Articles | Volume 23, issue 14
https://doi.org/10.5194/bg-23-4967-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-4967-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jul 2026
Research article |
| 21 Jul 2026
| 21 Jul 2026
High-dimensional parameter optimization of a biogeochemical model: a multi-variable BGC-Argo data assimilation approach
Quentin Hyvernat
CORRESPONDING AUTHOR
Mercator Ocean International, 31400 Toulouse, France
Laboratoire d'Océanographie de Villefranche, CNRS, Sorbonne Université, 06230 Villefranche-sur-Mer, France
Alexandre Mignot
Mercator Ocean International, 31400 Toulouse, France
Elodie Gutknecht
Mercator Ocean International, 31400 Toulouse, France
Giovanni Ruggiero
Mercator Ocean International, 31400 Toulouse, France
Coralie Perruche
Mercator Ocean International, 31400 Toulouse, France
Guillaume Samson
Mercator Ocean International, 31400 Toulouse, France
Raphaëlle Sauzède
Institut de la Mer de Villefranche, CNRS, Sorbonne Université, 06230 Villefranche-sur-Mer, France
Olivier Aumont
Sorbonne Université (CNRS/IRD/MNHN), LOCEAN-IPSL, 75005 Paris, France
Hervé Claustre
Laboratoire d'Océanographie de Villefranche, CNRS, Sorbonne Université, 06230 Villefranche-sur-Mer, France
Fabrizio D'Ortenzio
Laboratoire d'Océanographie de Villefranche, CNRS, Sorbonne Université, 06230 Villefranche-sur-Mer, France
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Salem Ibrahim Salem, Andre Valente, Shubha Sathyendranath, Andrei Chuprin, Théo Renard, Jaime Pitarch, Ruth Airs, Moreno Ana, Maria-Manuel Angelico, David Antoine, Robert Arnone, Florinda Artuso, Paulo O. Oliveira, William Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Marco Bellacicco, Jean-François Berthon, Şükrü Beşiktepe, Francesco Bignami, Yngve Borsheim, Astrid Bracher, Federica Braga, Vittorio Brando, Robert J. W. Brewin, Vanda Brotas, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Simone Colella, Raul Costa, Cristina Nunes, Richard Crout, Emmanuel Devred, Annalisa Di Cicco, Federico Falcini, Ivan Farace, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Isabella Giardina, Stuart W. Gibb, Arthur Gleason, Ralf Goericke, Richard Gould, Michael Grant, Nathalie Guillocheau, Hiroto Higa, Stanford B. Hooker, Chuamin Hu, Joji Ishizaka, Thomas Jackson, Mati Kahru, Milton Kampel, Bokyung Kim, Holger Klein, Piotr Kowalczuk, Susanne Kratzer, Raphael Kudela, Antonia Lai, Rosario Lavezza, Jesus Ledesma, Huiwon Lee, Steven Lohrenz, Hubert Loisel, Vivian Lutz, Antonio Mannino, Francesca Margiotta, Victor Martinez-Vicente, Salvatore Marullo, Luca Massi, Patricia Matrai, Atsushi Matsuoka, David McKee, Chiara Melillo, Carlos B. Mendes, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Emanuele Organelli, Heeyoon Park, Trevor Platt, Francesca Polonelli, Alex Poulton, Mariella Ragni, Michel Repecaud, Maurizio Ribera d’Alcalà, Tamara Rodriguez-Ramos, Rüdiger Röttgers, Manuel Ruiz-Villarreal, Michela Sammartino, Rosalia Santoleri, Gian Marco Scarpa, Thomas Schroeder, Valeria Segura, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Joanna Stoń-Egiert, Malcolm Taberner, Jing Tan, Rob Thomas, Crystal Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Gianluca Volpe, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, Sunmi Yang, Giuseppe Zibordi, Maria Laura Zoffoli, and Steve Groom
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-539, https://doi.org/10.5194/essd-2026-539, 2026
Preprint under review for ESSD
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This paper presents the fourth version of the ESA Ocean Colour Climate Change Initiative global in situ bio-optical database. The updated compilation combines observations from many international data sources collected between 1996 and 2025 and includes major expansions in coverage and variables. The dataset provides a consistent reference for validating satellite ocean-colour products and supports algorithm development and long-term climate studies.
