Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5915-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-5915-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Dec 2021
Data description paper |
| 22 Dec 2021
| 22 Dec 2021
Climatological distribution of dissolved inorganic nutrients in the western Mediterranean Sea (1981–2017)
Malek Belgacem
CORRESPONDING AUTHOR
CNR-ISMAR, Arsenale Tesa 104, Castello 2737/F, 30122 Venice, Italy
Dipartimento di Scienze Ambientali, Informatica e Statistica (DAIS), Università Ca' Foscari Venezia,
Campus Scientifico, Via Torino 155, 30170 Venice, Italy
Katrin Schroeder
CNR-ISMAR, Arsenale Tesa 104, Castello 2737/F, 30122 Venice, Italy
Alexander Barth
GeoHydrodynamics and Environment Research (GHER), Freshwater and Oceanic sCiences Unit of reSearch (FOCUS), University of Liège, Quartier Agora, Allée du 6-Août, 17, Sart Tilman, 4000 Liège 1, Belgium
Charles Troupin
GeoHydrodynamics and Environment Research (GHER), Freshwater and Oceanic sCiences Unit of reSearch (FOCUS), University of Liège, Quartier Agora, Allée du 6-Août, 17, Sart Tilman, 4000 Liège 1, Belgium
Bruno Pavoni
Dipartimento di Scienze Ambientali, Informatica e Statistica (DAIS), Università Ca' Foscari Venezia,
Campus Scientifico, Via Torino 155, 30170 Venice, Italy
Patrick Raimbault
Mediterranean Institute of Oceanography (MIO) UM 110, Aix-Marseille Université, CNRS-INSU, Université de Toulon, IRD, 13288, Marseille, France
Nicole Garcia
Mediterranean Institute of Oceanography (MIO) UM 110, Aix-Marseille Université, CNRS-INSU, Université de Toulon, IRD, 13288, Marseille, France
Mireno Borghini
CNR-ISMAR, Forte Santa Teresa, Pozzuolo di Lerici, 19032 La Spezia, Italy
Jacopo Chiggiato
CNR-ISMAR, Arsenale Tesa 104, Castello 2737/F, 30122 Venice, Italy
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T. Tanhua, D. Hainbucher, K. Schroeder, V. Cardin, M. Álvarez, and G. Civitarese
Ocean Sci., 9, 789–803, https://doi.org/10.5194/os-9-789-2013, https://doi.org/10.5194/os-9-789-2013, 2013
S. Squizzato, M. Masiol, A. Brunelli, S. Pistollato, E. Tarabotti, G. Rampazzo, and B. Pavoni
Atmos. Chem. Phys., 13, 1927–1939, https://doi.org/10.5194/acp-13-1927-2013, https://doi.org/10.5194/acp-13-1927-2013, 2013
Related subject area
Chemical oceanography
A consistent ocean oxygen profile dataset with new quality control and bias assessment
CO2 and hydrography acquired by autonomous surface vehicles from the Atlantic Ocean to the Mediterranean Sea: data correction and validation
A 20-year (1998–2017) global sea surface dimethyl sulfide gridded dataset with daily resolution
A machine-learning reconstruction of sea surface pCO2 in the North American Atlantic Coastal Ocean Margin from 1993 to 2021
High-resolution global shipping emission inventory by Shipping Emission Inventory Model (SEIM)
Distributions of in situ parameters, dissolved (in)organic carbon, and nutrients in the water column and pore waters of Arctic fjords (western Spitsbergen) during a melting season
Climatological distribution of ocean acidification variables along the North American ocean margins
Updated climatological mean ΔfCO2 and net sea–air CO2 flux over the global open ocean regions
The annual update GLODAPv2.2023: the global interior ocean biogeochemical data product
Synthesis Product for Ocean Time Series (SPOTS) – a ship-based biogeochemical pilot
French coastal network for carbonate system monitoring: the CocoriCO2 dataset
A global database of dissolved organic matter (DOM) concentration measurements in coastal waters (CoastDOM v1)
A decade-long cruise time series (2008–2018) of physical and biogeochemical conditions in the southern Salish Sea, North America
A regional pCO2 climatology of the Baltic Sea from in situ pCO2 observations and a model-based extrapolation approach
A 12-year-long (2010–2021) hydrological and biogeochemical dataset in the Sicily Channel (Mediterranean Sea)
A decade of marine inorganic carbon chemistry observations in the northern Gulf of Alaska – insights into an environment in transition
A novel sea surface pCO2-product for the global coastal ocean resolving trends over 1982–2020
A high-resolution synthesis dataset for multistressor analyses along the US West Coast
CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system
A synthesis of ocean total alkalinity and dissolved inorganic carbon measurements from 1993 to 2022: the SNAPO-CO2-v1 dataset
A year of transient tracers (chlorofluorocarbon 12 and sulfur hexafluoride), noble gases (helium and neon), and tritium in the Arctic Ocean from the MOSAiC expedition (2019–2020)
Database of nitrification and nitrifiers in the global ocean
GOBAI-O2: temporally and spatially resolved fields of ocean interior dissolved oxygen over nearly 2 decades
Spatiotemporal variability in pH and carbonate parameters on the Canadian Atlantic continental shelf between 2014 and 2022
Barium in seawater: dissolved distribution, relationship to silicon, and barite saturation state determined using machine learning
Global oceanic diazotroph database version 2 and elevated estimate of global oceanic N2 fixation
High-frequency, year-round time series of the carbonate chemistry in a high-Arctic fjord (Svalbard)
OceanSODA-UNEXE: a multi-year gridded Amazon and Congo River outflow surface ocean carbonate system dataset
Evaluating the transport of surface seawater from 1956 to 2021 using 137Cs deposited in the global ocean as a chemical tracer
Spatial reconstruction of long-term (2003–2020) sea surface pCO2 in the South China Sea using a machine-learning-based regression method aided by empirical orthogonal function analysis
OceanSODA-MDB: a standardised surface ocean carbonate system dataset for model–data intercomparisons
Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics
A database of marine macronutrient, temperature and salinity measurements made around the highly productive island of South Georgia, the Scotia Sea and the Antarctic Peninsula between 1980 and 2009
GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product
Oil slicks in the Gulf of Guinea – 10 years of Envisat Advanced Synthetic Aperture Radar observations
Third revision of the global surface seawater dimethyl sulfide climatology (DMS-Rev3)
The CISE-LOCEAN seawater isotopic database (1998–2021)
Revisiting five decades of 234Th data: a comprehensive global oceanic compilation
A monthly surface pCO2 product for the California Current Large Marine Ecosystem
An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021
Coastal Ocean Data Analysis Product in North America (CODAP-NA) – an internally consistent data product for discrete inorganic carbon, oxygen, and nutrients on the North American ocean margins
Feasibility of reconstructing the summer basin-scale sea surface partial pressure of carbon dioxide from sparse in situ observations over the South China Sea
OceanSODA-ETHZ: a global gridded data set of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification
An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020
ARIOS: a database for ocean acidification assessment in the Iberian upwelling system (1976–2018)
A uniform pCO2 climatology combining open and coastal oceans
Dissolved inorganic nutrients in the western Mediterranean Sea (2004–2017)
A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach
A 17-year dataset of surface water fugacity of CO2 along with calculated pH, aragonite saturation state and air–sea CO2 fluxes in the northern Caribbean Sea
Global database of ratios of particulate organic carbon to thorium-234 in the ocean: improving estimates of the biological carbon pump
Viktor Gouretski, Lijing Cheng, Juan Du, Xiaogang Xing, Fei Chai, and Zhetao Tan
Earth Syst. Sci. Data, 16, 5503–5530, https://doi.org/10.5194/essd-16-5503-2024, https://doi.org/10.5194/essd-16-5503-2024, 2024
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High-quality observations are crucial to understanding ocean oxygen changes and their impact on marine biota. We developed a quality control procedure to ensure the high quality of the heterogeneous ocean oxygen data archive and to prove data consistency. Oxygen data obtained by means of oxygen sensors on autonomous Argo floats were compared with reference data based on the chemical analysis, and estimates of the residual offsets were obtained.
Riccardo Martellucci, Michele Giani, Elena Mauri, Laurent Coppola, Melf Paulsen, Marine Fourrier, Sara Pensieri, Vanessa Cardin, Carlotta Dentico, Roberto Bozzano, Carolina Cantoni, Anna Lucchetta, Alfredo Izquierdo, Miguel Bruno, and Ingunn Skjelvan
Earth Syst. Sci. Data, 16, 5333–5356, https://doi.org/10.5194/essd-16-5333-2024, https://doi.org/10.5194/essd-16-5333-2024, 2024
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As part of the ATL2MED demonstration experiment, two autonomous surface vehicles undertook a 9-month mission from the northeastern Atlantic to the Adriatic Sea. Biofouling affected the measurement of variables such as conductivity and dissolved oxygen. COVID-19 limited the availability of discrete samples for validation. We present correction methods for salinity and dissolved oxygen. We use model products to correct salinity and apply the Argo floats in-air correction method for oxygen
Shengqian Zhou, Ying Chen, Shan Huang, Xianda Gong, Guipeng Yang, Honghai Zhang, Hartmut Herrmann, Alfred Wiedensohler, Laurent Poulain, Yan Zhang, Fanghui Wang, Zongjun Xu, and Ke Yan
Earth Syst. Sci. Data, 16, 4267–4290, https://doi.org/10.5194/essd-16-4267-2024, https://doi.org/10.5194/essd-16-4267-2024, 2024
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Dimethyl sulfide (DMS) is a crucial natural reactive gas in the global climate system due to its great contribution to aerosols and subsequent impact on clouds over remote oceans. Leveraging machine learning techniques, we constructed a long-term global sea surface DMS gridded dataset with daily resolution. Compared to previous datasets, our new dataset holds promise for improving atmospheric chemistry modeling and advancing our comprehension of the climate effects associated with oceanic DMS.
Zelun Wu, Wenfang Lu, Alizée Roobaert, Luping Song, Xiao-Hai Yan, and Wei-Jun Cai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-309, https://doi.org/10.5194/essd-2024-309, 2024
Revised manuscript accepted for ESSD
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This study addresses the lack of comprehensive sea surface CO2 data in North American Atlantic coastal regions by developing a new pCO2-product (ReCAD-NAACOM-pCO2). Using machine learning and environmental data, it reconstructs sea surface CO2 levels from 1993–2021. The product accurately captures seasonal cycles, regional variations, and long-term trends, outperforming earlier attempts. It provides crucial data for studying coastal carbon dynamics and climate change impacts.
Wen Yi, Xiaotong Wang, Tingkun He, Huan Liu, Zhenyu Luo, Zhaofeng Lv, and Kebin He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-258, https://doi.org/10.5194/essd-2024-258, 2024
Revised manuscript accepted for ESSD
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This study presents a detailed global dataset on ship emissions, covering the years 2013 and 2016–2021, using advanced modeling techniques. The dataset includes emissions data for 4 types of greenhouse gases and 5 types of air pollutants. The data, available for research, offers valuable insights into ship emission spatiotemporal patterns by vessel type and age, providing a solid data foundation for fine-scale scientific research and shipping emission mitigation.
