Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1711-2020
© Author(s) 2020. 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-12-1711-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
03 Aug 2020
Data description paper |
| 03 Aug 2020
| 03 Aug 2020
A multi-year time series of observation-based 3D horizontal and vertical quasi-geostrophic global ocean currents
Bruno Buongiorno Nardelli
CORRESPONDING AUTHOR
Consiglio Nazionale delle Ricerche – Istituto di Scienze Marine,
Naples, 80133, Italy
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Daniele Ciani, Claudia Fanelli, and Bruno Buongiorno Nardelli
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Ocean surface currents are routinely derived from satellite observations of the sea level, allowing a regional to global scale synoptic monitoring. In order to overcome the theoretical and instrumental limits of this methodology, we exploit the synergy of multisensor satellite observations. We rely on deep learning, physics informed algorithms to predict ocean currents from sea surface height and sea surface temperature observations. Results are validated by means of in-situ measurements
Sarah Asdar, Daniele Ciani, and Bruno Buongiorno Nardelli
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Estimating 3D currents is crucial for the understanding of ocean dynamics, and a precise knowledge of ocean circulation is essential to ensure a sustainable ocean. In this context, a new high-resolution (1 / 10°) data-driven dataset of 3D ocean currents has been developed within the European Space Agency World Ocean Circulation project, providing 10 years (2010–2019) of horizontal and vertical quasi-geostrophic currents at daily resolution over the North Atlantic Ocean, down to 1500 m depth.
Claudia Fanelli, Daniele Ciani, Andrea Pisano, and Bruno Buongiorno Nardelli
EGUsphere, https://doi.org/10.5194/egusphere-2024-455, https://doi.org/10.5194/egusphere-2024-455, 2024
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Sea surface temperature (SST) is an essential variable in understanding Earth's climate system and its accurate monitoring from space is essential. Since satellite measurements are hindered by cloudy/rainy conditions, data gaps are present even in merged multi-sensor products. To address this, since Optimal Interpolation techniques tend to smooth out small-scale features, we developed a deep learning model to enhance the effective resolution of gap-free SST images over the Mediterranean Sea.
Andrea Pisano, Daniele Ciani, Salvatore Marullo, Rosalia Santoleri, and Bruno Buongiorno Nardelli
Earth Syst. Sci. Data, 14, 4111–4128, https://doi.org/10.5194/essd-14-4111-2022, https://doi.org/10.5194/essd-14-4111-2022, 2022
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A new operational diurnal sea surface temperature (SST) product has been developed within the Copernicus Marine Service, providing gap-free hourly mean SST fields from January 2019 to the present. This product is able to accurately reproduce the diurnal cycle, the typical day–night SST oscillation mainly driven by solar heating, including extreme diurnal warming events. This product can thus represent a valuable dataset to improve the study of those processes that require a subdaily frequency.
Daniele Ciani, Claudia Fanelli, and Bruno Buongiorno Nardelli
EGUsphere, https://doi.org/10.5194/egusphere-2024-1164, https://doi.org/10.5194/egusphere-2024-1164, 2024
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Ocean surface currents are routinely derived from satellite observations of the sea level, allowing a regional to global scale synoptic monitoring. In order to overcome the theoretical and instrumental limits of this methodology, we exploit the synergy of multisensor satellite observations. We rely on deep learning, physics informed algorithms to predict ocean currents from sea surface height and sea surface temperature observations. Results are validated by means of in-situ measurements
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Estimating 3D currents is crucial for the understanding of ocean dynamics, and a precise knowledge of ocean circulation is essential to ensure a sustainable ocean. In this context, a new high-resolution (1 / 10°) data-driven dataset of 3D ocean currents has been developed within the European Space Agency World Ocean Circulation project, providing 10 years (2010–2019) of horizontal and vertical quasi-geostrophic currents at daily resolution over the North Atlantic Ocean, down to 1500 m depth.
Claudia Fanelli, Daniele Ciani, Andrea Pisano, and Bruno Buongiorno Nardelli
EGUsphere, https://doi.org/10.5194/egusphere-2024-455, https://doi.org/10.5194/egusphere-2024-455, 2024
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Sea surface temperature (SST) is an essential variable in understanding Earth's climate system and its accurate monitoring from space is essential. Since satellite measurements are hindered by cloudy/rainy conditions, data gaps are present even in merged multi-sensor products. To address this, since Optimal Interpolation techniques tend to smooth out small-scale features, we developed a deep learning model to enhance the effective resolution of gap-free SST images over the Mediterranean Sea.
Andrea Pisano, Daniele Ciani, Salvatore Marullo, Rosalia Santoleri, and Bruno Buongiorno Nardelli
Earth Syst. Sci. Data, 14, 4111–4128, https://doi.org/10.5194/essd-14-4111-2022, https://doi.org/10.5194/essd-14-4111-2022, 2022
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A new operational diurnal sea surface temperature (SST) product has been developed within the Copernicus Marine Service, providing gap-free hourly mean SST fields from January 2019 to the present. This product is able to accurately reproduce the diurnal cycle, the typical day–night SST oscillation mainly driven by solar heating, including extreme diurnal warming events. This product can thus represent a valuable dataset to improve the study of those processes that require a subdaily frequency.
