, Anne, additional, Petton, Sébastien, additional, Pujo-Pay, Mireille, additional, Rabouille, Christophe, additional, Reverdin, Gilles, additional, Ridame, Céline, additional, Tribollet, Aline, additional, Vellucci, Vincenzo, additional, Wagener, Thibaut, additional, and Wimart-Rousseau, Cathy, additional
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- 2023
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13. Supplementary material to "A synthesis of SNAPO-CO2 ocean total alkalinity and total dissolved inorganic carbon measurements from 1993 to 2022"
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Metzl, Nicolas, primary, Fin, Jonathan, additional, Lo Monaco, Claire, additional, Mignon, Claude, additional, Alliouane, Samir, additional, Antoine, David, additional, Bourdin, Guillaume, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Conan, Pascal, additional, Coppola, Laurent, additional, Diaz, Frédéric, additional, Douville, Eric, additional, Durrieu de Madron, Xavier, additional, Gattuso, Jean-Pierre, additional, Gazeau, Frédéric, additional, Golbol, Melek, additional, Lansard, Bruno, additional, Lefèvre, Dominique, additional, Lefèvre, Nathalie, additional, Lombard, Fabien, additional, Louanchi, Férial, additional, Merlivat, Liliane, additional, Olivier, Léa, additional, Petrenko, Anne, additional, Petton, Sébastien, additional, Pujo-Pay, Mireille, additional, Rabouille, Christophe, additional, Reverdin, Gilles, additional, Ridame, Céline, additional, Tribollet, Aline, additional, Vellucci, Vincenzo, additional, Wagener, Thibaut, additional, and Wimart-Rousseau, Cathy, additional
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- 2023
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14. Dynamics of particulate organic matter composition in coastal systems: A spatio-temporal study at multi-systems scale
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Liénart, Camilla, Savoye, Nicolas, Bozec, Yann, Breton, Elsa, Conan, Pascal, David, Valérie, Feunteun, Eric, Grangeré, Karine, Kerhervé, Philippe, Lebreton, Benoît, Lefebvre, Sébastien, L'Helguen, Stéphane, Mousseau, Laure, Raimbault, Patrick, Richard, Pierre, Riera, Pascal, Sauriau, Pierre-Guy, Schaal, Gauthier, Aubert, Fabien, Aubin, Sébastien, Bichon, Sabrina, Boinet, Christophe, Bourasseau, Line, Bréret, Martine, Caparros, Jocelyne, Cariou, Thierry, Charlier, Karine, Claquin, Pascal, Cornille, Vincent, Corre, Anne-Marie, Costes, Laurence, Crispi, Olivier, Crouvoisier, Muriel, Czamanski, Marie, Del Amo, Yolanda, Derriennic, Hervé, Dindinaud, François, Durozier, Maïa, Hanquiez, Vincent, Nowaczyk, Antoine, Devesa, Jérémy, Ferreira, Sophie, Fornier, Michel, Garcia, Fabrice, Garcia, Nicole, Geslin, Sandrine, Grossteffan, Emilie, Gueux, Aurore, Guillaudeau, Julien, Guillou, Gaël, Joly, Orianne, Lachaussée, Nicolas, Lafont, Michel, Lamoureux, Jézabel, Lecuyer, Eric, Lehodey, Jean-Paul, Lemeille, David, Leroux, Cédric, Macé, Eric, Maria, Eric, Pineau, Philippe, Petit, Franck, Pujo-Pay, Mireille, Rimelin-Maury, Peggy, and Sultan, Emmanuelle
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- 2017
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15. Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT
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Breton, Elsa, primary, Savoye, Nicolas, additional, Rimmelin-Maury, Peggy, additional, Sautour, Benoit, additional, Goberville, Eric, additional, Lheureux, Arnaud, additional, Cariou, Thierry, additional, Ferreira, Sophie, additional, Agogué, Hélène, additional, Alliouane, Samir, additional, Aubert, Fabien, additional, Aubin, Sébastien, additional, Berthebaud, Eric, additional, Blayac, Hadrien, additional, Blondel, Lucie, additional, Boulart, Cédric, additional, Bozec, Yann, additional, Bureau, Sarah, additional, Caillo, Arnaud, additional, Cauvin, Arnaud, additional, Cazes, Jean-Baptiste, additional, Chasselin, Léo, additional, Claquin, Pascal, additional, Conan, Pascal, additional, Cordier, Marie-Ange, additional, Costes, Laurence, additional, Crec’hriou, Romain, additional, Crispi, Olivier, additional, Crouvoisier, Muriel, additional, David, Valérie, additional, Del Amo, Yolanda, additional, De Lary, Hortense, additional, Delebecq, Gaspard, additional, Devesa, Jeremy, additional, Domeau, Aurélien, additional, Durozier, Maria, additional, Emery, Claire, additional, Feunteun, Eric, additional, Fauchot, Juliette, additional, Gentilhomme, Valérie, additional, Geslin, Sandrine, additional, Giraud, Mélanie, additional, Grangeré, Karine, additional, Grégori, Gerald, additional, Grossteffan, Emilie, additional, Gueux, Aurore, additional, Guillaudeau, Julien, additional, Guillou, Gael, additional, Harrewyn, Manon, additional, Jolly, Orianne, additional, Jude-Lemeilleur, Florence, additional, Labatut, Paul, additional, Labourdette, Nathalie, additional, Lachaussée, Nicolas, additional, Lafont, Michel, additional, Lagadec, Veronique, additional, Lambert, Christophe, additional, Lamoureux, Jezebel, additional, Lanceleur, Laurent, additional, Lebreton, Benoit, additional, Lecuyer, Eric, additional, Lemeille, David, additional, Leredde, Yann, additional, Leroux, Cédric, additional, Leynaert, Aude, additional, L’Helguen, Stéphane, additional, Liénart, Camilla, additional, Macé, Eric, additional, Maria, Eric, additional, Marie, Barbara, additional, Marie, Dominique, additional, Mas, Sébastien, additional, Mendes, Fabrice, additional, Mornet, Line, additional, Mostajir, Behzad, additional, Mousseau, Laure, additional, Nowaczyk, Antoine, additional, Nunige, Sandra, additional, Parra, René, additional, Paulin, Thomas, additional, Pecqueur, David, additional, Petit, Franck, additional, Pineau, Philippe, additional, Raimbault, Patrick, additional, Rigaut-Jalabert, Fabienne, additional, Salmeron, Christophe, additional, Salter, Ian, additional, Sauriau, Pierre-Guy, additional, Seuront, Laurent, additional, Sultan, Emmanuelle, additional, Valdès, Rémi, additional, Vantrepotte, Vincent, additional, Vidussi, Francesca, additional, Voron, Florian, additional, Vuillemin, Renaud, additional, Zudaire, Laurent., additional, and Garcia, Nicole, additional
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- 2023
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16. Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT
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Breton, Elsa, Savoye, Nicolas, Rimmelin-maury, Peggy, Sautour, Benoit, Goberville, Eric, Lheureux, Arnaud, Cariou, Thierry, Ferreira, Sophie, Agogué, Hélène, Alliouane, Samir, Aubert, Fabien, Aubin, Sébastien, Berthebaud, Eric, Blayac, Hadrien, Blondel, Lucie, Boulart, Cedric, Bozec, Yann, Bureau, Sarah, Caillo, Arnaud, Cauvin, Arnaud, Cazes, Jean-baptiste, Chasselin, Leo, Claquin, Pascal, Conan, Pascal, Cordier, Marie-ange, Costes, Laurence, Crec’hriou, Romain, Crispi, Olivier, Crouvoisier, Muriel, David, Valérie, Del Amo, Yolanda, De Lary, Hortense, Delebecq, Gaspard, Devesa, Jeremy, Domeau, Aurélien, Durozier, Maria, Emery, Claire, Feunteun, Eric, Fauchot, Juliette, Gentilhomme, Valérie, Geslin, Sandrine, Giraud, Mélanie, Grangeré, Karine, Grégori, Gerald, Grossteffan, Emilie, Gueux, Aurore, Guillaudeau, Julien, Guillou, Gael, Harrewyn, Manon, Jolly, Orianne, Jude-lemeilleur, Florence, Labatut, Paul, Labourdette, Nathalie, Lachaussée, Nicolas, Lafont, Michel, Lagadec, Veronique, Lambert, Christophe, Lamoureux, Jezebel, Lanceleur, Laurent, Lebreton, Benoit, Lecuyer, Eric, Lemeille, David, Leredde, Yann, Leroux, Cédric, Leynaert, Aude, L’helguen, Stéphane, Liénart, Camilla, Macé, Eric, Maria, Eric, Marie, Barbara, Marie, Dominique, Mas, Sébastien, Mendes, Fabrice, Mornet, Line, Mostajir, Behzad, Mousseau, Laure, Nowaczyk, Antoine, Nunige, Sandra, Parra, René, Paulin, Thomas, Pecqueur, David, Petit, Franck, Pineau, Philippe, Raimbault, Patrick, Rigaut-jalabert, Fabienne, Salmeron, Christophe, Salter, Ian, Sauriau, Pierre-guy, Seuront, Laurent, Sultan, Emmanuelle, Valdès, Rémi, Vantrepotte, Vincent, Vidussi, Francesca, Voron, Florian, Vuillemin, Renaud, Zudaire, Laurent., Garcia, Nicole, Breton, Elsa, Savoye, Nicolas, Rimmelin-maury, Peggy, Sautour, Benoit, Goberville, Eric, Lheureux, Arnaud, Cariou, Thierry, Ferreira, Sophie, Agogué, Hélène, Alliouane, Samir, Aubert, Fabien, Aubin, Sébastien, Berthebaud, Eric, Blayac, Hadrien, Blondel, Lucie, Boulart, Cedric, Bozec, Yann, Bureau, Sarah, Caillo, Arnaud, Cauvin, Arnaud, Cazes, Jean-baptiste, Chasselin, Leo, Claquin, Pascal, Conan, Pascal, Cordier, Marie-ange, Costes, Laurence, Crec’hriou, Romain, Crispi, Olivier, Crouvoisier, Muriel, David, Valérie, Del Amo, Yolanda, De Lary, Hortense, Delebecq, Gaspard, Devesa, Jeremy, Domeau, Aurélien, Durozier, Maria, Emery, Claire, Feunteun, Eric, Fauchot, Juliette, Gentilhomme, Valérie, Geslin, Sandrine, Giraud, Mélanie, Grangeré, Karine, Grégori, Gerald, Grossteffan, Emilie, Gueux, Aurore, Guillaudeau, Julien, Guillou, Gael, Harrewyn, Manon, Jolly, Orianne, Jude-lemeilleur, Florence, Labatut, Paul, Labourdette, Nathalie, Lachaussée, Nicolas, Lafont, Michel, Lagadec, Veronique, Lambert, Christophe, Lamoureux, Jezebel, Lanceleur, Laurent, Lebreton, Benoit, Lecuyer, Eric, Lemeille, David, Leredde, Yann, Leroux, Cédric, Leynaert, Aude, L’helguen, Stéphane, Liénart, Camilla, Macé, Eric, Maria, Eric, Marie, Barbara, Marie, Dominique, Mas, Sébastien, Mendes, Fabrice, Mornet, Line, Mostajir, Behzad, Mousseau, Laure, Nowaczyk, Antoine, Nunige, Sandra, Parra, René, Paulin, Thomas, Pecqueur, David, Petit, Franck, Pineau, Philippe, Raimbault, Patrick, Rigaut-jalabert, Fabienne, Salmeron, Christophe, Salter, Ian, Sauriau, Pierre-guy, Seuront, Laurent, Sultan, Emmanuelle, Valdès, Rémi, Vantrepotte, Vincent, Vidussi, Francesca, Voron, Florian, Vuillemin, Renaud, Zudaire, Laurent., and Garcia, Nicole
- Abstract
IntroductionWhile crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented. MethodsWith a focus on annual inter-laboratory comparison (ILC) exercises performed in the context of the French coastal monitoring SOMLIT network, we share here a pragmatic approach to QC, which allows the calculation of systematic and random errors, measurement uncertainty, and individual performance. After an overview of the different QC actions applied to fulfill requirements for quality and competence, we report equipment, accommodation, design of the ILC exercises, and statistical methodology specially adapted to small environmental networks (<20 laboratories) and multivariate datasets. Finally, the expanded uncertainty of measurement for 20 environmental variables routinely measured by SOMLIT from discrete sampling—including Essential Ocean Variables—is provided. Results, Discussion, ConclusionThe examination of the temporal variations (2001–2021) in the repeatability, reproducibility, and trueness of the SOMLIT network over time confirms the essential role of ILC exercises as a tool for the continuous improvement of data quality in environmental monitoring datasets.
