Articles | Volume 15, issue 16
https://doi.org/10.5194/bg-15-5093-2018
© Author(s) 2018. 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-15-5093-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Aug 2018
Research article |
| 27 Aug 2018
| 27 Aug 2018
Modulation of the vertical particle transfer efficiency in the oxygen minimum zone off Peru
Marine Bretagnon
CORRESPONDING AUTHOR
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
ACRI, Sophia Antipolis, France
Aurélien Paulmier
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
Véronique Garçon
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
Boris Dewitte
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
Centro de Estudios Avanzado en Zonas Áridas (CEAZA), Coquimbo, Chile
Departamento de Biología, Facultad de Ciencias del Mar, Universidad Católica del Norte, Coquimbo, Chile
Millennium Nucleus for Ecology and Sustainable Management of Oceanic Islands (ESMOI), Coquimbo,
Chile
Séréna Illig
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
Department of Oceanography, MARE Institute, LMI ICEMASA, University of
Cape Town, Cape Town, Rondebosch, South Africa
Nathalie Leblond
Sorbonne Université, CNRS, Laboratoire d'Océanographie de
Villefanche, LOV, Villefranche-sur-Mer, France
Laurent Coppola
Sorbonne Université, CNRS, Laboratoire d'Océanographie de
Villefanche, LOV, Villefranche-sur-Mer, France
Fernando Campos
UNAC, Lima, Peru
IGP, Lima, Peru
CICESE, Ensenada, Mexico
Federico Velazco
IMARPE, Callao, Peru
Christos Panagiotopoulos
Aix-Marseille Université, Université de Toulon, CNRS, IRD, Mediterranean Institute of Oceanography (MIO), UM 110, Marseille, France
Andreas Oschlies
GEOMAR/SFB754, Kiel, Germany
J. Martin Hernandez-Ayon
UABC, Ensenada, Mexico
Helmut Maske
CICESE, Ensenada, Mexico
Oscar Vergara
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
Ivonne Montes
IGP, Lima, Peru
Philippe Martinez
EPOC, Bordeaux, France
Edgardo Carrasco
IMARPE, Callao, Peru
Jacques Grelet
US IMAGO/IRD, Brest, France
Olivier Desprez-De-Gesincourt
INSU/CNRS, DT, Brest, France
Christophe Maes
Laboratorie d'Etude en Géophysique et Océanographie Spatiales (UPS/CNRS/IRD/CNES), Toulouse, France
LOPS, Brest, France
Lionel Scouarnec
INSU/CNRS, DT, Brest, France
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Manuscript not accepted for further review
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We present the implementation and evaluation of a marine biogeochemical model, Model of Oceanic Pelagic Stoichiometry (MOPS) in the Flexible Ocean and Climate Infrastructure (FOCI) climate model. FOCI-MOPS enables the simulation of marine biological processes, the marine carbon, nitrogen and oxygen cycles, and air–sea gas exchange of CO2 and O2. As shown by our evaluation, FOCI-MOPS shows an overall adequate performance that makes it an appropriate tool for Earth climate system simulations.
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The Peruvian system supports 10 % of the world's fishing yield. In the Peruvian system, wind and earth’s rotation bring cold, nutrient-rich water to the surface and allow phytoplankton to grow. But observations show that it grows worse at high upwelling. Using a model, we find that high upwelling happens when air mixes the water the most. Then phytoplankton is diluted and grows slowly due to low light and cool upwelled water. This study helps to estimate how it might change in a warming climate.
Karin Kvale, David P. Keller, Wolfgang Koeve, Katrin J. Meissner, Christopher J. Somes, Wanxuan Yao, and Andreas Oschlies
Geosci. Model Dev., 14, 7255–7285, https://doi.org/10.5194/gmd-14-7255-2021, https://doi.org/10.5194/gmd-14-7255-2021, 2021
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We present a new model of biological marine silicate cycling for the University of Victoria Earth System Climate Model (UVic ESCM). This new model adds diatoms, which are a key aspect of the biological carbon pump, to an existing ecosystem model. Our modifications change how the model responds to warming, with net primary production declining more strongly than in previous versions. Diatoms in particular are simulated to decline with climate warming due to their high nutrient requirements.
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Earth Syst. Sci. Data, 13, 4861–4880, https://doi.org/10.5194/essd-13-4861-2021, https://doi.org/10.5194/essd-13-4861-2021, 2021
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This work describes a ready-to-use collection of particulate organic carbon stable isotope ratio data sets. It covers the 1960s–2010s and all main oceans, providing meta-information and gridded data. The best coverage exists in Atlantic, Indian and Southern Ocean surface waters during the 1990s. It indicates no major difference between methods and shows decreasing values towards high latitudes, with the lowest in the Southern Ocean, and a long-term decline in all regions but the Southern Ocean.
Miriam Tivig, David P. Keller, and Andreas Oschlies
Biogeosciences, 18, 5327–5350, https://doi.org/10.5194/bg-18-5327-2021, https://doi.org/10.5194/bg-18-5327-2021, 2021
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Nitrogen is one of the most important elements for life in the ocean. A major source is the riverine discharge of dissolved nitrogen. While global models often omit rivers as a nutrient source, we included nitrogen from rivers in our Earth system model and found that additional nitrogen affected marine biology not only locally but also in regions far off the coast. Depending on regional conditions, primary production was enhanced or even decreased due to internal feedbacks in the nitrogen cycle.
Henrike Schmidt, Julia Getzlaff, Ulrike Löptien, and Andreas Oschlies
Ocean Sci., 17, 1303–1320, https://doi.org/10.5194/os-17-1303-2021, https://doi.org/10.5194/os-17-1303-2021, 2021
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Oxygen-poor regions in the open ocean restrict marine habitats. Global climate simulations show large uncertainties regarding the prediction of these areas. We analyse the representation of the simulated oxygen minimum zones in the Arabian Sea using 10 climate models. We give an overview of the main deficiencies that cause the model–data misfit in oxygen concentrations. This detailed process analysis shall foster future model improvements regarding the oxygen minimum zone in the Arabian Sea.
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Short summary
In oxygen minimum zone, the fate of the organic matter is a key question as the low oxygen condition would preserve the OM and thus enhance the biological carbon pump while the high microbial activity would foster the remineralisation and the greenhouse gases emission. To investigate this paradigm, sediment traps were deployed off Peru. We pointed out the influence of the oxygenation as well as the organic matter quantity and quality on the carbon transfer efficiency in the oxygen minimum zone.
In oxygen minimum zone, the fate of the organic matter is a key question as the low oxygen...
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