Articles | Volume 15, issue 11
https://doi.org/10.5194/bg-15-3497-2018
© 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-15-3497-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2018
Research article |
| 14 Jun 2018
| 14 Jun 2018
Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales
Takuvik Joint International Laboratory (Université Laval
– CNRS), Biology Department, Université Laval, 1045 Avenue de
la Médecine, Québec, QC G1V 0A6, Canada
Maurice Levasseur
Takuvik Joint International Laboratory (Université Laval
– CNRS), Biology Department, Université Laval, 1045 Avenue de
la Médecine, Québec, QC G1V 0A6, Canada
Emmanuel Devred
Fisheries and Oceans Canada, Bedford Institute of
Oceanography, Dartmouth, NS B2Y 4A2, Canada
Rafel Simó
Institut de Ciències del Mar (ICM-CSIC), Passeig Marítim de
la Barceloneta 37–49, 08003 Barcelona, Catalonia, Spain
Marcel Babin
Takuvik Joint International Laboratory (Université Laval
– CNRS), Biology Department, Université Laval, 1045 Avenue de
la Médecine, Québec, QC G1V 0A6, Canada
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The term
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This paper describes and tests a method which uses a genetic algorithm (GA), a type of optimisation algorithm, on an ocean biogeochemical model. The aim is to produce a set of numerical parameters that best reflect the observed data of particulate organic carbon in a specific region of the ocean. We show that the GA can provide optimised model parameters in a robust and efficient manner and can also help detect model limitations, ultimately leading to a reduction in the model uncertainties.
Shrivardhan Hulswar, Rafel Simó, Martí Galí, Thomas G. Bell, Arancha Lana, Swaleha Inamdar, Paul R. Halloran, George Manville, and Anoop Sharad Mahajan
Earth Syst. Sci. Data, 14, 2963–2987, https://doi.org/10.5194/essd-14-2963-2022, https://doi.org/10.5194/essd-14-2963-2022, 2022
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The third climatological estimation of sea surface dimethyl sulfide (DMS) concentrations based on in situ measurements was created (DMS-Rev3). The update includes a much larger input dataset and includes improvements in the data unification, filtering, and smoothing algorithm. The DMS-Rev3 climatology provides more realistic monthly estimates of DMS, and shows significant regional differences compared to past climatologies.
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.
Emmanuel Devred, Andrea Hilborn, and Cornelia Elizabeth den Heyer
Biogeosciences, 18, 6115–6132, https://doi.org/10.5194/bg-18-6115-2021, https://doi.org/10.5194/bg-18-6115-2021, 2021
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A theoretical model of grey seal seasonal abundance on Sable Island (SI) coupled with chlorophyll-a concentration [chl-a] measured by satellite revealed the impact of seal nitrogen fertilization on the surrounding waters of SI, Canada. The increase in seals from about 100 000 in 2003 to about 360 000 in 2018 during the breeding season is consistent with an increase in [chl-a] leeward of SI. The increase in seal abundance explains 8 % of the [chl-a] increase.
Sebastian Landwehr, Michele Volpi, F. Alexander Haumann, Charlotte M. Robinson, Iris Thurnherr, Valerio Ferracci, Andrea Baccarini, Jenny Thomas, Irina Gorodetskaya, Christian Tatzelt, Silvia Henning, Rob L. Modini, Heather J. Forrer, Yajuan Lin, Nicolas Cassar, Rafel Simó, Christel Hassler, Alireza Moallemi, Sarah E. Fawcett, Neil Harris, Ruth Airs, Marzieh H. Derkani, Alberto Alberello, Alessandro Toffoli, Gang Chen, Pablo Rodríguez-Ros, Marina Zamanillo, Pau Cortés-Greus, Lei Xue, Conor G. Bolas, Katherine C. Leonard, Fernando Perez-Cruz, David Walton, and Julia Schmale
Earth Syst. Dynam., 12, 1295–1369, https://doi.org/10.5194/esd-12-1295-2021, https://doi.org/10.5194/esd-12-1295-2021, 2021
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The Antarctic Circumnavigation Expedition surveyed a large number of variables describing the dynamic state of ocean and atmosphere, freshwater cycle, atmospheric chemistry, ocean biogeochemistry, and microbiology in the Southern Ocean. To reduce the dimensionality of the dataset, we apply a sparse principal component analysis and identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and
hotspotsof interaction. Code and data are open access.
Christophe Perron, Christian Katlein, Simon Lambert-Girard, Edouard Leymarie, Louis-Philippe Guinard, Pierre Marquet, and Marcel Babin
The Cryosphere, 15, 4483–4500, https://doi.org/10.5194/tc-15-4483-2021, https://doi.org/10.5194/tc-15-4483-2021, 2021
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Characterizing the evolution of inherent optical properties (IOPs) of sea ice in situ is necessary to improve climate and arctic ecosystem models. Here we present the development of an optical probe, based on the spatially resolved diffuse reflectance method, to measure IOPs of a small volume of sea ice (dm3) in situ and non-destructively. For the first time, in situ vertically resolved profiles of the dominant IOP, the reduced scattering coefficient, were obtained for interior sea ice.
Philippe Massicotte, Rainer M. W. Amon, David Antoine, Philippe Archambault, Sergio Balzano, Simon Bélanger, Ronald Benner, Dominique Boeuf, Annick Bricaud, Flavienne Bruyant, Gwenaëlle Chaillou, Malik Chami, Bruno Charrière, Jing Chen, Hervé Claustre, Pierre Coupel, Nicole Delsaut, David Doxaran, Jens Ehn, Cédric Fichot, Marie-Hélène Forget, Pingqing Fu, Jonathan Gagnon, Nicole Garcia, Beat Gasser, Jean-François Ghiglione, Gaby Gorsky, Michel Gosselin, Priscillia Gourvil, Yves Gratton, Pascal Guillot, Hermann J. Heipieper, Serge Heussner, Stanford B. Hooker, Yannick Huot, Christian Jeanthon, Wade Jeffrey, Fabien Joux, Kimitaka Kawamura, Bruno Lansard, Edouard Leymarie, Heike Link, Connie Lovejoy, Claudie Marec, Dominique Marie, Johannie Martin, Jacobo Martín, Guillaume Massé, Atsushi Matsuoka, Vanessa McKague, Alexandre Mignot, William L. Miller, Juan-Carlos Miquel, Alfonso Mucci, Kaori Ono, Eva Ortega-Retuerta, Christos Panagiotopoulos, Tim Papakyriakou, Marc Picheral, Louis Prieur, Patrick Raimbault, Joséphine Ras, Rick A. Reynolds, André Rochon, Jean-François Rontani, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Yuan Shen, Guisheng Song, Dariusz Stramski, Eri Tachibana, Alexandre Thirouard, Imma Tolosa, Jean-Éric Tremblay, Mickael Vaïtilingom, Daniel Vaulot, Frédéric Vaultier, John K. Volkman, Huixiang Xie, Guangming Zheng, and Marcel Babin
Earth Syst. Sci. Data, 13, 1561–1592, https://doi.org/10.5194/essd-13-1561-2021, https://doi.org/10.5194/essd-13-1561-2021, 2021
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The MALINA oceanographic expedition was conducted in the Mackenzie River and the Beaufort Sea systems. The sampling was performed across seven shelf–basin transects to capture the meridional gradient between the estuary and the open ocean. The main goal of this research program was to better understand how processes such as primary production are influencing the fate of organic matter originating from the surrounding terrestrial landscape during its transition toward the Arctic Ocean.
Betty Croft, Randall V. Martin, Richard H. Moore, Luke D. Ziemba, Ewan C. Crosbie, Hongyu Liu, Lynn M. Russell, Georges Saliba, Armin Wisthaler, Markus Müller, Arne Schiller, Martí Galí, Rachel Y.-W. Chang, Erin E. McDuffie, Kelsey R. Bilsback, and Jeffrey R. Pierce
Atmos. Chem. Phys., 21, 1889–1916, https://doi.org/10.5194/acp-21-1889-2021, https://doi.org/10.5194/acp-21-1889-2021, 2021
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North Atlantic Aerosols and Marine Ecosystems Study measurements combined with GEOS-Chem-TOMAS modeling suggest that several not-well-understood key factors control northwest Atlantic aerosol number and size. These synergetic and climate-relevant factors include particle formation near and above the marine boundary layer top, particle growth by marine secondary organic aerosol on descent, particle formation/growth related to dimethyl sulfide, sea spray aerosol, and ship emissions.
Stefano Decesari, Marco Paglione, Matteo Rinaldi, Manuel Dall'Osto, Rafel Simó, Nicola Zanca, Francesca Volpi, Maria Cristina Facchini, Thorsten Hoffmann, Sven Götz, Christopher Johannes Kampf, Colin O'Dowd, Darius Ceburnis, Jurgita Ovadnevaite, and Emilio Tagliavini
Atmos. Chem. Phys., 20, 4193–4207, https://doi.org/10.5194/acp-20-4193-2020, https://doi.org/10.5194/acp-20-4193-2020, 2020
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Atmospheric aerosols in Antarctica contribute to regulate the delicate budget of cloud formation and precipitations. Besides the well-known biogenic production of sulfur-containing aerosol components such as methanesulfonate (MSA), the assessment of biological sources of organic particles in Antarctica remains an active area of research. Here we present the results of aerosol organic characterization during a research cruise performed in the Weddell Sea and in the Southern Ocean in Jan–Feb 2015.
Martine Lizotte, Maurice Levasseur, Virginie Galindo, Margaux Gourdal, Michel Gosselin, Jean-Éric Tremblay, Marjolaine Blais, Joannie Charette, and Rachel Hussherr
Biogeosciences, 17, 1557–1581, https://doi.org/10.5194/bg-17-1557-2020, https://doi.org/10.5194/bg-17-1557-2020, 2020
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This study brings further support to the premise that the prevalence of younger and thinner icescapes over older and thicker ones in the Canadian High Arctic favors the early development of under-ice microorganisms as well as their production of the climate-relevant gas dimethylsulfide (DMS). Given the rapid rate of climate-driven changes in Arctic sea ice, our results suggest implications for the timing and magnitude of DMS pulses in the Arctic, with ramifications for climate forecasting.
Anna J. Crawford, Derek Mueller, Gregory Crocker, Laurent Mingo, Luc Desjardins, Dany Dumont, and Marcel Babin
The Cryosphere, 14, 1067–1081, https://doi.org/10.5194/tc-14-1067-2020, https://doi.org/10.5194/tc-14-1067-2020, 2020
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Large tabular icebergs (
ice islands) are symbols of climate change as well as marine hazards. We measured thickness along radar transects over two visits to a 14 km2 Arctic ice island and left automated equipment to monitor surface ablation and thickness over 1 year. We assess variation in thinning rates and calibrate an ice–ocean melt model with field data. Our work contributes to understanding ice island deterioration via logistically complex fieldwork in a remote environment.
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020, https://doi.org/10.5194/essd-12-591-2020, 2020
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Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Éric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martí Galí, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Éric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin
Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020, https://doi.org/10.5194/essd-12-151-2020, 2020
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The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.
Roya Ghahreman, Wanmin Gong, Martí Galí, Ann-Lise Norman, Stephen R. Beagley, Ayodeji Akingunola, Qiong Zheng, Alexandru Lupu, Martine Lizotte, Maurice Levasseur, and W. Richard Leaitch
Atmos. Chem. Phys., 19, 14455–14476, https://doi.org/10.5194/acp-19-14455-2019, https://doi.org/10.5194/acp-19-14455-2019, 2019
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Atmospheric DMS(g) is a climatically important compound and the main source of biogenic sulfate in the Arctic. Its abundance in the Arctic increases during summer due to greater ice-free sea surface and higher biological activity. In this study, we implemented DMS(g) in a regional air quality forecast model configured for the Arctic. The study showed a significant impact from DMS(g) on sulfate aerosols, particularly in the 50–100 nm size range, in the Arctic marine boundary layer during summer.
Gauthier Verin, Florent Dominé, Marcel Babin, Ghislain Picard, and Laurent Arnaud
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-113, https://doi.org/10.5194/tc-2019-113, 2019
Publication in TC not foreseen
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The results of two sampling campaigns conducted on landfast sea ice in Baffin Bay show that the melt season can be divided into four main phases during which surface albedo and snow properties show distinct signatures. A radiative transfer model was used to successfully reconstruct the albedo from snow properties. This modeling work highlights that only little changes on the very surface of the snowpack are able to dramatically change the albedo, a key element for the energy budget of sea ice.