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- 2023
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17. French coastal network for carbonate system monitoring: The CocoriCO2 dataset.
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Petton, Sébastien, Pernet, Fabrice, Roy, Valérian Le, Huber, Matthias, Martin, Sophie, Macé, Éric, Bozec, Yann, Loisel, Stéphane, Rimmelin-Maury, Peggy, Grossteffan, Émilie, Repecaud, Michel, Quemener, Loïc, Retho, Michael, Manac’h, Soazig, Papin, Mathias, Pineau, Philippe, LacoueLabarthe, Thomas, Deborde, Jonathan, Costes, Louis, and Polsenaere, Pierre
- Subjects
ATMOSPHERIC carbon dioxide ,GROUNDWATER monitoring ,OCEAN acidification ,SENSOR networks ,MARINE ecology ,CARBONATES - Abstract
Since the beginning of the industrial revolution, atmospheric carbon dioxide (CO
2 ) concentrations have risen steadily and have induced a decrease of the averaged surface ocean pH by 0.1 units, corresponding to an increase in ocean acidity of about 30 %. In addition to ocean warming, ocean acidification poses a tremendous challenge to some marine organisms, especially calcifiers. The need for long-term oceanic observations of pH and temperature is a key element to assess the vulnerability of marine communities and ecosystems to these pressures. Nearshore productive environments, where a large majority of shellfish farming activities are conducted, are known to present pH levels as well as amplitudes of daily and seasonal variations that are much larger than those observed in the open ocean. Yet, to date, there are very few coastal observation sites where these parameters are measured simultaneously and at high frequency. To bridge this gap, an observation network was initiated in 2021 in the framework of the CocoriCO2 project. Six sites were selected along the French Atlantic and Mediterranean coastlines based on their importance in terms of shellfish production and the presence of high- and low-frequency monitoring activities. At each site, autonomous pH sensors were deployed both inside and outside shellfish production areas, next to high-frequency CTD (conductivity- temperature-depth) probes operated through two operating monitoring networks. pH sensors were set to an acquisition rate of 15 min and discrete seawater samples were collected biweekly in order to control the quality of pH data (laboratory spectrophotometric measurements) as well as to measure total alkalinity and dissolved inorganic carbon concentrations for full characterization of the carbonate system. While this network has been up and running for more than two years, the acquired dataset has already revealed important differences in terms of pH variations between monitored sites related to the influence of diverse processes (freshwater inputs, tides, temperature, biological processes). [ABSTRACT FROM AUTHOR]- Published
- 2023
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18. A synthesis of SNAPO-CO2 ocean total alkalinity and total dissolved inorganic carbon measurements from 1993 to 2022.
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Metzl, Nicolas, Fin, Jonathan, Lo Monaco, Claire, Mignon, Claude, Alliouane, Samir, Antoine, David, Bourdin, Guillaume, Boutin, Jacqueline, Bozec, Yann, Conan, Pascal, Coppola, Laurent, Diaz, Frédéric, Douville, Eric, de Madron, Xavier Durrieu, Gattuso, Jean-Pierre, Gazeau, Frédéric, Golbol, Melek, Lansard, Bruno, Lefèvre, Dominique, and Lefèvre, Nathalie
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CARBON cycle ,OCEAN ,ALKALINITY ,OCEAN acidification ,POTENTIOMETRY ,COASTS - Abstract
Total alkalinity (AT) and total dissolved inorganic carbon (CT) in the oceans are important properties to understand the ocean carbon cycle and its link with climate change (ocean carbon sinks and sources) or global change (ocean acidification). We present a data-base of more than 44 400 AT and CT observations in various ocean regions obtained since 1993 mainly in the frame of French projects. This includes both surface and water columns data acquired in open oceans, coastal zones and in the Mediterranean Sea and either from time-series or punctual cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ± 4 µmol kg-1 for both AT and CT. Given the lack of observations in the Indian and Southern Oceans, we added sea surface underway AT and CT data obtained in 1998-2018 in the frame of OISO cruises and in 2019 during the CLIM-EPARSES cruise measured onboard using the same technique. Separate datasets for the global ocean, and for the Mediterranean Sea are provided in a single format (https://doi.org/10.17882/95414, Metzl et al., 2023) that offers a direct use for regional or global purposes, e.g. AT/Salinity relationships, long-term CT estimates, constraint and validation of diagnostics CT-AT reconstructed fields or ocean carbon and coupled climate/carbon models simulations, as well as data derived from BG-ARGO floats. When associated with other properties, these data can also be used to calculate pH, fugacity of CO2 (fCO2) and other carbon systems properties to derive ocean acidification rates or air-sea CO2 fluxes. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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19. Seasonal dynamics of marine protist communities in tidally mixed coastal waters
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Caracciolo, Mariarita, primary, Rigaut‐Jalabert, Fabienne, additional, Romac, Sarah, additional, Mahé, Frédéric, additional, Forsans, Samuel, additional, Gac, Jean‐Philippe, additional, Arsenieff, Laure, additional, Manno, Maxime, additional, Chaffron, Samuel, additional, Cariou, Thierry, additional, Hoebeke, Mark, additional, Bozec, Yann, additional, Goberville, Eric, additional, Le Gall, Florence, additional, Guilloux, Loïc, additional, Baudoux, Anne‐Claire, additional, de Vargas, Colomban, additional, Not, Fabrice, additional, Thiébaut, Eric, additional, Henry, Nicolas, additional, and Simon, Nathalie, additional
- Published
- 2022
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20. Seasonal temporal dynamics of marine protists communities in tidally mixed coastal waters
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Caracciolo, Mariarita, primary, Rigaut-Jalabert, Fabienne, additional, Romac, Sarah, additional, Mahe, Frederic, additional, Forsans, Samuel, additional, Gac, Jean-Philippe, additional, Arsenieff, Laure, additional, Manno, Maxime, additional, Chaffron, Samuel, additional, Cariou, Thierry, additional, Hoebeke, Mark, additional, Bozec, Yann, additional, Goberville, Eric, additional, Le Gall, Florence, additional, Guilloux, Loic, additional, Baudoux, Anne-Claire, additional, de Vargas, Colomban, additional, Not, Fabrice, additional, Thiebaut, Eric, additional, Henry, Nicolas, additional, and Simon, Nathalie, additional
- Published
- 2021
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21. Decadal Dynamics of the CO2 System and Associated Ocean Acidification in Coastal Ecosystems of the North East Atlantic Ocean
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Gac, Jean-Philippe, primary, Marrec, Pierre, additional, Cariou, Thierry, additional, Grosstefan, Emilie, additional, Macé, Éric, additional, Rimmelin-Maury, Peggy, additional, Vernet, Marc, additional, and Bozec, Yann, additional
- Published
- 2021
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22. Bi-decadal variability in physico-biogeochemical characteristics of temperate coastal ecosystems: from large-scale to local drivers
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Lheureux, Arnaud, Savoye, Nicolas, Del Amo, Yolanda, Goberville, Eric, Bozec, Yann, Breton, Elsa, Conan, Pascal, L'Helguen, Stephane, Mousseau, Laure, Raimbault, Patrick, Rimelin-maury, Peggy, Seuront, Laurent, Vuillemin, Renaud, Caparros, Jocelyne, Cariou, Thierry, Cordier, Marie-ange, Corre, Anne-marie, Costes, Laurence, Crispi, Olivier, Crouvoisier, Muriel, De Latour, Hortense De Lary, Derriennic, Herve, Devesa, Jeremy, Durozier, Maia, Ferreira, Sophie, Garcia, Nicole, Grossteffan, Emilie, Gueux, Aurore, Lafont, Michel, Lagadec, Veronique, Lecuyer, Eric, Leroux, Cedric, Mace, Eric, Maria, Eric, Mornet, Line, Nowaczyk, Antoine, Parra, Michel, Petit, Franck, David, Valérie, Lheureux, Arnaud, Savoye, Nicolas, Del Amo, Yolanda, Goberville, Eric, Bozec, Yann, Breton, Elsa, Conan, Pascal, L'Helguen, Stephane, Mousseau, Laure, Raimbault, Patrick, Rimelin-maury, Peggy, Seuront, Laurent, Vuillemin, Renaud, Caparros, Jocelyne, Cariou, Thierry, Cordier, Marie-ange, Corre, Anne-marie, Costes, Laurence, Crispi, Olivier, Crouvoisier, Muriel, De Latour, Hortense De Lary, Derriennic, Herve, Devesa, Jeremy, Durozier, Maia, Ferreira, Sophie, Garcia, Nicole, Grossteffan, Emilie, Gueux, Aurore, Lafont, Michel, Lagadec, Veronique, Lecuyer, Eric, Leroux, Cedric, Mace, Eric, Maria, Eric, Mornet, Line, Nowaczyk, Antoine, Parra, Michel, Petit, Franck, and David, Valérie
- Abstract
