Cécile Guieu, Sophie Bonnet, Fatima Abadou, Samir Alliouane, Sophie Arnaud-Haond, Verónica Arnone, Anne-Claire Baudoux, Chloé Baumas, Lucie Beillard, Mar Benavides, Ilana Berman-Frank, Nagib Bhairy, Estelle Bigeard, Cédric Boulart, Pascale Bouruet-Aubertot, Philip Boyd, Matthieu Bressac, Mercedes Camps, Samuel Chaffron, Valérie Chavagnac, Servanne Chevaillier, Julien Collot, Yannis Cuypers, Guillaume de Liège, Emmanuel de Saint Léger, Colomban de Vargas, Karine Desboeufs, Marie-Maëlle Desgranges, Christine Destrigneville, Céline Dimier, Wendy Diruit, Delphine Dissard, Jean-Francois Doussin, Aurélie Dufour, Gabriel Dulaquais, Jean-Michel Fernandez, Anaïs Feron, Mathilde Ferrieux, Alba Filella, Heather Forrer, Pierre Fourrier, Jean-Philippe Gac, Martin Gachenot, Cécile Gaimoz, Laurence Garczarek, Frédéric Gazeau, Aridane González, David González‐Santana, Thomas Gorgues, Nicolas Grima, Jean-Michel Grisoni, Olivier Grosso, Catherine Guigue, Jérémie Habasque, Lars-Eric Heimbürger-Boavida, Catherine Jeandel, Christian Jeanthon, Emilie Journet, Angela Knapp, François Lacan, Florence Le Gall, Frédéric Le Moigne, Pierre Le Moal, Karine Leblanc, Nathalie Leblond, Anne Lebourges-Dhaussy, Jade Leconte, Dominique Lefèvre, Fabien Lombard, Anne Lorrain, Caroline Lory, Christophe Maes, Léo Mahieu, Dominique Marie, Camille Mazoyer, Christophe Menkes, Vincent Michoud, Maryline Montanes, Fabrice Not, Sandra Nunige, Francesco Paparella, Martin Patriat, Bernard Pelletier, Anne Petrenko, Hélène Planquette, David Point, Gemma Portlock, Ian Probert, Elvira Pulido-Villena, Morgane Ratin, Lavenia Ratnarajah, Ricardo Riso, Andrea Rizzo, Pascal Salaun, Géraldine Sarthou, Catherine Schmechtig, Karine Sellegri, Nathalie Simon, Alessandro Tagliabue, Vincent Taillandier, Christian Tamburini, Marc Tedetti, Fanny Thibon, Chloé Tilliette, Natalia Torres-Rodríguez, Sylvain Triquet, Julia Uitz, France van Wambeke, Daniel Vaulot, Nathalie Vigier, Marion Vilain, Maria Helena Vorrath, Lucas Weppe, Hannah Whitby.
OTHER
Abstract
The objective of the TONGA oceanographic expedition was to study the control of productivity and carbon sequestration by micronutrients of shallow hydrothermal origin in the Western Tropical South Pacific (WTSP) Ocean. The 37-day oceanographic survey took place on board the R/V L’Atalante in 2019 between Oct. 31 to Dec. 6 (Nouméa-Nouméa). Over a large area of the WTSP the team acquired numerous results on both the entire water column (up to the sediment) and the atmosphere. Specific task are represented on figure 1: (task 1) to characterize chemically and optically shallow hydrothermal fluids and to compare the source from below (shallow hydrothermal fluids) with the source from above (atmospheric deposition); (task 2) to quantify the dynamical dispersion of the fluids at small and regional scale; (task 3) to investigate the impact of the shallow hydrothermal sources on the biological activity and diversity, and the feedback to the atmosphere via the oceanic emissions of primary and secondary aerosols. (Task 4) to communicate about the campaign (see for example our Tweeter account (https://twitter.com/tongaproject) and the movie (26’) both in French (https://www.youtube.com/watch?v=e5kAd0i6Dck) and English (https://www.youtube.com/watch?v=UeABf-cVR-k). A long west to east (up to the blue waters of the gyre) transect allowed to characterize the different biogeochemical provinces crossed and a focus in the region of the Lau Basin allowed to investigate the impact of shallow hydrothermal sources. A series of short and long stations allowed to fully characterize the stocks and the fluxes in the different provinces. Short-term (up to 10 days) processes studies have been conducted (drifting moorings and minicosms experiments). Part of these results will feed into important modeling work. A fixed mooring line launched at the end of the campaign and recovered in Nov. 2020 as well as the 7 ARGO floats and 20 drifting buoys that were dropped during the campaign provide a broader temporal context of the acquisitions done during the campaign. An important focus of the campaign was the trace metal characterization of the entire water column. For this, TONGA has been labeled by the international program GEOTRACES (https://www.geotraces.org/). The impact on biological communities of fluids is supported by the international IMBER program (https://imber.info/). The TONGA project is also part of the LEFE program (funding by LEFE-CYBER and LEFE-GMMC), the ANR (Appel à projets génériques) and the Fondation A-MIDeX of the Aix-Marseille Université.