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During 2018–2022, four pearl farming Tuamotu atolls (French Polynesia) were studied with oceanographic instruments to measure lagoon hydrodynamics and ocean-lagoon water exchanges. The goal was to gain knowledge on the processes influencing the spat collection of the pearl oyster Pinctada margaritifera, the species used to produce black pearls. A worldwide unique oceanographic atoll data set is provided to address local pearl farming questions and other fundamental and applied investigations.
Jisun Shin, Dae-Won Kim, So-Hyun Kim, Gi Seop Lee, Boo-Keun Kim, and Young-Heon Jo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-421, https://doi.org/10.5194/essd-2023-421, 2023
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We overcame the limitations of satellite and reanalysis sea surface salinity (SSS) datasets and succeeded in producing a gap-free gridded SSS product with reasonable accuracy and a spatial resolution of 1 km using a machine learning model. Our study facilitates the identification of the distribution and movement patterns of Changjiang diluted water front in the East China Sea on a daily basis during summer, thereby further advancing our understanding and monitoring of long-term SSS variations.
Panagiotis Athanasiou, Ap van Dongeren, Maarten Pronk, Alessio Giardino, Michalis Vousdoukas, and Roshanka Ranasinghe
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-313, https://doi.org/10.5194/essd-2023-313, 2023
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The shape of the coast, the intensity of waves, the height of the water levels, the presence of people or critical infrastructure and the land use are important information to assess the vulnerability of the coast to coastal hazards. Here we provide 80 indicators of this kind, at consistent locations along the global ice-free coastline using open-access global datasets. These can be valuable for quick assessments of the vulnerability of the coast and at data-poor locations.
Edwin Rainville, Jim Thomson, Melissa Moulton, and Morteza Derakhti
Earth Syst. Sci. Data, 15, 5135–5151, https://doi.org/10.5194/essd-15-5135-2023, https://doi.org/10.5194/essd-15-5135-2023, 2023
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Measuring ocean waves nearshore is essential for understanding how the waves impact our coastlines. We designed and deployed many small wave buoys in the nearshore ocean over 27 d in Duck, North Carolina, USA, in 2021. The wave buoys measure their motion as they drift. In this paper, we describe multiple levels of data processing. We explain how this dataset can be used in future studies to investigate nearshore wave kinematics, transport of buoyant particles, and wave-breaking processes.
Alberto Ribotti, Antonio Bussani, Milena Menna, Andrea Satta, Roberto Sorgente, Andrea Cucco, and Riccardo Gerin
Earth Syst. Sci. Data, 15, 4651–4659, https://doi.org/10.5194/essd-15-4651-2023, https://doi.org/10.5194/essd-15-4651-2023, 2023
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Over 100 experiments were realized between 1998 and 2022 in the Mediterranean Sea using surface coastal and offshore Lagrangian drifters. Raw data were initially unified and pre-processed. Then, the integrity of the received data packages was checked and incomplete ones were discarded. Deployment information was retrieved and integrated into the PostgreSQL database. Data were interpolated at defined time intervals, providing a dataset of 158 trajectories, available in different formats.
Ole Baltazar Andersen, Stine Kildegaard Rose, Adili Abulaitijiang, Shengjun Zhang, and Sara Fleury
Earth Syst. Sci. Data, 15, 4065–4075, https://doi.org/10.5194/essd-15-4065-2023, https://doi.org/10.5194/essd-15-4065-2023, 2023
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The mean sea surface (MSS) is an important reference for mapping sea-level changes across the global oceans. It is widely used by space agencies in the definition of sea-level anomalies as mapped by satellite altimetry from space. Here a new fully global high-resolution mean sea surface called DTU21MSS is presented, and a suite of evaluations are performed to demonstrate its performance.
Robert W. Schlegel and Jean-Pierre Gattuso
Earth Syst. Sci. Data, 15, 3733–3746, https://doi.org/10.5194/essd-15-3733-2023, https://doi.org/10.5194/essd-15-3733-2023, 2023
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A single dataset was created for investigations of changes in the socio-ecological systems within seven Arctic fjords by amalgamating roughly 1400 datasets from a number of sources. The many variables in these data were organised into five distinct categories and classified into 14 key drivers. Data for seawater temperature and salinity are available from the late 19th century, with some other drivers having data available from the 1950s and 1960s and the others starting from the 1990s onward.
Pierluigi Penna, Filippo Domenichetti, Andrea Belardinelli, and Michela Martinelli
Earth Syst. Sci. Data, 15, 3513–3527, https://doi.org/10.5194/essd-15-3513-2023, https://doi.org/10.5194/essd-15-3513-2023, 2023
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This work presents the pressure (depth) and temperature profile dataset provided by the AdriFOOS infrastructure in the Adriatic Sea (Mediterranean basin) from 2012 to 2020. Data were subject to quality assurance (QA) and quality control (QC). This infrastructure, based on the ships of opportunity principle and involving the use of commercial fishing vessels, is able to produce huge amounts of useful data both for operational oceanography and fishery biology purposes.