Rashed Mahmood, Knut von Salzen, Ann-Lise Norman, Martí Galí, and Maurice Levasseur
Atmos. Chem. Phys., 19, 6419–6435, https://doi.org/10.5194/acp-19-6419-2019, https://doi.org/10.5194/acp-19-6419-2019, 2019
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This study evaluates impacts of surface seawater dimethylsulfide on Arctic sulfate aerosol budget, changes in cloud droplet number concentration (CDNC), and cloud radiative forcing under current and future sea ice conditions using an atmospheric global climate model. In the future, sulfate wet removal efficiency is increased by enhanced precipitation; however, simulated aerosol nucleation rates are higher, which result in an overall increase in CDNC and negative cloud radiative forcing.
Jens K. Ehn, Rick A. Reynolds, Dariusz Stramski, David Doxaran, Bruno Lansard, and Marcel Babin
Biogeosciences, 16, 1583–1605, https://doi.org/10.5194/bg-16-1583-2019, https://doi.org/10.5194/bg-16-1583-2019, 2019
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Beam attenuation at 660 nm and suspended particle matter (SPM) relationships were determined during the MALINA cruise in August 2009 to the Canadian Beaufort Sea in order to expand our knowledge of particle distributions in Arctic shelf seas. The relationship was then used to determine SPM distributions for four other expeditions to the region. SPM patterns on the shelf were explained by an interplay between wind forcing, river discharge, and melting sea ice that controls the circulation.
Robin Bénard, Maurice Levasseur, Michael Scarratt, Sonia Michaud, Michel Starr, Alfonso Mucci, Gustavo Ferreyra, Michel Gosselin, Jean-Éric Tremblay, Martine Lizotte, and Gui-Peng Yang
Biogeosciences, 16, 1167–1185, https://doi.org/10.5194/bg-16-1167-2019, https://doi.org/10.5194/bg-16-1167-2019, 2019
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We present rare data on the combined effects of acidification and warming on dimethylsulfide (DMS) during a mesocosm experiment. Our results show a reduction of DMS under elevated pCO2, but warming the mesocosms by 5 °C translated into a positive offset in concentrations of DMS over the whole range of pCO2 tested. Our results suggest that warming could mitigate the expected reduction in DMS production due to OA, even increasing the net DMS production, with possible repercussions for the climate.
Jonathan P. D. Abbatt, W. Richard Leaitch, Amir A. Aliabadi, Allan K. Bertram, Jean-Pierre Blanchet, Aude Boivin-Rioux, Heiko Bozem, Julia Burkart, Rachel Y. W. Chang, Joannie Charette, Jai P. Chaubey, Robert J. Christensen, Ana Cirisan, Douglas B. Collins, Betty Croft, Joelle Dionne, Greg J. Evans, Christopher G. Fletcher, Martí Galí, Roya Ghahreman, Eric Girard, Wanmin Gong, Michel Gosselin, Margaux Gourdal, Sarah J. Hanna, Hakase Hayashida, Andreas B. Herber, Sareh Hesaraki, Peter Hoor, Lin Huang, Rachel Hussherr, Victoria E. Irish, Setigui A. Keita, John K. Kodros, Franziska Köllner, Felicia Kolonjari, Daniel Kunkel, Luis A. Ladino, Kathy Law, Maurice Levasseur, Quentin Libois, John Liggio, Martine Lizotte, Katrina M. Macdonald, Rashed Mahmood, Randall V. Martin, Ryan H. Mason, Lisa A. Miller, Alexander Moravek, Eric Mortenson, Emma L. Mungall, Jennifer G. Murphy, Maryam Namazi, Ann-Lise Norman, Norman T. O'Neill, Jeffrey R. Pierce, Lynn M. Russell, Johannes Schneider, Hannes Schulz, Sangeeta Sharma, Meng Si, Ralf M. Staebler, Nadja S. Steiner, Jennie L. Thomas, Knut von Salzen, Jeremy J. B. Wentzell, Megan D. Willis, Gregory R. Wentworth, Jun-Wei Xu, and Jacqueline D. Yakobi-Hancock
Atmos. Chem. Phys., 19, 2527–2560, https://doi.org/10.5194/acp-19-2527-2019, https://doi.org/10.5194/acp-19-2527-2019, 2019
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The Arctic is experiencing considerable environmental change with climate warming, illustrated by the dramatic decrease in sea-ice extent. It is important to understand both the natural and perturbed Arctic systems to gain a better understanding of how they will change in the future. This paper summarizes new insights into the relationships between Arctic aerosol particles and climate, as learned over the past five or so years by a large Canadian research consortium, NETCARE.
Marina Zamanillo, Eva Ortega-Retuerta, Sdena Nunes, Pablo Rodríguez-Ros, Manuel Dall'Osto, Marta Estrada, Maria Montserrat Sala, and Rafel Simó
Biogeosciences, 16, 733–749, https://doi.org/10.5194/bg-16-733-2019, https://doi.org/10.5194/bg-16-733-2019, 2019
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Many marine microorganisms produce polysaccharide-rich transparent exopolymer particles (TEPs) for rather unknown reasons but with important consequences for the ocean carbon cycle, sea–air gas exchange and formation of organic aerosols. Here we compare surface–ocean distributions of TEPs and physical, chemical and biological variables along a N–S transect in the Atlantic Ocean. Our data suggest that phytoplankton and not bacteria are the main TEP producers, and solar radiation acts as a sink.
Robin Bénard, Maurice Levasseur, Michael Scarratt, Marie-Amélie Blais, Alfonso Mucci, Gustavo Ferreyra, Michel Starr, Michel Gosselin, Jean-Éric Tremblay, and Martine Lizotte
Biogeosciences, 15, 4883–4904, https://doi.org/10.5194/bg-15-4883-2018, https://doi.org/10.5194/bg-15-4883-2018, 2018
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We investigated the combined effect of ocean acidification and warming on the dynamics of the phytoplankton fall boom in the Lower St. Lawrence Estuary, Canada. Twelve 2600 L mesocosms were used to cover a wide range of pH and two temperatures. We found that warming, rather than acidification, is more likely to alter the autumnal bloom in this estuary in the decades to come by stimulating the development and senescence of diatoms, and promoting picocyanobacteria proliferation.
Margaux Gourdal, Martine Lizotte, Guillaume Massé, Michel Gosselin, Michel Poulin, Michael Scarratt, Joannie Charette, and Maurice Levasseur
Biogeosciences, 15, 3169–3188, https://doi.org/10.5194/bg-15-3169-2018, https://doi.org/10.5194/bg-15-3169-2018, 2018
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Melt ponds (MP) forming over first year ice (FYI) represent a potential source of the climate-relevant gas dimethylsulfide (DMS) to the atmosphere. Nine MP were sampled in the Canadian Arctic Archipelago. DMS concentrations reaching up to 6 nmol L−1, twice the world's surface oceanic mean, were measured. Seawater intrusion appeared to seed MP with DMS-producing communities. DMS flux from Arctic MP is expected to increase in response to the expanding areal and temporal trends of MP on FYI.
Tereza Jarníková, John Dacey, Martine Lizotte, Maurice Levasseur, and Philippe Tortell
Biogeosciences, 15, 2449–2465, https://doi.org/10.5194/bg-15-2449-2018, https://doi.org/10.5194/bg-15-2449-2018, 2018
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This paper presents some of the first high-resolution measurements of a biologically-produced climate-active sulfur gas (dimethylsulfide – DMS) ever made in the Canadian Arctic, taken using two novel high-resolution sampling techniques aboard an icebreaker in the summer of 2015. We show increased concentrations of DMS and its precursors in frontal zones and areas of high sea ice accumulation. Our results provide a snapshot of climate-active gas dynamics in a rapidly changing Arctic.
Vincent Le Fouest, Atsushi Matsuoka, Manfredi Manizza, Mona Shernetsky, Bruno Tremblay, and Marcel Babin
Biogeosciences, 15, 1335–1346, https://doi.org/10.5194/bg-15-1335-2018, https://doi.org/10.5194/bg-15-1335-2018, 2018
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Climate warming could enhance the load of terrigenous dissolved organic carbon (tDOC) of Arctic rivers. We show that tDOC concentrations simulated by an ocean–biogeochemical model in the Canadian Beaufort Sea compare favorably with their satellite counterparts. Over spring–summer, riverine tDOC contributes to 35 % of primary production and an equivalent of ~ 10 % of tDOC is exported westwards with the potential for fueling the biological production of the eastern Alaskan nearshore waters.
Martine Lizotte, Maurice Levasseur, Cliff S. Law, Carolyn F. Walker, Karl A. Safi, Andrew Marriner, and Ronald P. Kiene
Ocean Sci., 13, 961–982, https://doi.org/10.5194/os-13-961-2017, https://doi.org/10.5194/os-13-961-2017, 2017
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During a 4-week oceanographic cruise in 2012, we investigated the water masses bordering the subtropical front near New Zealand as sources of the biogenic gas dimethyl sulfide (DMS). DMS oxidation products may influence the atmospheric radiative budget of the Earth. Concentrations of DMS were high in the study region and DMS's precursor, dimethylsulfoniopropionate, showed a strong association with phytoplankton biomass in relation to the persistent dominance of dinoflagellates/coccolithophores.
Douglas B. Collins, Julia Burkart, Rachel Y.-W. Chang, Martine Lizotte, Aude Boivin-Rioux, Marjolaine Blais, Emma L. Mungall, Matthew Boyer, Victoria E. Irish, Guillaume Massé, Daniel Kunkel, Jean-Éric Tremblay, Tim Papakyriakou, Allan K. Bertram, Heiko Bozem, Michel Gosselin, Maurice Levasseur, and Jonathan P. D. Abbatt
Atmos. Chem. Phys., 17, 13119–13138, https://doi.org/10.5194/acp-17-13119-2017, https://doi.org/10.5194/acp-17-13119-2017, 2017
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The sources of aerosol particles and their growth to sizes large enough to act as cloud droplet seeds is of major importance to climate since clouds exert substantial control over the atmospheric energy balance. Using ship-board measurements from two summers in the Canadian Arctic, aerosol formation events were related to co-sampled atmospheric and oceanic parameters, providing insight into factors that drive particle formation and motivating further study of ocean–atmosphere interactions.
Roya Ghahreman, Ann-Lise Norman, Betty Croft, Randall V. Martin, Jeffrey R. Pierce, Julia Burkart, Ofelia Rempillo, Heiko Bozem, Daniel Kunkel, Jennie L. Thomas, Amir A. Aliabadi, Gregory R. Wentworth, Maurice Levasseur, Ralf M. Staebler, Sangeeta Sharma, and W. Richard Leaitch
Atmos. Chem. Phys., 17, 8757–8770, https://doi.org/10.5194/acp-17-8757-2017, https://doi.org/10.5194/acp-17-8757-2017, 2017
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We present spring and summertime vertical profile measurements of Arctic dimethyl sulfide (DMS), together with model simulations to consider what these profiles indicate about DMS sources and lifetimes in the Arctic. Our results highlight the role of local open water as the source of DMS(g) during July 2014 and the influence of long-range transport of DMS(g) from further afield in the Arctic during April 2015.
Hakase Hayashida, Nadja Steiner, Adam Monahan, Virginie Galindo, Martine Lizotte, and Maurice Levasseur
Biogeosciences, 14, 3129–3155, https://doi.org/10.5194/bg-14-3129-2017, https://doi.org/10.5194/bg-14-3129-2017, 2017
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In remote regions, cloud conditions may be strongly influenced by oceanic source of dimethylsulfide (DMS) produced by plankton and bacteria. In the Arctic, sea ice provides an additional source of these aerosols. The results of this study highlight the importance of taking into account both the sea-ice sulfur cycle and ecosystem in the flux estimates of oceanic DMS near the ice margins and identify key uncertainties in processes and rates that would be better constrained by new observations.
Jost Heintzenberg, Peter Tunved, Martí Galí, and Caroline Leck
Atmos. Chem. Phys., 17, 6153–6175, https://doi.org/10.5194/acp-17-6153-2017, https://doi.org/10.5194/acp-17-6153-2017, 2017
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Events of new particle formation (NPF) were analyzed objectively in a 10-year data set of hourly particle size distributions recorded on Mt. Zeppelin, Spitsbergen, Svalbard. Three different types of NPF events were identified that were hypothesized to be different expressions of related source processes. Back trajectories and ancillary atmospheric and marine data strongly point to marine biogenic sources causing new particle formation in the summer Arctic.