Elodie Gutknecht, Bruno Levier, Romain Escudier, Guillaume Reffray, Sylvain Cailleau, Stefano Ciavatta, Muriel Lux, Michelle Devlin, Lisette Enserink, Naomi Greenwood, and Hjalte Parner
State Planet Discuss., https://doi.org/10.5194/sp-2026-8, https://doi.org/10.5194/sp-2026-8, 2026
Preprint under review for SP
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Declining oxygen levels near the seafloor can harm marine ecosystems. We investigated oxygen conditions across the North-East Atlantic shelf seas using ocean modelling. We found that low oxygen affects around one quarter of the shelf, with some areas experiencing severe oxygen loss, and that oxygen levels have decreased in recent decades beyond currently recognized vulnerable zones. These results highlight the need for continued monitoring and improved protection of marine environments.
Flavien Petit, Julia Uitz, Louison Dufour, Collin Roesler, Frédéric Partensky, Laurence Garczarek, Priscillia Gourvil, Céline Dimier, Melek Golbol, Vincenzo Vellucci, David Antoine, Christophe Penkerc'h, Vincent Taillandier, and Hervé Claustre
Biogeosciences, 23, 4561–4582, https://doi.org/10.5194/bg-23-4561-2026, https://doi.org/10.5194/bg-23-4561-2026, 2026
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We studied whether ocean sensors can detect changes in microscopic algae communities that influence marine ecosystems and carbon uptake. We combined laboratory experiments and ocean observations to test sensors that measure how algae emit light at different colors when illuminated. We found that combining these light measurements with other optical signals improves the identification of broad community types. This approach could help future ocean floats better track ecosystem change globally.
Jozef Skákala, Shubha Sathyendranath, Yuri Artioli, Deep S. Banerjee, Heather Bouman, Robert J. W. Brewin, Momme Butenschön, Stefano Ciavatta, Stephanie Dutkiewicz, Yanna Fidai, David Ford, Grinson George, Karen Guihou, Bror Jönsson, Marija Bačeković Koloper, Žarko Kovač, Lekshmi Krishnakumary, Gemma Kulk, Charlotte Laufkötter, Gennadi Lessin, Jann Paul Mattern, Angélique Melet, Alexandre Mignot, David Moffat, Fanny Monteiro, Mayra Rodriguez Bennadji, Cécile S. Rousseaux, Ranjini Swaminathan, Osvaldo Ulloa, and Jerry Tjiputra
Ocean Sci., 22, 1457–1481, https://doi.org/10.5194/os-22-1457-2026, https://doi.org/10.5194/os-22-1457-2026, 2026
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Marine primary production (PP) is a key component of the Earth's climate system, but its current estimates and future projections are highly uncertain. We review the PP uncertainties and discuss their sources both across the ecosystem and satellite models. We propose to reduce the PP uncertainties by better addressing the PP model structures and parametrizations. We also argue that for many models it is desirable to consider spatial and temporal variability in the model parameter values.
Jonathan Rogerson, Alessandro Tagliabue, Agathe Nguyen, Marcello Vichi, Lewis Wrightson, Prima Anugerahanti, Olivier Aumont, and Marion Gehlen
Biogeosciences, 23, 3179–3194, https://doi.org/10.5194/bg-23-3179-2026, https://doi.org/10.5194/bg-23-3179-2026, 2026
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We use five different versions of a biogeochemical model to show that how phytoplankton growth processes are represented strongly shapes projections of future ocean productivity and carbon export. Added model complexity does not have a uniform global effect as some new processes mainly influence specific ocean regions, while others, such as an additional small phytoplankton type, lead to large intramodel differences in future trends and latitudinal patterns of productivity and carbon export.
Marilaure Grégoire, Gianpiero Cossarini, Corinne Derval, Elodie Gutknecht, Susan Kay, Julien Lamouroux, Helen Morrison, Coralie Perruche, Annette Samuelsen, Lena Spruch, Anna Teruzzi, Luc Vandenbulcke, Karina Von Schuckmann, and Tsuyoshi Wakamatsu
EGUsphere, https://doi.org/10.5194/egusphere-2026-813, https://doi.org/10.5194/egusphere-2026-813, 2026
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We review the advancements in our capabilities to predict the green ocean in the frame of the European Copernicus Marine Service since its start in 2015 and for the five European seas, the Arctic and Global oceans. The evolutions of the prediction systems, delivered products and computing resources requirements are reviewed. Recommendations for future developments are proposed based on a SWOT analysis of current CMEMS green ocean prediction systems and products.