Carmen Zarzuelo, Alejandro López-Ruiz, María Bermúdez, and Miguel Ortega-Sánchez
Earth Syst. Sci. Data, 15, 3095–3110, https://doi.org/10.5194/essd-15-3095-2023, https://doi.org/10.5194/essd-15-3095-2023, 2023
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This paper presents a hydrodynamic dataset for the Bay of Cádiz in southern Spain, a paradigmatic example of a tidal bay of complex geometry under high anthropogenic pressure. The dataset brings together measured and modeled data on water levels, currents, density, and waves for the period 2012–2015. It allows the characterization of the bay dynamics from intratidal to seasonal scales. Potential applications include the study of ocean–bay interactions, wave propagation, or energy assessments.
Zuzanna M. Swirad, Mateusz Moskalik, and Agnieszka Herman
Earth Syst. Sci. Data, 15, 2623–2633, https://doi.org/10.5194/essd-15-2623-2023, https://doi.org/10.5194/essd-15-2623-2023, 2023
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Monitoring ocean waves is important for understanding wave climate and seasonal to longer-term (years to decades) changes. In the Arctic, there is limited freely available observational wave information. We placed sensors at the sea bottom of six bays in Hornsund fjord, Svalbard, and calculated wave energy, wave height and wave period for full hours between July 2013 and February 2021. In this paper, we present the procedure of deriving wave properties from raw pressure measurements.
Tiziana Ciuffardi, Zoi Kokkini, Maristella Berta, Marina Locritani, Andrea Bordone, Ivana Delbono, Mireno Borghini, Maurizio Demarte, Roberta Ivaldi, Federica Pannacciulli, Anna Vetrano, Davide Marini, and Giovanni Caprino
Earth Syst. Sci. Data, 15, 1933–1946, https://doi.org/10.5194/essd-15-1933-2023, https://doi.org/10.5194/essd-15-1933-2023, 2023
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This paper presents the results of the first 2 years of the Levante Canyon Mooring, a mooring line placed since 2020 in the eastern Ligurian Sea, to study a canyon area at about 600 m depth characterized by the presence of cold-water living corals. It provides hydrodynamic and thermohaline measurements along the water column, describing a water-mass distribution coherent with previous evidence in the Ligurian Sea. The data also show a Northern Current episodic and local reversal during summer.
Pierre L'Hégaret, Florian Schütte, Sabrina Speich, Gilles Reverdin, Dariusz B. Baranowski, Rena Czeschel, Tim Fischer, Gregory R. Foltz, Karen J. Heywood, Gerd Krahmann, Rémi Laxenaire, Caroline Le Bihan, Philippe Le Bot, Stéphane Leizour, Callum Rollo, Michael Schlundt, Elizabeth Siddle, Corentin Subirade, Dongxiao Zhang, and Johannes Karstensen
Earth Syst. Sci. Data, 15, 1801–1830, https://doi.org/10.5194/essd-15-1801-2023, https://doi.org/10.5194/essd-15-1801-2023, 2023
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In early 2020, the EUREC4A-OA/ATOMIC experiment took place in the northwestern Tropical Atlantic Ocean, a dynamical region where different water masses interact. Four oceanographic vessels and a fleet of autonomous devices were deployed to study the processes at play and sample the upper ocean, each with its own observing capability. The article first describes the data calibration and validation and second their cross-validation, using a hierarchy of instruments and estimating the uncertainty.
Tongya Liu and Ryan Abernathey
Earth Syst. Sci. Data, 15, 1765–1778, https://doi.org/10.5194/essd-15-1765-2023, https://doi.org/10.5194/essd-15-1765-2023, 2023
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Nearly all existing datasets of mesoscale eddies are based on the Eulerian method because of its operational simplicity. Using satellite observations and a Lagrangian method, we present a global Lagrangian eddy dataset (GLED v1.0). We conduct the statistical comparison between two types of eddies and the dataset validation. Our dataset offers relief from dilemma that the Eulerian eddy dataset is nearly the only option for studying mesoscale eddies.
Fabio Raicich
Earth Syst. Sci. Data, 15, 1749–1763, https://doi.org/10.5194/essd-15-1749-2023, https://doi.org/10.5194/essd-15-1749-2023, 2023
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In the changing climate, long sea level time series are essential for studying the variability of the mean sea level and the occurrence of extreme events on different timescales. This work summarizes the rescue and quality control of the ultra-centennial sea level data set of Trieste, Italy. The whole time series is characterized by a linear trend of about 1.4 mm yr−1, the period corresponding to the altimetry coverage by a trend of about 3.0 mm yr−1, similarly to the global ocean.
Giulia Bonino, Simona Masina, Giuliano Galimberti, and Matteo Moretti
Earth Syst. Sci. Data, 15, 1269–1285, https://doi.org/10.5194/essd-15-1269-2023, https://doi.org/10.5194/essd-15-1269-2023, 2023
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We present a unique observational dataset of marine heat wave (MHW) macroevents and their characteristics over southern Europe and western Asian (SEWA) basins in the SEWA-MHW dataset. This dataset is the first effort in the literature to archive extremely hot sea surface temperature macroevents. The advantages of the availability of SEWA-MHWs are avoiding the waste of computational resources to detect MHWs and building a consistent framework which would increase comparability among MHW studies.