Rachel Hussherr, Maurice Levasseur, Martine Lizotte, Jean-Éric Tremblay, Jacoba Mol, Helmuth Thomas, Michel Gosselin, Michel Starr, Lisa A. Miller, Tereza Jarniková, Nina Schuback, and Alfonso Mucci
Biogeosciences, 14, 2407–2427, https://doi.org/10.5194/bg-14-2407-2017, https://doi.org/10.5194/bg-14-2407-2017, 2017
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This study assesses the impact of ocean acidification on phytoplankton and its synthesis of the climate-active gas dimethyl sulfide (DMS), as well as its modulation, by two contrasting light regimes in the Arctic. The light regimes tested had no significant impact on either the phytoplankton or DMS concentration, whereas both variables decreased linearly with the decrease in pH. Thus, a rapid decrease in surface water pH could alter the algal biomass and inhibit DMS production in the Arctic.
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Pau Cortes, Birgit Quack, Rafel Simo, Dennis Booge, Andrea Pozzer, Tobias Steinhoff, Damian L. Arevalo-Martinez, Corinna Kloss, Astrid Bracher, Rüdiger Röttgers, Elliot Atlas, and Kirstin Krüger
Atmos. Chem. Phys., 17, 385–402, https://doi.org/10.5194/acp-17-385-2017, https://doi.org/10.5194/acp-17-385-2017, 2017
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We present new sea surface and marine boundary layer measurements of carbonyl sulfide, the most abundant sulfur gas in the atmosphere, and calculate an oceanic emission estimate. Our results imply that oceanic emissions are very unlikely to account for the missing source in the atmospheric budget that is currently discussed for OCS.
Amir A. Aliabadi, Jennie L. Thomas, Andreas B. Herber, Ralf M. Staebler, W. Richard Leaitch, Hannes Schulz, Kathy S. Law, Louis Marelle, Julia Burkart, Megan D. Willis, Heiko Bozem, Peter M. Hoor, Franziska Köllner, Johannes Schneider, Maurice Levasseur, and Jonathan P. D. Abbatt
Atmos. Chem. Phys., 16, 7899–7916, https://doi.org/10.5194/acp-16-7899-2016, https://doi.org/10.5194/acp-16-7899-2016, 2016
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For the first time, ship emissions of an ice-breaker, the Amundsen, is characterized while breaking ice in the Canadian Arctic using the plume intercepts by the Polar 6 aircraft. The study is novel, estimating lower plume expansion rates over the stable Arctic marine boundary layer and different emissions factors for oxides of nitrogen, black carbon, and carbon monoxide, compared to plume intercept studies in mid latitudes. These results can inform policy making and emission inventory datasets.
Emma L. Mungall, Betty Croft, Martine Lizotte, Jennie L. Thomas, Jennifer G. Murphy, Maurice Levasseur, Randall V. Martin, Jeremy J. B. Wentzell, John Liggio, and Jonathan P. D. Abbatt
Atmos. Chem. Phys., 16, 6665–6680, https://doi.org/10.5194/acp-16-6665-2016, https://doi.org/10.5194/acp-16-6665-2016, 2016
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Previous work has suggested that marine emissions of dimethyl sulfide (DMS) could impact the Arctic climate through interactions with clouds. We made the first high-time-resolution measurements of summertime atmospheric DMS in the Canadian Arctic, and performed source sensitivity simulations. We found that regional marine sources dominated, but do not appear to be sufficient to explain our observations. Understanding DMS sources in the Arctic is necessary to model future climate in the region.
Roya Ghahreman, Ann-Lise Norman, Jonathan P. D. Abbatt, Maurice Levasseur, and Jennie L. Thomas
Atmos. Chem. Phys., 16, 5191–5202, https://doi.org/10.5194/acp-16-5191-2016, https://doi.org/10.5194/acp-16-5191-2016, 2016
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Aerosols in six size fractions (> 0.49–7.0 microns) were collected in the Arctic (July 2014). The isotopic composition of sulfate aerosols was measured to determine the role of biogenic and anthropogenic sources in the growth of aerosols. More than 63 % of the average sulfate concentration in the fine aerosols (> 0.49 microns) was from biogenic sources. For some samples, the S isotope ratio values for SO2 and fine aerosols were close together, suggesting the same source for SO2 and aerosol sulfur.
Josiane Mélançon, Maurice Levasseur, Martine Lizotte, Michael Scarratt, Jean-Éric Tremblay, Philippe Tortell, Gui-Peng Yang, Guang-Yu Shi, Huiwang Gao, David Semeniuk, Marie Robert, Michael Arychuk, Keith Johnson, Nes Sutherland, Marty Davelaar, Nina Nemcek, Angelica Peña, and Wendy Richardson
Biogeosciences, 13, 1677–1692, https://doi.org/10.5194/bg-13-1677-2016, https://doi.org/10.5194/bg-13-1677-2016, 2016
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Ocean acidification is likely to affect iron-limited phytoplankton fertilization by desert dust. Short incubations of northeast subarctic Pacific waters enriched with dust and set at pH 8.0 and 7.8 were conducted. Acidification led to a significant reduction (by 16–38 %) of the final concentration of chl a reached after enrichment. These results show that dust deposition events in a low-pH iron-limited ocean are likely to stimulate phytoplankton growth to a lesser extent than in today's ocean.
Gregory R. Wentworth, Jennifer G. Murphy, Betty Croft, Randall V. Martin, Jeffrey R. Pierce, Jean-Sébastien Côté, Isabelle Courchesne, Jean-Éric Tremblay, Jonathan Gagnon, Jennie L. Thomas, Sangeeta Sharma, Desiree Toom-Sauntry, Alina Chivulescu, Maurice Levasseur, and Jonathan P. D. Abbatt
Atmos. Chem. Phys., 16, 1937–1953, https://doi.org/10.5194/acp-16-1937-2016, https://doi.org/10.5194/acp-16-1937-2016, 2016
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Air near the surface in the summertime Arctic is extremely clean and typically has very low concentrations of both gases and particles. However, atmospheric measurements taken throughout the Canadian Arctic in the summer of 2014 revealed higher-than-expected amounts of gaseous ammonia. It is likely the majority of this ammonia is coming from migratory seabird colonies throughout the Arctic. Seabird guano (dung) releases ammonia which could impact climate and sensitive Arctic ecosystems.
J.-C. Miquel, B. Gasser, J. Martín, C. Marec, M. Babin, L. Fortier, and A. Forest
Biogeosciences, 12, 5103–5117, https://doi.org/10.5194/bg-12-5103-2015, https://doi.org/10.5194/bg-12-5103-2015, 2015
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POC fluxes obtained in the Eastern Beaufort Sea in August 2009 from drifting sediment traps were low (1-15 mg C m-2d-1), compared to long-term data which show higher but variable fluxes (10-40 mg C m-2d-1).
Composition of sinking particles, especially faecal pellets, highlighted the role of the zooplankton community and its trophic structure in the transition of carbon from the productive surface zone to the deep ocean. Carbon flux at this season results from a heterotrophic driven ecosystem.
D. Doxaran, E. Devred, and M. Babin
Biogeosciences, 12, 3551–3565, https://doi.org/10.5194/bg-12-3551-2015, https://doi.org/10.5194/bg-12-3551-2015, 2015
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Eleven years (2003-2013) of satellite data were processed to observe the variations in suspended particulate matter concentrations at the mouth of the Mackenzie River and estimate the fluxes exported into the Canadian Arctic Ocean.
Results show that these concentrations at the river mouth, in the delta zone and in the river plume have increased by 46%, 71% and 33%, respectively, since 2003. This corresponds to a more than 50% increase in particulate export from the river into the Beaufort Sea.
V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin
Biogeosciences, 12, 3385–3402, https://doi.org/10.5194/bg-12-3385-2015, https://doi.org/10.5194/bg-12-3385-2015, 2015
P. Coupel, A. Matsuoka, D. Ruiz-Pino, M. Gosselin, D. Marie, J.-É. Tremblay, and M. Babin
Biogeosciences, 12, 991–1006, https://doi.org/10.5194/bg-12-991-2015, https://doi.org/10.5194/bg-12-991-2015, 2015
C. Prados-Roman, C. A. Cuevas, T. Hay, R. P. Fernandez, A. S. Mahajan, S.-J. Royer, M. Galí, R. Simó, J. Dachs, K. Großmann, D. E. Kinnison, J.-F. Lamarque, and A. Saiz-Lopez
Atmos. Chem. Phys., 15, 583–593, https://doi.org/10.5194/acp-15-583-2015, https://doi.org/10.5194/acp-15-583-2015, 2015
J.-É. Tremblay, P. Raimbault, N. Garcia, B. Lansard, M. Babin, and J. Gagnon
Biogeosciences, 11, 4853–4868, https://doi.org/10.5194/bg-11-4853-2014, https://doi.org/10.5194/bg-11-4853-2014, 2014
A. Matsuoka, M. Babin, D. Doxaran, S. B. Hooker, B. G. Mitchell, S. Bélanger, and A. Bricaud
Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, https://doi.org/10.5194/bg-11-3131-2014, 2014
A. Forest, P. Coupel, B. Else, S. Nahavandian, B. Lansard, P. Raimbault, T. Papakyriakou, Y. Gratton, L. Fortier, J.-É. Tremblay, and M. Babin
Biogeosciences, 11, 2827–2856, https://doi.org/10.5194/bg-11-2827-2014, https://doi.org/10.5194/bg-11-2827-2014, 2014
M. Galí, R. Simó, G. L. Pérez, C. Ruiz-González, H. Sarmento, S.-J. Royer, A. Fuentes-Lema, and J. M. Gasol
Biogeosciences, 10, 7983–7998, https://doi.org/10.5194/bg-10-7983-2013, https://doi.org/10.5194/bg-10-7983-2013, 2013
A. Taalba, H. Xie, M. G. Scarratt, S. Bélanger, and M. Levasseur
Biogeosciences, 10, 6793–6806, https://doi.org/10.5194/bg-10-6793-2013, https://doi.org/10.5194/bg-10-6793-2013, 2013
S. Bélanger, S. A. Cizmeli, J. Ehn, A. Matsuoka, D. Doxaran, S. Hooker, and M. Babin
Biogeosciences, 10, 6433–6452, https://doi.org/10.5194/bg-10-6433-2013, https://doi.org/10.5194/bg-10-6433-2013, 2013
V. Le Fouest, B. Zakardjian, H. Xie, P. Raimbault, F. Joux, and M. Babin
Biogeosciences, 10, 4785–4800, https://doi.org/10.5194/bg-10-4785-2013, https://doi.org/10.5194/bg-10-4785-2013, 2013
D. Antoine, S. B. Hooker, S. Bélanger, A. Matsuoka, and M. Babin
Biogeosciences, 10, 4493–4509, https://doi.org/10.5194/bg-10-4493-2013, https://doi.org/10.5194/bg-10-4493-2013, 2013
M. Ardyna, M. Babin, M. Gosselin, E. Devred, S. Bélanger, A. Matsuoka, and J.-É. Tremblay
Biogeosciences, 10, 4383–4404, https://doi.org/10.5194/bg-10-4383-2013, https://doi.org/10.5194/bg-10-4383-2013, 2013
S. Bélanger, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 4087–4101, https://doi.org/10.5194/bg-10-4087-2013, https://doi.org/10.5194/bg-10-4087-2013, 2013
G. Song, H. Xie, S. Bélanger, E. Leymarie, and M. Babin
Biogeosciences, 10, 3731–3748, https://doi.org/10.5194/bg-10-3731-2013, https://doi.org/10.5194/bg-10-3731-2013, 2013
V. Le Fouest, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 3661–3677, https://doi.org/10.5194/bg-10-3661-2013, https://doi.org/10.5194/bg-10-3661-2013, 2013
Y. Huot, M. Babin, and F. Bruyant
Biogeosciences, 10, 3445–3454, https://doi.org/10.5194/bg-10-3445-2013, https://doi.org/10.5194/bg-10-3445-2013, 2013
A. Forest, M. Babin, L. Stemmann, M. Picheral, M. Sampei, L. Fortier, Y. Gratton, S. Bélanger, E. Devred, J. Sahlin, D. Doxaran, F. Joux, E. Ortega-Retuerta, J. Martín, W. H. Jeffrey, B. Gasser, and J. Carlos Miquel
Biogeosciences, 10, 2833–2866, https://doi.org/10.5194/bg-10-2833-2013, https://doi.org/10.5194/bg-10-2833-2013, 2013
A. Matsuoka, S. B. Hooker, A. Bricaud, B. Gentili, and M. Babin
Biogeosciences, 10, 917–927, https://doi.org/10.5194/bg-10-917-2013, https://doi.org/10.5194/bg-10-917-2013, 2013
Related subject area
Biogeochemistry: Modelling, Aquatic
Changes in Arctic Ocean plankton community structure and trophic dynamics on seasonal to interannual timescales
Global impact of benthic denitrification on marine N2 fixation and primary production simulated by a variable-stoichiometry Earth system model
Efficiency metrics for ocean alkalinity enhancement under responsive and prescribed atmosphere conditions
Killing the predator: impacts of highest-predator mortality on the global-ocean ecosystem structure
Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana–Texas shelf – Part 1: roles of nutrient limitation and plankton community
Argon Saturation in a Suite of Coupled General Ocean Circulation Biogeochemical Models off Mauretania
Validation of the coupled physical–biogeochemical ocean model NEMO–SCOBI for the North Sea–Baltic Sea system
Investigating ecosystem connections in the shelf sea environment using complex networks
Seasonal and interannual variability of the pelagic ecosystem and of the organic carbon budget in the Rhodes Gyre (eastern Mediterranean): influence of winter mixing
How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?
Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model–data comparison and impact on the ocean carbon cycle
Riverine impact on future projections of marine primary production and carbon uptake
Subsurface oxygen maximum in oligotrophic marine ecosystems: mapping the interaction between physical and biogeochemical processes
Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach
Assessing the spatial and temporal variability of methylmercury biogeochemistry and bioaccumulation in the Mediterranean Sea with a coupled 3D model
Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana–Texas shelf – Part 2: statistical modeling and hypoxia prediction
Modelling the effects of benthic fauna on carbon, nitrogen and phosphorus dynamics in the Baltic Sea
Improved prediction of dimethyl sulfide (DMS) distributions in the northeast subarctic Pacific using machine-learning algorithms
Nutrient transport and transformation in macrotidal estuaries of the French Atlantic coast: a modeling approach using the Carbon-Generic Estuarine Model
A modelling study of temporal and spatial pCO2 variability on the biologically active and temperature-dominated Scotian Shelf
Modeling the marine chromium cycle: new constraints on global-scale processes
New insights into large-scale trends of apparent organic matter reactivity in marine sediments and patterns of benthic carbon transformation
Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models
Zooplankton mortality effects on the plankton community of the northern Humboldt Current System: sensitivity of a regional biogeochemical model
Multi-compartment kinetic–allometric (MCKA) model of radionuclide bioaccumulation in marine fish
Impact of bottom trawling on sediment biogeochemistry: a modelling approach
Cyanobacteria blooms in the Baltic Sea: a review of models and facts
Arctic Ocean acidification over the 21st century co-driven by anthropogenic carbon increases and freshening in the CMIP6 model ensemble
Modeling silicate–nitrate–ammonium co-limitation of algal growth and the importance of bacterial remineralization based on an experimental Arctic coastal spring bloom culture study
Role of jellyfish in the plankton ecosystem revealed using a global ocean biogeochemical model
Extreme event waves in marine ecosystems: an application to Mediterranean Sea surface chlorophyll
Use of optical absorption indices to assess seasonal variability of dissolved organic matter in Amazon floodplain lakes
The role of sediment-induced light attenuation on primary production during Hurricane Gustav (2008)
Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical–biogeochemical model
One size fits all? Calibrating an ocean biogeochemistry model for different circulations
Assessing the temporal scale of deep-sea mining impacts on sediment biogeochemistry
Seasonal patterns of surface inorganic carbon system variables in the Gulf of Mexico inferred from a regional high-resolution ocean biogeochemical model
Oxygen dynamics and evaluation of the single-station diel oxygen model across contrasting geologies
Oceanic CO2 outgassing and biological production hotspots induced by pre-industrial river loads of nutrients and carbon in a global modeling approach
Global trends in marine nitrate N isotopes from observations and a neural network-based climatology
Merging bio-optical data from Biogeochemical-Argo floats and models in marine biogeochemistry
Model constraints on the anthropogenic carbon budget of the Arctic Ocean
Modeling oceanic nitrate and nitrite concentrations and isotopes using a 3-D inverse N cycle model
Biogeochemical response of the Mediterranean Sea to the transient SRES-A2 climate change scenario
Modelling the biogeochemical effects of heterotrophic and autotrophic N2 fixation in the Gulf of Aqaba (Israel), Red Sea
A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations
Diazotrophy as the main driver of the oligotrophy gradient in the western tropical South Pacific Ocean: results from a one-dimensional biogeochemical–physical coupled model
Causes of simulated long-term changes in phytoplankton biomass in the Baltic proper: a wavelet analysis
Modelling N2 fixation related to Trichodesmium sp.: driving processes and impacts on primary production in the tropical Pacific Ocean
Gabriela Negrete-García, Jessica Y. Luo, Colleen M. Petrik, Manfredi Manizza, and Andrew D. Barton
Biogeosciences, 21, 4951–4973, https://doi.org/10.5194/bg-21-4951-2024, https://doi.org/10.5194/bg-21-4951-2024, 2024
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The Arctic Ocean experiences significant seasonal and year-to-year changes, impacting marine plankton populations. Using a plankton community model, we studied these effects on plankton communities and their influence on fish production. Our findings revealed earlier plankton blooms, shifts towards more carnivorous zooplankton, and increased fishery potential during summertime, especially in warmer years with less ice, highlighting the delicate balance of Arctic ecosystems.
Na Li, Christopher J. Somes, Angela Landolfi, Chia-Te Chien, Markus Pahlow, and Andreas Oschlies
Biogeosciences, 21, 4361–4380, https://doi.org/10.5194/bg-21-4361-2024, https://doi.org/10.5194/bg-21-4361-2024, 2024
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N is a crucial nutrient that limits phytoplankton growth in large ocean areas. The amount of oceanic N is governed by the balance of N2 fixation and denitrification. Here we incorporate benthic denitrification into an Earth system model with variable particulate stoichiometry. Our model compares better to the observed surface nutrient distributions, marine N2 fixation, and primary production. Benthic denitrification plays an important role in marine N and C cycling and hence the global climate.
Michael Dominik Tyka
EGUsphere, https://doi.org/10.5194/egusphere-2024-2150, https://doi.org/10.5194/egusphere-2024-2150, 2024
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Marine CO2 removal (mCDR) is a promising technology for removing legacy emissions from the atmosphere. Its indirect nature makes it difficult to assess experimentally; instead one relies heavily on simulation. Many past papers treated the atmosphere as non-responsive to the intervention studied. We show that even under these simplified assumptions, the increase in ocean CO2 inventory is equal to the equivalent quantity of direct CO2 removals occurring over time, in a realistic atmosphere.
David Talmy, Eric Carr, Harshana Rajakaruna, Selina Våge, and Anne Willem Omta
Biogeosciences, 21, 2493–2507, https://doi.org/10.5194/bg-21-2493-2024, https://doi.org/10.5194/bg-21-2493-2024, 2024
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The structure of plankton communities is central to global cycles of carbon, nitrogen, and other elements. This study explored the sensitivity of different assumptions about highest-predator mortality in ecosystem models with contrasting food web structures. In the context of environmental data, we find support for models assuming a density-dependent mortality of the highest predator, irrespective of assumed food web structure.
Yanda Ou and Z. George Xue
Biogeosciences, 21, 2385–2424, https://doi.org/10.5194/bg-21-2385-2024, https://doi.org/10.5194/bg-21-2385-2024, 2024
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Developed for the Gulf of Mexico (2006–2020), a 3D hydrodynamic–biogeochemical model validated against in situ data reveals the impact of nutrients and plankton diversity on dissolved oxygen dynamics. It highlights the role of physical processes, sediment oxygen consumption, and nutrient distribution in shaping bottom oxygen levels and hypoxia. The model underscores the importance of complex plankton interactions for understanding primary production and hypoxia evolution.
Heiner Dietze and Ulrike Löptien
EGUsphere, https://doi.org/10.5194/egusphere-2024-918, https://doi.org/10.5194/egusphere-2024-918, 2024
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We introduce argon saturation as a prognostic variable in a suite of coupled general ocean circulation biogeochemical models off Mauretania. Our results indicate that the effect of increasing the spatial horizontal model resolutions from 12 km to 1.5 km leads to changes comparable to other infamous spurious effects of state-of-the-art numerical advection numerics.
Itzel Ruvalcaba Baroni, Elin Almroth-Rosell, Lars Axell, Sam T. Fredriksson, Jenny Hieronymus, Magnus Hieronymus, Sandra-Esther Brunnabend, Matthias Gröger, Ivan Kuznetsov, Filippa Fransner, Robinson Hordoir, Saeed Falahat, and Lars Arneborg
Biogeosciences, 21, 2087–2132, https://doi.org/10.5194/bg-21-2087-2024, https://doi.org/10.5194/bg-21-2087-2024, 2024
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The health of the Baltic and North seas is threatened due to high anthropogenic pressure; thus, different methods to assess the status of these regions are urgently needed. Here, we validated a novel model simulating the ocean dynamics and biogeochemistry of the Baltic and North seas that can be used to create future climate and nutrient scenarios, contribute to European initiatives on de-eutrophication, and provide water quality advice and support on nutrient load reductions for both seas.
Ieuan Higgs, Jozef Skákala, Ross Bannister, Alberto Carrassi, and Stefano Ciavatta
Biogeosciences, 21, 731–746, https://doi.org/10.5194/bg-21-731-2024, https://doi.org/10.5194/bg-21-731-2024, 2024
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A complex network is a way of representing which parts of a system are connected to other parts. We have constructed a complex network based on an ecosystem–ocean model. From this, we can identify patterns in the structure and areas of similar behaviour. This can help to understand how natural, or human-made, changes will affect the shelf sea ecosystem, and it can be used in multiple future applications such as improving modelling, data assimilation, or machine learning.
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.
Masihullah Hasanyar, Thomas Romary, Shuaitao Wang, and Nicolas Flipo
Biogeosciences, 20, 1621–1633, https://doi.org/10.5194/bg-20-1621-2023, https://doi.org/10.5194/bg-20-1621-2023, 2023
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The results of this study indicate that biodegradable dissolved organic matter is responsible for oxygen depletion at low flow during summer seasons when heterotrophic bacterial activity is so intense. Therefore, the dissolved organic matter must be well measured in the water monitoring networks in order to have more accurate water quality models. It also advocates for high-frequency data collection for better quantification of the uncertainties related to organic matter.
Xiangyu Liu and Qianlai Zhuang
Biogeosciences, 20, 1181–1193, https://doi.org/10.5194/bg-20-1181-2023, https://doi.org/10.5194/bg-20-1181-2023, 2023
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We are among the first to quantify methane emissions from inland water system in the pan-Arctic. The total CH4 emissions are 36.46 Tg CH4 yr−1 during 2000–2015, of which wetlands and lakes were 21.69 Tg yr−1 and 14.76 Tg yr−1, respectively. By using two non-overlap area change datasets with land and lake models, our simulation avoids small lakes being counted twice as both lake and wetland, and it narrows the gap between two different methods used to quantify regional CH4 emissions.
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.
Shuang Gao, Jörg Schwinger, Jerry Tjiputra, Ingo Bethke, Jens Hartmann, Emilio Mayorga, and Christoph Heinze
Biogeosciences, 20, 93–119, https://doi.org/10.5194/bg-20-93-2023, https://doi.org/10.5194/bg-20-93-2023, 2023
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We assess the impact of riverine nutrients and carbon (C) on projected marine primary production (PP) and C uptake using a fully coupled Earth system model. Riverine inputs alleviate nutrient limitation and thus lessen the projected PP decline by up to 0.7 Pg C yr−1 globally. The effect of increased riverine C may be larger than the effect of nutrient inputs in the future on the projected ocean C uptake, while in the historical period increased nutrient inputs are considered the largest driver.
Valeria Di Biagio, Stefano Salon, Laura Feudale, and Gianpiero Cossarini
Biogeosciences, 19, 5553–5574, https://doi.org/10.5194/bg-19-5553-2022, https://doi.org/10.5194/bg-19-5553-2022, 2022
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The amount of dissolved oxygen in the ocean is the result of interacting physical and biological processes. Oxygen vertical profiles show a subsurface maximum in a large part of the ocean. We used a numerical model to map this subsurface maximum in the Mediterranean Sea and to link local differences in its properties to the driving processes. This emerging feature can help the marine ecosystem functioning to be better understood, also under the impacts of climate change.