Gabriela Martinez Balbontin, Julien Jouanno, Rachid Benshila, Julien Lamouroux, Coralie Perruche, and Stefano Ciavatta
Biogeosciences, 23, 2601–2620, https://doi.org/10.5194/bg-23-2601-2026, https://doi.org/10.5194/bg-23-2601-2026, 2026
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This study uses machine learning to predict global sea surface chlorophyll a, which is important for monitoring marine ecosystems and the carbon cycle. Using forecasts of sea surface temperature, salinity, height, and mixed layer depth, we generate global predictions up to six months ahead in just minutes. Our approach matches state-of-the-art numerical methods while being faster and more resource-efficient.
Jules Victor Lehodey, Alexandre Mignot, Alexandre Ganachaud, Sarah Albernhe, and Simon Nicol
EGUsphere, https://doi.org/10.5194/egusphere-2026-711, https://doi.org/10.5194/egusphere-2026-711, 2026
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Marine zooplankton transfer energy from microscopic algae to fish and larger predators. Understanding their distribution helps predict how oceans respond to climate change. We developed SeapoPym, a freely available model that simulates zooplankton using ocean temperature and plant productivity. This tool lets scientists test biological hypotheses and estimate parameters from observations.
Aliette Chenal, Gilles Garric, Charles-Emmanuel Testut, Mathieu Hamon, Giovanni Ruggiero, Florent Garnier, and Pierre-Yves Le Traon
The Cryosphere, 20, 369–395, https://doi.org/10.5194/tc-20-369-2026, https://doi.org/10.5194/tc-20-369-2026, 2026
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This study proposes to improve the representation of ice and snow volumes in the Arctic and Antarctic based on a novel multivariate assimilation method using freeboard radar and snow depth satellite data. The approach leads to an improved sea ice and snow volume representation, even during summer when satellite data is limited. The performance of the assimilated system is better in the Arctic than in Antarctica, where ocean/ice interactions play a key role.
Louise Delaigue, Pierre Cauchy, Dorian Cazau, Julien Bonnel, Sara Pensieri, Roberto Bozzano, Anatole Gros-Martial, Christophe Schaeffer, Arnaud David, Paco Stil, Antoine Poteau, Catherine Schmechtig, Edouard Leymarie, and Hervé Claustre
Ocean Sci., 22, 101–117, https://doi.org/10.5194/os-22-101-2026, https://doi.org/10.5194/os-22-101-2026, 2026
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We tested a new way to measure ocean winds using sound recorded deep underwater by an autonomous float. By listening to how wind and waves create noise at the surface, we showed that these floats can track changes in wind speed with good accuracy. This approach can extend wind monitoring to remote seas where satellites and buoys struggle, helping us better understand how the ocean and atmosphere exchange heat, gases, and energy.
Lisa Di Matteo, Fabio Benedetti, Sakina-Dorothée Ayata, and Olivier Aumont
Biogeosciences, 22, 7233–7268, https://doi.org/10.5194/bg-22-7233-2025, https://doi.org/10.5194/bg-22-7233-2025, 2025
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Mesozooplankton gather small current-drifting animals. They are very diverse and play key roles in the functioning of marine ecosystem and carbon cycle, especially through the production of rapidly sinking particles. Usually represented as one compartment, here we add three feeding strategies in an ocean biogeochemical model and investigate their impact on carbon cycle at global scale. We find distinct distributions between mesozooplankton types and diverse contributions to carbon export.
Wilhem Riom, Nicolas Mayot, Alexandre Mignot, Vincent Taillandier, and Fabrizio D'Ortenzio
State Planet Discuss., https://doi.org/10.5194/sp-2025-4, https://doi.org/10.5194/sp-2025-4, 2025
Revised manuscript accepted for SP
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Over the ocean, phytoplankton (the microscopic algae at the basis of the marine foodweb) present characteristic cyclical patterns modulated by the passage of seasons. Climate change is modifying the marine environment and these seasonal cycles. This study presents a method that identifies the geographical displacement of these cycles applied over the last 30 years of satellite observations. It suggests that cycles normally typical of low latitude regions are extending towards high latitudes.
Jorge García-Jiménez, Ana B. Ruescas, Julia Amorós-López, and Raphaëlle Sauzède
Ocean Sci., 21, 1677–1694, https://doi.org/10.5194/os-21-1677-2025, https://doi.org/10.5194/os-21-1677-2025, 2025
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Estimation of particulate organic carbon (POC) relies on proxies like the particulate backscattering coefficient (bbp) derived from BioGeoChemical-Argo (BGC-Argo) floats and satellite data. BGC-Argo floats provide global insights into vertical bio-optical dynamics. This study integrates Sentinel-3 OLCI (Ocean and Land Colour Instrument) data and machine learning approaches to improve bbp estimates in the top 250 m of the water column. The results differ based on the dynamics of the study areas.