Johannes J. Rick, Mirco Scharfe, Tatyana Romanova, Justus E. E. van Beusekom, Ragnhild Asmus, Harald Asmus, Finn Mielck, Anja Kamp, Rainer Sieger, and Karen H. Wiltshire
Earth Syst. Sci. Data, 15, 1037–1057, https://doi.org/10.5194/essd-15-1037-2023, https://doi.org/10.5194/essd-15-1037-2023, 2023
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The Sylt Roads (Wadden Sea) time series is illustrated. Since 1984, the water temperature has risen by 1.1 °C, while pH and salinity decreased by 0.2 and 0.3 units. Nutrients (P, N) displayed a period of high eutrophication until 1998 and have decreased since 1999, while Si showed a parallel increase. Chlorophyll did not mirror these changes, probably due to a switch in nutrient limitation. Until 1998, algae were primarily limited by Si, and since 1999, P limitation has become more important.
Maria Osińska, Kornelia A. Wójcik-Długoborska, and Robert J. Bialik
Earth Syst. Sci. Data, 15, 607–616, https://doi.org/10.5194/essd-15-607-2023, https://doi.org/10.5194/essd-15-607-2023, 2023
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Water properties, including temperature, conductivity, turbidity and pH as well as the dissolved oxygen, dissolved organic matter, chlorophyll-a and phycoerythrin contents, were investigated in 31 different locations at up to 100 m depth over a period of 38 months in a glacial bay in Antarctica. These investigations were carried out 142 times in all seasons of the year, resulting in a unique dataset of information about seasonal and long-term changes in polar water properties.
Annie P. S. Wong, John Gilson, and Cécile Cabanes
Earth Syst. Sci. Data, 15, 383–393, https://doi.org/10.5194/essd-15-383-2023, https://doi.org/10.5194/essd-15-383-2023, 2023
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This article describes the instrument bias in the raw Argo salinity data from 2000 to 2021. The main cause of this bias is sensor drift. Using Argo data without filtering out this instrument bias has been shown to lead to spurious results in various scientific applications. We describe the Argo delayed-mode process that evaluates and adjusts such instrument bias, and we estimate the uncertainty of the Argo delayed-mode salinity dataset. The best ways to use Argo data are illustrated.
Maxime Ballarotta, Clément Ubelmann, Pierre Veillard, Pierre Prandi, Hélène Etienne, Sandrine Mulet, Yannice Faugère, Gérald Dibarboure, Rosemary Morrow, and Nicolas Picot
Earth Syst. Sci. Data, 15, 295–315, https://doi.org/10.5194/essd-15-295-2023, https://doi.org/10.5194/essd-15-295-2023, 2023
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We present a new gridded sea surface height and current dataset produced by combining observations from nadir altimeters and drifting buoys. This product is based on a multiscale and multivariate mapping approach that offers the possibility to improve the physical content of gridded products by combining the data from various platforms and resolving a broader spectrum of ocean surface dynamic than in the current operational mapping system. A quality assessment of this new product is presented.
Francesca Doglioni, Robert Ricker, Benjamin Rabe, Alexander Barth, Charles Troupin, and Torsten Kanzow
Earth Syst. Sci. Data, 15, 225–263, https://doi.org/10.5194/essd-15-225-2023, https://doi.org/10.5194/essd-15-225-2023, 2023
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This paper presents a new satellite-derived gridded dataset, including 10 years of sea surface height and geostrophic velocity at monthly resolution, over the Arctic ice-covered and ice-free regions, up to 88° N. We assess the dataset by comparison to independent satellite and mooring data. Results correlate well with independent satellite data at monthly timescales, and the geostrophic velocity fields can resolve seasonal to interannual variability of boundary currents wider than about 50 km.
Jiajia Yuan, Jinyun Guo, Chengcheng Zhu, Zhen Li, Xin Liu, and Jinyao Gao
Earth Syst. Sci. Data, 15, 155–169, https://doi.org/10.5194/essd-15-155-2023, https://doi.org/10.5194/essd-15-155-2023, 2023
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The mean sea surface (MSS) is a relative steady-state sea level within a finite period with important applications in geodesy, oceanography, and other disciplines. In this study, the Shandong University of Science and Technology 2020 (SDUST2020), a new global MSS model, was established with a 19-year moving average method from multi-satellite altimetry data. Its global coverage is from 80 °S to 84 °N, the grid size is 1'×1', and the reference period is from January 1993 to December 2019.