Michael R. Stukel, Moira Décima, and Michael R. Landry
Biogeosciences, 19, 3595–3624, https://doi.org/10.5194/bg-19-3595-2022, https://doi.org/10.5194/bg-19-3595-2022, 2022
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The biological carbon pump (BCP) transports carbon into the deep ocean, leading to long-term marine carbon sequestration. It is driven by many physical, chemical, and ecological processes. We developed a model of the BCP constrained using data from 11 cruises in 4 different ocean regions. Our results show that sinking particles and vertical mixing are more important than transport mediated by vertically migrating zooplankton. They also highlight the uncertainty in current estimates of the BCP.
Ginevra Rosati, Donata Canu, Paolo Lazzari, and Cosimo Solidoro
Biogeosciences, 19, 3663–3682, https://doi.org/10.5194/bg-19-3663-2022, https://doi.org/10.5194/bg-19-3663-2022, 2022
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Methylmercury (MeHg) is produced and bioaccumulated in marine food webs, posing concerns for human exposure through seafood consumption. We modeled and analyzed the fate of MeHg in the lower food web of the Mediterranean Sea. The modeled spatial–temporal distribution of plankton bioaccumulation differs from the distribution of MeHg in surface water. We also show that MeHg exposure concentrations in temperate waters can be lowered by winter convection, which is declining due to climate change.
Yanda Ou, Bin Li, and Z. George Xue
Biogeosciences, 19, 3575–3593, https://doi.org/10.5194/bg-19-3575-2022, https://doi.org/10.5194/bg-19-3575-2022, 2022
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Over the past decades, the Louisiana–Texas shelf has been suffering recurring hypoxia (dissolved oxygen < 2 mg L−1). We developed a novel prediction model using state-of-the-art statistical techniques based on physical and biogeochemical data provided by a numerical model. The model can capture both the magnitude and onset of the annual hypoxia events. This study also demonstrates that it is possible to use a global model forecast to predict regional ocean water quality.
Eva Ehrnsten, Oleg Pavlovitch Savchuk, and Bo Gustav Gustafsson
Biogeosciences, 19, 3337–3367, https://doi.org/10.5194/bg-19-3337-2022, https://doi.org/10.5194/bg-19-3337-2022, 2022
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We studied the effects of benthic fauna, animals living on or in the seafloor, on the biogeochemical cycles of carbon, nitrogen and phosphorus using a model of the Baltic Sea ecosystem. By eating and excreting, the animals transform a large part of organic matter sinking to the seafloor into inorganic forms, which fuel plankton blooms. Simultaneously, when they move around (bioturbate), phosphorus is bound in the sediments. This reduces nitrogen-fixing plankton blooms and oxygen depletion.
Brandon J. McNabb and Philippe D. Tortell
Biogeosciences, 19, 1705–1721, https://doi.org/10.5194/bg-19-1705-2022, https://doi.org/10.5194/bg-19-1705-2022, 2022
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The trace gas dimethyl sulfide (DMS) plays an important role in the ocean sulfur cycle and can also influence Earth’s climate. Our study used two statistical methods to predict surface ocean concentrations and rates of sea–air exchange of DMS in the northeast subarctic Pacific. Our results show improved predictive power over previous approaches and suggest that nutrient availability, light-dependent processes, and physical mixing may be important controls on DMS in this region.
Xi Wei, Josette Garnier, Vincent Thieu, Paul Passy, Romain Le Gendre, Gilles Billen, Maia Akopian, and Goulven Gildas Laruelle
Biogeosciences, 19, 931–955, https://doi.org/10.5194/bg-19-931-2022, https://doi.org/10.5194/bg-19-931-2022, 2022
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Estuaries are key reactive ecosystems along the land–ocean aquatic continuum and are often strongly impacted by anthropogenic activities. We calculated nutrient in and out fluxes by using a 1-D transient model for seven estuaries along the French Atlantic coast. Among these, large estuaries with high residence times showed higher retention rates than medium and small ones. All reveal coastal eutrophication due to the excess of diffused nitrogen from intensive agricultural river basins.
Krysten Rutherford, Katja Fennel, Dariia Atamanchuk, Douglas Wallace, and Helmuth Thomas
Biogeosciences, 18, 6271–6286, https://doi.org/10.5194/bg-18-6271-2021, https://doi.org/10.5194/bg-18-6271-2021, 2021
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Using a regional model of the northwestern North Atlantic shelves in combination with a surface water time series and repeat transect observations, we investigate surface CO2 variability on the Scotian Shelf. The study highlights a strong seasonal cycle in shelf-wide pCO2 and spatial variability throughout the summer months driven by physical events. The simulated net flux of CO2 on the Scotian Shelf is out of the ocean, deviating from the global air–sea CO2 flux trend in continental shelves.
Frerk Pöppelmeier, David J. Janssen, Samuel L. Jaccard, and Thomas F. Stocker
Biogeosciences, 18, 5447–5463, https://doi.org/10.5194/bg-18-5447-2021, https://doi.org/10.5194/bg-18-5447-2021, 2021
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Chromium (Cr) is a redox-sensitive element that holds promise as a tracer of ocean oxygenation and biological activity. We here implemented the oxidation states Cr(III) and Cr(VI) in the Bern3D model to investigate the processes that shape the global Cr distribution. We find a Cr ocean residence time of 5–8 kyr and that the benthic source dominates the tracer budget. Further, regional model–data mismatches suggest strong Cr removal in oxygen minimum zones and a spatially variable benthic source.
Felipe S. Freitas, Philip A. Pika, Sabine Kasten, Bo B. Jørgensen, Jens Rassmann, Christophe Rabouille, Shaun Thomas, Henrik Sass, Richard D. Pancost, and Sandra Arndt
Biogeosciences, 18, 4651–4679, https://doi.org/10.5194/bg-18-4651-2021, https://doi.org/10.5194/bg-18-4651-2021, 2021
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It remains challenging to fully understand what controls carbon burial in marine sediments globally. Thus, we use a model–data approach to identify patterns of organic matter reactivity at the seafloor across distinct environmental conditions. Our findings support the notion that organic matter reactivity is a dynamic ecosystem property and strongly influences biogeochemical cycling and exchange. Our results are essential to improve predictions of future changes in carbon cycling and climate.
Josué Bock, Martine Michou, Pierre Nabat, Manabu Abe, Jane P. Mulcahy, Dirk J. L. Olivié, Jörg Schwinger, Parvadha Suntharalingam, Jerry Tjiputra, Marco van Hulten, Michio Watanabe, Andrew Yool, and Roland Séférian
Biogeosciences, 18, 3823–3860, https://doi.org/10.5194/bg-18-3823-2021, https://doi.org/10.5194/bg-18-3823-2021, 2021
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In this study we analyse surface ocean dimethylsulfide (DMS) concentration and flux to the atmosphere from four CMIP6 Earth system models over the historical and ssp585 simulations.
Our analysis of contemporary (1980–2009) climatologies shows that models better reproduce observations in mid to high latitudes. The models disagree on the sign of the trend of the global DMS flux from 1980 onwards. The models agree on a positive trend of DMS over polar latitudes following sea-ice retreat dynamics.
Mariana Hill Cruz, Iris Kriest, Yonss Saranga José, Rainer Kiko, Helena Hauss, and Andreas Oschlies
Biogeosciences, 18, 2891–2916, https://doi.org/10.5194/bg-18-2891-2021, https://doi.org/10.5194/bg-18-2891-2021, 2021
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In this study we use a regional biogeochemical model of the eastern tropical South Pacific Ocean to implicitly simulate the effect that fluctuations in populations of small pelagic fish, such as anchovy and sardine, may have on the biogeochemistry of the northern Humboldt Current System. To do so, we vary the zooplankton mortality in the model, under the assumption that these fishes eat zooplankton. We also evaluate the model for the first time against mesozooplankton observations.
Roman Bezhenar, Kyeong Ok Kim, Vladimir Maderich, Govert de With, and Kyung Tae Jung
Biogeosciences, 18, 2591–2607, https://doi.org/10.5194/bg-18-2591-2021, https://doi.org/10.5194/bg-18-2591-2021, 2021
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A new approach to predicting the accumulation of radionuclides in fish was developed by taking into account heterogeneity of distribution of contamination in the organism and dependence of metabolic process rates on the fish mass. Predicted concentrations of radionuclides in fish agreed well with the laboratory and field measurements. The model with the defined generic parameters could be used in marine environments without local calibration, which is important for emergency decision support.
Emil De Borger, Justin Tiano, Ulrike Braeckman, Adriaan D. Rijnsdorp, and Karline Soetaert
Biogeosciences, 18, 2539–2557, https://doi.org/10.5194/bg-18-2539-2021, https://doi.org/10.5194/bg-18-2539-2021, 2021
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Bottom trawling alters benthic mineralization: the recycling of organic material (OM) to free nutrients. To better understand how this occurs, trawling events were added to a model of seafloor OM recycling. Results show that bottom trawling reduces OM and free nutrients in sediments through direct removal thereof and of fauna which transport OM to deeper sediment layers protected from fishing. Our results support temporospatial trawl restrictions to allow key sediment functions to recover.
Britta Munkes, Ulrike Löptien, and Heiner Dietze
Biogeosciences, 18, 2347–2378, https://doi.org/10.5194/bg-18-2347-2021, https://doi.org/10.5194/bg-18-2347-2021, 2021
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Cyanobacteria blooms can strongly aggravate eutrophication problems of water bodies. Their controls are, however, not comprehensively understood, which impedes effective management and protection plans. Here we review the current understanding of cyanobacteria blooms. Juxtaposition of respective field and laboratory studies with state-of-the-art mathematical models reveals substantial uncertainty associated with nutrient demands, grazing, and death of cyanobacteria.
Jens Terhaar, Olivier Torres, Timothée Bourgeois, and Lester Kwiatkowski
Biogeosciences, 18, 2221–2240, https://doi.org/10.5194/bg-18-2221-2021, https://doi.org/10.5194/bg-18-2221-2021, 2021
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The uptake of carbon, emitted as a result of human activities, results in ocean acidification. We analyse 21st-century projections of acidification in the Arctic Ocean, a region of particular vulnerability, using the latest generation of Earth system models. In this new generation of models there is a large decrease in the uncertainty associated with projections of Arctic Ocean acidification, with freshening playing a greater role in driving acidification than previously simulated.
Tobias R. Vonnahme, Martial Leroy, Silke Thoms, Dick van Oevelen, H. Rodger Harvey, Svein Kristiansen, Rolf Gradinger, Ulrike Dietrich, and Christoph Völker
Biogeosciences, 18, 1719–1747, https://doi.org/10.5194/bg-18-1719-2021, https://doi.org/10.5194/bg-18-1719-2021, 2021
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Diatoms are crucial for Arctic coastal spring blooms, and their growth is controlled by nutrients and light. At the end of the bloom, inorganic nitrogen or silicon can be limiting, but nitrogen can be regenerated by bacteria, extending the algal growth phase. Modeling these multi-nutrient dynamics and the role of bacteria is challenging yet crucial for accurate modeling. We recreated spring bloom dynamics in a cultivation experiment and developed a representative dynamic model.
Rebecca M. Wright, Corinne Le Quéré, Erik Buitenhuis, Sophie Pitois, and Mark J. Gibbons
Biogeosciences, 18, 1291–1320, https://doi.org/10.5194/bg-18-1291-2021, https://doi.org/10.5194/bg-18-1291-2021, 2021
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Jellyfish have been included in a global ocean biogeochemical model for the first time. The global mean jellyfish biomass in the model is within the observational range. Jellyfish are found to play an important role in the plankton ecosystem, influencing community structure, spatiotemporal dynamics and biomass. The model raises questions about the sensitivity of the zooplankton community to jellyfish mortality and the interactions between macrozooplankton and jellyfish.
Valeria Di Biagio, Gianpiero Cossarini, Stefano Salon, and Cosimo Solidoro
Biogeosciences, 17, 5967–5988, https://doi.org/10.5194/bg-17-5967-2020, https://doi.org/10.5194/bg-17-5967-2020, 2020
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Events that influence the functioning of the Earth’s ecosystems are of interest in relation to a changing climate. We propose a method to identify and characterise
wavesof extreme events affecting marine ecosystems for multi-week periods over wide areas. Our method can be applied to suitable ecosystem variables and has been used to describe different kinds of extreme event waves of phytoplankton chlorophyll in the Mediterranean Sea, by analysing the output from a high-resolution model.