Coastal marine ecosystems, which play a crucial role in the biogeochemical and ecological functioning of the Earth, are highly sensitive to the combined effects of climate and human activities. Because of their location, coastal ecosystems are directly influenced by human activities, but it remains challenging to assess the spatial and temporal scales at which climate influences coastal ecosystems. We monitored 12 sampling stations, distributed in 8 ecosystems in France, over 2 decades for physico-biogeochemical parameters (temperature, salinity, concentrations of dissolved oxygen, nutrients and particulate material). The study encompasses a large diversity of temperate coastal ecosystems with respect to e.g. geomorphology, trophic status, tidal regime, river influence and turbidity. Time-series analysis coupled with standardised 3-mode principal component analyses, partial triadic analyses and correlations were used to assess bi-decadal variability and ecosystem trajectories, and to identify large-scale, regional and local drivers. Our results highlighted 2 abrupt changes in 2001 and 2005. The bi-decadal changes were related to changes in large-scale and regional climate, detected through proxies of temperature and atmospheric circulation, as well as through river discharge. Ecosystem trajectories tended to move towards an increase in temperature and salinity, and/or a decrease in chlorophyll a, nutrients and particulate matter. However, the magnitude of change, the year-to-year variability and the sensitivity to the 2001 and 2005 changes varied among the ecosystems. This study highlights the need for establishing long-term time series and combining data sets as well as undertaking multi-ecosystem and local studies to better understand the long-term variability of coastal ecosystems and its associated drivers.
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- 2021
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23. Cardinal Buoys: An Opportunity for the Study of Air-Sea CO 2 Fluxes in Coastal Ecosystems
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Gac, Jean-Philippe, Marrec, Pierre, Cariou, Thierry, Guillerm, Christophe, Macé, Éric, Vernet, Marc, Bozec, Yann, Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Graduate School of Oceanography [Narragansett], University of Rhode Island (URI), Division technique INSU/SDU (DTI), and Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
high-frequency ,air-sea CO 2 exchanges ,multi-annual ,ocean acidification ,tidal cycle ,buoy of opportunity ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography ,coastal ecosystems - Abstract
International audience; From 2015 to 2019 we installed high-frequency (HF) sea surface temperature (SST), salinity, fluorescence, dissolved oxygen (DO) and partial pressure of CO 2 (pCO 2) sensors on a cardinal buoy of opportunity (ASTAN) at a coastal site in the southern Western English Channel (sWEC) highly influenced by tidal cycles. The sensors were calibrated against bimonthly discrete measurements performed at two long-term time series stations near the buoy, thus providing a robust multi-annual HF dataset. The tidal transport of a previously unidentified coastal water mass and an offshore water mass strongly impacted the daily and seasonal variability of pCO 2 and pH. The maximum tidal variability associated to spring tides (>7 m) during phytoplankton blooms represented up to 40% of the pCO 2 annual signal at ASTAN. At the same time, the daily variability of 0.12 pH units associated to this tidal transport was 6 times larger than the annual acidification trend observed in the area. A frequency/time analysis of the HF signal revealed the presence of a day/night cycle in the tidal signal. The diel biological cycle accounted for 9% of the annual pCO 2 amplitude during spring phytoplankton blooms. The duration and intensity of the biologically productive periods, characterized by large inter-annual variability, were the main drivers of pCO 2 dynamics. HF monitoring enabled us to accurately constrain, for the first-time, annual estimates of air-sea CO 2 exchanges in the nearshore tidally-influenced waters of the sWEC, which were a weak source to the atmosphere at 0.51 mol CO 2 m −2 yr −1. This estimate, combined with previous studies, provided a full latitudinal representation of the WEC (from 48 • 75 N to 50 • 25 N) over multiple years for air-sea CO 2 fluxes in contrasted coastal ecosystems. The latitudinal comparison showed a clear gradient from a weak source of CO 2 in the tidal mixing region toward sinks of CO 2 in the stratified region with a seasonal thermal front separating these hydrographical provinces. In view of the fact that several continental shelf regions have been reported to have switched from sources to sinks of CO 2 in the last century, weak CO 2 sources in such tidal mixing areas could potentially become sinks of atmospheric CO 2 in coming decades.
- Published
- 2020
24. Satellite and In Situ Monitoring of Chl-a, Turbidity, and Total Suspended Matter in Coastal Waters: Experience of the Year 2017 along the French Coasts
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Gohin, Francis, Bryère, Philippe, Lefebvre, Alain, Sauriau, Pierre-guy, Savoye, Nicolas, Vantrepotte, Vincent, Bozec, Yann, Cariou, Thierry, Conan, Pascal, Coudray, Sylvain, Courtay, Gaelle, Françoise, Sylvaine, Goffart, Anne, Hernández Fariñas, Tania, Lemoine, Maud, Piraud, Aude, Raimbault, Patrick, Rétho, Michael, Gohin, Francis, Bryère, Philippe, Lefebvre, Alain, Sauriau, Pierre-guy, Savoye, Nicolas, Vantrepotte, Vincent, Bozec, Yann, Cariou, Thierry, Conan, Pascal, Coudray, Sylvain, Courtay, Gaelle, Françoise, Sylvaine, Goffart, Anne, Hernández Fariñas, Tania, Lemoine, Maud, Piraud, Aude, Raimbault, Patrick, and Rétho, Michael
- Abstract
The consistency of satellite and in situ time series of Chlorophyll-a (Chl-a), Turbidity and Total Suspended Matters (TSM) was investigated at 17 coastal stations throughout the year 2017. These stations covered different water types, from relatively clear waters in the Mediterranean Sea to moderately turbid regions in the Bay of Biscay and the southern bight of the North-Sea. Satellite retrievals were derived from MODIS/AQUA, VIIRS/NPP and OLCI-A/Sentinel-3 spectral reflectance. In situ data were obtained from the coastal phytoplankton networks SOMLIT (CNRS), REPHY (Ifremer) and associated networks. Satellite and in situ retrievals of the year 2017 were compared to the historical seasonal cycles and percentiles, 10 and 90, observed in situ. Regarding the sampling frequency in the Mediterranean Sea, a weekly in situ sampling allowed all major peaks in Chl-a caught from space to be recorded at sea, and, conversely, all in situ peaks were observed from space in a frequently cloud-free atmosphere. In waters of the Eastern English Channel, lower levels of Chl-a were observed, both in situ and from space, compared to the historical averages. However, despite a good overall agreement for low to moderate biomass, the satellite method, based on blue and green wavelengths, tends to provide elevated and variable Chl-a in a high biomass environment. Satellite-derived TSM and Turbidity were quite consistent with in situ measurements. Moreover, satellite retrievals of the water clarity parameters often showed a lower range of variability than their in situ counterparts did, being less scattered above and under the seasonal curves of percentiles 10 and 90
- Published
- 2020
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25. Biogeochemical 1D ERSEM Ecosystem Model Applied to Recent Carbon Dioxide and Nutrient Data in the North Sea
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Elkalay, Khalid, primary, Khalil, Karima, additional, Thomas, Helmuth, additional, Bozec, Yann, additional, Ruardij, Piet, additional, and de Baar, Hein, additional
- Published
- 2012
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26. Enhanced open ocean storage of C[O.sub.2] from shelf sea pumping
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Thomas, Helmuth, Bozec, Yann, Elkalay, Khalid, and de Baar, Hein J.W.
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North Sea -- Observations ,Carbon cycle (Biogeochemistry) -- Research -- Growth ,Carbon dioxide -- Research -- Growth ,Ocean-atmosphere interaction -- Observations -- Research ,Science and technology ,Company growth ,Observations ,Research ,Growth - Abstract
Seasonal field observations show that the North Sea, a Northern European shelf sea, is highly efficient in pumping carbon dioxide from the atmosphere to the North Atlantic Ocean. The bottom topography-controlled stratification separates production and respiration processes in the North Sea, causing a carbon dioxide increase in the subsurface layer that is ultimately exported to the North Atlantic Ocean. Globally extrapolated, the net uptake of carbon dioxide by coastal and marginal seas is about 20% of the world ocean's uptake of anthropogenic carbon dioxide, thus enhancing substantially the open ocean carbon dioxide storage., Coastal and marginal seas play a key role in the global carbon cycle by linking the terrestrial, oceanic, and atmospheric carbon reservoirs. They host strong biological activity and buffer terrestrial [...]