Seyed Reza Saghravani, Michael Ernst Böttcher, Wei-Li Hong, Karol Kuliński, Aivo Lepland, Arunima Sen, and Beata Szymczycha
Earth Syst. Sci. Data, 16, 3419–3431, https://doi.org/10.5194/essd-16-3419-2024, https://doi.org/10.5194/essd-16-3419-2024, 2024
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A comprehensive study conducted in 2021 examined the distributions of dissolved nutrients and carbon in the western Spitsbergen fjords during the high-melting season. Significant spatial variability was observed in the water column and pore water concentrations of constituents, highlighting the unique biogeochemical characteristics of each fjord and their potential impact on ecosystem functioning and oceanographic processes.
Li-Qing Jiang, Tim P. Boyer, Christopher R. Paver, Hyelim Yoo, James R. Reagan, Simone R. Alin, Leticia Barbero, Brendan R. Carter, Richard A. Feely, and Rik Wanninkhof
Earth Syst. Sci. Data, 16, 3383–3390, https://doi.org/10.5194/essd-16-3383-2024, https://doi.org/10.5194/essd-16-3383-2024, 2024
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In this paper, we unveil a data product featuring ten coastal ocean acidification variables. These indicators are provided on 1°×1° spatial grids at 14 standardized depth levels, ranging from the surface to a depth of 500 m, along the North American ocean margins.
Amanda R. Fay, David R. Munro, Galen A. McKinley, Denis Pierrot, Stewart C. Sutherland, Colm Sweeney, and Rik Wanninkhof
Earth Syst. Sci. Data, 16, 2123–2139, https://doi.org/10.5194/essd-16-2123-2024, https://doi.org/10.5194/essd-16-2123-2024, 2024
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Presented here is a near-global monthly climatological estimate of the difference between atmosphere and ocean carbon dioxide concentrations. The ocean's ability to take up carbon, both now and in the future, is defined by this difference in concentrations. With over 30 million measurements of surface ocean carbon over the last 40 years and utilization of an extrapolation technique, a mean estimate of surface ocean ΔfCO2 is presented.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 16, 2047–2072, https://doi.org/10.5194/essd-16-2047-2024, https://doi.org/10.5194/essd-16-2047-2024, 2024
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2023 is the fifth update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality controlling, including systematic evaluation of measurement biases. This version contains data from 1108 hydrographic cruises covering the world's oceans from 1972 to 2021.
Nico Lange, Björn Fiedler, Marta Álvarez, Alice Benoit-Cattin, Heather Benway, Pier Luigi Buttigieg, Laurent Coppola, Kim Currie, Susana Flecha, Dana S. Gerlach, Makio Honda, I. Emma Huertas, Siv K. Lauvset, Frank Muller-Karger, Arne Körtzinger, Kevin M. O'Brien, Sólveig R. Ólafsdóttir, Fernando C. Pacheco, Digna Rueda-Roa, Ingunn Skjelvan, Masahide Wakita, Angelicque White, and Toste Tanhua
Earth Syst. Sci. Data, 16, 1901–1931, https://doi.org/10.5194/essd-16-1901-2024, https://doi.org/10.5194/essd-16-1901-2024, 2024
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The Synthesis Product for Ocean Time Series (SPOTS) is a novel achievement expanding and complementing the biogeochemical data landscape by providing consistent and high-quality biogeochemical time-series data from 12 ship-based fixed time-series programs. SPOTS covers multiple unique marine environments and time-series ranges, including data from 1983 to 2021. All in all, it facilitates a variety of applications that benefit from the collective value of biogeochemical time-series observations.
Sébastien Petton, Fabrice Pernet, Valérian Le Roy, Matthias Huber, Sophie Martin, Éric Macé, Yann Bozec, Stéphane Loisel, Peggy Rimmelin-Maury, Émilie Grossteffan, Michel Repecaud, Loïc Quemener, Michael Retho, Soazig Manac'h, Mathias Papin, Philippe Pineau, Thomas Lacoue-Labarthe, Jonathan Deborde, Louis Costes, Pierre Polsenaere, Loïc Rigouin, Jérémy Benhamou, Laure Gouriou, Joséphine Lequeux, Nathalie Labourdette, Nicolas Savoye, Grégory Messiaen, Elodie Foucault, Vincent Ouisse, Marion Richard, Franck Lagarde, Florian Voron, Valentin Kempf, Sébastien Mas, Léa Giannecchini, Francesca Vidussi, Behzad Mostajir, Yann Leredde, Samir Alliouane, Jean-Pierre Gattuso, and Frédéric Gazeau
Earth Syst. Sci. Data, 16, 1667–1688, https://doi.org/10.5194/essd-16-1667-2024, https://doi.org/10.5194/essd-16-1667-2024, 2024
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Our research highlights the concerning impact of rising carbon dioxide levels on coastal areas. To better understand these changes, we've established an observation network in France. By deploying pH sensors and other monitoring equipment at key coastal sites, we're gaining valuable insights into how various factors, such as freshwater inputs, tides, temperature, and biological processes, influence ocean pH.
Christian Lønborg, Cátia Carreira, Gwenaël Abril, Susana Agustí, Valentina Amaral, Agneta Andersson, Javier Arístegui, Punyasloke Bhadury, Mariana B. Bif, Alberto V. Borges, Steven Bouillon, Maria Ll. Calleja, Luiz C. Cotovicz Jr., Stefano Cozzi, Maryló Doval, Carlos M. Duarte, Bradley Eyre, Cédric G. Fichot, E. Elena García-Martín, Alexandra Garzon-Garcia, Michele Giani, Rafael Gonçalves-Araujo, Renee Gruber, Dennis A. Hansell, Fuminori Hashihama, Ding He, Johnna M. Holding, William R. Hunter, J. Severino P. Ibánhez, Valeria Ibello, Shan Jiang, Guebuem Kim, Katja Klun, Piotr Kowalczuk, Atsushi Kubo, Choon-Weng Lee, Cláudia B. Lopes, Federica Maggioni, Paolo Magni, Celia Marrase, Patrick Martin, S. Leigh McCallister, Roisin McCallum, Patricia M. Medeiros, Xosé Anxelu G. Morán, Frank E. Muller-Karger, Allison Myers-Pigg, Marit Norli, Joanne M. Oakes, Helena Osterholz, Hyekyung Park, Maria Lund Paulsen, Judith A. Rosentreter, Jeff D. Ross, Digna Rueda-Roa, Chiara Santinelli, Yuan Shen, Eva Teira, Tinkara Tinta, Guenther Uher, Masahide Wakita, Nicholas Ward, Kenta Watanabe, Yu Xin, Youhei Yamashita, Liyang Yang, Jacob Yeo, Huamao Yuan, Qiang Zheng, and Xosé Antón Álvarez-Salgado
Earth Syst. Sci. Data, 16, 1107–1119, https://doi.org/10.5194/essd-16-1107-2024, https://doi.org/10.5194/essd-16-1107-2024, 2024
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In this paper, we present the first edition of a global database compiling previously published and unpublished measurements of dissolved organic matter (DOM) collected in coastal waters (CoastDOM v1). Overall, the CoastDOM v1 dataset will be useful to identify global spatial and temporal patterns and to facilitate reuse in studies aimed at better characterizing local biogeochemical processes and identifying a baseline for modelling future changes in coastal waters.
Simone R. Alin, Jan A. Newton, Richard A. Feely, Dana Greeley, Beth Curry, Julian Herndon, and Mark Warner
Earth Syst. Sci. Data, 16, 837–865, https://doi.org/10.5194/essd-16-837-2024, https://doi.org/10.5194/essd-16-837-2024, 2024
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The Salish cruise data product provides 2008–2018 oceanographic data from the southern Salish Sea and nearby coastal sampling stations. Temperature, salinity, oxygen, nutrient, and dissolved inorganic carbon measurements from 715 oceanographic profiles will facilitate further study of ocean acidification, hypoxia, and marine heatwave impacts in this region. Three subsets of the compiled datasets from 35 cruises are available with consistent formatting and multiple commonly used units.
Henry C. Bittig, Erik Jacobs, Thomas Neumann, and Gregor Rehder
Earth Syst. Sci. Data, 16, 753–773, https://doi.org/10.5194/essd-16-753-2024, https://doi.org/10.5194/essd-16-753-2024, 2024
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We present a pCO2 climatology of the Baltic Sea using a new approach to extrapolate from individual observations to the entire Baltic Sea. The extrapolation approach uses (a) a model to inform on how data at one location are connected to data at other locations, together with (b) very accurate pCO2 observations from 2003 to 2021 as the base data. The climatology can be used e.g. to assess uptake and release of CO2 or to identify extreme events.
Francesco Placenti, Marco Torri, Katrin Schroeder, Mireno Borghini, Gabriella Cerrati, Angela Cuttitta, Vincenzo Tancredi, Carmelo Buscaino, and Bernardo Patti
Earth Syst. Sci. Data, 16, 743–752, https://doi.org/10.5194/essd-16-743-2024, https://doi.org/10.5194/essd-16-743-2024, 2024
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Oceanographic surveys were conducted in the Strait of Sicily between 2010 and 2021. This paper provides a description of the time series of nutrients and hydrological data collected in this zone. The dataset fills an important gap in field observations of a crucial area where exchanges with the Mediterranean sub-basin take place, providing support for studies aimed at describing ongoing processes and at realizing reliable projections of the effects of these processes in the near future.
Natalie M. Monacci, Jessica N. Cross, Wiley Evans, Jeremy T. Mathis, and Hongjie Wang
Earth Syst. Sci. Data, 16, 647–665, https://doi.org/10.5194/essd-16-647-2024, https://doi.org/10.5194/essd-16-647-2024, 2024
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As carbon dioxide is released into the air through human-generated activity, about one third dissolves into the surface water of oceans, lowering pH and increasing acidity. This is known as ocean acidification. We merged 10 years of ocean carbon data and made them publicly available for adaptation planning during a time of change. The data confirmed that Alaska is already experiencing the effects of ocean acidification due to naturally cold water, high productivity, and circulation patterns.
Alizée Roobaert, Pierre Regnier, Peter Landschützer, and Goulven G. Laruelle
Earth Syst. Sci. Data, 16, 421–441, https://doi.org/10.5194/essd-16-421-2024, https://doi.org/10.5194/essd-16-421-2024, 2024
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The quantification of the coastal air–sea CO2 exchange (FCO2) has improved in recent years, but its multiannual variability remains unclear. This study, based on interpolated observations, reconstructs the longest global time series of coastal FCO2 (1982–2020). Results show the coastal ocean acts as a CO2 sink, with increasing intensity over time. This new coastal FCO2-product allows establishing regional carbon budgets and provides new constraints for closing the global carbon cycle.
Esther G. Kennedy, Meghan Zulian, Sara L. Hamilton, Tessa M. Hill, Manuel Delgado, Carina R. Fish, Brian Gaylord, Kristy J. Kroeker, Hannah M. Palmer, Aurora M. Ricart, Eric Sanford, Ana K. Spalding, Melissa Ward, Guadalupe Carrasco, Meredith Elliott, Genece V. Grisby, Evan Harris, Jaime Jahncke, Catherine N. Rocheleau, Sebastian Westerink, and Maddie I. Wilmot
Earth Syst. Sci. Data, 16, 219–243, https://doi.org/10.5194/essd-16-219-2024, https://doi.org/10.5194/essd-16-219-2024, 2024
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We present a new synthesis of oceanographic observations along the US West Coast that has been optimized for multiparameter investigations of coastal warming, deoxygenation, and acidification risk. This synthesis includes both previously published and new observations, all of which have been consistently formatted and quality-controlled to facilitate high-resolution investigations of climate risks and consequences across a wide range of spatial and temporal scales.