Dirk S. van Maren, Christian Maushake, Jan-Willem Mol, Daan van Keulen, Jens Jürges, Julia Vroom, Henk Schuttelaars, Theo Gerkema, Kirstin Schulz, Thomas H. Badewien, Michaela Gerriets, Andreas Engels, Andreas Wurpts, Dennis Oberrecht, Andrew J. Manning, Taylor Bailey, Lauren Ross, Volker Mohrholz, Dante M. L. Horemans, Marius Becker, Dirk Post, Charlotte Schmidt, and Petra J. T. Dankers
Earth Syst. Sci. Data, 15, 53–73, https://doi.org/10.5194/essd-15-53-2023, https://doi.org/10.5194/essd-15-53-2023, 2023
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This paper reports on the main findings of a large measurement campaign aiming to better understand how an exposed estuary (the Ems Estuary on the Dutch–German border) interacts with a tidal river (the lower Ems River). Eight simultaneously deployed ships measuring a tidal cycle and 10 moorings collecting data throughout a spring–neap tidal cycle have produced a dataset providing valuable insight into processes determining exchange of water and sediment between the two systems.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, https://doi.org/10.5194/essd-14-5737-2022, 2022
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A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Francesco Paladini de Mendoza, Katrin Schroeder, Leonardo Langone, Jacopo Chiggiato, Mireno Borghini, Patrizia Giordano, Giulio Verazzo, and Stefano Miserocchi
Earth Syst. Sci. Data, 14, 5617–5635, https://doi.org/10.5194/essd-14-5617-2022, https://doi.org/10.5194/essd-14-5617-2022, 2022
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This work presents the dataset of continuous monitoring in the southern Adriatic Margin, providing a unique observatory of deep-water dynamics. The study area is influenced by episodic dense-water cascading, which is a fundamental process for water renewal and deep-water dynamics. Information about the frequency and intensity variations of these events is observed along a time series. The monitoring activities are still ongoing and the moorings are part of the EMSO-ERIC network.
Oriane Bruyère, Benoit Soulard, Hugues Lemonnier, Thierry Laugier, Morgane Hubert, Sébastien Petton, Térence Desclaux, Simon Van Wynsberge, Eric Le Tesson, Jérôme Lefèvre, Franck Dumas, Jean-François Kayara, Emmanuel Bourassin, Noémie Lalau, Florence Antypas, and Romain Le Gendre
Earth Syst. Sci. Data, 14, 5439–5462, https://doi.org/10.5194/essd-14-5439-2022, https://doi.org/10.5194/essd-14-5439-2022, 2022
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From 2014 to 2021, extensive monitoring of hydrodynamics was deployed within five contrasted lagoons of New Caledonia during austral summers. These coastal physical observations encompassed unmonitored lagoons and captured eight major atmospheric events ranging from tropical depression to category 4 cyclone. The main objectives were to characterize the processes controlling hydrodynamics of these lagoons and record the signature of extreme events on land–lagoon–ocean continuum functioning.
Tian Tian, Lijing Cheng, Gongjie Wang, John Abraham, Wangxu Wei, Shihe Ren, Jiang Zhu, Junqiang Song, and Hongze Leng
Earth Syst. Sci. Data, 14, 5037–5060, https://doi.org/10.5194/essd-14-5037-2022, https://doi.org/10.5194/essd-14-5037-2022, 2022
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A high-resolution gridded dataset is crucial for understanding ocean processes at various spatiotemporal scales. Here we used a machine learning approach and successfully reconstructed a high-resolution (0.25° × 0.25°) ocean subsurface (1–2000 m) salinity dataset for the period 1993–2018 (monthly) by merging in situ salinity profile observations with high-resolution satellite remote-sensing data. This new product could be useful in various applications in ocean and climate fields.
Héloïse Lavigne, Ana Dogliotti, David Doxaran, Fang Shen, Alexandre Castagna, Matthew Beck, Quinten Vanhellemont, Xuerong Sun, Juan Ignacio Gossn, Pannimpullath Remanan Renosh, Koen Sabbe, Dieter Vansteenwegen, and Kevin Ruddick
Earth Syst. Sci. Data, 14, 4935–4947, https://doi.org/10.5194/essd-14-4935-2022, https://doi.org/10.5194/essd-14-4935-2022, 2022
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Because of the large diversity of case 2 waters and the complexity of light transfer, retrieving main biogeochemical parameters in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from low to extreme values, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms.
Mario Hoppmann, Ivan Kuznetsov, Ying-Chih Fang, and Benjamin Rabe
Earth Syst. Sci. Data, 14, 4901–4921, https://doi.org/10.5194/essd-14-4901-2022, https://doi.org/10.5194/essd-14-4901-2022, 2022
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The role of eddies and fronts in the oceans is a hot topic in climate research, but there are still many related knowledge gaps, particularly in the ice-covered Arctic Ocean. Here we present a unique dataset of ocean observations collected by a set of drifting buoys installed on ice floes as part of the 2019/2020 MOSAiC campaign. The buoys recorded temperature and salinity data for 10 months, providing extraordinary insights into the properties and processes of the ocean along their drift.
Chengcheng Zhu, Jinyun Guo, Jiajia Yuan, Zhen Li, Xin Liu, and Jinyao Gao
Earth Syst. Sci. Data, 14, 4589–4606, https://doi.org/10.5194/essd-14-4589-2022, https://doi.org/10.5194/essd-14-4589-2022, 2022
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Accurate marine gravity anomalies play an important role in the fields of submarine topography, Earth structure, and submarine exploitation. With the launch of different altimetry satellites, the density of altimeter data can meet the requirements of inversion of high-resolution and high-precision gravity anomaly models. We construct the global marine gravity anomaly model (SDUST2021GRA) from altimeter data (including HY-2A). The accuracy of the model is high, especially in the offshore area.