- Published
- 2004
27. Cardinal Buoys: An Opportunity for the Study of Air-Sea CO2 Fluxes in Coastal Ecosystems
- Author
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Gac, Jean-Philippe, primary, Marrec, Pierre, additional, Cariou, Thierry, additional, Guillerm, Christophe, additional, Macé, Éric, additional, Vernet, Marc, additional, and Bozec, Yann, additional
- Published
- 2020
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28. Satellite and In Situ Monitoring of Chl-a, Turbidity, and Total Suspended Matter in Coastal Waters: Experience of the Year 2017 along the French Coasts
- Author
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Gohin, Francis, primary, Bryère, Philippe, additional, Lefebvre, Alain, additional, Sauriau, Pierre-Guy, additional, Savoye, Nicolas, additional, Vantrepotte, Vincent, additional, Bozec, Yann, additional, Cariou, Thierry, additional, Conan, Pascal, additional, Coudray, Sylvain, additional, Courtay, Gaelle, additional, Françoise, Sylvaine, additional, Goffart, Anne, additional, Hernández Fariñas, Tania, additional, Lemoine, Maud, additional, Piraud, Aude, additional, Raimbault, Patrick, additional, and Rétho, Michael, additional
- Published
- 2020
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29. Winter weather controls net influx of atmospheric CO2 on the north-west European shelf
- Author
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Kitidis, Vassilis, primary, Shutler, Jamie D., additional, Ashton, Ian, additional, Warren, Mark, additional, Brown, Ian, additional, Findlay, Helen, additional, Hartman, Sue E., additional, Sanders, Richard, additional, Humphreys, Matthew, additional, Kivimäe, Caroline, additional, Greenwood, Naomi, additional, Hull, Tom, additional, Pearce, David, additional, McGrath, Triona, additional, Stewart, Brian M., additional, Walsham, Pamela, additional, McGovern, Evin, additional, Bozec, Yann, additional, Gac, Jean-Philippe, additional, van Heuven, Steven M. A. C., additional, Hoppema, Mario, additional, Schuster, Ute, additional, Johannessen, Truls, additional, Omar, Abdirahman, additional, Lauvset, Siv K., additional, Skjelvan, Ingunn, additional, Olsen, Are, additional, Steinhoff, Tobias, additional, Körtzinger, Arne, additional, Becker, Meike, additional, Lefevre, Nathalie, additional, Diverrès, Denis, additional, Gkritzalis, Thanos, additional, Cattrijsse, André, additional, Petersen, Wilhelm, additional, Voynova, Yoana G., additional, Chapron, Bertrand, additional, Grouazel, Antoine, additional, Land, Peter E., additional, Sharples, Jonathan, additional, and Nightingale, Philip D., additional
- Published
- 2019
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30. Iron and mixing affect biological carbon uptake in SOIREE and EisenEx, two Southern Ocean iron fertilisation experiments
- Author
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Bakker, Dorothee C.E., Bozec, Yann, Nightingale, Philip D., Goldson, Laura, Messias, Marie-José, de Baar, Hein J.W., Liddicoat, Malcolm, Skjelvan, Ingunn, Strass, Volker, and Watson, Andrew J.
- Published
- 2005
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31. The CO 2 system in a Redfield context during an iron enrichment experiment in the Southern Ocean
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Bozec, Yann, Bakker, Dorothee C.E., Hartmann, Carmen, Thomas, Helmuth, Bellerby, Richard G.J., Nightingale, Phil D., Riebesell, Ulf, Watson, Andrew J., and de Baar, Hein J.W.
- Published
- 2005
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32. The continental shelf pump for CO 2 in the North Sea—evidence from summer observation
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Bozec, Yann, Thomas, Helmuth, Elkalay, Khalid, and de Baar, Hein J.W.
- Published
- 2005
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33. National observation infrastructures in a European framework: COAST-HF A fixed-platform network along French coasts
- Author
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Charria, Guillaume, Schmitt, François, Artigas, Felipe, Berthebaud, Eric, Bonnat, Armel, Bourrin, François, Bozec, Yann, Cariou, Thierry, Claquin, Pascal, Conan, Pascal, Coppola, Laurent, Delalée, Franck, Facq, Jean-valery, Farcy, Patrick, Ferreira, Sophie, Garcia, Fabrice, Grisoni, Jean-michel, Jacqueline, Franck, Jacquet, Matthias, Lefebvre, Alain, Leredde, Yann, Le Roux, Jean-francois, Mas, Sébastien, Mostajir, Behzad, Mousseau, Laure, Pairaud, Ivane, Petton, Sebastien, Pouvreau, Stephane, Quemener, Loic, Ravel, Christophe, Raimbault, Patrick, Repecaud, Michel, Retho, Michael, Rimmelin-maury, Peggy, Riou, Philippe, Savoye, Nicolas, Souchu, Philippe, Verney, Romaric, Vuillemin, Renaud, Charria, Guillaume, Schmitt, François, Artigas, Felipe, Berthebaud, Eric, Bonnat, Armel, Bourrin, François, Bozec, Yann, Cariou, Thierry, Claquin, Pascal, Conan, Pascal, Coppola, Laurent, Delalée, Franck, Facq, Jean-valery, Farcy, Patrick, Ferreira, Sophie, Garcia, Fabrice, Grisoni, Jean-michel, Jacqueline, Franck, Jacquet, Matthias, Lefebvre, Alain, Leredde, Yann, Le Roux, Jean-francois, Mas, Sébastien, Mostajir, Behzad, Mousseau, Laure, Pairaud, Ivane, Petton, Sebastien, Pouvreau, Stephane, Quemener, Loic, Ravel, Christophe, Raimbault, Patrick, Repecaud, Michel, Retho, Michael, Rimmelin-maury, Peggy, Riou, Philippe, Savoye, Nicolas, Souchu, Philippe, Verney, Romaric, and Vuillemin, Renaud
- Abstract
COAST-HF (Coastal OceAn observing SysTem – High Frequency) is a French national observation network of the physical and biogeochemical dynamics of the coastal ocean, at high frequency. COAST-HF aims at understanding and analysing changes of contrasted coastal ecosystems at different temporal scales from extreme or intermittent high frequency (hour, day) events to multi-year trends. Since several years (from 2000 for the longest time series in Bay of Brest), the network extends along the English Channel, Atlantic and Mediterranean French coasts through 14 fixed platforms instrumented for the in situ high-frequency (≤ 1h) observations. Several French research institutes (IFREMER, CNRS, Marine Universities) are operating these systems. The organization of continuous multi-site in situ observations in a unique network of coastal observing platforms aims at operating an optimal system to pool efforts and initiatives (e.g. human resources for data management), to converge on best practices, and to support common measurement standards. On this basis, key scientific questions can be addressed such as eutrophication processes and effects on dissolved oxygen concentration and phytoplankton dynamics (i.e. in vivo fluorescence), or the influence of main river plumes on sediment dynamics. This coastal in situ observing network contributes for sustained high frequency and long-term observations in coastal environment based on Essential Ocean Variables. Ongoing technological and methodological developments are investigating the continuous observation of chemical (e.g. pCO2, pH) and biological features (e.g. phytoplankton diversity, primary production) that are being implemented in some of these platforms. COAST-HF is part of a national infrastructure (ILICO) and of the European Research Infrastructure project JERICO-NEXT. All those observations are connected to national, regional and European observatory networks and initiatives as the European Ocean Observing System.
- Published
- 2019
34. Winter weather controls net influx of atmospheric CO2 on the northwest European shelf
- Author
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Kitidis, Vassilis, Shutler, Jamie D., Ashton, Ian, Warren, Mark, Brown, Ian, Findlay, Helen, Hartman, Sue E., Sanders, Richard, Humphreys, Matthew, Kivimae, Caroline, Greenwood, Naomi, Hull, Tom, Pearce, David, Mcgrath, Triona, Stewart, Brian M., Walsham, Pamela, Mcgovern, Evin, Bozec, Yann, Gac, Jean-philippe, Van Heuven, Steven M. A. C., Hoppema, Mario, Schuster, Ute, Johannessen, Truls, Omar, Abdirahman, Lauvset, Siv K., Skjelvan, Ingunn, Olsen, Are, Steinhoff, Tobias, Koertzinger, Arne, Becker, Meike, Lefevre, Nathalie, Diverres, Denis, Gkritzalis, Thanos, Cattrijsse, Andre, Petersen, Wilhelm, Voynova, Yoana G., Chapron, Bertrand, Grouazel, Antoine, Land, Peter E., Sharples, Jonathan, Nightingale, Philip D., Kitidis, Vassilis, Shutler, Jamie D., Ashton, Ian, Warren, Mark, Brown, Ian, Findlay, Helen, Hartman, Sue E., Sanders, Richard, Humphreys, Matthew, Kivimae, Caroline, Greenwood, Naomi, Hull, Tom, Pearce, David, Mcgrath, Triona, Stewart, Brian M., Walsham, Pamela, Mcgovern, Evin, Bozec, Yann, Gac, Jean-philippe, Van Heuven, Steven M. A. C., Hoppema, Mario, Schuster, Ute, Johannessen, Truls, Omar, Abdirahman, Lauvset, Siv K., Skjelvan, Ingunn, Olsen, Are, Steinhoff, Tobias, Koertzinger, Arne, Becker, Meike, Lefevre, Nathalie, Diverres, Denis, Gkritzalis, Thanos, Cattrijsse, Andre, Petersen, Wilhelm, Voynova, Yoana G., Chapron, Bertrand, Grouazel, Antoine, Land, Peter E., Sharples, Jonathan, and Nightingale, Philip D.