Thi-Tuyet-Trang Chau, Marion Gehlen, Nicolas Metzl, and Frédéric Chevallier
Earth Syst. Sci. Data, 16, 121–160, https://doi.org/10.5194/essd-16-121-2024, https://doi.org/10.5194/essd-16-121-2024, 2024
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CMEMS-LSCE leads as the first global observation-based reconstructions of six carbonate system variables for the years 1985–2021 at monthly and 0.25° resolutions. The high-resolution reconstructions outperform their 1° counterpart in reproducing horizontal and temporal gradients of observations over various oceanic regions to nearshore time series stations. New datasets can be exploited in numerous studies, including monitoring changes in ocean carbon uptake and ocean acidification.
Nicolas Metzl, Jonathan Fin, Claire Lo Monaco, Claude Mignon, Samir Alliouane, David Antoine, Guillaume Bourdin, Jacqueline Boutin, Yann Bozec, Pascal Conan, Laurent Coppola, Frédéric Diaz, Eric Douville, Xavier Durrieu de Madron, Jean-Pierre Gattuso, Frédéric Gazeau, Melek Golbol, Bruno Lansard, Dominique Lefèvre, Nathalie Lefèvre, Fabien Lombard, Férial Louanchi, Liliane Merlivat, Léa Olivier, Anne Petrenko, Sébastien Petton, Mireille Pujo-Pay, Christophe Rabouille, Gilles Reverdin, Céline Ridame, Aline Tribollet, Vincenzo Vellucci, Thibaut Wagener, and Cathy Wimart-Rousseau
Earth Syst. Sci. Data, 16, 89–120, https://doi.org/10.5194/essd-16-89-2024, https://doi.org/10.5194/essd-16-89-2024, 2024
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This work presents a synthesis of 44 000 total alkalinity and dissolved inorganic carbon observations obtained between 1993 and 2022 in the Global Ocean and the Mediterranean Sea at the surface and in the water column. Seawater samples were measured using the same method and calibrated with international Certified Reference Material. We describe the data assemblage, quality control and some potential uses of this dataset.
Céline Heuzé, Oliver Huhn, Maren Walter, Natalia Sukhikh, Salar Karam, Wiebke Körtke, Myriel Vredenborg, Klaus Bulsiewicz, Jürgen Sültenfuß, Ying-Chih Fang, Christian Mertens, Benjamin Rabe, Sandra Tippenhauer, Jacob Allerholt, Hailun He, David Kuhlmey, Ivan Kuznetsov, and Maria Mallet
Earth Syst. Sci. Data, 15, 5517–5534, https://doi.org/10.5194/essd-15-5517-2023, https://doi.org/10.5194/essd-15-5517-2023, 2023
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Gases dissolved in the ocean water not used by the ecosystem (or "passive tracers") are invaluable to track water over long distances and investigate the processes that modify its properties. Unfortunately, especially so in the ice-covered Arctic Ocean, such gas measurements are sparse. We here present a data set of several passive tracers (anthropogenic gases, noble gases and their isotopes) collected over the full ocean depth, weekly, during the 1-year drift in the Arctic during MOSAiC.
Weiyi Tang, Bess B. Ward, Michael Beman, Laura Bristow, Darren Clark, Sarah Fawcett, Claudia Frey, François Fripiat, Gerhard J. Herndl, Mhlangabezi Mdutyana, Fabien Paulot, Xuefeng Peng, Alyson E. Santoro, Takuhei Shiozaki, Eva Sintes, Charles Stock, Xin Sun, Xianhui S. Wan, Min N. Xu, and Yao Zhang
Earth Syst. Sci. Data, 15, 5039–5077, https://doi.org/10.5194/essd-15-5039-2023, https://doi.org/10.5194/essd-15-5039-2023, 2023
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Nitrification and nitrifiers play an important role in marine nitrogen and carbon cycles by converting ammonium to nitrite and nitrate. Nitrification could affect microbial community structure, marine productivity, and the production of nitrous oxide – a powerful greenhouse gas. We introduce the newly constructed database of nitrification and nitrifiers in the marine water column and guide future research efforts in field observations and model development of nitrification.
Jonathan D. Sharp, Andrea J. Fassbender, Brendan R. Carter, Gregory C. Johnson, Cristina Schultz, and John P. Dunne
Earth Syst. Sci. Data, 15, 4481–4518, https://doi.org/10.5194/essd-15-4481-2023, https://doi.org/10.5194/essd-15-4481-2023, 2023
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Dissolved oxygen content is a critical metric of ocean health. Recently, expanding fleets of autonomous platforms that measure oxygen in the ocean have produced a wealth of new data. We leverage machine learning to take advantage of this growing global dataset, producing a gridded data product of ocean interior dissolved oxygen at monthly resolution over nearly 2 decades. This work provides novel information for investigations of spatial, seasonal, and interannual variability in ocean oxygen.
Olivia Gibb, Frédéric Cyr, Kumiko Azetsu-Scott, Joël Chassé, Darlene Childs, Carrie-Ellen Gabriel, Peter S. Galbraith, Gary Maillet, Pierre Pepin, Stephen Punshon, and Michel Starr
Earth Syst. Sci. Data, 15, 4127–4162, https://doi.org/10.5194/essd-15-4127-2023, https://doi.org/10.5194/essd-15-4127-2023, 2023
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The ocean absorbs large quantities of carbon dioxide (CO2) released into the atmosphere as a result of the burning of fossil fuels. This, in turn, causes ocean acidification, which poses a major threat to global ocean ecosystems. In this study, we compiled 9 years (2014–2022) of ocean carbonate data (i.e., ocean acidification parameters) collected in Atlantic Canada as part of the Atlantic Zone Monitoring Program.
Öykü Z. Mete, Adam V. Subhas, Heather H. Kim, Ann G. Dunlea, Laura M. Whitmore, Alan M. Shiller, Melissa Gilbert, William D. Leavitt, and Tristan J. Horner
Earth Syst. Sci. Data, 15, 4023–4045, https://doi.org/10.5194/essd-15-4023-2023, https://doi.org/10.5194/essd-15-4023-2023, 2023
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We present results from a machine learning model that accurately predicts dissolved barium concentrations for the global ocean. Our results reveal that the whole-ocean barium inventory is significantly lower than previously thought and that the deep ocean below 1000 m is at equilibrium with respect to barite. The model output can be used for a number of applications, including intercomparison, interpolation, and identification of regions warranting additional investigation.
Zhibo Shao, Yangchun Xu, Hua Wang, Weicheng Luo, Lice Wang, Yuhong Huang, Nona Sheila R. Agawin, Ayaz Ahmed, Mar Benavides, Mikkel Bentzon-Tilia, Ilana Berman-Frank, Hugo Berthelot, Isabelle C. Biegala, Mariana B. Bif, Antonio Bode, Sophie Bonnet, Deborah A. Bronk, Mark V. Brown, Lisa Campbell, Douglas G. Capone, Edward J. Carpenter, Nicolas Cassar, Bonnie X. Chang, Dreux Chappell, Yuh-ling Lee Chen, Matthew J. Church, Francisco M. Cornejo-Castillo, Amália Maria Sacilotto Detoni, Scott C. Doney, Cecile Dupouy, Marta Estrada, Camila Fernandez, Bieito Fernández-Castro, Debany Fonseca-Batista, Rachel A. Foster, Ken Furuya, Nicole Garcia, Kanji Goto, Jesús Gago, Mary R. Gradoville, M. Robert Hamersley, Britt A. Henke, Cora Hörstmann, Amal Jayakumar, Zhibing Jiang, Shuh-Ji Kao, David M. Karl, Leila R. Kittu, Angela N. Knapp, Sanjeev Kumar, Julie LaRoche, Hongbin Liu, Jiaxing Liu, Caroline Lory, Carolin R. Löscher, Emilio Marañón, Lauren F. Messer, Matthew M. Mills, Wiebke Mohr, Pia H. Moisander, Claire Mahaffey, Robert Moore, Beatriz Mouriño-Carballido, Margaret R. Mulholland, Shin-ichiro Nakaoka, Joseph A. Needoba, Eric J. Raes, Eyal Rahav, Teodoro Ramírez-Cárdenas, Christian Furbo Reeder, Lasse Riemann, Virginie Riou, Julie C. Robidart, Vedula V. S. S. Sarma, Takuya Sato, Himanshu Saxena, Corday Selden, Justin R. Seymour, Dalin Shi, Takuhei Shiozaki, Arvind Singh, Rachel E. Sipler, Jun Sun, Koji Suzuki, Kazutaka Takahashi, Yehui Tan, Weiyi Tang, Jean-Éric Tremblay, Kendra Turk-Kubo, Zuozhu Wen, Angelicque E. White, Samuel T. Wilson, Takashi Yoshida, Jonathan P. Zehr, Run Zhang, Yao Zhang, and Ya-Wei Luo
Earth Syst. Sci. Data, 15, 3673–3709, https://doi.org/10.5194/essd-15-3673-2023, https://doi.org/10.5194/essd-15-3673-2023, 2023
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N2 fixation by marine diazotrophs is an important bioavailable N source to the global ocean. This updated global oceanic diazotroph database increases the number of in situ measurements of N2 fixation rates, diazotrophic cell abundances, and nifH gene copy abundances by 184 %, 86 %, and 809 %, respectively. Using the updated database, the global marine N2 fixation rate is estimated at 223 ± 30 Tg N yr−1, which triplicates that using the original database.
Jean-Pierre Gattuso, Samir Alliouane, and Philipp Fischer
Earth Syst. Sci. Data, 15, 2809–2825, https://doi.org/10.5194/essd-15-2809-2023, https://doi.org/10.5194/essd-15-2809-2023, 2023
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The Arctic Ocean is subject to high rates of ocean warming and acidification, with critical implications for marine organisms, ecosystems and the services they provide. We report here on the first high-frequency (1 h), multi-year (5 years) dataset of the carbonate system at a coastal site in a high-Arctic fjord (Kongsfjorden, Svalbard). This site is a significant sink for CO2 every month of the year (9 to 17 mol m-2 yr-1). The saturation state of aragonite can be as low as 1.3.
Richard P. Sims, Thomas M. Holding, Peter E. Land, Jean-Francois Piolle, Hannah L. Green, and Jamie D. Shutler
Earth Syst. Sci. Data, 15, 2499–2516, https://doi.org/10.5194/essd-15-2499-2023, https://doi.org/10.5194/essd-15-2499-2023, 2023
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The flow of carbon between the land and ocean is poorly quantified with existing measurements. It is not clear how seasonality and long-term variability impact this flow of carbon. Here, we demonstrate how satellite observations can be used to create decadal time series of the inorganic carbonate system in the Amazon and Congo River outflows.
Yayoi Inomata and Michio Aoyama
Earth Syst. Sci. Data, 15, 1969–2007, https://doi.org/10.5194/essd-15-1969-2023, https://doi.org/10.5194/essd-15-1969-2023, 2023
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The behavior of 137Cs in surface seawater in the global ocean was analyzed by using the HAMGlobal2021 database. Approximately 32 % of 137Cs existed in the surface seawater in 1970. The 137Cs released into the North Pacific Ocean by large-scale nuclear weapons tests was transported to the Indian Ocean and then the Atlantic Ocean on a 4–5 decadal timescale, whereas 137Cs released from nuclear reprocessing plants was transported northward to the Arctic Ocean on a decadal scale.