Madhavan Girijakumari Keerthi, Olivier Aumont, Lester Kwiatkowski, and Marina Levy
Biogeosciences, 22, 2163–2180, https://doi.org/10.5194/bg-22-2163-2025, https://doi.org/10.5194/bg-22-2163-2025, 2025
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We assessed how well climate models replicate sub-seasonal changes in ocean chlorophyll observed by satellites. Models struggle to capture these variations accurately. Some overestimate fluctuations and their impact on annual chlorophyll variability, while others underestimate them. The underestimation is likely due to limited model resolution, while the overestimation may come from internal model oscillations.
Sébastien Masson, Swen Jullien, Eric Maisonnave, David Gill, Guillaume Samson, Mathieu Le Corre, and Lionel Renault
Geosci. Model Dev., 18, 1241–1263, https://doi.org/10.5194/gmd-18-1241-2025, https://doi.org/10.5194/gmd-18-1241-2025, 2025
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This article details a new feature we implemented in the popular regional atmospheric model WRF. This feature allows for data exchange between WRF and any other model (e.g. an ocean model) using the coupling library Ocean–Atmosphere–Sea–Ice–Soil Model Coupling Toolkit (OASIS3-MCT). This coupling interface is designed to be non-intrusive, flexible and modular. It also offers the possibility of taking into account the nested zooms used in WRF or in the models with which it is coupled.
Eva Álvarez, Gianpiero Cossarini, Anna Teruzzi, Jorn Bruggeman, Karsten Bolding, Stefano Ciavatta, Vincenzo Vellucci, Fabrizio D'Ortenzio, David Antoine, and Paolo Lazzari
Biogeosciences, 20, 4591–4624, https://doi.org/10.5194/bg-20-4591-2023, https://doi.org/10.5194/bg-20-4591-2023, 2023
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Chromophoric dissolved organic matter (CDOM) interacts with the ambient light and gives the waters of the Mediterranean Sea their colour. We propose a novel parameterization of the CDOM cycle, whose parameter values have been optimized by using the data of the monitoring site BOUSSOLE. Nutrient and light limitations for locally produced CDOM caused aCDOM(λ) to covary with chlorophyll, while the above-average CDOM concentrations observed at this site were maintained by allochthonous sources.
Joelle Habib, Caroline Ulses, Claude Estournel, Milad Fakhri, Patrick Marsaleix, Mireille Pujo-Pay, Marine Fourrier, Laurent Coppola, Alexandre Mignot, Laurent Mortier, and Pascal Conan
Biogeosciences, 20, 3203–3228, https://doi.org/10.5194/bg-20-3203-2023, https://doi.org/10.5194/bg-20-3203-2023, 2023
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The Rhodes Gyre, eastern Mediterranean Sea, is the main Levantine Intermediate Water formation site. In this study, we use a 3D physical–biogeochemical model to investigate the seasonal and interannual variability of organic carbon dynamics in the gyre. Our results show its autotrophic nature and its high interannual variability, with enhanced primary production, downward exports, and onward exports to the surrounding regions during years marked by intense heat losses and deep mixed layers.
Alexandre Mignot, Hervé Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaëlle Sauzède, Vincent Taillandier, and Anna Teruzzi
Biogeosciences, 20, 1405–1422, https://doi.org/10.5194/bg-20-1405-2023, https://doi.org/10.5194/bg-20-1405-2023, 2023
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Numerical models of ocean biogeochemistry are becoming a major tool to detect and predict the impact of climate change on marine resources and monitor ocean health. Here, we demonstrate the use of the global array of BGC-Argo floats for the assessment of biogeochemical models. We first detail the handling of the BGC-Argo data set for model assessment purposes. We then present 23 assessment metrics to quantify the consistency of BGC model simulations with respect to BGC-Argo data.