- Abstract
Shelf seas play an important role in the global carbon cycle, absorbing atmospheric carbon dioxide (CO2) and exporting carbon (C) to the open ocean and sediments. The magnitude of these processes is poorly constrained, because observations are typically interpolated over multiple years. Here, we used 298500 observations of CO2 fugacity (fCO(2)) from a single year (2015), to estimate the net influx of atmospheric CO2 as 26.2 +/- 4.7 Tg C yr(-1) over the open NW European shelf. CO2 influx from the atmosphere was dominated by influx during winter as a consequence of high winds, despite a smaller, thermally-driven, air-sea fCO(2) gradient compared to the larger, biologically-driven summer gradient. In order to understand this climate regulation service, we constructed a carbon-budget supplemented by data from the literature, where the NW European shelf is treated as a box with carbon entering and leaving the box. This budget showed that net C-burial was a small sink of 1.3 +/- 3.1 Tg C yr(-1), while CO2 efflux from estuaries to the atmosphere, removed the majority of river C-inputs. In contrast, the input from the Baltic Sea likely contributes to net export via the continental shelf pump and advection (34.4 +/- 6.0 Tg C yr(-1)).
- Published
- 2019
- Full Text
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35. Winter weather controls net influx of atmospheric CO2 on the north-west European shelf
- Author
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Kitidis, Vassilis, Shutler, Jamie D., Ashton, Ian, Warren, Mark, Brown, Ian, Findlay, Helen, Hartman, Sue E., Sanders, Richard, Humphreys, Matthew, Kivimäe, Caroline, Greenwood, Naomi, Hull, Tom, Pearce, David, McGrath, Triona, Stewart, Brian M., Walsham, Pamela, McGovern, Evin, Bozec, Yann, Gac, Jean-Philippe, van Heuven, Steven M. A. C., Hoppema, Mario, Schuster, Ute, Johannessen, Truls, Omar, Abdirahman, Lauvset, Siv K., Skjelvan, Ingunn, Olsen, Are, Steinhoff, Tobias, Körtzinger, Arne, Becker, Meike, Lefevre, Nathalie, Diverrès, Denis, Gkritzalis, Thanos, Cattrijsse, André, Petersen, Wilhelm, Voynova, Yoana G., Chapron, Bertrand, Grouazel, Antoine, Land, Peter E., Sharples, Jonathan, Nightingale, Philip D., Kitidis, Vassilis, Shutler, Jamie D., Ashton, Ian, Warren, Mark, Brown, Ian, Findlay, Helen, Hartman, Sue E., Sanders, Richard, Humphreys, Matthew, Kivimäe, Caroline, Greenwood, Naomi, Hull, Tom, Pearce, David, McGrath, Triona, Stewart, Brian M., Walsham, Pamela, McGovern, Evin, Bozec, Yann, Gac, Jean-Philippe, van Heuven, Steven M. A. C., Hoppema, Mario, Schuster, Ute, Johannessen, Truls, Omar, Abdirahman, Lauvset, Siv K., Skjelvan, Ingunn, Olsen, Are, Steinhoff, Tobias, Körtzinger, Arne, Becker, Meike, Lefevre, Nathalie, Diverrès, Denis, Gkritzalis, Thanos, Cattrijsse, André, Petersen, Wilhelm, Voynova, Yoana G., Chapron, Bertrand, Grouazel, Antoine, Land, Peter E., Sharples, Jonathan, and Nightingale, Philip D.
- Abstract
Shelf seas play an important role in the global carbon cycle, absorbing atmospheric carbon dioxide (CO2) and exporting carbon (C) to the open ocean and sediments. The magnitude of these processes is poorly constrained, because observations are typically interpolated over multiple years. Here, we used 298500 observations of CO2 fugacity (fCO2) from a single year (2015), to estimate the net influx of atmospheric CO2 as 26.2 ± 4.7 Tg C yr−1 over the open NW European shelf. CO2 influx from the atmosphere was dominated by influx during winter as a consequence of high winds, despite a smaller, thermally-driven, air-sea fCO2 gradient compared to the larger, biologically-driven summer gradient. In order to understand this climate regulation service, we constructed a carbon-budget supplemented by data from the literature, where the NW European shelf is treated as a box with carbon entering and leaving the box. This budget showed that net C-burial was a small sink of 1.3 ± 3.1 Tg C yr−1, while CO2 efflux from estuaries to the atmosphere, removed the majority of river C-inputs. In contrast, the input from the Baltic Sea likely contributes to net export via the continental shelf pump and advection (34.4 ± 6.0 Tg C yr−1).
- Published
- 2019
36. Dynamics of particulate organic matter composition in coastal systems: forcing to the spatio-temporal variability at multi-systems scale
- Author
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Lienart , Camilla, Savoye , Nicolas, David , Valérie, Ramond , Pierre, Tress , Paco Rodriguez, Hanquiez , Vincent, Marieu , Vincent, Aubert , Fabien, Aubin , Sébastien, Bichon , Sabrina, Boinet , Christophe, Bourasseau , Line, Bozec , Yann, Bréret , Martine, Breton , Elsa, Caparros , Jocelyne, Cariou , Thierry, Claquin , Pascal, Conan , Pascal, Corre , Anne-Marie, Costes , Laurence, Crouvoisier , Muriel, Amo , Yolanda Del, Derriennic , Hervé, Dindinaud , François, Duran , Robert, Durozier , Maïa, Devesa , Jérémy, Ferreira , Sophie, Feunteun , Eric, Garcia , Nicole, Geslin , Sandrine, Grossteffan , Emilie, Gueux , Aurore, Guillaudeau , Julien, Guillou , Gaël, Jolly , Orianne, Lachaussée , Nicolas, Lafont , Michel, Lagadec , Véronique, Lamoureux , Jézabel, Lauga , Béatrice, Lebreton , Benoit, Lecuyer , Eric, Lehodey , Jean-Paul, Leroux , Cédric, L’Helguen , Stéphane, Macé , Eric, Maria , Eric, Mousseau , Laure, Nowaczyk , Antoine, Pineau , Philippe, Petit , Frank, Pujo-Pay , Mireille, Raimbault , Patrick, Rimmelin-Maury , Peggy, Rouaud , Vanessa, Sauriau , Pierre-Guy, Sultan , Emmanuelle, Susperregui , Nicolas, Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux ( IPREM ), and Université de Pau et des Pays de l'Adour ( UPPA ) -Centre National de la Recherche Scientifique ( CNRS )
- Subjects
[ SDE.MCG ] Environmental Sciences/Global Changes ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2018
37. A Nanoscale Study of Carbon and Nitrogen Fluxes in Mats of Purple Sulfur Bacteria: Implications for Carbon Cycling at the Surface of Coastal Sediments
- Author
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Hubas, Cédric, Boeuf, Dominique, Bruno Jesus, Thiney, Najet, Bozec, Yann, Jeanthon, Christian, Station de Biologie Marine de Concarneau, Direction générale déléguée à la Recherche, à l’Expertise, à la Valorisation et à l’Enseignement-Formation (DGD.REVE), Muséum national d'Histoire naturelle (MNHN)-Muséum national d'Histoire naturelle (MNHN), Muséum national d'Histoire naturelle (MNHN), Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Mer, molécules et santé EA 2160 (MMS), Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes (UN)-Université de Nantes (UN)-Le Mans Université (UM)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN), Université de Lisbonne, CHImie Marine (CHIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), MArine Phototrophic Prokaryotes (MAPP), Le Mans Université (UM)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, and Procaryotes Phototrophes Marins = MArine Phototrophic Prokaryotes (MAPP)
- Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,compound specific isotope analysis (CSIA) ,fatty acid methyl ester (FAME) ,NanoSIMS ,stable isotope probing (SIP) ,Thiohalocapsa ,microbial mats ,Chromatiaceae - Abstract
International audience; Mass blooms of purple sulfur bacteria growing seasonally on green stranded macroalgae have a major impact on the microbial composition and functionality of intertidal mats. To explore the active anoxygenic phototrophic community in purple bacterial mats from the Roscoff Aber Bay (Brittany, France), we conducted a combined approach including molecular and high-resolution secondary ion mass spectrometry (NanoSIMS) analyses. To investigate the dynamics of carbon and nitrogen assimilation activities, NanoSIMS was coupled with a stable isotope probing (SIP) experiment and a compound specific isotope analysis (CSIA) of fatty acid methyl ester (FAME). Sediment samples were incubated with 13 C-and/or 15 N-labeled acetate, pyruvate, bicarbonate and ammonium. NanoSIMS analysis of 13 C-and 15 N-incubated samples showed elevated incorporations of 13 C-and 15 N in the light and of 13 C-acetate in the dark into dense populations of spherical cells that unambiguously dominated the mats. These results confirmed CSIA data that ranked vaccenic acid, an unambiguous marker of purple sulfur bacteria, as the most strongly enriched in the light after 13 C-acetate amendment and indicated that acetate uptake, the most active in the mat, was not light-dependent. Analysis of DNA-and cDNA-derived pufM gene sequences revealed that Thiohalocapsa-related clones dominated both libraries and were the most photosynthetically active members of the mat samples. This study provides novel insights into the contribution of purple sulfur bacteria to the carbon cycle during their seasonal developments at the sediment surface in the intertidal zone.