Zhixuan Wang, Guizhi Wang, Xianghui Guo, Yan Bai, Yi Xu, and Minhan Dai
Earth Syst. Sci. Data, 15, 1711–1731, https://doi.org/10.5194/essd-15-1711-2023, https://doi.org/10.5194/essd-15-1711-2023, 2023
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We reconstructed monthly sea surface pCO2 data with a high spatial resolution in the South China Sea (SCS) from 2003 to 2020. We validate our reconstruction with three independent testing datasets and present a new method to assess the uncertainty of the data. The results strongly suggest that our reconstruction effectively captures the main features of the spatiotemporal patterns of pCO2 in the SCS. Using this dataset, we found that the SCS is overall a weak source of atmospheric CO2.
Peter Edward Land, Helen S. Findlay, Jamie D. Shutler, Jean-Francois Piolle, Richard Sims, Hannah Green, Vassilis Kitidis, Alexander Polukhin, and Irina I. Pipko
Earth Syst. Sci. Data, 15, 921–947, https://doi.org/10.5194/essd-15-921-2023, https://doi.org/10.5194/essd-15-921-2023, 2023
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Measurements of the ocean’s carbonate system (e.g. CO2 and pH) have increased greatly in recent years, resulting in a need to combine these data with satellite measurements and model results, so they can be used to test predictions of how the ocean reacts to changes such as absorption of the CO2 emitted by humans. We show a method of combining data into regions of interest (100 km circles over a 10 d period) and apply it globally to produce a harmonised and easy-to-use data archive.
Giulia Leone, Ana I. Catarino, Liesbeth De Keukelaere, Mattias Bossaer, Els Knaeps, and Gert Everaert
Earth Syst. Sci. Data, 15, 745–752, https://doi.org/10.5194/essd-15-745-2023, https://doi.org/10.5194/essd-15-745-2023, 2023
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This paper illustrates a dataset of hyperspectral reflectance measurements of macroplastics. Plastic samples consisted of pristine, artificially weathered, and biofouled plastic items and field plastic debris. Samples were measured in dry conditions and a subset of plastics in wet and submerged conditions. This dataset can be used to better understand plastic optical features when exposed to natural agents and to support the development of algorithms for monitoring environmental plastics.
Michael J. Whitehouse, Katharine R. Hendry, Geraint A. Tarling, Sally E. Thorpe, and Petra ten Hoopen
Earth Syst. Sci. Data, 15, 211–224, https://doi.org/10.5194/essd-15-211-2023, https://doi.org/10.5194/essd-15-211-2023, 2023
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We present a database of Southern Ocean macronutrient, temperature and salinity measurements collected on 20 oceanographic cruises between 1980 and 2009. Vertical profiles and underway surface measurements were collected year-round as part of an integrated ecosystem study. Our data provide a novel view of biogeochemical cycling in biologically productive regions across a critical period in recent climate history and will contribute to a better understanding of the drivers of primary production.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Simone Alin, Marta Álvarez, Kumiko Azetsu-Scott, Leticia Barbero, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Li-Qing Jiang, Steve D. Jones, Claire Lo Monaco, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 14, 5543–5572, https://doi.org/10.5194/essd-14-5543-2022, https://doi.org/10.5194/essd-14-5543-2022, 2022
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2022 is the fourth update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality controlling, including systematic evaluation of measurement biases. This version contains data from 1085 hydrographic cruises covering the world's oceans from 1972 to 2021.
Zhour Najoui, Nellya Amoussou, Serge Riazanoff, Guillaume Aurel, and Frédéric Frappart
Earth Syst. Sci. Data, 14, 4569–4588, https://doi.org/10.5194/essd-14-4569-2022, https://doi.org/10.5194/essd-14-4569-2022, 2022
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Oil spills could have serious repercussions for both the marine environment and ecosystem. The Gulf of Guinea is a very active area with respect to maritime traffic as well as oil and gas exploitation (platforms). As a result, the region is subject to a large number of oil pollution events. This study aims to detect oil slicks in the Gulf of Guinea and analyse their spatial and temporal distribution using satellite data.
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.
Gilles Reverdin, Claire Waelbroeck, Catherine Pierre, Camille Akhoudas, Giovanni Aloisi, Marion Benetti, Bernard Bourlès, Magnus Danielsen, Jérôme Demange, Denis Diverrès, Jean-Claude Gascard, Marie-Noëlle Houssais, Hervé Le Goff, Pascale Lherminier, Claire Lo Monaco, Herlé Mercier, Nicolas Metzl, Simon Morisset, Aïcha Naamar, Thierry Reynaud, Jean-Baptiste Sallée, Virginie Thierry, Susan E. Hartman, Edward W. Mawji, Solveig Olafsdottir, Torsten Kanzow, Anton Velo, Antje Voelker, Igor Yashayaev, F. Alexander Haumann, Melanie J. Leng, Carol Arrowsmith, and Michael Meredith
Earth Syst. Sci. Data, 14, 2721–2735, https://doi.org/10.5194/essd-14-2721-2022, https://doi.org/10.5194/essd-14-2721-2022, 2022
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The CISE-LOCEAN seawater stable isotope dataset has close to 8000 data entries. The δ18O and δD isotopic data measured at LOCEAN have uncertainties of at most 0.05 ‰ and 0.25 ‰, respectively. Some data were adjusted to correct for evaporation. The internal consistency indicates that the data can be used to investigate time and space variability to within 0.03 ‰ and 0.15 ‰ in δ18O–δD17; comparisons with data analyzed in other institutions suggest larger differences with other datasets.
Elena Ceballos-Romero, Ken O. Buesseler, and María Villa-Alfageme
Earth Syst. Sci. Data, 14, 2639–2679, https://doi.org/10.5194/essd-14-2639-2022, https://doi.org/10.5194/essd-14-2639-2022, 2022
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Thorium-234 is widely used for studying the removal rate of material on sinking particles from the upper ocean and for determining the downward flux of carbon. In this study, we present a compilation of the 50 years of 234Th measurements in the ocean and provide a broad overview of the character of the datasets. This provides a valuable resource useful to better understand and quantify how the contemporary oceanic carbon uptake functions and how it will change in future.
Jonathan D. Sharp, Andrea J. Fassbender, Brendan R. Carter, Paige D. Lavin, and Adrienne J. Sutton
Earth Syst. Sci. Data, 14, 2081–2108, https://doi.org/10.5194/essd-14-2081-2022, https://doi.org/10.5194/essd-14-2081-2022, 2022
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Oceanographers calculate the exchange of carbon between the ocean and atmosphere by comparing partial pressures of carbon dioxide (pCO2). Because seawater pCO2 is not measured everywhere at all times, interpolation schemes are required to fill observational gaps. We describe a monthly gap-filled dataset of pCO2 in the northeast Pacific Ocean off the west coast of North America created by machine-learning interpolation. This dataset is unique in its robust representation of coastal seasonality.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Steve D. Jones, Maren K. Karlsen, Claire Lo Monaco, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 13, 5565–5589, https://doi.org/10.5194/essd-13-5565-2021, https://doi.org/10.5194/essd-13-5565-2021, 2021
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2021 is the third update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 989 hydrographic cruises covering the world's oceans from 1972 to 2020.
Li-Qing Jiang, Richard A. Feely, Rik Wanninkhof, Dana Greeley, Leticia Barbero, Simone Alin, Brendan R. Carter, Denis Pierrot, Charles Featherstone, James Hooper, Chris Melrose, Natalie Monacci, Jonathan D. Sharp, Shawn Shellito, Yuan-Yuan Xu, Alex Kozyr, Robert H. Byrne, Wei-Jun Cai, Jessica Cross, Gregory C. Johnson, Burke Hales, Chris Langdon, Jeremy Mathis, Joe Salisbury, and David W. Townsend
Earth Syst. Sci. Data, 13, 2777–2799, https://doi.org/10.5194/essd-13-2777-2021, https://doi.org/10.5194/essd-13-2777-2021, 2021
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Coastal ecosystems account for most of the economic activities related to commercial and recreational fisheries and aquaculture industries, supporting about 90 % of the global fisheries yield and 80 % of known species of marine fish. Despite the large potential risks from ocean acidification (OA), internally consistent water column OA data products in the coastal ocean still do not exist. This paper is the first time we report a high quality OA data product in North America's coastal waters.
Guizhi Wang, Samuel S. P. Shen, Yao Chen, Yan Bai, Huan Qin, Zhixuan Wang, Baoshan Chen, Xianghui Guo, and Minhan Dai
Earth Syst. Sci. Data, 13, 1403–1417, https://doi.org/10.5194/essd-13-1403-2021, https://doi.org/10.5194/essd-13-1403-2021, 2021
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This study reconstructs a complete field of summer sea surface partial pressure of CO2 (pCO2) over the South China Sea (SCS) with a 0.5° resolution in the period of 2000–2017 using the scattered underway pCO2 observations. The spectral optimal gridding method was used in this reconstruction with empirical orthogonal functions computed from remote sensing data. Our reconstructed data show that the rate of sea surface pCO2 increase in the SCS is 2.4 ± 0.8 µatm yr-1 during 2000–2017.
Luke Gregor and Nicolas Gruber
Earth Syst. Sci. Data, 13, 777–808, https://doi.org/10.5194/essd-13-777-2021, https://doi.org/10.5194/essd-13-777-2021, 2021
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Ocean acidification (OA) has altered the ocean's carbonate chemistry, with consequences for marine life. Yet, no observation-based data set exists that permits us to study changes in OA. We fill this gap with a global data set of relevant surface ocean parameters over the period 1985–2018. This data set, OceanSODA-ETHZ, was created by using satellite and other data to extrapolate ship-based measurements of carbon dioxide and total alkalinity from which parameters for OA were computed.
Are Olsen, Nico Lange, Robert M. Key, Toste Tanhua, Henry C. Bittig, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Camilla S. Landa, Siv K. Lauvset, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, and Ryan J. Woosley
Earth Syst. Sci. Data, 12, 3653–3678, https://doi.org/10.5194/essd-12-3653-2020, https://doi.org/10.5194/essd-12-3653-2020, 2020
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by chemical analysis of water bottle samples at scientific cruises. GLODAPv2.2020 is the second update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 946 hydrographic cruises covering the world's oceans from 1972 to 2019.
Xosé Antonio Padin, Antón Velo, and Fiz F. Pérez
Earth Syst. Sci. Data, 12, 2647–2663, https://doi.org/10.5194/essd-12-2647-2020, https://doi.org/10.5194/essd-12-2647-2020, 2020
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The ARIOS (Acidification in the Rias and the Iberian Continental Shelf) database holds biogeochemical information from 3357 oceanographic stations, giving 17 653 discrete samples. This unique collection is a starting point for evaluating ocean acidification in the Iberian upwelling system, characterized by intense biogeochemical interactions as an observation-based analysis, or for use as inputs in a coupled physical–biogeochemical model to disentangle these interactions at the ecosystem level.