Maria Paula da Silva, Lino A. Sander de Carvalho, Evlyn Novo, Daniel S. F. Jorge, and Claudio C. F. Barbosa
Biogeosciences, 17, 5355–5364, https://doi.org/10.5194/bg-17-5355-2020, https://doi.org/10.5194/bg-17-5355-2020, 2020
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In this study, we analyze the seasonal changes in the dissolved organic matter (DOM) quality (based on its optical properties) in four Amazon floodplain lakes. DOM plays a fundamental role in surface water chemistry, controlling metal bioavailability and mobility, and nutrient cycling. The model proposed in our paper highlights the potential to study DOM quality at a wider spatial scale, which may help to better understand the persistence and fate of DOM in the ecosystem.
Zhengchen Zang, Z. George Xue, Kehui Xu, Samuel J. Bentley, Qin Chen, Eurico J. D'Sa, Le Zhang, and Yanda Ou
Biogeosciences, 17, 5043–5055, https://doi.org/10.5194/bg-17-5043-2020, https://doi.org/10.5194/bg-17-5043-2020, 2020
Taylor A. Shropshire, Steven L. Morey, Eric P. Chassignet, Alexandra Bozec, Victoria J. Coles, Michael R. Landry, Rasmus Swalethorp, Glenn Zapfe, and Michael R. Stukel
Biogeosciences, 17, 3385–3407, https://doi.org/10.5194/bg-17-3385-2020, https://doi.org/10.5194/bg-17-3385-2020, 2020
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Zooplankton are the smallest animals in the ocean and important food for fish. Despite their importance, zooplankton have been relatively undersampled. To better understand the zooplankton community in the Gulf of Mexico (GoM), we developed a model to simulate their dynamics. We found that heterotrophic protists are important for supporting mesozooplankton, which are the primary prey of larval fish. The model developed in this study has the potential to improve fisheries management in the GoM.
Iris Kriest, Paul Kähler, Wolfgang Koeve, Karin Kvale, Volkmar Sauerland, and Andreas Oschlies
Biogeosciences, 17, 3057–3082, https://doi.org/10.5194/bg-17-3057-2020, https://doi.org/10.5194/bg-17-3057-2020, 2020
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Constants of global biogeochemical ocean models are often tuned
by handto match observations of nutrients or oxygen. We investigate the effect of this tuning by optimising six constants of a global biogeochemical model, simulated in five different offline circulations. Optimal values for three constants adjust to distinct features of the circulation applied and can afterwards be swapped among the circulations, without losing too much of the model's fit to observed quantities.
Laura Haffert, Matthias Haeckel, Henko de Stigter, and Felix Janssen
Biogeosciences, 17, 2767–2789, https://doi.org/10.5194/bg-17-2767-2020, https://doi.org/10.5194/bg-17-2767-2020, 2020
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Deep-sea mining for polymetallic nodules is expected to have severe environmental impacts. Through prognostic modelling, this study aims to provide a holistic assessment of the biogeochemical recovery after a disturbance event. It was found that the recovery strongly depends on the impact type; e.g. complete removal of the surface sediment reduces seafloor nutrient fluxes over centuries.
Fabian A. Gomez, Rik Wanninkhof, Leticia Barbero, Sang-Ki Lee, and Frank J. Hernandez Jr.
Biogeosciences, 17, 1685–1700, https://doi.org/10.5194/bg-17-1685-2020, https://doi.org/10.5194/bg-17-1685-2020, 2020
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We use a numerical model to infer annual changes of surface carbon chemistry in the Gulf of Mexico (GoM). The main seasonality drivers of partial pressure of carbon dioxide and aragonite saturation state from the model are temperature and river runoff. The GoM basin is a carbon sink in winter–spring and carbon source in summer–fall, but uptake prevails near the Mississippi Delta year-round due to high biological production. Our model results show good correspondence with observational studies.
Simon J. Parker
Biogeosciences, 17, 305–315, https://doi.org/10.5194/bg-17-305-2020, https://doi.org/10.5194/bg-17-305-2020, 2020
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Dissolved oxygen (DO) models typically assume constant ecosystem respiration over the course of a single day. Using a data-driven approach, this research examines this assumption in four streams across two (hydro-)geological types (Chalk and Greensand). Despite hydrogeological equivalence in terms of baseflow index for each hydrogeological pairing, model suitability differed within, rather than across, geology types. This corresponded with associated differences in timings of DO minima.
Fabrice Lacroix, Tatiana Ilyina, and Jens Hartmann
Biogeosciences, 17, 55–88, https://doi.org/10.5194/bg-17-55-2020, https://doi.org/10.5194/bg-17-55-2020, 2020
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Contributions of rivers to the oceanic cycling of carbon have been poorly represented in global models until now. Here, we assess the long–term implications of preindustrial riverine loads in the ocean in a novel framework which estimates the loads through a hierarchy of weathering and land–ocean export models. We investigate their impacts for the oceanic biological production and air–sea carbon flux. Finally, we assess the potential incorporation of the framework in an Earth system model.
Patrick A. Rafter, Aaron Bagnell, Dario Marconi, and Timothy DeVries
Biogeosciences, 16, 2617–2633, https://doi.org/10.5194/bg-16-2617-2019, https://doi.org/10.5194/bg-16-2617-2019, 2019
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The N isotopic composition of nitrate (
nitrate δ15N) is a useful tracer of ocean N cycling and many other ocean processes. Here, we use a global compilation of marine nitrate δ15N as an input, training, and validating dataset for an artificial neural network (a.k.a.,
machine learning) and examine basin-scale trends in marine nitrate δ15N from the surface to the seafloor.
Elena Terzić, Paolo Lazzari, Emanuele Organelli, Cosimo Solidoro, Stefano Salon, Fabrizio D'Ortenzio, and Pascal Conan
Biogeosciences, 16, 2527–2542, https://doi.org/10.5194/bg-16-2527-2019, https://doi.org/10.5194/bg-16-2527-2019, 2019
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Measuring ecosystem properties in the ocean is a hard business. Recent availability of data from Biogeochemical-Argo floats can help make this task easier. Numerical models can integrate these new data in a coherent picture and can be used to investigate the functioning of ecosystem processes. Our new approach merges experimental information and model capabilities to quantitatively demonstrate the importance of light and water vertical mixing for algae dynamics in the Mediterranean Sea.
Jens Terhaar, James C. Orr, Marion Gehlen, Christian Ethé, and Laurent Bopp
Biogeosciences, 16, 2343–2367, https://doi.org/10.5194/bg-16-2343-2019, https://doi.org/10.5194/bg-16-2343-2019, 2019
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A budget of anthropogenic carbon in the Arctic Ocean, the main driver of open-ocean acidification, was constructed for the first time using a high-resolution ocean model. The budget reveals that anthropogenic carbon enters the Arctic Ocean mainly by lateral transport; the air–sea flux plays a minor role. Coarser-resolution versions of the same model, typical of earth system models, store less anthropogenic carbon in the Arctic Ocean and thus underestimate ocean acidification in the Arctic Ocean.
Taylor S. Martin, François Primeau, and Karen L. Casciotti
Biogeosciences, 16, 347–367, https://doi.org/10.5194/bg-16-347-2019, https://doi.org/10.5194/bg-16-347-2019, 2019
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Nitrite is a key intermediate in many nitrogen (N) cycling processes in the ocean, particularly in areas with low oxygen that are hotspots for N loss. We have created a 3-D global N cycle model with nitrite as a tracer. Stable isotopes of N are also included in the model and we are able to model the isotope fractionation associated with each N cycling process. Our model accurately represents N concentrations and isotope distributions in the ocean.
Camille Richon, Jean-Claude Dutay, Laurent Bopp, Briac Le Vu, James C. Orr, Samuel Somot, and François Dulac
Biogeosciences, 16, 135–165, https://doi.org/10.5194/bg-16-135-2019, https://doi.org/10.5194/bg-16-135-2019, 2019
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We evaluate the effects of climate change and biogeochemical forcing evolution on the nutrient and plankton cycles of the Mediterranean Sea for the first time. We use a high-resolution coupled physical and biogeochemical model and perform 120-year transient simulations. The results indicate that changes in external nutrient fluxes and climate change may have synergistic or antagonistic effects on nutrient concentrations, depending on the region and the scenario.
Angela M. Kuhn, Katja Fennel, and Ilana Berman-Frank
Biogeosciences, 15, 7379–7401, https://doi.org/10.5194/bg-15-7379-2018, https://doi.org/10.5194/bg-15-7379-2018, 2018
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Recent studies demonstrate that marine N2 fixation can be carried out without light. However, direct measurements of N2 fixation in dark environments are relatively scarce. This study uses a model that represents biogeochemical cycles at a deep-ocean location in the Gulf of Aqaba (Red Sea). Different model versions are used to test assumptions about N2 fixers. Relaxing light limitation for marine N2 fixers improved the similarity between model results and observations of deep nitrate and oxygen.
Prima Anugerahanti, Shovonlal Roy, and Keith Haines
Biogeosciences, 15, 6685–6711, https://doi.org/10.5194/bg-15-6685-2018, https://doi.org/10.5194/bg-15-6685-2018, 2018
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Minor changes in the biogeochemical model equations lead to major dynamical changes. We assessed this structural sensitivity for the MEDUSA biogeochemical model on chlorophyll and nitrogen concentrations at five oceanographic stations over 10 years, using 1-D ensembles generated by combining different process equations. The ensemble performed better than the default model in most of the stations, suggesting that our approach is useful for generating a probabilistic biogeochemical ensemble model.
Audrey Gimenez, Melika Baklouti, Thibaut Wagener, and Thierry Moutin
Biogeosciences, 15, 6573–6589, https://doi.org/10.5194/bg-15-6573-2018, https://doi.org/10.5194/bg-15-6573-2018, 2018
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During the OUTPACE cruise conducted in the oligotrophic to ultra-oligotrophic region of the western tropical South Pacific, two contrasted regions were sampled in terms of N2 fixation rates, primary production rates and nutrient availability. The aim of this work was to investigate the role of N2 fixation in the differences observed between the two contrasted areas by comparing two simulations only differing by the presence or not of N2 fixers using a 1-D biogeochemical–physical coupled model.
Jenny Hieronymus, Kari Eilola, Magnus Hieronymus, H. E. Markus Meier, Sofia Saraiva, and Bengt Karlson
Biogeosciences, 15, 5113–5129, https://doi.org/10.5194/bg-15-5113-2018, https://doi.org/10.5194/bg-15-5113-2018, 2018
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This paper investigates how phytoplankton concentrations in the Baltic Sea co-vary with nutrient concentrations and other key variables on inter-annual timescales in a model integration over the years 1850–2008. The study area is not only affected by climate change; it has also been subjected to greatly increased nutrient loads due to extensive use of agricultural fertilizers. The results indicate the largest inter-annual coherence of phytoplankton with the limiting nutrient.
Cyril Dutheil, Olivier Aumont, Thomas Gorguès, Anne Lorrain, Sophie Bonnet, Martine Rodier, Cécile Dupouy, Takuhei Shiozaki, and Christophe Menkes
Biogeosciences, 15, 4333–4352, https://doi.org/10.5194/bg-15-4333-2018, https://doi.org/10.5194/bg-15-4333-2018, 2018
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N2 fixation is recognized as one of the major sources of nitrogen in the ocean. Thus, N2 fixation sustains a significant part of the primary production (PP) by supplying the most common limiting nutrient for phytoplankton growth. From numerical simulations, the local maximums of Trichodesmium biomass in the Pacific are found around islands, explained by the iron fluxes from island sediments. We assessed that 15 % of the PP may be due to Trichodesmium in the low-nutrient, low-chlorophyll areas.
Cited articles
Alcolombri, U., Ben-Dor, S., Feldmesser, E., Levin, Y., Tawfik, D. S., and Vardi, A.:
Identification of the algal dimethyl sulfide-releasing enzyme: A missing link in the marine sulfur cycle, Science, 348, 1466–1469, 2015.
Archer, S. D., Cummings, D., Llewellyn, C., and Fishwick, J.: Phytoplankton
taxa, irradiance and nutrient availability determine the seasonal cycle of
DMSP in temperate shelf seas, Mar. Ecol.-Prog. Ser., 394, 111–124,
https://doi.org/10.3354/meps08284, 2009.
Archer, S. D., Ragni, M., Webster, R., Airs, R. L., and Geider, R. J.:
Dimethyl sulfoniopropionate and dimethyl sulfide production in response to
photoinhibition in Emiliania huxleyi, Limnol. Oceanogr., 55, 1579–1589,
https://doi.org/10.4319/lo.2010.55.4.1579, 2010.