- Published
- 2017
38. A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)
- Author
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Bakker, Dorothee C. E., Pfeil, Benjamin, Landa, Camilla S., Metzl, Nicolas, O'Brien, Kevin M., Olsen, Are, Smith, Karl M., Cosca, Catherine E., Harasawa, Sumiko, Jones, Stephen D., Nakaoka, Shin-Ichiro, Nojiri, Yukihiro, Schuster, Ute, Steinhoff, Tobias, Sweeney, Colm, Takahashi, Taro, Tilbrook, Bronte, Wada, Chisato, Wanninkhof, Rik H., Alin, Simone R., Balestrini, Carlos F., Barbero, Leticia, Bates, Nicholas R., Bianchi, Alejandro A., Bonou, Frédéric, Boutin, Jacqueline, Bozec, Yann, Burger, Eugene F., Cai, Wei-Jun, Castle, Robert D., Chen, Liqi, Chierici, Melissa, Currie, Kim, Evans, Wiley, Featherstone, Charles, Feely, Richard A., Fransson, Agneta, Goyet, Catherine, Greenwood, Naomi, Gregor, Luke, Hankin, Steven, Hardman-Mountford, Nick J., Harlay, Jérôme, Hauck, Judith, Hoppema, Mario, Humphreys, Matthew P., Hunt, Christopher W., Huss, Betty, Ibánhez, J. Severino P., Johannessen, Truls, Keeling, Ralph F., Kitidis, Vassilis, Körtzinger, Arne, Kozyr, Alex, Krasakopoulou, Evangelia, Kuwata, Akira, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lo Monaco, Claire, Manke, Ansley B., Mathis, Jeremy T., Merlivat, Liliane, Millero, Frank J., Monteiro, Pedro M. S., Munro, David R., Murata, Akihiko, Newberger, Timothy, Omar, Abdirahman M., Ono, Tsuneo, Paterson, Kristina, Pearce, David, Pierrot, Denis, Robbins, Lisa L., Saito, Shu, Salisbury, Joseph E., Schlitzer, Reiner, Schneider, Bernd, Schweitzer, Roland, Sieger, Rainer, Skjelvan, Ingunn, Sullivan, Kevin F., Sutherland, Stewart C., Sutton, Adrienne J., Tadokoro, Kazuaki, Telszewski, Maciej, Tuma, Matthias, van Heuven, Steven M. A. C., Vandemark, Doug, Ward, Brian, Watson, Andrew J., Xu, Suqing, Centre for Ocean and Atmospheric, school of Environmental Sciences, University of East Anglia [Norwich] (UEA), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], National Institute for Environmental Studies (NIES), University of Exeter, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Earth System Research Laboratory (ESRL), Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], CSIRO Marine and Atmospheric Research (CSIRO-MAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Departamento de Oceanografia, Servicio de Hidrografía Naval, Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School for Marine and Atmospheric Science (CIMAS), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], Ocean and Earth Science [Southampton], University of Southampton-National Oceanography Centre (NOC), Departmento de Engenharia de Produção, Centro de Estudos e Ensaios em Risco e Modelagem Ambiental, Universidade Federal de Pernambuco [Recife] (UFPE), Interactions et Processus au sein de la couche de Surface Océanique (IPSO), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), School of Marine Science and Policy, University of Delaware [Newark], The Third Institute of Oceanography SOA, Department of Marine Sciences, University of Gothenburg (GU), National Institute of Water and Atmospheric Research [Wellington] (NIWA), Norwegian Polar Institute, Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement (IMAGES-Espace DEV), UMR 228 Espace-Dev, Espace pour le développement, Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA), Centre for Environment, Fisheries and Aquaculture Science [Lowestoft] (CEFAS), Ocean Systems and Climate Group, CSIR, CSIRO Oceans and Atmosphere, CISRO Oceans and Atmosphere, University of Hawai‘i [Mānoa] (UHM), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Ocean Process Analysis Laboratory, University of New Hampshire (UNH), IRD Lago Sul, Brazil, University of California [San Diego] (UC San Diego), University of California (UC), Plymouth Marine Laboratory (PML), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, University of the Aegean, Tohoku National Fisheries Research Institute, National Fisheries Research Institute, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Geophysical Institute [Bergen] (GFI / BiU), Austral, Boréal et Carbone (ABC), Department of Ocean Sciences, University of Miami [Coral Gables], Department of Atmospheric and Oceanic Sciences [Boulder] (ATOC), University of Colorado [Boulder], Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), National Research Institute for Fisheries Science,Japan Fisheries Research and Education Agency, Université Paris Diderot - Paris 7 (UPD7), United States Geological Survey [Reston] (USGS), Japan Meteorological Agency (JMA), Ocean Process Analysis Laboratory (OPAL), Leibniz Institute for Baltic Sea Research Warnemünde, Weathertop consulting LLC, International Ocean Carbon Coordination Project, WCRP Joint planning staff, World Meteorological Organization (WCRP), Royal Netherlands Institute for Sea Research (NIOZ), AirSea Laboratory, School of Physics and Ryan Institute, National University of Ireland [Galway] (NUI Galway), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), University of Leeds, College of Life and Environmental Sciences [Exeter], Met Eireann, CSIRO Wealth from Oceans National Research Flagship and Antarctic Climate and Ecosystems CRC, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Bermuda Institute of Ocean Sciences (BIOS), Centre de résonance magnétique des systèmes biologiques (CRMSB), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), CHImie Marine (CHIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Department of Chemistry, Computer Science Department (UBC-Computer Science), University of British Columbia (UBC), Laboratoire de Biophysique et Dynamique des Systèmes Intégrés (BDSI), Université de Perpignan Via Domitia (UPVD), Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, Department of Oceanography (DOCEAN), Federal University of Pernambuco [Recife], University of California, Plymouth Marine Laboratory, Christian-Albrechts-Universität zu Kiel (CAU), Department of Civil and Environmental Engineering [Berkeley] (CEE), University of California [Berkeley], University of California-University of California, University of Wisconsin Whitewater, National Institute of Advanced Industrial Science and Technology (AIST), Department of Computer Science [Royal Holloway], Royal Holloway [University of London] (RHUL), Cooperative Institute for Marine and Atmospheric Studies (CIMAS), Max Planck Institute for Chemical Ecology, School of Physics [NUI Galway], School of Environmental Sciences [Norwich], College of Life and Environmental Sciences, University of Exeter, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Institute of Arctic and Alpine Research (INSTAAR), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), University of California [Berkeley] (UC Berkeley), and University of California (UC)-University of California (UC)
- Subjects
lcsh:GE1-350 ,lcsh:Geology ,[SDU]Sciences of the Universe [physics] ,lcsh:QE1-996.5 ,[SDU.STU]Sciences of the Universe [physics]/Earth Sciences ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,lcsh:Environmental sciences ,ComputingMilieux_MISCELLANEOUS ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography - Abstract
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770. The gridded products are available here: doi:10.3334/CDIAC/OTG.SOCAT_V3_GRID.
- Published
- 2016
39. Seasonal and long-term changes in elemental concentrations and ratios of marine particulate organic matter
- Author
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Talarmin, Agathe, Lomas, Michael W., Bozec, Yann, Savoye, Nicolas, Frigstad, Helene, Karl, David M., Martiny, Adam C., Université Pierre et Marie Curie - Paris 6 (UPMC), Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
POM ,ecological stoichiometry ,Redfield ratio ,[SDU]Sciences of the Universe [physics] ,time series - Abstract
International audience; What is the temporal variability of the elemental stoichiometry of marine microbial communities across ocean regions? To answer this question, we present an analysis of environmental conditions, particulate organic carbon, nitrogen, and phosphorus concentrations and their ratios across 20 time series (3-25 years duration) representing estuarine, coastal, and open ocean environments. The majority of stations showed significant seasonal oscillations in particulate organic elemental concentrations and ratios. However, shorter-term changes contributed most to overall variance in particulate organic matter concentrations and ratios. We found a correlation between the seasonal oscillations of environmental conditions and elemental ratios at many coastal but not open ocean and estuarine stations. C:N peaked near the seasonal temperature minimum and nutrient maximum, but some stations showed other seasonal links. C:N ratios declined with time over the respective observation periods at all open ocean and estuarine stations as well as at five coastal station but increased at the nine other coastal stations. C:P (but not N:P) declined slightly at Bermuda Atlantic Time-series Study but showed large significant increases at Hawaii Ocean Time-series and Arendal stations. The relationships between long-term changes in environmental conditions and particulate organic matter concentrations or ratios were ambiguous, but interactions between changes in temperature and nutrient availability were important. Overall, our analysis demonstrates significant changes in elemental ratios at long-term and seasonal time scales across regions, but the underlying mechanisms are currently unclear. Thus, we need to better understand the detailed mechanisms driving the elemental composition of marine microbial ecosystems in order to predict how oceans will respond to environmental changes.
- Published
- 2016
40. Global carbon budget 2014
- Author
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Le Quéré, Corinne, Moriarty, Róisín, Andrew, Robbie M., Peters, Glen P., Ciais, Philippe, Friedlingstein, Pierre, Stephen D., Jones, Sitch, Stephen, Tans, Pieter, Arneth, Almuth, Boden, Thomas A., Bopp, Laurent, Bozec, Yann, Canadell, Josep G., Chini, Louise P., Chevallier, Frédéric, Cosca, Catherine E., Harris, Ian C., Hoppema, Mario, Houghton, Richard A., House, Joanna I., Jain, Atul K., Johannessen, Truls, Kato, Etsushi, Keeling, Ralph F., Kitidis, Vassilis, Klein Goldewijk, K., Koven, Charles, Landa, Camilla S., Landschützer, Peter, Lenton, Andrew, Lima, Ivan D., Marland, Gregg, Mathis, Jeremy T., Metzl, Nicolas, Nojiri, Yukihiro, Olsen, Are, Ono, Tsuneo, Peng, Shushi, Peters, Wouter, Pfeil, Benjamin, Poulter, Benjamin, Raupach, Michael R., Regnier, Pierre, Rödenbeck, Christian, Saito, Shu, Salisbury, Joseph E., Schuster, Ute, Schwinger, Jörg, Séférian, Roland, Segschneider, Joachim, Steinhoff, Tobias, Stocker, Benjamin, Sutton, Adrienne J., Takahashi, Taro, Tilbrook, Bronte, van der Werf, Guido R., Viovy, Nicolas, Wang, Yingping, Wanninkhof, Rik, Wiltshire, Andy, and Zeng, Ning
- Abstract
Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover-change (some including nitrogen–carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2004–2013), EFF was 8.9 ± 0.4 GtC yr−1, ELUC 0.9 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.9 ± 0.8 GtC yr−1. For year 2013 alone, EFF grew to 9.9 ± 0.5 GtC yr−1, 2.3% above 2012, continuing the growth trend in these emissions, ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 5.4 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2013, reflecting a steady increase in EFF and smaller and opposite changes between SOCEAN and SLAND compared to the past decade (2004–2013). The global atmospheric CO2 concentration reached 395.31 ± 0.10 ppm averaged over 2013. We estimate that EFF will increase by 2.5% (1.3–3.5%) to 10.1 ± 0.6 GtC in 2014 (37.0 ± 2.2 GtCO2 yr−1), 65% above emissions in 1990, based on projections of world gross domestic product and recent changes in the carbon intensity of the global economy. From this projection of EFF and assumed constant ELUC for 2014, cumulative emissions of CO2 will reach about 545 ± 55 GtC (2000 ± 200 GtCO2) for 1870–2014, about 75% from EFF and 25% from ELUC. This paper documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this living data set (Le Quéré et al., 2013, 2014). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2014)., Earth System Science Data, 7 (1), ISSN:1866-3516, ISSN:1866-3508
- Published
- 2015
41. SOMLIT-Brest / MAREL-Iroise : des séries d’observation physico-chimiques au service de la recherche scientifique
- Author
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L'Helguen, Stéphane, Rimmelin-maury, Peggy, Repecaud, Michel, Quemener, Loic, Beaumont, L., Grosssteffan, Emilie, Tréguer, Paul, Bozec, Yann, L'Helguen, Stéphane, Rimmelin-maury, Peggy, Repecaud, Michel, Quemener, Loic, Beaumont, L., Grosssteffan, Emilie, Tréguer, Paul, and Bozec, Yann
- Abstract
Les écosystèmes côtiers sont soumis à de multiples forçages physiques et chimiques qui agissent à des échelles de temps très différentes. Pour décrire et prédire l’impact de ces forçages sur les écosystèmes, il est impératif de mesurer à long terme les caractéristiques physiques, chimiques et biologiques des eaux côtières. Depuis plus de 15 ans, un partenariat réunit l’IUEM/UBO, l’IFREMER et l'INSU pour assurer le suivi régulier et à long terme de la physico-chimie des eaux côtières à l’interface de la rade de Brest et de la mer d’Iroise (site de Ste Anne du Portzic, 48°21’60 N, 4°33’04 W ). Ce suivi repose sur une stratégie combinée de mesures à basse fréquence (série SOMLIT-Brest - Service d’Observation en Milieu LITtoral) et de mesures à haute fréquence (série MAREL-Iroise - Mesure Automatisée en Réseau de l’Environnement Littoral).