Peter Landschützer, Goulven G. Laruelle, Alizee Roobaert, and Pierre Regnier
Earth Syst. Sci. Data, 12, 2537–2553, https://doi.org/10.5194/essd-12-2537-2020, https://doi.org/10.5194/essd-12-2537-2020, 2020
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In recent years, multiple estimates of the global air–sea CO2 flux emerged from upscaling shipboard pCO2 measurements. They are however limited to the open-ocean domain and do not consider the coastal ocean, i.e. a significant marine sink for CO2. We build towards an integrated pCO2 product that combines both the open-ocean and coastal-ocean domain and focus on the evaluation of the common overlap area of these products and how well the aquatic continuum is represented in the new climatology.
Malek Belgacem, Jacopo Chiggiato, Mireno Borghini, Bruno Pavoni, Gabriella Cerrati, Francesco Acri, Stefano Cozzi, Alberto Ribotti, Marta Álvarez, Siv K. Lauvset, and Katrin Schroeder
Earth Syst. Sci. Data, 12, 1985–2011, https://doi.org/10.5194/essd-12-1985-2020, https://doi.org/10.5194/essd-12-1985-2020, 2020
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Long-term time series are a fundamental prerequisite to understanding and detecting climate shifts and trends. In marginal seas, such as the Mediterranean Sea, there are still monitoring gaps. An extensive dataset of dissolved inorganic nutrient profiles were collected between 2004 and 2017 in the western Mediterranean Sea to provide to the scientific community a publicly available, long-term, quality-controlled, internally consistent new database.
Daniel Broullón, Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, J. Magdalena Santana-Casiano, and Alex Kozyr
Earth Syst. Sci. Data, 12, 1725–1743, https://doi.org/10.5194/essd-12-1725-2020, https://doi.org/10.5194/essd-12-1725-2020, 2020
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This work offers a vision of the global ocean regarding the carbon cycle and the implications of ocean acidification through a climatology of a changing variable in the context of climate change: total dissolved inorganic carbon. The climatology was designed through artificial intelligence techniques to represent the mean state of the present ocean. It is very useful to introduce in models to evaluate the state of the ocean from different perspectives.
Rik Wanninkhof, Denis Pierrot, Kevin Sullivan, Leticia Barbero, and Joaquin Triñanes
Earth Syst. Sci. Data, 12, 1489–1509, https://doi.org/10.5194/essd-12-1489-2020, https://doi.org/10.5194/essd-12-1489-2020, 2020
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This paper describes a 17-year dataset of over a million data points of automated partial pressure of CO2 (pCO2) measurements on large luxury cruise ships of Royal Caribbean Cruise Lines (RCCL). These data are used to provide trends of ocean acidification and air–sea CO2 fluxes. The effort was possible through a unique continuing industry (RCCL), academic (University of Miami) and governmental (NOAA) partnership.
Viena Puigcorbé, Pere Masqué, and Frédéric A. C. Le Moigne
Earth Syst. Sci. Data, 12, 1267–1285, https://doi.org/10.5194/essd-12-1267-2020, https://doi.org/10.5194/essd-12-1267-2020, 2020
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The biological carbon pump is a mechanism by which the oceans capture atmospheric carbon dioxide thanks to microscopic marine algae. Quantifying its strength and efficiency is crucial to understand the global carbon budget and be able to forecast its trends. The radioactive pair 234Th : 238U has been extensively used for that purpose. This is a global compilation of carbon-to-234Th ratios (needed to convert the 234Th fluxes to carbon fluxes) that will contribute to improve our modeling efforts.
Cited articles
Barnes, S.L.: A technique for maximizing details in numerical weather map analysis, J. App. Meteor., 3, 396–409, https://doi.org/10.1175/1520-0450(1964)003<0396:ATFMDI>2.0.CO;2, 1964.
Barnes, S. L.:
Applications of the Barnes Objective Analysis Scheme, Part III: Tuning for Minimum Error,
J. Atmos. Ocean. Tech.,
11, 1459–1479, 1994.
Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L.: divand-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225–241, https://doi.org/10.5194/gmd-7-225-2014, 2014.
Bartoli, G., Migon, C., and Losno, R.: Atmospheric input of dissolved inorganic phosphorus and silicon to the coastal northwestern Mediterranean Sea: fluxes, variability and possible impact on phytoplankton dynamics, Deep-Sea Res. Pt. I, 52, 2005–2016, https://doi.org/10.1016/j.dsr.2005.06.006, 2005.
Beckers, J. M., Barth, A., Troupin, C., and Alvera-Azcárate, A.:
Approximate and efficient methods to assess error fields in spatial gridding with data interpolating variational analysis (DIVA),
J. Atmos. Ocean. Tech.,
31, 515–530, https://doi.org/10.1175/JTECH-D-13-00130.1, 2014.
Belgacem, M., Chiggiato, J., Borghini, M., Pavoni, B., Cerrati, G., Acri, F; Cozzi, S., Ribotti, A., Álvarez, M., Lauvset, S. K., and Schroeder, K.:
Quality controlled dataset of dissolved inorganic nutrients in the western Mediterranean Sea (2004–2017) from R/V oceanographic cruises,
PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.904172, 2019.
Belgacem, M., Chiggiato, J., Borghini, M., Pavoni, B., Cerrati, G., Acri, F., Cozzi, S., Ribotti, A., Álvarez, M., Lauvset, S. K., and Schroeder, K.: Dissolved inorganic nutrients in the western Mediterranean Sea (2004–2017), Earth Syst. Sci. Data, 12, 1985–2011, https://doi.org/10.5194/essd-12-1985-2020, 2020.
Belgacem, M., Schroeder, K., Barth, A., Troupin, C., Pavoni, B., Chiggiato, J.:
A climatological product of inorganic nutrient distributions on the Western Mediterranean Sea (BGC-WMED) derived from cruise-based measurements spanning 1981 to 2017,
PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.930447, 2021.
Bethoux, J. P., Morin, P., Madec, C., and Gentili, B.:
Phosphorus and nitrogen behaviour in the Mediterranean Sea,
Deep-Sea Res. Pt. I,
39, 1641–1654, https://doi.org/10.1016/0198-0149(92)90053-V, 1992.
Béthoux, J. P., De Madron, X. D., Nyffeler, F., and Tailliez, D.: Deep water in the western Mediterranean: peculiar 1999 and 2000 characteristics, shelf formation hypothesis, variability since 1970 and geochemical inferences, J. Marine Syst., 33, 117–131, https://doi.org/10.1016/S0924-7963(02)00055-6, 2002.
Bindoff, N. L., Willebrand, J., Artale, V., Cazenave, A., Gregory, J., Gulev, S., Hanawa, K., Le Quéré, C., Levitus, S., Nojiri, Y., Shum, C. K., Talley, L. D., and Unnikrishnan, A.: Observations: Oceanic Climate Change and Sea Level. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 385–428, 2007.
Boyer, T. P., Baranova, O. K., Coleman, C., Garcia, H. E., Grodsky, A., Locarnini, R. A., Mishonov, A. V., Paver, C. R., Reagan, J. R., Seidov, D., Smolyar, I. V., Weathers, K., and Zweng, M. M.: World Ocean Database 2018, Technical Ed., NOAA Atlas NESDIS 87, available at: https://www.ncei.noaa.gov/sites/default/files/2020-04/wod_intro_0.pdf (last access: 12 September 2019), 2018.
Brankart, J. M. and Brasseur, P.:
The general circulation in the Mediterranean Sea: A climatological approach,
J. Marine Syst.,
18, 41–70, https://doi.org/10.1016/S0924-7963(98)00005-0, 1998.
Brasseur, P., Beckers, J. M., Brankart, J. M., and Schoenauen, R.:
Seasonal temperature and salinity fields in the Mediterranean Sea: Climatological analyses of a historical data set,
Deep-Sea Res. Pt. I,
43, 159–192, https://doi.org/10.1016/0967-0637(96)00012-X, 1996.
Brasseur, P. P.:
A variational inverse method for the reconstruction of general circulation fields in the northern Bering Sea,
J. Geophys. Res.,
96, 4891, https://doi.org/10.1029/90jc02387, 1991.
Buga, L., Eilola, K., Wesslander, K., Fryberg, L., Gatti, J., Leroy, D., Iona, S., Tsompanou, M., and Lipizer, M.:
EMODnet Thematic Lot no 4/SI2.749773 Interpolating Variational Analysis (DIVA), Technical Report, Release 2018,
https://doi.org/10.6092/A8CFB472-10DB-4225-9737-5A60DA9AF523, 2019.
Capet, A., Troupin, C., Carstensen, J., Grégoire, M., and Beckers, J. M.:
Untangling spatial and temporal trends in the variability of the Black Sea Cold Intermediate Layer and mixed Layer Depth using the DIVA detrending procedure,
Ocean Dynam.,
64, 315–324, https://doi.org/10.1007/s10236-013-0683-4, 2014.
Cheng, L., Abraham, J., Trenberth, K. E., Fasullo, J., Boyer, T., Locarnini, R., Zhang, B., Yu, F., Wan, L., Chen, X., Song, X., Liu, Y., Mann, M. E., Reseghetti, F., Simoncelli, S., Gouretski, V., Chen, G., Mishonov, A., Reagan, J., and Zhu, J. : Upper ocean temperatures hit record high in 2020, Adv. Atmos. Sci., 38, 523–530, https://doi.org/10.1007/s00376-021-0447-x, 2021.
Conkright, M. E., Levitus, S., and Boyer, T. P.: World Ocean Atlas 1994, Volume 1: Nutrients, NOAA Atlas NESDIS 1, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, Washington, D.C. 150 pp., available at: https://books.google.it/books?hl=fr&lr=&id=CGzCEIRq4mcC&oi=fnd&pg=PR12&ots=1S7YfcAQTu&sig=-PiGwcnpSSNXnFStLbV428ho-VM&redir_esc=y#v=onepage&q&f=false (last access: 15 September 2019), 1994.
Coppola, L.: MOOSE-GE 2016 cruise, RV L'Atalante, https://doi.org/10.17600/16000700, 2016.
Crispi, G., Mosetti, R., Solidoro, C., and Crise, A.:
Nutrients cycling in Mediterranean basins: The role of the biological pump in the trophic regime,
Ecol. Model.,
138, 101–114, 2001.
Crombet, Y., Leblanc, K., Quéguiner, B., Moutin, T., Rimmelin, P., Ras, J., Claustre, H., Leblond, N., Oriol, L., and Pujo-Pay, M.: Deep silicon maxima in the stratified oligotrophic Mediterranean Sea, Biogeosciences, 8, 459–475, https://doi.org/10.5194/bg-8-459-2011, 2011.
de Fommervault, O. P., Migon, C., D'Ortenzio, F., Ribera d'Alcalà, M., and Coppola, L.:
Temporal variability of nutrient concentrations in the northwestern Mediterranean sea (DYFAMED time-series station),
Deep-Sea Res. Pt. I,
100, 1–12, https://doi.org/10.1016/j.dsr.2015.02.006, 2015.
DeMaster, D. J.:
The accumulation and cycling of biogenic silica in the Southern Ocean: Revisiting the marine silica budget,
Deep-Sea Res. Pt. II,
49, 3155–3167, https://doi.org/10.1016/S0967-0645(02)00076-0, 2002.