Asher, E., Dacey, J. W., Ianson, D., Peña, M. A., and Tortell, P. D.:
Concentrations and cycling of DMS, DMSP, and DMSO in coastal and offshore
waters of the Subarctic Pacific during summer, 2010–2011, J. Geophys.
Res.-Oceans, 119, 7123–7138, https://doi.org/10.1002/2014JC010066, 2017.
Bailey, K. E., Toole, D. A., Blomquist, B., Najjar, R. G., Huebert, B.,
Kieber, D. J., Kiene, R. P., Matrai, P., Westby, G. R., and del Valle, D. A.:
Dimethylsulfide production in Sargasso Sea eddies, Deep-Sea Res. Pt. II, 55,
1491–1504, https://doi.org/10.1016/j.dsr2.2008.02.011, 2008.
Belviso, S., Masotti, I., Tagliabue, A., Bopp, L., Brockmann, P., Fichot, C.,
Caniaux, G., Prieur, L., Ras, J., Uitz, J., Loisel, H., Dessailly, D.,
Alvain, S., Kasamatsu, N., and Fukuchi, M.: DMS dynamics in the most
oligotrophic subtropical zones of the global ocean, Biogeochemistry, 110,
215–241, https://doi.org/10.1007/s10533-011-9648-1, 2012.
Brainerd, K. E. and Gregg, M. C.: Surface mixed and mixing layer depths, Deep-Sea Res. Pt. I, 42, 1521–1543, 1995.
Brooks, S. D. and Thornton, D. C. O.: Marine Aerosols and Clouds, Annu. Rev.
Mar. Sci., 10, 289–313, 2018.
Carpenter, L. J., Archer, S. D., and Beale, R.: Ocean–atmosphere trace gas
exchange, Chem. Soc. Rev., 41, 6473–6505, https://doi.org/10.1039/c2cs35121h, 2012.
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A.,
Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L.
A., and Pierce, J. R.: Large contribution of natural aerosols to uncertainty
in indirect forcing, Nature, 503, 67–71, https://doi.org/10.1038/nature12674, 2013.
Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. G.: Oceanic
phytoplankton, atmospheric sulphur, cloud albedo and climate, Nature, 326,
655–661, 1987.
Curson, A. R. J., Todd, J. D., Sullivan, M. J., and Johnston, A. W. B.:
Catabolism of dimethylsulphoniopropionate: microorganisms, enzymes and genes,
Nat. Rev. Microbiol., 9, 849–859, https://doi.org/10.1038/nrmicro2653, 2011.
Le Clainche, Y., Vézina, A., Levasseur, M., Cropp, R. A., Gunson, J. R.,
Vallina, S. M., Vogt, M., Lancelot, C., Allen, J. I., Archer, S. D.,
Bopp, L., Deal, C., Elliott, S., Jin, M., Malin, G., Schoemann, V.,
Simó, R., Six, K. D., and Stefels, J.: A first appraisal of prognostic
ocean DMS models and prospects for their use in climate models, Global
Biogeochem. Cy., 24, GB3021, https://doi.org/10.1029/2009GB003721, 2010.
Devred, E., Sathyendranath, S., and Platt, T.: Delineation of ecological
provinces using ocean colour radiometry, Mar. Ecol.-Prog. Ser., 346, 1–13,
https://doi.org/10.3354/meps07149, 2007.
Frouin, R., Franz, B., and Wang, M.: Algorithm to estimate PAR from SeaWiFS
data Version 1.2-Documentation, NASA (National Aeronautics and Space
Administration), Washington DC, USA, 2003.
Gabric, A. J., Matrai, P. a., Kiene, R. P., Cropp, R., Dacey, J. W. H.,
DiTullio, G. R., Najjar, R. G., Simó, R., Toole, D. A., and DelValle, D.
a.: Factors determining the vertical profile of dimethylsulfide in the
Sargasso Sea during summer, Deep-Sea Res. Pt. II, 55, 1505–1518,
https://doi.org/10.1016/j.dsr2.2008.02.002, 2008.
Galí, M. and Simó, R.: Occurrence and cycling of dimethylated sulfur
compounds in the Arctic during summer receding of the ice edge, Mar. Chem.,
122, 105–117, https://doi.org/10.1016/j.marchem.2010.07.003, 2010.
Galí, M. and Simó, R.: A meta-analysis of oceanic DMS and DMSP
cycling processes: Disentangling the summer paradox, Global Biogeochem. Cy.,
29, 496–515, https://doi.org/10.1002/2014GB004940, 2015.
Galí, M., Simó, R., Vila-Costa, M., Ruiz-González, C.,
Gasol, J. M., and Matrai, P. A.: Diel patterns of oceanic dimethylsulfide
(DMS) cycling: Microbial and physical drivers, Global Biogeochem. Cy., 27,
620–636, 2013.
Galí, M., Devred, E., Levasseur, M., Royer, S.-J., and Babin, M.:
A remote sensing algorithm for planktonic dimethylsulfoniopropionate (DMSP)
and an analysis of global patterns, Remote Sens. Environ., 171, 171–184,
https://doi.org/10.1016/j.rse.2015.10.012, 2015.
Grandey, B. S. and Wang, C.: Enhanced marine sulphur emissions offset global
warming and impact rainfall, Sci. Rep., 5, 13055, https://doi.org/10.1038/srep13055,
2015.
Halloran, P. R., Bell, T. G., and Totterdell, I. J.: Can we trust empirical
marine DMS parameterisations within projections of future climate?,
Biogeosciences, 7, 1645–1656, https://doi.org/10.5194/bg-7-1645-2010, 2010.
Harrison, P. J., Whitney, F. A., Tsuda, A., Saito, H., and Tadokoro, K.:
Nutrient and plankton dynamics in the NE and NW Gyres of the subarctic
Pacific Ocean, J. Oceanogr., 60, 93–117,
https://doi.org/10.1023/B:JOCE.0000038321.57391.2a, 2004.
Humphries, G. R. W., Deal, C. J., Elliott, S., and Huettmann, F.: Spatial
predictions of sea surface dimethylsulfide concentrations in the high arctic,
Biogeochemistry, 110, 287–301, https://doi.org/10.1007/s10533-011-9683-y, 2012.
Jarníková, T. and Tortell, P. D.: Towards a revised climatology of
summertime dimethylsulfide concentrations and sea–air fluxes in the Southern
Ocean, Environ. Chem., 13, 364–378, https://doi.org/10.1071/EN14272, 2016.
Johnson, R., Strutton, P. G., Wright, S. W., McMinn, A., and Meiners, K. M.:
Three improved satellite chlorophyll algorithms for the Southern Ocean,
J. Geophys. Res.-Oceans, 118, 3694–3703, https://doi.org/10.1002/jgrc.20270, 2013.
Jolliff, J. K., Kindle, J. C., Shulman, I., Penta, B., Friedrichs, M. A. M.,
Helber, R., and Arnone, R. A.: Summary diagrams for coupled
hydrodynamic-ecosystem model skill assessment, J. Marine Syst., 76, 64–82,
https://doi.org/10.1016/j.jmarsys.2008.05.014, 2009.
Jodwalis, C. M. and Benner, R. L.: On the possibility of remotely sensing
global dimethyl sulfide sea-to-air flux, Polar Rec. (Gr. Brit)., 31,
251–256, 1995.
Kameyama, S., Tanimoto, H., Inomata, S., Yoshikawa-Inoue, H., Tsunogai, U.,
Tsuda, A., Uematsu, M., Ishii, M., Sasano, D., Suzuki, K., and Nosaka, Y.:
Strong relationship between dimethyl sulfide and net community production in
the western subarctic Pacific, Geophys. Res. Lett., 40, 3986–3990,
https://doi.org/10.1002/grl.50654, 2013.
Kettle, A. J. and Andreae, M. O.: Flux of dimethylsulfide from the oceans:
A comparison of updated data sets and flux models, J. Geophys. Res., 105,
26793, https://doi.org/10.1029/2000JD900252, 2000.
Kettle, A. J., Andreae, T. W., Amouroux, D., Bates, T. S., Berresheim, H.,
Bingemer, H., Boniforti, R., Helas, G., Leck, C., Maspero, M., Matrai, P.,
McTaggart, A. R., Mihalopoulos, N., Nguyen, B. C., Novo, A., Putaud, J. P.,
Rapsomanikis, S., Roberts, G., Schebeske, G., Sharma, S., Simó, R.,
Staubes, R., Turner, S., and Uher, G.: A global data base of sea surface
dimethylsulfide (DMS) measurements and a simple model to predict sea surface
DMS as a function of latitude, longitude, and month, Global Biogeochem. Cy.,
13, 399–444, https://doi.org/10.1029/1999GB900004, 1999.
Kirk, J. T. O.: Light and photosynthesis in aquatic ecosystems, Cambridge, New York, NY, 2011.
Krüger, O. and Grabßl, H.: Southern Ocean phytoplankton increases
cloud albedo and reduces precipitation, Geophys. Res. Lett., 38, 1–5,
https://doi.org/10.1029/2011GL047116, 2011.
Kulmala, M., Petäjä, T., Ehn, M., Thornton, J., Sipilä, M.,
Worsnop, D. R., and Kerminen, V.-M.: Chemistry of atmospheric nucleation: on
the recent advances on precursor characterization and atmospheric cluster
composition in connection with atmospheric new particle formation, Annu. Rev.
Phys. Chem., 65, 21–37, https://doi.org/10.1146/annurev-physchem-040412-110014, 2014.
Lana, A., Bell, T. G., Simó, R., Vallina, S. M., Ballabrera-Poy, J.,
Kettle, A. J., Dachs, J., Bopp, L., Saltzman, E. S., Stefels, J.,
Johnson, J. E., and Liss, P. S.: An updated climatology of surface
dimethlysulfide concentrations and emission fluxes in the global ocean,
Global Biogeochem. Cy., 25, GB1004, https://doi.org/10.1029/2010GB003850, 2011.
Lavoie, M., Levasseur, M., and Sunda, W. G.: A steady-state physiological
model for intracellular dimethylsulfoxide in marine phytoplankton, Environ.
Chem., 13, 212–219, https://doi.org/10.1071/EN14221, 2015.
Leaitch, W. R., Sharma, S., Huang, L., Toom-Sauntry, D., Chivulescu, A.,
Macdonald, A. M., von Salzen, K., Pierce, J. R., Bertram, A. K.,
Schroder, J. C., Shantz, N. C., Chang, R. Y. W., and Norman, A.-L.: Dimethyl
sulfide control of the clean summertime Arctic aerosol and cloud, Elem. Sci.
Anth., 1, 17, https://doi.org/10.12952/journal.elementa.000017, 2013.
Lee, Z., Weidemann, A., Kindle, J., Arnone, R., Carder, K. L., and Davis, C.:
Euphotic zone depth: Its derivation and implication to ocean-color remote
sensing, J. Geophys. Res., 112, C03009, https://doi.org/10.1029/2006JC003802, 2007.
Levasseur, M.: Impact of Arctic meltdown on the microbial cycling of sulphur,
Nat. Geosci., 6, 691–700, https://doi.org/10.1038/ngeo1910, 2013.
Levasseur, M., Scarratt, M., Michaud, S., Merzouk, A., Wong, C., Arychuk, M.,
Richardson, W., Rivkin, R., Hale, M., and Wong, S.: DMSP and DMS dynamics
during a mesoscale iron fertilization experiment in the Northeast Pacific –
Part I: Temporal and vertical distributions, Deep-Sea Res. Pt. II, 53,
2353–2369, https://doi.org/10.1016/j.dsr2.2006.05.023, 2006.
Levine, N. M., Toole, D. A., Neeley, A., Bates, N. R., Doney, S. C., and
Dacey, J. W. H.: Revising upper-ocean sulfur dynamics near Bermuda: New
lessons from 3 years of concentration and rate measurements, Environ. Chem.,
13, 302–313, https://doi.org/10.1071/EN15045, 2016.
Lizotte, M., Levasseur, M., Michaud, S., Scarratt, M. G., Merzouk, A.,
Gosselin, M., Pommier, J., Rivkin, R. B., and Kiene, R. P.: Macroscale
patterns of the biological cycling of dimethylsulfoniopropionate (DMSP) and
dimethylsulfide (DMS) in the Northwest Atlantic, Biogeochemistry, 110,
183–200, https://doi.org/10.1007/s10533-011-9698-4, 2012.
Longhurst, A.: Ecological Geography of the Sea, 2nd Edn., Academic Press,
Amsterdam, Boston, Heidelberg, 2010.