- Published
- 2016
42. Carbon exchange between a shelf sea and the ocean: The Hebrides Shelf, west of Scotland
- Author
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Painter, Stuart, Hartman, Sue, Kivimae, Caroline, Salt, Lesley, Clargo, Nicola, Bozec, Yann, Daniels, Chris J., Jones, Sam, Hemsley, Victoria S., Munns, Lucie, Allen, Stephanie R., Painter, Stuart, Hartman, Sue, Kivimae, Caroline, Salt, Lesley, Clargo, Nicola, Bozec, Yann, Daniels, Chris J., Jones, Sam, Hemsley, Victoria S., Munns, Lucie, and Allen, Stephanie R.
- Abstract
Global mass balance calculations indicate the majority of particulate organic carbon (POC) exported from shelf seas is transferred via downslope exchange processes. Here we demonstrate the downslope flux of POC from the Hebrides Shelf is approximately 3-to-5-fold larger per unit length/area than the global mean. To reach this conclusion we quantified the offshore transport of particulate and dissolved carbon fractions via the “Ekman Drain”, a strong downwelling feature of the NW European Shelf circulation, and subsequently compared these fluxes to simultaneous regional air-sea CO2 fluxes and on-shore wind-driven Ekman fluxes to constrain the carbon dynamics of this shelf. Along the shelf break we estimate a mean offshelf total carbon (dissolved + particulate) flux of 4.2 tonnes C m−1 d−1 compared to an onshelf flux of 4.5 tonnes C m−1 d−1. Organic carbon represented 3.3% of the onshelf carbon flux but 6.4% of the offshelf flux indicating net organic carbon export. Dissolved organic carbon represented 95% and POC 5% of the exported organic carbon pool. When scaled along the shelf break the total offshelf POC flux (0.007 Tg C d−1) was found to be three times larger than the regional air-sea CO2 ingassing flux (0.0021 Tg C d−1), an order of magnitude larger than the particulate inorganic carbon flux (0.0003 Tg C d−1) but far smaller than the DIC (2.03 Tg C d−1) or DOC (0.13 Tg C d−1) fluxes. Significant spatial heterogeneity in the Ekman drain transport confirms that offshelf carbon fluxes via this mechanism are also spatially heterogeneous. This article is protected by copyright. All rights reserved.
- Published
- 2016
43. Process studies of the biological pump of carbon dioxide in the North Sea and Southern Ocean
- Author
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Bozec, Yann, Bozec, Yann, Bozec, Yann, and Bozec, Yann
- Abstract
Sinds 1960 is de wereldbevolking gegroeid van 3 miljard tot nu meer dan 6 miljard mensen. Het verbruik van fossiele brandstoffen (aardolie, aardgas, steenkool) is nog sneller gestegen van 2 Petagram koolstof per jaar in 1960 tot nu bijna 7 Petagram koolstof per jaar (1 Petagram C = PgC = 1015 gram C). .... Zie: Samenvatting
- Published
- 2005
44. Global carbon budget 2014
- Author
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Le Quéré, Corinne, Moriarty, Róisín, Andrew, Robbie M., Peters, Glen P., Ciais, Philippe, Friedlingstein, Pierre, Jones, Stephen D., Sitch, Stephen, Tans, Pieter P., Arneth, Almut, Boden, Thomas A., Bopp, Laurent, Bozec, Yann, Canadell, Josep G., Chevallier, Frédéric, Cosca, Catherine E., Harris, Ian, Hoppema, Mario, Houghton, Richard A., House, J., Jain, Atul K., Johannessen, Truls, Kato, Etsushi, Keeling, Ralph F., Kitidis, Vassilis, Klein Goldewijk, Kees, Koven, C., Landa, Camilla S., Landschützer, Peter, Lenton, Andrew, Lima, Ivan D., Marland, Gregg, Mathis, Jeremy T., Metzl, Nicolas, Nojiri, Yukihiro, Olsen, Are, Ono, Tsuneo, Peters, Wouter, Pfeil, Benjamin, Poulter, Benjamin, Raupach, M. R., Regnier, P., Rödenbeck, Christian, Saito, Shu, Salisbury, Joseph E., Schuster, Ute, Schwinger, Jörg, Séférian, Roland, Segschneider, Joachim, Steinhoff, Tobias, Stocker, Benjamin D., Sutton, Adrienne J., Takahashi, Taro, Tilbrook, Bronte, Van Der Werf, Guido R., Viovy, Nicolas, Wang, Y.-P., Wanninkhof, Rik H., Wiltshire, Andrew J., Zeng, N., Lefèvre, Nathalie, Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), Tyndall Centre for Climate Change Research and School of Environmental Sciences, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), University of Exeter, College of Life and Environmental Sciences [Exeter], NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Division technique INSU/SDU (DTI), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Climatic Research Unit, University of East Anglia, Department of Bentho-pelagic processes, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Geophysical Institute [Bergen], University of Bergen (UIB), The Institute of Applied Energy (IAE), Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, PBL Netherlands Environmental Assessment Agency, Helmholtz Centre for Environmental Research (UFZ), Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich)-Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Appalachian State University, University, Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN), National Institute of Advanced Industrial Science and Technology (AIST), Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], Université libre de Bruxelles (ULB), Max-Planck-Institut für Biogeochemie (MPI-BGC), Japan Meteorological Agency (JMA), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO), University of Bergen (UIB)-University of Bergen (UIB), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Met Office Hadley Centre (MOHC), United Kingdom Met Office [Exeter], Department of Atmospheric and Oceanic Science [College Park] (AOSC), University of Maryland [College Park], University of Maryland System-University of Maryland System, and Austral, Boréal et Carbone (ABC)
- Subjects
010504 meteorology & atmospheric sciences ,13. Climate action ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,15. Life on land ,010501 environmental sciences ,7. Clean energy ,01 natural sciences ,ComputingMilieux_MISCELLANEOUS ,0105 earth and related environmental sciences - Abstract
Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe datasets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics and cement production data, respectively, while emissions from Land-Use Change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent Dynamic Global Vegetation Models forced by observed climate, CO2 and land cover change (some including nitrogen-carbon interactions). We compare the variability and mean land and ocean fluxes to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2004–2013), EFF was 8.9 ± 0.4 GtC yr−1, ELUC 0.9 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.9 ± 0.8 GtC yr−1. For year 2013 alone, EFF grew to 9.9 ± 0.5 GtC yr−1, 2.3% above 2012, contining the growth trend in these emissions. ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 5.4 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1 and SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2013 reflecting a steady increase in EFF and smaller and opposite changes between SOCEAN and SLAND compared to the past decade (2004–2013). The global atmospheric CO2 concentration reached 395.31 ± 0.10 ppm averaged over 2013. We estimate that EFF will increase by 2.5% (1.3–3.5%) to 10.1 ± 0.6 GtC in 2014 (37.0 ± 2.2 GtCO2 yr−1), 65% above emissions in 1990, based on projections of World Gross Domestic Product and recent changes in the carbon intensity of the economy. From this projection of EFF and assumed constant ELUC for 2014, cumulative emissions of CO2 will reach about 545 ± 55 GtC (2000 ± 200 GtCO2) for 1870–2014, about 75% from EFF and 25% from ELUC. This paper documents changes in the methods and datasets used in this new carbon budget compared with previous publications of this living dataset (Le Quéré et al., 2013, 2014). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2014). Italic font highlights significant methodological changes and results compared to the Le Quéré et al. (2014) manuscript that accompanies the previous version of this living data.