Desroziers, G., Berre, L., Chapnik, B., and Poli, P.:
Diagnosis of observation, background and analysis-error statistics in observation space,
Q. J. Roy. Meteor. Soc.,
131, 3385–3396, https://doi.org/10.1256/qj.05.108, 2005.
Diaz, P., Raimbault, F., Boudjellal, B., Garcia, N., and Moutin, T.:
Early spring phosphorus limitation of primary productivity in a NW Mediterranean coastal zone (Gulf of Lions),
Mar. Ecol. Prog. Ser.,
211, 51–62, https://doi.org/10.3354/meps211051, 2001.
D'Ortenzio, F. and Ribera d'Alcalà, M.: On the trophic regimes of the Mediterranean Sea: a satellite analysis, Biogeosciences, 6, 139–148, https://doi.org/10.5194/bg-6-139-2009, 2009.
D'Ortenzio, F., Taillandier, V., Claustre, H., Prieur, L. M., Leymarie, E., Mignot, A., Poteau, A., Penkerc, C., and Schmechtig, C. M.:
Biogeochemical Argo: The Test Case of the NAOS Mediterranean Array,
Frontiers in Marine Science,
7, 1–16, https://doi.org/10.3389/fmars.2020.00120, 2020.
Durrieu de Madron, X., Houpert, L., Puig, P., Sanchez-Vidal, A., Testor, P., Bosse, A., Estournel, C., Somot, S., Bourrin, F., Bouin, M. N., Beauverger, M., Beguery, L., Calafat, A., Canals, M., Cassou, C., Coppola, L., Dausse, D., D’Ortenzio, F., Font, J., Heussner, S., Kunesch, S., Lefevre, D., Le Goff, H., Martín, J., Mortier, L., Palanques, A., and Raimbault, P.: Interaction of dense shelf water cascading and open-sea convection in the northwestern Mediterranean during winter 2012, Geophys. Res. Lett., 40, 1379–1385, https://doi.org/10.1002/grl.50331, 2013.
Estournel, C., Testor, P., Taupier-Letage, I., Bouin, M.-N., Coppola, L., Durand, P., Conan, P., Bosse, A., Brilouet, P.-E., Beguery, L., Belamari, S. Béranger, K., Beuvier, J., Bourras, D., Canut, G. Doerenbecher, A., Durrieu de Madron, X., D’Ortenzio, F., Drobinski, P., Ducrocq, V., Fourrié, N., Giordani, H., Houpert, L., Labatut, L., Brossier, C. L., Nuret, M., Prieur, L., Roussot, O., Seyfried, L., and Somot, S.: HyMeX-SOP2: The field campaign dedicated to dense water formation in the northwestern Mediterranean, Oceanography, 29, 196–206, https://doi.org/10.5670/oceanog.2016.94, 2016.
Fichaut, M., Garcia, M. J., Giorgetti, A., Iona, A., Kuznetsov, A., Rixen, M., and Group, M.:
MEDAR/MEDATLAS 2002: A Mediterranean and Black Sea database for operational oceanography,
Elsev. Oceanogr. Serie.,
69, 645–648, https://doi.org/10.1016/S0422-9894(03)80107-1, 2003.
Frings, P. J., Clymans, W., Fontorbe, G., De La Rocha, C. L., and Conley, D. J.:
The continental Si cycle and its impact on the ocean Si isotope budget,
Chem. Geol.,
425, 12–36, https://doi.org/10.1016/j.chemgeo.2016.01.020, 2016.
Garcia, H. E., Weathers, K. W., Paver, C. R., Smolyar, I., Boyer, T. P., Locarnini, R. A., Zweng, M. M., Mishonov, A. V., Baranova, O. K., Seidov, D., and Reagan, J. R.:
World Ocean Atlas 2018, Vol. 4: Dissolved Inorganic Nutrients (phosphate, nitrate and nitrate+nitrite, silicate), NOAA Atlas NESDIS 84, 35 pp., available at: https://archimer.ifremer.fr/doc/00651/76336/, last access: 15 September 2019.
García-Martínez, M. del C., Vargas-Yáñez, M., Moya, F., Santiago, R., Muñoz, M., Reul, A., Ramírez, T., and Balbín, R.:
Average nutrient and chlorophyll distributions in the western Mediterranean: RADMED project,
Oceanologia,
61, 143–169, https://doi.org/10.1016/j.oceano.2018.08.003, 2019.
Giorgi, F.:
Climate change hot-spots,
Geophys. Res. Lett.,
33, 1–4, https://doi.org/10.1029/2006GL025734, 2006.
Hecht, A., Pinardi, N., and Robinson, A. R.:
Currents, Water Masses, Eddies and Jets in the Mediterreanean Levantine Basin,
J. Phys. Oceanogr.,
18, 1320–1353, 1988.
Houpert, L., Durrieu de Madron, X., Testor, P., Bosse, A., D'Ortenzio, F., Bouin, M. N., Dausse, D., Le Goff, H., Kunesch, S., Labaste, M., Coppola, L., Mortier, L., and Raimbault, P.:
Observations of open-ocean deep convection in the northwestern Mediterranean Sea: Seasonal and interannual variability of mixing and deep water masses for the 2007–2013 Period,
J. Geophys. Res.-Oceans,
121, 8139–8171, https://doi.org/10.1002/2016JC011857, 2016.
Huertas, I. E., Ríos, A. F., García‐Lafuente, J., Navarro, G., Makaoui, A., Sánchez‐Román, A., Rodriguez-Galvez, S., Orbi, A. , Ruíz, J., and Pérez, F. F.: Atlantic forcing of the Mediterranean oligotrophy, Global Biogeochem. Cy., 26, GB2022, https://doi.org/10.1029/2011GB004167, 2012.
Hydes, D., Aoyama, M., Aminot, A., Bakker, K., Becker, S., Coverly, S., Daniel, A., Dickson, A., Grosso, O., Kerouel, R., Van Ooijen, J., Sato, K., Tanhua, T., Woodward, M., and Zhang, J.: Determination of dissolved nutrients (N, P, Si) in seawater with high precision and inter-comparability using gas-segmented continuous flow analysers, in: The GO-SHIP Repeat Hydrography Manual: A Collection of Expert Reports and guidelines, IOCCP Report No 14, ICPO Publication Series No. 134, version 1, 2010 (UNESCO/IOC), available at: https://archimer.ifremer.fr/doc/00020/13141/ (last access: 15 September 2019), 2010.
Iona, A., Theodorou, A., Watelet, S., Troupin, C., Beckers, J.-M., and Simoncelli, S.: Mediterranean Sea Hydrographic Atlas: towards optimal data analysis by including time-dependent statistical parameters, Earth Syst. Sci. Data, 10, 1281–1300, https://doi.org/10.5194/essd-10-1281-2018, 2018.
Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J. L., Feely, R. A., Millero, F. J., Mordy, C. and Peng, T. H.:
A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP),
Global Biogeochem. Cy.,
18, 1–23, https://doi.org/10.1029/2004GB002247, 2004.
Krom, M. D., Herut, B., and Mantoura, R. F. C.; Nutrient budget for the Eastern Mediterranean: Implications for phosphorus limitation, Limnol. Oceanogr., 49, 1582–1592, https://doi.org/10.4319/lo.2004.49.5.1582, 2004.
Krom, M. D., Emeis, K. C., and Van Cappellen, P.:
Why is the Eastern Mediterranean phosphorus limited?,
Prog. Oceanogr.,
85, 236–244, https://doi.org/10.1016/j.pocean.2010.03.003, 2010.
Krom, M. D., Kress, N., and Fanning, K.: Silica cycling in the ultra-oligotrophic eastern Mediterranean Sea, Biogeosciences, 11, 4211–4223, https://doi.org/10.5194/bg-11-4211-2014, 2014.
Lascaratos, A., Roether, W., Nittis, K., and Klein, B.: Recent changes in deep water formation and spreading in the eastern Mediterranean Sea: a review, Prog. Oceanogr., 44, 5–36, 1999.
Lauvset, S. K., Key, R. M., Olsen, A., van Heuven, S., Velo, A., Lin, X., Schirnick, C., Kozyr, A., Tanhua, T., Hoppema, M., Jutterström, S., Steinfeldt, R., Jeansson, E., Ishii, M., Perez, F. F., Suzuki, T., and Watelet, S.: A new global interior ocean mapped climatology: the 1∘ × 1∘ GLODAP version 2, Earth Syst. Sci. Data, 8, 325–340, https://doi.org/10.5194/essd-8-325-2016, 2016.
Lauvset, S. K., Lange, N., Tanhua, T., Bittig, H. C., Olsen, A., Kozyr, A., Álvarez, M., Becker, S., Brown, P. J., Carter, B. R., Cotrim da Cunha, L., Feely, R. A., van Heuven, S., Hoppema, M., Ishii, M., Jeansson, E., Jutterström, S., Jones, S. D., Karlsen, M. K., Lo Monaco, C., Michaelis, P., Murata, A., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Tilbrook, B., Velo, A., Wanninkhof, R., Woosley, R. J., and Key, R. M.: An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-234, in review, 2021.
Lavigne, H., D'Ortenzio, F., Ribera D'Alcalà, M., Claustre, H., Sauzède, R., and Gacic, M.: On the vertical distribution of the chlorophyll a concentration in the Mediterranean Sea: a basin-scale and seasonal approach, Biogeosciences, 12, 5021–5039, https://doi.org/10.5194/bg-12-5021-2015, 2015.
Lazzari, P., Solidoro, C., Ibello, V., Salon, S., Teruzzi, A., Béranger, K., Colella, S., and Crise, A.: Seasonal and inter-annual variability of plankton chlorophyll and primary production in the Mediterranean Sea: a modelling approach, Biogeosciences, 9, 217–233, https://doi.org/10.5194/bg-9-217-2012, 2012.
Lazzari, P., Solidoro, C., Salon, S., and Bolzon, G.:
Spatial variability of phosphate and nitrate in the Mediterranean Sea: A modeling approach,
Deep-Sea Res. Pt. I,
108, 39–52, https://doi.org/10.1016/j.dsr.2015.12.006, 2016.
Levitus, S.:
Climatological Atlas of the World Ocean,
EOS T. Am. Geophys. Un.,
64, 962–963, https://doi.org/10.1029/EO064i049p00962-02, 1982.
Li, P. and Tanhua, T.:
Recent Changes in Deep Ventilation of the Mediterranean Sea; Evidence From Long-Term Transient Tracer Observations,
Front. Mar. Sci.,
7, 1–23, https://doi.org/10.3389/fmars.2020.00594, 2020.
Lipizer, M., Partescano, E., Rabitti, A., Giorgetti, A., and Crise, A.: Qualified temperature, salinity and dissolved oxygen climatologies in a changing Adriatic Sea, Ocean Sci., 10, 771–797, https://doi.org/10.5194/os-10-771-2014, 2014.
Lucea, A., Duarte, C. M., and Agustı, S.:
Nutrient (N, P and Si) and carbon partitioning in the stratified NW Mediterranean,
J. Sea Res.,
49, 157–170, https://doi.org/10.1016/S1385-1101(03)00005-4, 2003.
Ludwig, W., Dumont, E., Meybeck, M., and Heussner, S.:
River discharges of water and nutrients to the Mediterranean and Black Sea: Major drivers for ecosystem changes during past and future decades?,
Prog. Oceanogr.,
80, 199–217, https://doi.org/10.1016/j.pocean.2009.02.001, 2009.