Cited articles
Adcroft, A., Hill, C., Campin, J.-M., Marshall, J., and Heimbach, P.: Overview of the formulation and numerics of the MITgcm, in Proceedings of the ECMWF seminar series on Numerical Methods, Recent developments in numerical methods for atmosphere and ocean modelling, ECMWF, 139–149, 2004.
AVISO+: SSALTO/DUACS User Handbook, CLS-DOS-NT-06-034, Issue 4.4,
SALP-MU-P-EA-21065-CLS, 2015.
Baker, A. H., Jessup, E. R., and Manteuffel, T.: A technique for accelerating
the convergence of restarted gmres, SIAM J. Matrix Anal. Appl., 26,
962–984, https://doi.org/10.1137/S0895479803422014, 2005.
Balmaseda, M. A., Hernandez, F., Storto, a., Palmer, M. D., Alves, O., Shi,
L., Smith, G. C., Toyoda, T., Valdivieso, M., Barnier, B., Behringer, D.,
Boyer, T., Chang, Y.-S., Chepurin, G. a., Ferry, N., Forget, G., Fujii, Y.,
Good, S., Guinehut, S., Haines, K., Ishikawa, Y., Keeley, S., Köhl, A.,
Lee, T., Martin, M. J., Masina, S., Masuda, S., Meyssignac, B., Mogensen,
K., Parent, L., Peterson, K. a., Tang, Y. M., Yin, Y., Vernieres, G., Wang,
X., Waters, J., Wedd, R., Wang, O., Xue, Y., Chevallier, M., Lemieux, J.-F.,
Dupont, F., Kuragano, T., Kamachi, M., Awaji, T., Caltabiano, A.,
Wilmer-Becker, K., and Gaillard, F.: The Ocean Reanalyses Intercomparison
Project (ORA-IP), J. Oper. Oceanogr., 8, 80–97,
https://doi.org/10.1080/1755876X.2015.1022329, 2015.
Boyer, T. P., Antonov, J. I., Baranova, O. K., Coleman, C., Garcia, H. E.,
Grodsky, A., Johnson, D. R., Locarnini, R. a, Mishonov, A. V, O'Brien, T.
D., Paver, C. R., Reagan, J. R., Seidov, D., Smolyar, I. V, Zweng, M. M.,
Brien, T. D. O., Paver, C. R., Reagan, J. R., Seidov, D., Smolyar, I. V,
Zweng, M. M., and Sullivan, K. D.: WORLD OCEAN DATABASE 2013, NOAA Atlas
NESDIS 72, edited by: Levitus, S., NOAA Atlas, 209 pp., https://doi.org/10.7289/V5NZ85MT, 2013.
Buongiorno Nardelli, B.: CNR global observation-based OMEGA3D quasi-geostrophic vertical and horizontal ocean currents (1993–2018) (Version 1), Data set, Copernicus Monitoring Environment Marine Service (CMEMS), available at: https://doi.org/10.25423/cmcc/multiobs_glo_phy_w_rep_015_007, last access: 23rd July 2020a.
Buongiorno Nardelli, B.: CNR global observation-based OMEGA3D
quasi-geostrophic vertical and horizontal ocean currents (1993–2018):
validation subset (Version V1.0), Data set, Zenodo,
https://doi.org/10.5281/zenodo.3696885, 2020b.
Buongiorno Nardelli, B. and Santoleri, R.: Methods for the Reconstruction of
Vertical Profiles from Surface Data: Multivariate Analyses, Residual GEM,
and Variable Temporal Signals in the North Pacific Ocean, J. Atmos. Ocean.
Tech., 22, 1762–1781, https://doi.org/10.1175/JTECH1792.1, 2005.
Buongiorno Nardelli, B., Sparnocchia, S., and Santoleri, R.: Small mesoscale
features at a meandering upper-ocean front in the Western Ionian Sea
(Mediterranean Sea): Vertical motion and potential vorticity analysis, J.
Phys. Oceanogr., 31, 2227–2250, https://doi.org/10.1175/1520-0485(2001)031<2227:SMFAAM>2.0.CO;2, 2001.
Buongiorno Nardelli, B., Guinehut, S., Pascual, A., Drillet, Y., Ruiz, S., and Mulet, S.: Towards high resolution mapping of 3-D mesoscale dynamics from observations, Ocean Sci., 8, 885–901, https://doi.org/10.5194/os-8-885-2012, 2012.
Buongiorno Nardelli, B., Mulet, S., and Iudicone, D.: Three-Dimensional
Ageostrophic Motion and Water Mass Subduction in the Southern Ocean, J.
Geophys. Res.-Ocean., 123, 1533–1562, https://doi.org/10.1002/2017JC013316, 2018a.
Buongiorno Nardelli, B., Mulet, S., and Iudicone, D.: Three dimensional
ageostrophic motion and water mass subduction in the Southern Ocean, J.
Geophys. Res.-Ocean., 123, 1533–1562, 2018b.