- Published
- 2014
45. A multi-decade record of high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)
- Author
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Bakker, Dorothee C. E., primary, Pfeil, Benjamin, additional, Landa, Camilla S., additional, Metzl, Nicolas, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Smith, Karl, additional, Cosca, Cathy, additional, Harasawa, Sumiko, additional, Jones, Stephen D., additional, Nakaoka, Shin-ichiro, additional, Nojiri, Yukihiro, additional, Schuster, Ute, additional, Steinhoff, Tobias, additional, Sweeney, Colm, additional, Takahashi, Taro, additional, Tilbrook, Bronte, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Alin, Simone R., additional, Balestrini, Carlos F., additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Bianchi, Alejandro A., additional, Bonou, Frédéric, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Burger, Eugene F., additional, Cai, Wei-Jun, additional, Castle, Robert D., additional, Chen, Liqi, additional, Chierici, Melissa, additional, Currie, Kim, additional, Evans, Wiley, additional, Featherstone, Charles, additional, Feely, Richard A., additional, Fransson, Agneta, additional, Goyet, Catherine, additional, Greenwood, Naomi, additional, Gregor, Luke, additional, Hankin, Steven, additional, Hardman-Mountford, Nick J., additional, Harlay, Jérôme, additional, Hauck, Judith, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Hunt, Christopher W., additional, Huss, Betty, additional, Ibánhez, J. Severino P., additional, Johannessen, Truls, additional, Keeling, Ralph, additional, Kitidis, Vassilis, additional, Körtzinger, Arne, additional, Kozyr, Alex, additional, Krasakopoulou, Evangelia, additional, Kuwata, Akira, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lo Monaco, Claire, additional, Manke, Ansley, additional, Mathis, Jeremy T., additional, Merlivat, Liliane, additional, Millero, Frank J., additional, Monteiro, Pedro M. S., additional, Munro, David R., additional, Murata, Akihiko, additional, Newberger, Timothy, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paterson, Kristina, additional, Pearce, David, additional, Pierrot, Denis, additional, Robbins, Lisa L., additional, Saito, Shu, additional, Salisbury, Joe, additional, Schlitzer, Reiner, additional, Schneider, Bernd, additional, Schweitzer, Roland, additional, Sieger, Rainer, additional, Skjelvan, Ingunn, additional, Sullivan, Kevin F., additional, Sutherland, Stewart C., additional, Sutton, Adrienne J., additional, Tadokoro, Kazuaki, additional, Telszewski, Maciej, additional, Tuma, Matthias, additional, van Heuven, Steven M. A. C., additional, Vandemark, Doug, additional, Ward, Brian, additional, Watson, Andrew J., additional, and Xu, Suqing, additional
- Published
- 2016
- Full Text
- View/download PDF
46. Carbon exchange between a shelf sea and the ocean: The Hebrides Shelf, west of Scotland
- Author
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Painter, Stuart C., primary, Hartman, Susan E., additional, Kivimäe, Caroline, additional, Salt, Lesley A., additional, Clargo, Nicola M., additional, Bozec, Yann, additional, Daniels, Chris J., additional, Jones, Sam C., additional, Hemsley, Victoria S., additional, Munns, Lucie R., additional, and Allen, Stephanie R., additional
- Published
- 2016
- Full Text
- View/download PDF
47. A multi-decade record of high-quality fCO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)
- Author
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Bakker, Dorothee C. E., primary, Pfeil, Benjamin, additional, Landa, Camilla S., additional, Metzl, Nicolas, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Smith, Karl, additional, Cosca, Cathy, additional, Harasawa, Sumiko, additional, Jones, Stephen D., additional, Nakaoka, Shin-ichiro, additional, Nojiri, Yukihiro, additional, Schuster, Ute, additional, Steinhoff, Tobias, additional, Sweeney, Colm, additional, Takahashi, Taro, additional, Tilbrook, Bronte, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Alin, Simone R., additional, Balestrini, Carlos F., additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Bianchi, Alejandro A., additional, Bonou, Frédéric, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Burger, Eugene F., additional, Cai, Wei-Jun, additional, Castle, Robert D., additional, Chen, Liqi, additional, Chierici, Melissa, additional, Currie, Kim, additional, Evans, Wiley, additional, Featherstone, Charles, additional, Feely, Richard A., additional, Fransson, Agneta, additional, Goyet, Catherine, additional, Greenwood, Naomi, additional, Gregor, Luke, additional, Hankin, Steven, additional, Hardman-Mountford, Nick J., additional, Harlay, Jérôme, additional, Hauck, Judith, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Hunt, Christopher W., additional, Huss, Betty, additional, Ibánhez, J. Severino P., additional, Johannessen, Truls, additional, Keeling, Ralph, additional, Kitidis, Vassilis, additional, Körtzinger, Arne, additional, Kozyr, Alex, additional, Krasakopoulou, Evangelia, additional, Kuwata, Akira, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lo Monaco, Claire, additional, Manke, Ansley, additional, Mathis, Jeremy T., additional, Merlivat, Liliane, additional, Millero, Frank J., additional, Monteiro, Pedro M. S., additional, Munro, David R., additional, Murata, Akihiko, additional, Newberger, Timothy, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paterson, Kristina, additional, Pearce, David, additional, Pierrot, Denis, additional, Robbins, Lisa L., additional, Saito, Shu, additional, Salisbury, Joe, additional, Schlitzer, Reiner, additional, Schneider, Bernd, additional, Schweitzer, Roland, additional, Sieger, Rainer, additional, Skjelvan, Ingunn, additional, Sullivan, Kevin F., additional, Sutherland, Stewart C., additional, Sutton, Adrienne J., additional, Tadokoro, Kazuaki, additional, Telszewski, Maciej, additional, Tuma, Matthias, additional, Van Heuven, Steven M. A. C., additional, Vandemark, Doug, additional, Ward, Brian, additional, Watson, Andrew J., additional, and Xu, Suqing, additional
- Published
- 2016
- Full Text
- View/download PDF
48. The internal consistency of the North Sea carbonate system
- Author
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Salt, Lesley A., primary, Thomas, Helmuth, additional, Bozec, Yann, additional, Borges, Alberto V., additional, and de Baar, Hein J.W., additional
- Published
- 2016
- Full Text
- View/download PDF
49. Variability of North Sea pH and CO2 in response to North Atlantic Oscillation forcing
- Author
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Salt, Lesley A., Thomas, Helmuth, Prowe, A.E. Friederike, Borges, Alberto V., Bozec, Yann, de Baar, Hein J. W., Department of Oceanography [Halifax] (DO), Dalhousie University [Halifax], CHImie Marine (CHIM), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Research Council for Earth and Life Sciences (ALW) of the Netherlands Organization for Scientific Research (NWO), CARBOOCEAN, Kiel Cluster of Excellence ``The Future Ocean', Centre for Ocean Life, a VKR centre of excellence, and Villum foundation
- Subjects
pH ,carbon ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,NAO ,North Sea - Abstract
International audience; High biological activity causes a distinct seasonality of surface water pH in the North Sea, which is a strong sink for atmospheric CO2 via an effective shelf pump. The intimate connection between the North Sea and the North Atlantic Ocean suggests that the variability of the CO2 system of the North Atlantic Ocean may, in part, be responsible for the observed variability of pH and CO2 in the North Sea. In this work, we demonstrate the role of the North Atlantic Oscillation (NAO), the dominant climate mode for the North Atlantic, in governing this variability. Based on three extensive observational records covering the relevant levels of the NAO index, we provide evidence that the North Sea pH and CO2 system strongly responds to external and internal expressions of the NAO. Under positive NAO, the higher rates of inflow of water from the North Atlantic Ocean and the Baltic outflow lead to a strengthened north-south biogeochemical divide. The limited mixing between the north and south leads to a steeper gradient in pH and partial pressure of CO2 (pCO(2)) between the two regions in the productive period. This is exacerbated further when coinciding with higher sea surface temperature, which concentrates the net community production in the north through shallower stratification. These effects can be obscured by changing properties of the constituent North Sea water masses, which are also influenced by NAO. Our results highlight the importance of examining interannual trends in the North Sea CO2 system with consideration of the NAO state.
- Published
- 2013
50. Large and local-scale influences on physical and chemical characteristics of coastal waters of Western Europe during winter
- Author
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Treguer, Paul, Goberville, Eric, Barrier, Nicolas, L'Helguen, Stephane, Morin, Pascal, Bozec, Yann, Rimmelin-maury, Peggy, Czamanski, Marie, Grossteffan, Emilie, Cariou, Thierry, Repecaud, Michel, Quemener, Loic, Treguer, Paul, Goberville, Eric, Barrier, Nicolas, L'Helguen, Stephane, Morin, Pascal, Bozec, Yann, Rimmelin-maury, Peggy, Czamanski, Marie, Grossteffan, Emilie, Cariou, Thierry, Repecaud, Michel, and Quemener, Loic
- Abstract
There is now a strong scientific consensus that coastal marine systems of Western Europe are highly sensitive to the combined effects of natural climate variability and anthropogenic climate change. However, it still remains challenging to assess the spatial and temporal scales at which climate influence operates. While large-scale hydro-climatic indices, such as the North Atlantic Oscillation (NAO) or the East Atlantic Pattern (EAP) and the weather regimes such as the Atlantic Ridge (AR), are known to be relevant predictors of physical processes, changes in coastal waters can also be related to local hydro-meteorological and geochemical forcing. Here, we study the temporal variability of physical and chemical characteristics of coastal waters located at about 48°N over the period 1998-2013 using (1) sea surface temperature, (2) sea surface salinity and (3) nutrient concentration observations for two coastal sites located at the outlet of the Bay of Brest and off Roscoff, (4) river discharges of the major tributaries close to these two sites and (5) regional and local precipitation data over the region of interest. Focusing on the winter months, we characterize the physical and chemical variability of these coastal waters and document changes in both precipitation and river runoffs. Our study reveals that variability in coastal waters is connected to the large-scale North Atlantic atmospheric circulation but is also partly explained by local river influences. Indeed, while the NAO is strongly related to changes in sea surface temperature at the Brest and Roscoff sites, the EAP and the AR have a major influence on precipitations, which in turn modulate river discharges that impact sea surface salinity at the scale of the two coastal stations.
- Published
- 2014
- Full Text
- View/download PDF
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