Alexandre Mignot, Hervé Claustre, Gianpiero Cossarini, Fabrizio d'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaëlle Sauzède, Vincent Taillandier, Anna Teruzzi.
Biogeosciences (2023).
ART
Abstract
Abstract. Numerical models of ocean biogeochemistry are becoming the major tools used to detect and predict the impact of climate change on marine resources and to monitor ocean health. However, with the continuous improvement of model structure and spatial resolution, incorporation of these additional degrees of freedom into fidelity assessment has become increasingly challenging. Here, we propose a new method to provide information on the model predictive skill in a concise way. The method is based on the conjoint use of a k-means clustering technique, assessment metrics, and Biogeochemical-Argo (BGC-Argo) observations. The k-means algorithm and the assessment metrics reduce the number of model data points to be evaluated. The metrics evaluate either the model state accuracy or the skill of the model with respect to capturing emergent properties, such as the deep chlorophyll maximums and oxygen minimum zones. The use of BGC-Argo observations as the sole evaluation data set ensures the accuracy of the data, as it is a homogenous data set with strict sampling methodologies and data quality control procedures. The method is applied to the Global Ocean Biogeochemistry Analysis and Forecast system of the Copernicus Marine Service. The model performance is evaluated using the model efficiency statistical score, which compares the model–observation misfit with the variability in the observations and, thus, objectively quantifies whether the model outperforms the BGC-Argo climatology. We show that, overall, the model surpasses the BGC-Argo climatology in predicting pH, dissolved inorganic carbon, alkalinity, oxygen, nitrate, and phosphate in the mesopelagic and the mixed layers as well as silicate in the mesopelagic layer. However, there are still areas for improvement with respect to reducing the model–data misfit for certain variables such as silicate, pH, and the partial pressure of CO2 in the mixed layer as well as chlorophyll-a-related, oxygen-minimum-zone-related, and particulate-organic-carbon-related metrics. The method proposed here can also aid in refining the design of the BGC-Argo network, in particular regarding the regions in which BGC-Argo observations should be enhanced to improve the model accuracy via the assimilation of BGC-Argo data or process-oriented assessment studies. We strongly recommend increasing the number of observations in the Arctic region while maintaining the existing high-density of observations in the Southern Oceans. The model error in these regions is only slightly less than the variability observed in BGC-Argo measurements. Our study illustrates how the synergic use of modeling and BGC-Argo data can both provide information about the performance of models and improve the design of observing systems.
Sophie Bonnet, Cécile Guieu, Vincent Taillandier, Cédric Boulart, Pascale Bouruet-Aubertot, Frédéric Gazeau, Carla Scalabrin, Matthieu Bressac, Angela Knapp, Yannis Cuypers, David González-Santana, Heather Forrer, Jean-Michel Grisoni, Olivier Grosso, Jérémie Habasque, Mercedes Jardin-Camps, Nathalie Leblond, Frédéric Le Moigne, Anne Lebourges-Dhaussy, Caroline Lory, Sandra Nunige, Elvira Pulido-Villena, Andrea Rizzo, Géraldine Sarthou, Chloé Tilliette.
Science (2023).
ART
Abstract
Iron is an essential nutrient that regulates productivity in ~30% of the ocean. Compared with deep (>2000 meter) hydrothermal activity at mid-ocean ridges that provide iron to the ocean’s interior, shallow (<500 meter) hydrothermal fluids are likely to influence the surface’s ecosystem. However, their effect is unknown. In this work, we show that fluids emitted along the Tonga volcanic arc (South Pacific) have a substantial impact on iron concentrations in the photic layer through vertical diffusion. This enrichment stimulates biological activity, resulting in an extensive patch of chlorophyll (360,000 square kilometers). Diazotroph activity is two to eight times higher and carbon export fluxes are two to three times higher in iron-enriched waters than in adjacent unfertilized waters. Such findings reveal a previously undescribed mechanism of natural iron fertilization in the ocean that fuels regional hotspot sinks for atmospheric CO 2 .