Cabanes, C., Grouazel, A., von Schuckmann, K., Hamon, M., Turpin, V., Coatanoan, C., Paris, F., Guinehut, S., Boone, C., Ferry, N., de Boyer Montégut, C., Carval, T., Reverdin, G., Pouliquen, S., and Le Traon, P.-Y.: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements, Ocean Sci., 9, 1–18, https://doi.org/10.5194/os-9-1-2013, 2013.
Carrassi, A., Bocquet, M., Bertino, L., and Evensen, G.: Data assimilation in
the geosciences: An overview of methods, issues, and perspectives, WIRES Clim. Chang., 9, 1–50, https://doi.org/10.1002/wcc.535, 2018.
Carton, J. A., Chepurin, G. A., and Chen, L.: SODA3: A New Ocean Climate
Reanalysis, J. Clim., 31, 6967–6983, https://doi.org/10.1175/jcli-d-18-0149.1,
2018.
Danabasoglu, G., McWilliams, J. C., and Gent, P. R.: The role of mesoscale
tracer transports in the global ocean circulation, Science,
264, 1123–1126, https://doi.org/10.1126/science.264.5162.1123, 1994.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, I., Biblot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Greer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Kohler, M.,
Matricardi, M., McNally, A. P., Mong-Sanz, B. M., Morcette, J.-J., Park,
B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thepaut, J. N., and Vitart,
F.: The ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Delworth, T. L., Rosati, A., Anderson, W., Adcroft, A. J., Balaji, V.,
Benson, R., Dixon, K., Griffies, S. M., Lee, H. C., Pacanowski, R. C.,
Vecchi, G. A., Wittenberg, A. T., Zeng, F., and Zhang, R.: Simulated climate
and climate change in the GFDL CM2.5 high-resolution coupled climate model,
J. Clim., 25, 2755–2781, https://doi.org/10.1175/JCLI-D-11-00316.1, 2012.
Drévillon, M., Régnier, C., Lellouche, J.-M., Garric, G., Bricaud,
C., and Hernandez, O.: CMEMS Quality Information Document for Global Ocean
Reanalysis Products, GLOBAL-REANALYSIS-PHY-001-030, CMEMS-GLO-QUID-001-030,
2018.
Droghei, R., Buongiorno Nardelli, B., and Santoleri, R.: A New Global Sea
Surface Salinity and Density Dataset From Multivariate Observations
(1993–2016), Front. Mar. Sci., 5, 1–13,
https://doi.org/10.3389/fmars.2018.00084, 2018.
Forget, G., Campin, J.-M., Heimbach, P., Hill, C. N., Ponte, R. M., and Wunsch, C.: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation, Geosci. Model Dev., 8, 3071–3104, https://doi.org/10.5194/gmd-8-3071-2015, 2015.
Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., and Ponte, R.
M.: ECCO Version 4 Release 3, Dspace.Mit.Edu, http://hdl.handle.net/1721.1/110380 (last access: 23 July 2020), 2017.
Fukumori, I., Heimbach, P., Ponte, R. M., and Wunsch, C.: A dynamically
consistent, multivariable ocean climatology, B. Am. Meteorol. Soc.,
99, 2107–2127, https://doi.org/10.1175/BAMS-D-17-0213.1, 2018.
Gent, P. R. and Mcwilliams, J. C.: Isopycnal Mixing in Ocean Circulation
Models, J. Phys. Oceanogr., 20, 150–155,
https://doi.org/10.1175/1520-0485(1990)020<0150:IMIOCM>2.0.CO;2,
1990.
Giordani, H., Prieur, L., and Caniaux, G.: Advanced insights into sources of
vertical velocity in the ocean, Ocean Dynam., 56, 513–524,
https://doi.org/10.1007/s10236-005-0050-1, 2006.
Guinehut, S., Dhomps, A.-L., Larnicol, G., and Le Traon, P.-Y.: High resolution 3-D temperature and salinity fields derived from in situ and satellite observations, Ocean Sci., 8, 845–857, https://doi.org/10.5194/os-8-845-2012, 2012.
Kalnay de Rivas, E.: On the use of nonuniform grids in finite-difference
equations, J. Comput. Phys., 10, 202–210, 1972.
Lebedev, K. V, Yoshinari, H., Maximenko, N. A., and Hacker, P. W.: Velocity
data assessed from trajectories of Argo floats at parking level and at the
sea surface, IPRC Tech. Note, 4, 20 pp., 2007.
Liang, X., Spall, M., and Wunsch, C.: Global Ocean Vertical Velocity From a
Dynamically Consistent Ocean State Estimate, J. Geophys. Res. Ocean., 122, 8208–8224,
https://doi.org/10.1002/2017JC012985, 2017.
Lopez-Radcenco, M., Pascual, A., Gomez-Navarro, L., Aissa-El-Bey, A., and
Fablet, R.: Analog data assimilation for along-track nadiR and SWOT
altimetry data in the western Mediterranean Sea, Int. Geosci. Remote Sens.
Symp., Valencia, Spain, 22–27 July 2018, 7684–7687, https://doi.org/10.1109/IGARSS.2018.8519089, 2018.