Mahajan, A. S., Fadnavis, S., Thomas, M. A., Pozzoli, L., Gupta, S., Royer,
S., Saiz-lopez, A., and Simó, R.: Quantifying the impacts of an updated
global dimethylsulfide climatology on cloud microphysics and aerosol
radiative forcing, J. Geophys. Res.-Atmos., 120, 2524–2536,
https://doi.org/10.1002/2014JD022687, 2015.
Maritorena, S., Siegel, D. A., and Peterson, A. R.: Optimization of
a semianalytical ocean color model for global-scale applications, Appl.
Optics, 41, 2705–2714, https://doi.org/10.1364/AO.41.002705, 2002.
McCoy, D. T., Burrows, S. M., Wood, R., Grosvenor, D. P., Elliott, S. M.,
Ma, P., Rasch, P. J., and Hartmann, D. L.: Natural aerosols explain seasonal
and spatial patterns of Southern Ocean cloud albedo, Sci. Adv., 1, e1500157,
https://doi.org/10.1126/sciadv.1500157, 2015.
Merzouk, A., Levasseur, M., Scarratt, M., Michaud, S., Rivkin, R., Hale, M.,
Kiene, R. P., Price, N., and Li, W.: DMSP and DMS dynamics during a mesoscale
iron fertilization experiment in the Northeast Pacific–Part II: Biological
cycling, Deep-Sea Res. Pt. II, 53, 2370–2383,
https://doi.org/10.1016/j.dsr2.2006.05.022, 2006.
Meskhidze, N. and Nenes, A.: Phytoplankton and cloudiness in the Southern
Ocean, Science, 314, 1419–23, https://doi.org/10.1126/science.1131779, 2006.
Modini, R. L., Ristovski, Z. D., Johnson, G. R., He, C., Surawski, N.,
Morawska, L., Suni, T., and Kulmala, M.: New particle formation and growth at
a remote, sub-tropical coastal location, Atmos. Chem. Phys., 9, 7607–7621,
https://doi.org/10.5194/acp-9-7607-2009, 2009.
Mopper, K., Kieber, D. J., and Stubbins, A.: Marine Photochemistry of Organic
Matter: Processes and Impacts, in: Biogeochemistry of Marine Dissolved
Organic Matter, edited by: Hansell, D. A. and Carlson, C. A., Academic Press,
Amsterdam, Boston, Heidelberg, 389–450, 2015.
Morel, A. and Smith, R. C.: Relation between total quanta and total energy
for aquatic photosynthesis, Limnol. Oceanogr., 19, 591–600, 1974.
Nemcek, N., Ianson, D., and Tortell, P. D.: A high-resolution survey of DMS,
CO2, and O2 ∕ Ar distributions in productive coastal
waters, Global Biogeochem. Cy., 22, 1–13, https://doi.org/10.1029/2006GB002879, 2008.
Park, K.-T., Jang, S., Lee, K., Yoon, Y. J., Kim, M.-S., Park, K., Cho,
H.-J., Kang, J.-H., Udisti, R., Lee, B.-Y., and Shin, K.-H.: Observational
evidence for the formation of DMS-derived aerosols during Arctic
phytoplankton blooms, Atmos. Chem. Phys., 17, 9665–9675,
https://doi.org/10.5194/acp-17-9665-2017, 2017.
Polimene, L., Archer, S. D., Butenschön, M., and Allen, J. I.:
A mechanistic explanation of the Sargasso Sea DMS “summer paradox”,
Biogeochemistry, 110, 243–255, https://doi.org/10.1007/s10533-011-9674-z, 2011.
Quinn, P. K. and Bates, T. S.: The case against climate regulation via
oceanic phytoplankton sulphur emissions, Nature, 480, 51–56,
https://doi.org/10.1038/nature10580, 2011.
Quinn, P. K., Coffman, D. J., Johnson, J. E., Upchurch, L. M., and
Bates, T. S.: Small fraction of marine cloud condensation nuclei made up of
sea spray aerosol, Nat. Geosci., 10, 674–679, https://doi.org/10.1038/ngeo3003, 2017.
Royer, S.-J., Levasseur, M., Lizotte, M., Arychuk, M., Scarratt, M. G.,
Wong, C., Lovejoy, C., Robert, M., Johnson, K., Pena, A., Michaud, S., and
Kiene, R. P.: Microbial dimethylsulfoniopropionate (DMSP) dynamics along
a natural iron gradient in the northeast subarctic Pacific, Limnol.
Oceanogr., 55, 1614–1626, https://doi.org/10.4319/lo.2010.55.4.1614, 2010.
Royer, S. J., Galí, M., Saltzman, E. S., McCormick, C. A., Bell, T. G.,
and Simó, R.: Development and validation of a shipboard system for
measuring high-resolution vertical profiles of aqueous dimethylsulfide
concentrations using chemical ionisation mass spectrometry, Environ. Chem.,
11, 309–317, https://doi.org/10.1071/EN13203, 2014.
Royer, S., Mahajan, A. S., Galí, M., Saltzman, E., and Simó, R.:
Small-scale variability patterns of DMS and phytoplankton in surface waters
of the tropical and subtropical Atlantic, Indian, and Pacific Oceans,
Geophys. Res. Lett., 42, 475–483, https://doi.org/10.1002/2014GL062543, 2015.
Royer, S.-J., Galí, M., Mahajan, A. S., Ross, O. N., Pérez, G. L.,
Saltzman, E. S., and Simó, R.: A high-resolution time-depth view of
dimethylsulphide cycling in the surface sea, Sci. Rep., 6, srep32325,
https://doi.org/10.1038/srep32325, 2016.
Sanchez, K. J., Chen, C. L., Russell, L. M., Betha, R., Liu, J.,
Price, D. J., Massoli, P., Ziemba, L. D., Crosbie, E. C., Moore, R. H.,
Müller, M., Schiller, S. A., Wisthaler, A., Lee, A. K. Y., Quinn, P. K.,
Bates, T. S., Porter, J., Bell, T. G., Saltzman, E. S., Vaillancourt, R. D.,
and Behrenfeld, M. J.: Substantial Seasonal Contribution of Observed Biogenic
Sulfate Particles to Cloud Condensation Nuclei, Sci. Rep., 8, 1–14,
https://doi.org/10.1038/s41598-018-21590-9, 2018.
Schlesinger, W. H. and Bernhardt, E. S.: The Global Cycles of Sulfur and
Mercury, in Biogeochemistry. An Analysis of Global Change, 3rd Edn.,
469–486, https://doi.org/10.1016/B978-0-12-385874-0.00012-1, Academic Press, 2013.
Schmidtko, S., Johnson, G. C., and Lyman, J. M.: MIMOC: A global monthly
isopycnal upper-ocean climatology with mixed layers, J. Geophys. Res.-Oceans,
118, 1658–1672, https://doi.org/10.1002/jgrc.20122, 2013.
Shaw, G. E.: Bio-controlled thermostasis involving the sulfur cycle, Clim.
Change, 5, 297–303, https://doi.org/10.1007/BF02423524, 1983.
Simó, R.: From cells to globe?: approaching the dynamics of DMS(P) in the ocean at multiple scales, Can. J. Fish. Aquat. Sci., 61, 673–684, https://doi.org/10.1139/F04-030, 2004.
Simó, R.: The role of marine microbiota in short-term climate regulation,
in: The Role of Marine Biota in the Functioning of the Biosphere, edited by:
Duarte, C. M., Fundación BBVA, Bilbao, Spain, 107–130, 2011.
Simó, R. and Dachs, J.: Global ocean emission of dimethylsulfide
predicted from biogeophysical data, Global Biogeochem. Cy., 16, 1078,
https://doi.org/10.1029/2001GB001829, 2002.
Simó, R. and Pedrós-Alió, C.: Role of vertical mixing in
controlling the oceanic production of dimethyl sulphide, Nature, 402,
396–399, 1999.
Stefels, J.: Physiological aspects of the production and conversion of DMSP
in marine algae and higher plants, J. Sea Res., 43, 183–197,
https://doi.org/10.1016/S1385-1101(00)00030-7, 2000.
Stefels, J., Steinke, M., Turner, S. M., Malin, G., and Belviso, S.:
Environmental constraints on the production and removal of the climatically
active gas dimethylsulphide (DMS) and implications for ecosystem modelling,
Biogeochemistry, 83, 245–275, 2007.
Steiner, N. S., Robert, M., Arychuk, M., Levasseur, M. L., Merzouk, A.,
Peña, M. A., Richardson, W. A., and Tortell, P. D.: Evaluating DMS
measurements and model results in the Northeast subarctic Pacific from
1996–2010, Biogeochemistry, 110, 269–285, https://doi.org/10.1007/s10533-011-9669-9,
2012.
Sunda, W., Kieber, D. J., Kiene, R. P., and Huntsman, S.: An antioxidant
function for DMSP and DMS in marine algae, Nature, 418, 317–320,
https://doi.org/10.1038/nature00851, 2002.
Sunda, W. G., Hardison, R., Kiene, R. P., Bucciarelli, E., and Harada, H.:
The effect of nitrogen limitation on cellular DMSP and DMS release in marine
phytoplankton: climate feedback implications, Aquat. Sci., 69, 341–351,
https://doi.org/10.1007/s00027-007-0887-0, 2007.
Sutherland, G., Reverdin, G., Marié, L., and Ward, B.: Mixed and mixing
layer depths in the ocean surface boundary, Geophys. Res. Lett., 41,
8469–8476, https://doi.org/10.1002/2014GL061939, 2014.
Tesdal, J.-E., Christian, J. R., Monahan, A. H., and von Salzen, K.:
Evaluation of diverse approaches for estimating sea-surface DMS concentration
and air–sea exchange at global scale, Environ. Chem., 13, 390–412,
https://doi.org/10.1071/EN14255, 2016.
Thompson, A. M., Esaias, W. E., and Iverson, R. L.: Two Approaches to
Determining the Sea-to-Air Flux of Dimethyl Sulfide: Satellite Ocean Color
and a Photochemical Model With Atmospheric Measurements, J. Geophys. Res.,
95, 20551–20558, 1990.
Toole, D. A. and Siegel, D. A.: Light-driven cycling of dimethylsulfide (DMS)
in the Sargasso Sea: Closing the loop, Geophys. Res. Lett., 31, 5–8,
https://doi.org/10.1029/2004GL019581, 2004.
Vallina, S. M. and Simó, R.: Re-visiting the CLAW hypothesis, Environ.
Chem., 4, 384–387, https://doi.org/10.1071/EN07055, 2007a.
Vallina, S. M. and Simó, R.: Strong relationship between DMS and the
solar radiation dose over the global surface ocean, Science, 315, 506–508,
https://doi.org/10.1126/science.1133680, 2007b.
Vallina, S. M., Simó, R., and Manizza, M.: Weak response of oceanic
dimethylsulfide to upper mixing shoaling induced by global warming, P. Natl.
Acad. Sci. USA, 104, 16004–16009, https://doi.org/10.1073/pnas.0700843104, 2007.
Vallina, S. M., Simó, R., Anderson, T. R., Gabric, A., Cropp, R., and
Pacheco, J. M.: A dynamic model of oceanic sulfur (DMOS) applied to the
Sargasso Sea: Simulating the dimethylsulfide (DMS) summer paradox,
J. Geophys. Res., 113, 1–23, https://doi.org/10.1029/2007JG000415, 2008.
Vantrepotte, V. and Mélin, F.: Inter-annual variations in the SeaWiFS
global chlorophyll a concentration (1997–2007), Deep-Sea Res. Pt. I, 58,
429–441, https://doi.org/10.1016/j.dsr.2011.02.003, 2011.
Vila-Costa, M., Kiene, R. P., and Simó, R.: Seasonal variability of the
dynamics of dimethylated sulfur compounds in a coastal northwest
Mediterranean site, Limnol. Oceanogr., 53, 198–211, 2008.
Yu, F. and Luo, G.: Oceanic dimethyl sulfide emission and new particle
formation around the coast of antarctica: A modeling study of seasonal
variations and comparison with measurements, Atmosphere, 1, 34–50,
https://doi.org/10.3390/atmos1010034, 2010.
Short summary
We developed a new algorithm to estimate the sea-surface concentration of dimethylsulfide (DMS) using satellite data. DMS is a gas produced by marine plankton that, once emitted to the atmosphere, plays a key climatic role by seeding cloud formation. We used the algorithm to produce global DMS maps and also regional DMS time series. The latter suggest that DMS can vary largely from one year to another, which should be taken into account in atmospheric studies.
We developed a new algorithm to estimate the sea-surface concentration of dimethylsulfide (DMS)...
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