Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8349-2026
© 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/gmd-19-8349-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
09 Sep 2026
Model description paper |
| 09 Sep 2026
| 09 Sep 2026
SeapoPym v0.1: implementation of the SEAPODYM low and mid trophic levels in Python with a flexible optimization framework
Jules Victor Lehodey
CORRESPONDING AUTHOR
LEGOS, University of Toulouse, CNRS, IRD, CNES, UT, Toulouse, France
MARBEC, University of Montpellier, CNRS, IRD, IFREMER, Sète, France
ISEA – Institut des Sciences Exactes et Appliquées (EA 7484), Université de la Nouvelle-Calédonie, Noumea, New Caledonia
Alexandre Mignot
Mercator Ocean International, Toulouse, France
Alexandre Ganachaud
LEGOS, University of Toulouse, CNRS, IRD, CNES, UT, Toulouse, France
MARBEC, University of Montpellier, CNRS, IRD, IFREMER, Sète, France
Sarah Albernhe
Mercator Ocean International, Toulouse, France
Simon Nicol
Pacific Community (SPC), Noumea, New Caledonia
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Biogeosciences, 23, 4967–4998, https://doi.org/10.5194/bg-23-4967-2026, https://doi.org/10.5194/bg-23-4967-2026, 2026
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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.
Inès Mangolte, Sophie Cravatte, Alexandre Ganachaud, and Christophe Menkes
Ocean Sci., 22, 1937–1964, https://doi.org/10.5194/os-22-1937-2026, https://doi.org/10.5194/os-22-1937-2026, 2026
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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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Shilpa Lal, Sophie Cravatte, Christophe Menkes, Jed Macdonald, Romain Le Gendre, Ines Mangolte, Cyril Dutheil, Neil J. Holbrook, and Simon Nicol
Ocean Sci., 22, 1023–1049, https://doi.org/10.5194/os-22-1023-2026, https://doi.org/10.5194/os-22-1023-2026, 2026
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Romain Le Gendre, David Varillon, Sylvie Fiat, Régis Hocdé, Antoine de Ramon N'Yeurt, Serge Andréfouët, Jérôme Aucan, Sophie Cravatte, Maxime Duphil, Alexandre Ganachaud, Baptiste Gaudron, Elodie Kestenare, Vetea Liao, Bernard Pelletier, Alexandre Peltier, Anne-Lou Schaefer, Thomas Trophime, Simon Van Wynsberge, Yves Dandonneau, Michel Allenbach, and Christophe Menkes
Earth Syst. Sci. Data, 17, 5277–5301, https://doi.org/10.5194/essd-17-5277-2025, https://doi.org/10.5194/essd-17-5277-2025, 2025
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Due to ocean warming, coral reef ecosystems are strongly impacted by dystrophic events and corals experiencing increasing frequencies of bleaching events. In situ observation remains the best alternative for accurate characterization of trends and extremes in these shallow environments. This paper presents the coastal temperature dataset of the ReefTEMPS monitoring network, which spreads over multiple Pacific Island countries and territories (PICTs) in the western and central South Pacific.
Sarah Albernhe, Thomas Gorgues, Olivier Titaud, Patrick Lehodey, Christophe Menkes, and Anna Conchon
State Planet, 6-osr9, 4, https://doi.org/10.5194/sp-6-osr9-4-2025, https://doi.org/10.5194/sp-6-osr9-4-2025, 2025
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Micronekton are marine organisms gathering a wide diversity of taxa (crustaceans, fish, cephalopods) 2 to 20 cm in size. They are responsible for an important carbon export to the deep ocean and are the main prey for marine predators. We define provinces of homogeneous environmental parameters, representing areas of common micronekton biomass and vertical structure. We observe the evolution of the provinces in time from 1998 to 2023 to account for the seasonal to interannual variability.
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.
Philippe F. V. W. Frankemölle, Peter D. Nooteboom, Joe Scutt Phillips, Lauriane Escalle, Simon Nicol, and Erik van Sebille
Ocean Sci., 20, 31–41, https://doi.org/10.5194/os-20-31-2024, https://doi.org/10.5194/os-20-31-2024, 2024
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Tuna fisheries in the Pacific often use drifting fish aggregating devices (dFADs) to attract fish that are advected by subsurface flow through underwater appendages. Using a particle advection model, we find that virtual particles advected by surface flow are displaced farther than virtual dFADs. We find a relation between El Niño–Southern Oscillation and circular motion in some areas, influencing dFAD densities. This information helps us to understand processes that drive dFAD distribution.
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.
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
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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.
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Short summary
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.
Marine zooplankton transfer energy from microscopic algae to fish and larger predators....