Lumpkin, R., Grodsky, S. A., Centurioni, L., Rio, M. H., Carton, J. A., and
Lee, D.: Removing spurious low-frequency variability in drifter velocities,
J. Atmos. Ocean. Tech., 30, 353–360, https://doi.org/10.1175/JTECH-D-12-00139.1,
2013.
Lumpkin, R., Özgökmen, T., and Centurioni, L.: Advances in the
Application of Surface Drifters, Ann. Rev. Mar. Sci., 9, 59–81,
https://doi.org/10.1146/annurev-marine-010816-060641, 2017.
Madec, G. and the NEMO team: NEMO ocean engine, Zenodo, https://doi.org/10.5281/zenodo.3248739, 2016.
Moore, A. M., Martin, M. J., Akella, S., Arango, H. G., Balmaseda, M.,
Bertino, L., Ciavatta, S., Cornuelle, B., Cummings, J., Frolov, S.,
Lermusiaux, P., Oddo, P., Oke, P. R., Storto, A., Teruzzi, A., Vidard, A.,
and Weaver, A. T.: Synthesis of Ocean Observations Using Data Assimilation
for Operational, Real-Time and Reanalysis Systems: A More Complete Picture
of the State of the Ocean, Front. Mar. Sci., 6, 1–6,
https://doi.org/10.3389/fmars.2019.00090, 2019.
Mulet, S., Rio, M.-H., Mignot, A., Guinehut, S., and Morrow, R.: A new
estimate of the global 3D geostrophic ocean circulation based on satellite
data and in-situ measurements, Deep-Sea Res. Pt. II,
77–80, 70–81, https://doi.org/10.1016/j.dsr2.2012.04.012, 2012.
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and
Schlax, M. G.: Daily High-Resolution-Blended Analyses for Sea Surface
Temperature, J. Clim., 20, 5473–5496, https://doi.org/10.1175/2007JCLI1824.1, 2007.
Rio, M.-H., Santoleri, R., and Bourdalle-Badie, R.: Improving the
Altimeter-Derived Surface Currents Using High-Resolution Sea Surface
Temperature Data?: A Feasability Study Based on Model Outputs, J. Atmos. Ocean. Tech., 33 , 2769–2784,
https://doi.org/10.1175/JTECH-D-16-0017.1, 2016.
Smyth, W. D., Skyllingstad, E. D., Crawford, G. B., and Wijesekera, H.:
Nonlocal fluxes and Stokes drift effects in the K-profile parameterization,
Ocean Dyn., 52, 104–115, https://doi.org/10.1007/s10236-002-0012-9, 2002.
Stammer, D., Balmaseda, M., Heimbach, P., Köhl, A., and Weaver, A.: Ocean
Data Assimilation in Support of Climate Applications: Status and
Perspectives, Ann. Rev. Mar. Sci., 8, 491–518,
https://doi.org/10.1146/annurev-marine-122414-034113, 2016.
Sundqvist, H. and Veronis, G.: A simple finite-difference grid with non-constant intervals, Tellus, 22, 26–31, https://doi.org/10.3402/tellusa.v22i1.10155, 1970.
Ubelmann, C., Klein, P., and Fu, L.-L.: Dynamic Interpolation of Sea Surface
Height and Potential Applications for Future High-Resolution Altimetry
Mapping, J. Atmos. Ocean. Tech., 32, 177–184,
https://doi.org/10.1175/JTECH-D-14-00152.1, 2015.
Ubelmann, C., Cornuelle, B. D., and Fu, L.-L.: Dynamic Mapping of Along-Track
Ocean Altimetry?: Method and Performance from Observing System Simulation
Experiments, J. Atmos. Ocean. Tech., 33, 1691–1699, https://doi.org/10.1175/JTECH-D-15-0163.1, 2016.
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T.,
Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van
der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson,
A. R. J., Jones, E., Kern, R., Larson, E., Carey, C., Polat, İ., Feng,
Y., Moore, E. W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R.,
Henriksen, I., Quintero, E. A., Harris, C. R., Archibald, A. M., Ribeiro, A.
H., Pedregosa, F., van Mulbregt, P., and SciPy 1.0 Contributors: SciPy
1.0 – Fundamental Algorithms for Scientific Computing in Python, 1–22,
arXiv:1907.10121, 2019.
Wunsch, C. and Heimbach, P.: Dynamically and kinematically consistent global
ocean circulation and ice state estimates, 2nd edn., Elsevier Ltd., 2013.
Yan, Z., Wu, B., Li, T., Collins, M., Clark, R., Zhou, T., Murphy, J., and
Tan, G.: Eastward shift and extension of ENSO-induced tropical precipitation
anomalies under global warming, Sci. Adv., 6, eaax4177, https://doi.org/10.1126/sciadv.aax4177, 2020.
Short summary
To better understand ocean dynamics and assess their responses and feedbacks to natural and anthropogenic pressures, 3D ocean circulation estimates are needed. Here we present the OMEGA3D product, an observation-based time series (1993–2018) of global 3D ocean currents developed within the European Copernicus Marine Environment Monitoring Service. OMEGA3D provides vertical velocities – an observational barrier due to their small intensity – and full horizontal velocities down to 1500 m depth.
To better understand ocean dynamics and assess their responses and feedbacks to natural and...
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