Ludwig, W., Bouwman, A. F., Dumont, E., and Lespinas, F.:
Water and nutrient fluxes from major Mediterranean and Black Sea rivers: Past and future trends and their implications for the basin-scale budgets,
Global Biogeochem. Cy.,
24, 1–14, https://doi.org/10.1029/2009GB003594, 2010.
Maillard, C., Lowry, R., Maudire, G., and Schaap, D.: SeaDataNet: Development of a Pan-European infrastructure for ocean and marine data management, in: OCEANS 2007 – Europe, Aberdeen, UK, 18–21 June 2007, 1–6, https://doi.org/10.1109/OCEANSE.2007.4302435, 2007.
Malanotte-Rizzoli, P., Manca, B. B., D'Alcala, M. R., Theocharis, A., Brenner, S., Budillon, G., and Ozsoy, E.:
The Eastern Mediterranean in the 80s and in the 90s: The big transition in the intermediate and deep circulations,
Dynam. Atmos. Oceans,
29, 365–395, https://doi.org/10.1016/S0377-0265(99)00011-1, 1999.
Manca, B., Burca, M., Giorgetti, A., Coatanoan, C., Garcia, M. J., and Iona, A.:
Physical and biochemical averaged vertical profiles in the Mediterranean regions: An important tool to trace the climatology of water masses and to validate incoming data from operational oceanography,
J. Marine Syst.,
48, 83–116, https://doi.org/10.1016/j.jmarsys.2003.11.025, 2004.
MEDOC GROUP: Observation of Formation of Deep Water in the Mediterranean Sea, 1969, Nature, 227, 1037–1040, https://doi.org/10.1038/2271037a0, 1970.
Míguez, B. M., Novellino, A., Vinci, M., Claus, S., Calewaert, J. B., Vallius, H., Schmitt, T., Pititto, A., Giorgetti, A., Askew, N., Iona, S., Schaap, D., Pinardi, N., Harpham, Q., Kater, B. J., Populus, J., She, J., Palazov, A. V., McMeel, O., Oset, P., Lear, D., Manzella, G. M. R., Gorringe, P., Simoncelli, S., Larkin, K., Holdsworth, N., Arvanitidis, C. D., Jack, M. E. M., Chaves Montero, M. del M., Herman, P. M. J., and Hernandez, F.:
The European Marine Observation and Data Network (EMODnet): Visions and roles of the gateway to marine data in Europe,
Front. Mar. Sci.,
6, 1–24, https://doi.org/10.3389/fmars.2019.00313, 2019.
Moon, J., Lee, K., Tanhua, T., Kress, N., and Kim, I.:
Temporal nutrient dynamics in the Mediterranean Sea in response to anthropogenic inputs,
Geophys. Res. Lett.,
5243–5251, https://doi.org/10.1002/2016GL068788.Received, 2016.
Moore, C. M., Mills, M. M., Arrigo, K. R., Berman-Frank, I., Bopp, L., Boyd, P. W., Galbraith, E. D., Geider, R. J., Guieu, C., Jaccard, S. L., Jickells, T. D., La Roche, J., Lenton, T. M., Mahowald, N. M., Marañón, E., Marinov, I., Moore, J. K., Nakatsuka, T., Oschlies, A., Saito, M. A., Thingstad, T. F., Tsuda, A., and Ulloa, O.:
Processes and patterns of oceanic nutrient limitation,
Nat. Geosci.,
6, 701–710, https://doi.org/10.1038/ngeo1765, 2013.
Murphy, A. H.:
Skill Scores Based on the Mean Square Error and Their Relationships to the Correlation Coefficient,
Mon. Weather Rev.,
116, 2417–2424, https://doi.org/10.1175/1520-0493(1988)116<2417:SSBOTM>2.0.CO;2, 1988.
Olsen, A., Key, R. M., van Heuven, S., Lauvset, S. K., Velo, A., Lin, X., Schirnick, C., Kozyr, A., Tanhua, T., Hoppema, M., Jutterström, S., Steinfeldt, R., Jeansson, E., Ishii, M., Pérez, F. F., and Suzuki, T.: The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internally consistent data product for the world ocean, Earth Syst. Sci. Data, 8, 297–323, https://doi.org/10.5194/essd-8-297-2016, 2016.
Olsen, A., Lange, N., Key, R. M., Tanhua, T., Bittig, H. C., Kozyr, A., Álvarez, M., Azetsu-Scott, K., Becker, S., Brown, P. J., Carter, B. R., Cotrim da Cunha, L., Feely, R. A., van Heuven, S., Hoppema, M., Ishii, M., Jeansson, E., Jutterström, S., Landa, C. S., Lauvset, S. K., Michaelis, P., Murata, A., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Tilbrook, B., Velo, A., Wanninkhof, R., and Woosley, R. J.: An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020, Earth Syst. Sci. Data, 12, 3653–3678, https://doi.org/10.5194/essd-12-3653-2020, 2020.
Ozer, T., Gertman, I., Kress, N., Silverman, J., and Herut, B.:
Interannual thermohaline (1979–2014) and nutrient (2002–2014) dynamics in the Levantine surface and intermediate water masses, SE Mediterranean Sea,
Glob. Planet. Change, 151, 60–67, https://doi.org/10.1016/j.gloplacha.2016.04.001, 2017.
Picco, P.: Climatological atlas of the western Mediterranean, Technical report
Center for Energy and Environmental Research, Santa Teresa, la Spezia, Italy, 224 pp., 1990.
Piñeiro, S., González-Pola, C., Fernández-Díaz, J. M., and Balbin, R.:
Thermohaline Evolution of the Western Mediterranean Deep Waters Since 2005: Diffusive Stages and Interannual Renewal Injections,
J. Geophys. Res.-Oceans,
124, 8747–8766, https://doi.org/10.1029/2019JC015094, 2019.
Pondaven, P., Ruiz-Pino, D., Druon, J. N., Fravalo, C., and Tréguer, P.:
Factors controlling silicon and nitrogen biogeochemical cycles in high nutrient, low chlorophyll systems (the Southern Ocean and the North Pacific): Comparison with a mesotrophic system (the North Atlantic),
Deep-Sea Res. Pt. I,
46, 1923–1968, https://doi.org/10.1016/S0967-0637(99)00033-3, 1999.
Pujo-Pay, M., Conan, P., Oriol, L., Cornet-Barthaux, V., Falco, C., Ghiglione, J.-F., Goyet, C., Moutin, T., and Prieur, L.: Integrated survey of elemental stoichiometry (C, N, P) from the western to eastern Mediterranean Sea, Biogeosciences, 8, 883–899, https://doi.org/10.5194/bg-8-883-2011, 2011.
Rahav, E., Herut, B., Stambler, N., Bar-Zeev, E., Mulholland, M. R., and Berman-Frank, I.:
Uncoupling between dinitrogen fixation and primary productivity in the eastern Mediterranean Sea,
J. Geophys. Res.-Biogeo.,
118, 195–202, https://doi.org/10.1002/jgrg.20023, 2013.
Reale, M., Giorgi, F., Solidoro, C., Di Biagio, V., Di Sante, F., Mariotti, L., Farneti, R., and Sannino, G.: The Regional Earth System Model RegCM-ES: Evaluation of the Mediterranean climate and marine biogeochemistry, J. Adv. Model. Earth Sy., 12, e2019MS001812, https://doi.org/10.1029/2019MS001812, 2020.
Reul, A., Rodríguez, V., Jiménez-Gómez, F., Blanco, J. M., Bautista, B., Sarhan, T., Guerrero, F., Ruíz, J., and García-Lafuente, J.:
Variability in the spatio-temporal distribution and size-structure of phytoplankton across an upwelling area in the NW-Alboran Sea, (W-Mediterranean),
Cont. Shelf Res.,
25, 589–608, https://doi.org/10.1016/j.csr.2004.09.016, 2005.
Ribera d'Alcalà, M., Civitarese, G., Conversano, F., and Lavezza, R.:
Nutrient ratios and fluxes hint at overlooked processes in the Mediterranean Sea,
J. Geophys. Res.-Oceans,
108, 8106, https://doi.org/10.1029/2002jc001650, 2003.
Rixen, M., Beckers, J. M., Brankart, J. M., and Brasseur, P.:
A numerically efficient data analysis method with error map generation,
Ocean Model.,
2, 45–60, https://doi.org/10.1016/s1463-5003(00)00009-3, 2000.
Roether, W. and Schlitzer, R.:
Eastern Mediterranean deep water renewal on the basis of chlorofluoromethane and tritium data,
Dynam. Atmos. Oceans,
15, 333–354, https://doi.org/10.1016/0377-0265(91)90025-B, 1991.
Roether, W., Manca, Beniamino B. Klein, B., Bregant, D., Georgopoulos, D., Beitzel, V., and Kovačević, V., and Luchetta, A.:
Recent Changes in Eastern Mediterranean Deep Waters,
Science, 271, 333–335, https://doi.org/10.1126/science.271.5247.333, 1996.
Roether, W., Klein, B., Bruno, B., Theocharis, A., and Kioroglou, S.:
Progress in Oceanography Transient Eastern Mediterranean deep waters in response to the massive dense-water output of the Aegean Sea in the 1990s,
Prog. Oceanogr.,
74, 540–571, https://doi.org/10.1016/j.pocean.2007.03.001, 2007.
Roether, W., Klein, B., and Hainbucher, D.:
The Eastern Mediterranean Transient: Evidence for Similar Events Previously?,
in: The Mediterranean Sea: Temporal variability and spatial patterns, Geophysical Monograph Series, 202,
AGU (American Geophysical Union), Wiley, Washington, USA, 75–83, https://doi.org/10.1002/9781118847572.ch6, 2014.
Salgado-Hernanz, P. M., Racault, M. F., Font-Muñoz, J. S., and Basterretxea, G.:
Trends in phytoplankton phenology in the Mediterranean Sea based on ocean-colour remote sensing,
Remote Sens. Environ.,
221, 50–64, https://doi.org/10.1016/j.rse.2018.10.036, 2019.
Sarmiento, J. L. and Toggweiler, J. R.:
A new model for the role of the oceans in determining atmospheric PCO2,
Nature,
308, 621–624, https://doi.org/10.1038/308621a0, 1984.
Schroeder, K., Gasparini, G. P., Borghini, M., Cerrati, G., and Delfanti, R.:
Biogeochemical tracers and fl uxes in the Western Mediterranean Sea, spring 2005,
J. Marine Syst.,
80, 8–24, https://doi.org/10.1016/j.jmarsys.2009.08.002, 2010.
Schroeder, K., Tanhua, T., Bryden, H., Alvarez, M., Chiggiato, J., and Aracri, S.:
Mediterranean Sea Ship-based Hydrographic Investigations Program (Med-SHIP),
Oceanography,
28, 12–15, https://doi.org/10.5670/oceanog.2015.71, 2015.
Schroeder, K., Chiggiato, J., Bryden, H. L., Borghini, M., and Ben Ismail, S.:
Abrupt climate shift in the Western Mediterranean Sea,
Scientific Reports,
6, 23009, https://doi.org/10.1038/srep23009, 2016.