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023, https://doi.org/10.5194/bg-20-1195-2023, 2023
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Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Corentin Clerc, Laurent Bopp, Fabio Benedetti, Meike Vogt, and Olivier Aumont
Biogeosciences, 20, 869–895, https://doi.org/10.5194/bg-20-869-2023, https://doi.org/10.5194/bg-20-869-2023, 2023
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Gelatinous zooplankton play a key role in the ocean carbon cycle. In particular, pelagic tunicates, which feed on a wide size range of prey, produce rapidly sinking detritus. Thus, they efficiently transfer carbon from the surface to the depths. Consequently, we added these organisms to a marine biogeochemical model (PISCES-v2) and evaluated their impact on the global carbon cycle. We found that they contribute significantly to carbon export and that this contribution increases with depth.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, https://doi.org/10.5194/essd-14-5737-2022, 2022
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A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
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This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Laurent Bopp, Olivier Aumont, Lester Kwiatkowski, Corentin Clerc, Léonard Dupont, Christian Ethé, Thomas Gorgues, Roland Séférian, and Alessandro Tagliabue
Biogeosciences, 19, 4267–4285, https://doi.org/10.5194/bg-19-4267-2022, https://doi.org/10.5194/bg-19-4267-2022, 2022
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The impact of anthropogenic climate change on the biological production of phytoplankton in the ocean is a cause for concern because its evolution could affect the response of marine ecosystems to climate change. Here, we identify biological N fixation and its response to future climate change as a key process in shaping the future evolution of marine phytoplankton production. Our results show that further study of how this nitrogen fixation responds to environmental change is essential.
Joris Pianezze, Jonathan Beuvier, Cindy Lebeaupin Brossier, Guillaume Samson, Ghislain Faure, and Gilles Garric
Nat. Hazards Earth Syst. Sci., 22, 1301–1324, https://doi.org/10.5194/nhess-22-1301-2022, https://doi.org/10.5194/nhess-22-1301-2022, 2022
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Most numerical weather and oceanic prediction systems do not consider ocean–atmosphere feedback during forecast, and this can lead to significant forecast errors, notably in cases of severe situations. A new high-resolution coupled ocean–atmosphere system is presented in this paper. This forecast-oriented system, based on current regional operational systems and evaluated using satellite and in situ observations, shows that the coupling improves both atmospheric and oceanic forecasts.
Martí Galí, Marcus Falls, Hervé Claustre, Olivier Aumont, and Raffaele Bernardello
Biogeosciences, 19, 1245–1275, https://doi.org/10.5194/bg-19-1245-2022, https://doi.org/10.5194/bg-19-1245-2022, 2022
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Part of the organic matter produced by plankton in the upper ocean is exported to the deep ocean. This process, known as the biological carbon pump, is key for the regulation of atmospheric carbon dioxide and global climate. However, the dynamics of organic particles below the upper ocean layer are not well understood. Here we compared the measurements acquired by autonomous robots in the top 1000 m of the ocean to a numerical model, which can help improve future climate projections.
Marie Barbieux, Julia Uitz, Alexandre Mignot, Collin Roesler, Hervé Claustre, Bernard Gentili, Vincent Taillandier, Fabrizio D'Ortenzio, Hubert Loisel, Antoine Poteau, Edouard Leymarie, Christophe Penkerc'h, Catherine Schmechtig, and Annick Bricaud
Biogeosciences, 19, 1165–1194, https://doi.org/10.5194/bg-19-1165-2022, https://doi.org/10.5194/bg-19-1165-2022, 2022
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This study assesses marine biological production in two Mediterranean systems representative of vast desert-like (oligotrophic) areas encountered in the global ocean. We use a novel approach based on non-intrusive high-frequency in situ measurements by two profiling robots, the BioGeoChemical-Argo (BGC-Argo) floats. Our results indicate substantial yet variable production rates and contribution to the whole water column of the subsurface layer, typically considered steady and non-productive.
Mara Freilich, Alexandre Mignot, Glenn Flierl, and Raffaele Ferrari
Biogeosciences, 18, 5595–5607, https://doi.org/10.5194/bg-18-5595-2021, https://doi.org/10.5194/bg-18-5595-2021, 2021
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Observations reveal that in some regions phytoplankton biomass increases during the wintertime when growth conditions are sub-optimal, which has been attributed to a release from grazing during mixed layer deepening. Measurements of grazer populations to support this theory are lacking. We demonstrate that a release from grazing when the winter mixed layer is deepening holds only for certain grazing models, extending the use of phytoplankton observations to make inferences about grazer dynamics.
Cited articles
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Short summary
We introduce an iterative Importance Sampling framework to optimize the Pelagic Interaction Scheme for Carbon and Ecosystem Studies (PISCES) model using 20 metrics from Biogeochemical-Argo data. Three strategies are compared: 29 main-effect, 66 including interaction effects, and all 95 parameters. All yield statistically indistinguishable skill gains, reducing error by 54–56 %. Optimizing all 95 parameters is recommended for comprehensive uncertainty quantification. The optimized set also improves skill in a three-dimensional regional simulation.
We introduce an iterative Importance Sampling framework to optimize the Pelagic Interaction...
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