Schroeder, K., Chiggiato, J., Josey, S. A., Borghini, M., Aracri, S., and Sparnocchia, S.:
Rapid response to climate change in a marginal sea,
Scientific Reports, 7,
1–7, https://doi.org/10.1038/s41598-017-04455-5, 2017.
Schroeder, K., Cozzi, S., Belgacem, M., Borghini, M., Cantoni, C., Durante, S., Petrizzo, A., Poiana, A., and Chiggiato, J.:
Along-Path Evolution of Biogeochemical and Carbonate System Properties in the Intermediate Water of the Western Mediterranean,
Front. Mar. Sci.,
7, 1–19, https://doi.org/10.3389/fmars.2020.00375, 2020.
Schröder, K., Gasparini, G. P., Tangherlini, M., and Astraldi, M.:
Deep and intermediate water in the western Mediterranean under the influence of the Eastern Mediterranean Transient,
Geophys. Res. Lett.,
33, 2–7, https://doi.org/10.1029/2006GL027121, 2006.
SeaDataNet Group: Data Quality Control Procedures, Tech. Rep. Version 2.0, SeaDataNet consortium, available at:
https://www.seadatanet.org/Standards/Data-Quality-Control (last access: September 2019), 2010.
Shepherd, J. G., Brewer, P. G., Oschlies, A., and Watson, A. J.: Ocean ventilation and deoxygenation in a warming world: introduction and overview. Philos. T. R. Soc. A, 375, 20170240, https://doi.org/10.1098/rsta.2017.0240, 2017.
Simoncelli, S. and Oliveri, P.: SeaDataCloud Mediterranean Sea – Temperature and Salinity Climatology V1, https://doi.org/10.12770/ad07a55f-5de7-4abc-ba89-8899b16c4b59, 2019.
Simoncelli, S., Tonani, M., Grandi, A., Coatanoan, C., Myroshnychenko, V., Sagen H., Bäck Ö., Scory, S., Schlitzer, R., and Fichaut, M.: First Release of the SeaDataNet Aggregated Data Sets Products, WP10 Second Year Report – DELIVERABLE D10.2, https://doi.org/10.13155/49827, 2014.
Simoncelli, S., Coatanoan, C., Myroshnychenko, V., Sagen, H., Back, O., Scory, S., Grandi, A., Barth, A., and Fichaut, M.: SeaDataNet, First Release of Regional Climatologies, WP10 Third Year Report – DELIVERABLE D10.3, https://doi.org/10.13155/50381, 2015.
Simoncelli, S., Coatanoan, C., Back, O., Sagen, H., Scory, S., Myroshnychenko, V., Schaap, D., Schlitzer, R., Iona, S., and Fichaut, M.: The SeaDataNet data products: regional temperature and salinity historical data collections, EGU 2016 – European Geosciences Union General Assembly 2016, 17–22 April 2016, Austria, available at: https://archimer.ifremer.fr/doc/00326/43753/ (last access: 3 September 2019), 2016.
Simoncelli S., Oliveri P., and Mattia G.: SeaDataCloud Temperature and Salinity Climatology for the Mediterranean Sea (Version 1), Product Information Document (PIDoc), https://doi.org/10.13155/77506, 2020a.
Simoncelli, S., Oliveri, P., and Mattia, G.: SeaDataCloud Mediterranean Sea – V2 Temperature and Salinity Climatology, https://doi.org/10.12770/3f8eaace-9f9b-4b1b-a7a4-9c55270e205a, 2020b.
Simoncelli, S., Oliveri, P., Mattia, G., Myroshnychenko, V., Barth, A., and Troupin, C.: SeaDataCloud Temperature and Salinity Climatology for the Mediterranean Sea (Version 2), Product Information Document (PIDoc), https://doi.org/10.13155/77514, 2020c.
Simoncelli, S., Coatanoan, C., Myroshnychenko, V., Bäck, Ö., Sagen, H., Scory, S., Pinardi, N., Barth, A., Troupin, C., Shahzadi, K., Oliveri, P., Schlitzer, R., Fichaut, M., and Schaap, D.: SeaDataCloud temperature and salinity climatologies for the European marginal seas and the Global Ocean, Proceedings of the International Conference on Marine Data and Information Systems (IMDIS), 12–14 April, 2021, Bollettino di Geofisica, Vol. 62 – Supplement, 2021, 321 pp., available at: https://imdis.seadatanet.org/content/download/151922/file/IMDIS2021_proceedings.pdf, last access: 5 January 2021.
Simoncelli, S., Coatanoan, C., Back, O., Sagen, H., Scory, S., Myroshnychenko, V., Schaap, D., Schlitzer, R., Iona, S., and Fichaut, M.: The SeaDataNet data products: regional temperature and salinity historical data collections, EGU 2016 – European Geosciences Union General Assembly 2016, 17–22 April 2016, Austria, available at: https://archimer.ifremer.fr/doc/00326/43753/ (last access: 5 January 2020), 2016.
Sospedra, J., Niencheski, L. F. H., Falco, S., Andrade, C. F. F., Attisano, K. K., and Rodilla, M.: Identifying the main sources of silicate in coastal waters of the Southern Gulf of Valencia (Western Mediterranean Sea),
Oceanologia,
60, 52–64, https://doi.org/10.1016/j.oceano.2017.07.004, 2018.
Stöven, T. and Tanhua, T.: Ventilation of the Mediterranean Sea constrained by multiple transient tracer measurements, Ocean Sci., 10, 439–457, https://doi.org/10.5194/os-10-439-2014, 2014.
Tanhua, T., Hainbucher, D., Schroeder, K., Cardin, V., Álvarez, M., and Civitarese, G.: The Mediterranean Sea system: a review and an introduction to the special issue, Ocean Sci., 9, 789–803, https://doi.org/10.5194/os-9-789-2013, 2013.
Teruzzi, A., Bolzon, G., Cossarini, G., Lazzari, P., Salon, S., Crise, A., and Solidoro, C.: Mediterranean Sea Biogeochemical Reanalysis (CMEMS MED-Biogeochemistry), Copernicus Monitoring Environment Marine Service (CMEMS) [data set], https://doi.org/10.25423/MEDSEA_REANALYSIS_BIO_006_008, 2019.
Testor, P., Le Goff, H., Labaste, M., Coppola, L., Mortier, L., Taillandier, V., Dausse, D., Kunesch, S., Diamond-Riquier, E., Garcia, N., Durrieu de Madron, X., Raimbault, P.:
MOOSE-GE, French Oceanographic Cruises [data set], https://doi.org/10.18142/235,, 2010.
Testor, P., Coppola, L., and Mortier, L.: MOOSE-GE 2011 cruise, RV Téthys II, https://doi.org/10.17600/11450160, 2011.
Testor, P., Coppola, L., and Mortier, L.: MOOSE-GE 2012 cruise, RV Le Suroît, https://doi.org/10.17600/12020030, 2012.
Testor, P., Coppola, L., and Mortier, L.: MOOSE-GE 2013 cruise, RV Téthys II, https://doi.org/10.17600/13450110, 2013.
Testor, P., Coppola, L., and Mortier, L.: MOOSE-GE 2014 cruise, RV Le Suroît, https://doi.org/10.17600/14002300, 2014.
Testor, P., Coppola, L., and Mortier, L.: MOOSE-GE 2015 cruise, RV Le Suroît, https://doi.org/10.17600/15002500, 2015.
Testor, P., Bosse, A., Houpert, L., Margirier, F., Mortier, L., Legoff, H., Dausse, D., Labaste, M., Karstensen, J., Hayes, D., Olita, A., Ribotti, A., Schroeder, K., Chiggiato, J., Onken, R., Heslop, E., Mourre, B., D'ortenzio, F., Mayot, N., Lavigne, H., de Fommervault, O., Coppola, L., Prieur, L., Taillandier, V., Durrieu de Madron, X., Bourrin, F., Many, G., Damien, P., Estournel, C., Marsaleix, P., Taupier-Letage, I., Raimbault, P., Waldman, R., Bouin, M. N., Giordani, H., Caniaux, G., Somot, S., Ducrocq, V., and Conan, P.:
Multiscale Observations of Deep Convection in the Northwestern Mediterranean Sea During Winter 2012–2013 Using Multiple Platforms,
J. Geophys. Res.-Oceans,
123, 1745–1776, https://doi.org/10.1002/2016JC012671, 2018.
Theocharis, A., Lascaratos, A., and Sofianos, S.: Variability of sea water properties in the Ionian , Cretan and Levantine seas during the last century, In Tracking Long-Term Hydrological Change in the Mediterranean Sea, CIESM Workshop Series, 16, 71–78, 2002.
Troupin, C., MacHín, F., Ouberdous, M., Sirjacobs, D., Barth, A., and Beckers, J. M.:
High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva),
J. Geophys. Res.-Oceans,
115, 1–20, https://doi.org/10.1029/2009JC005512, 2010.
Troupin, C., Barth, A., Sirjacobs, D., Ouberdous, M., Brankart, J. M., Brasseur, P., Rixen, M., Alvera-Azcárate, A., Belounis, M., Capet, A., Lenartz, F., Toussaint, M. E., and Beckers, J. M.:
Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis (DIVA),
Ocean Model.,
52–53, 90–101, https://doi.org/10.1016/j.ocemod.2012.05.002, 2012.
Troupin, C., Watelet, S., Ouberdous, M., Sirjacobs, D., Alvera-Azcárate, A., Barth, A., Toussaint, M., and Beckers, J.: Data Interpolating Variational Analysis User Guide, Zenodo [code], https://doi.org/10.5281/zenodo.836723, 2018.
Van Cappellen, P., Powley, H. R., Emeis, K. C., and Krom, M. D.:
A biogeochemical model for phosphorus and nitrogen cycling in the Eastern Mediterranean Sea: Part 1: Model development, initialization and sensitivity,
J. Marine Syst.,
139, 460–471, https://doi.org/10.1016/j.jmarsys.2014.08.016, 2014.
Vargas-yáñez, M.:
Updating temperature and salinity mean values and trends in the Western Mediterranean: The RADMED project Progress in Oceanography Updating temperature and salinity mean values and trends in the Western Mediterranean: The RADMED project,
Prog. Oceanogr.,
157, 27–46, https://doi.org/10.1016/j.pocean.2017.09.004, 2017.
Weatherall, P., Marks, K. M., Jakobsson, M., Schmitt, T., Tani, S., Arndt, J. E., Rovere, M., Chayes, D., Ferrini, V., and Wigley, R.:
A new digital bathymetric model of the world's oceans,
Earth and Space Science,
2, 331–345, https://doi.org/10.1002/2015EA000107, 2015.
Williams, R. G. and Follows, M. J.: Physical Transport of Nutrients and the Maintenance of Biological Production, in: Ocean Biogeochemistry. Global Change – The IGBP Series (closed), edited by: Fasham, M. J. R., Springer, Berlin, Heidelberg, 19–51, https://doi.org/10.1007/978-3-642-55844-3_3, 2003.
Short summary
The Mediterranean Sea exhibits an anti-estuarine circulation, responsible for its low productivity. Understanding this peculiar character is still a challenge since there is no exact quantification of nutrient sinks and sources. Because nutrient in situ observations are generally infrequent and scattered in space and time, climatological mapping is often applied to sparse data in order to understand the biogeochemical state of the ocean. The dataset presented here partly addresses these issues.
The Mediterranean Sea exhibits an anti-estuarine circulation, responsible for its low...
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