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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Ocean surface currents are routinely derived from satellite observations of the sea level, allowing regional- to global-scale synoptic monitoring. In order to overcome the theoretical and instrumental limits of this methodology, we exploit the synergy of multi-sensor 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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Ocean surface currents are routinely derived from satellite observations of the sea level, allowing regional- to global-scale synoptic monitoring. In order to overcome the theoretical and instrumental limits of this methodology, we exploit the synergy of multi-sensor 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.
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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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A deep-learning model for gap-filling based on expected variance was developed. OI-SwinUnet achieves good performance reconstructing chlorophyll-a concentration data on the South China Sea. The reconstructed dataset depicts both the spatiotemporal patterns at the seasonal scale and a fast-change process at the weather scale. Reconstructed data show chlorophyll perturbations of individual eddies at different life stages, giving academics a unique and complete perspective on eddy studies.
Robert W. Schlegel, Rakesh Kumar Singh, Bernard Gentili, Simon Bélanger, Laura Castro de la Guardia, Dorte Krause-Jensen, Cale A. Miller, Mikael Sejr, and Jean-Pierre Gattuso
Earth Syst. Sci. Data, 16, 2773–2788, https://doi.org/10.5194/essd-16-2773-2024, https://doi.org/10.5194/essd-16-2773-2024, 2024
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Fjords play a vital role in the Arctic ecosystems and human communities. It is therefore important to have as clear of an understanding of the processes within these systems as possible. While temperature and salinity tend to be well measured, light is usually not. The dataset described in this paper uses remotely sensed data from 2003 to 2022 to address this problem by providing high-spatial-resolution surface, water column, and seafloor light data for several well-studied Arctic fjords.
Nir Haim, Vika Grigorieva, Rotem Soffer, Boaz Mayzel, Timor Katz, Ronen Alkalay, Eli Biton, Ayah Lazar, Hezi Gildor, Ilana Berman-Frank, Yishai Weinstein, Barak Herut, and Yaron Toledo
Earth Syst. Sci. Data, 16, 2659–2668, https://doi.org/10.5194/essd-16-2659-2024, https://doi.org/10.5194/essd-16-2659-2024, 2024
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This paper outlines the process of creating an open-access surface wave dataset, drawing from deep-sea research station observations located 50 km off the coast of Israel. The discussion covers the wave monitoring procedure, from instrument configuration to wave field retrieval, and aspects of quality assurance. The dataset presented spans over 5 years, offering uncommon in situ wave measurements in the deep sea, and addresses the existing gap in wave information within the region.
Paola Emilia Souto-Ceccon, Juan Montes-Perez, Enrico Duo, Paolo Ciavola, Tomas Fernandez Montblanc, and Clara Armaroli
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-183, https://doi.org/10.5194/essd-2024-183, 2024
Revised manuscript accepted for ESSD
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This dataset will support the growing need for information on coastal storm impacts. To our knowledge a specific public access database is not available yet. The database was assembled after an extensive European-scale search of online and published resources and financed by the European Union within the H2020 Programme. Finally, we believe that our approach could be easily exported to all European countries and beyond.
Fengshun Zhu, Jinyun Guo, Huiying Zhang, Lingyong Huang, Heping Sun, and Xin Liu
Earth Syst. Sci. Data, 16, 2281–2296, https://doi.org/10.5194/essd-16-2281-2024, https://doi.org/10.5194/essd-16-2281-2024, 2024
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We used multi-satellite altimeter data to construct a high-resolution marine gravity change rate (MGCR) model on 5′×5′ grids, named SDUST2020MGCR. The spatial distribution of SDUST2020MGCR and GRACE MGCR are similar, such as in the eastern seas of Japan (dipole), western seas of the Nicobar Islands (rising), and southern seas of Greenland (falling). The SDUST2020MGCR can provide a detailed view of long-term marine gravity change, which will help to study the seawater mass migration.
Lisa Deyle, Thomas H. Badewien, Oliver Wurl, and Jens Meyerjürgens
Earth Syst. Sci. Data, 16, 2099–2112, https://doi.org/10.5194/essd-16-2099-2024, https://doi.org/10.5194/essd-16-2099-2024, 2024
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A dataset from the North Sea of 85 surface drifters from 2017–2021 is presented. Surface drifters enable the analysis of ocean currents by determining the velocities of surface currents and tidal effects. The entire North Sea has not been studied using drifters before, but the analysis of ocean currents is essential, e.g., to understand the pathways of plastic. The results show that there are strong tidal effects in the shallow North Sea area and strong surface currents in the deep areas.
Yasser O. Abualnaja, Alexandra Pavlidou, James H. Churchill, Ioannis Hatzianestis, Dimitris Velaoras, Harilaos Kontoyiannis, Vassilis P. Papadopoulos, Aristomenis P. Karageorgis, Georgia Assimakopoulou, Helen Kaberi, Theodoros Kannelopoulos, Constantine Parinos, Christina Zeri, Dionysios Ballas, Elli Pitta, Vassiliki Paraskevopoulou, Afroditi Androni, Styliani Chourdaki, Vassileia Fioraki, Stylianos Iliakis, Georgia Kabouri, Angeliki Konstantinopoulou, Georgios Krokos, Dimitra Papageorgiou, Alkiviadis Papageorgiou, Georgios Pappas, Elvira Plakidi, Eleni Rousselaki, Ioanna Stavrakaki, Eleni Tzempelikou, Panagiota Zachioti, Anthi Yfanti, Theodore Zoulias, Abdulah Al Amoudi, Yasser Alshehri, Ahmad Alharbi, Hammad Al Sulami, Taha Boksmati, Rayan Mutwalli, and Ibrahim Hoteit
Earth Syst. Sci. Data, 16, 1703–1731, https://doi.org/10.5194/essd-16-1703-2024, https://doi.org/10.5194/essd-16-1703-2024, 2024
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We present oceanographic measurements obtained during two surveillance cruises conducted in June and September 2021 in the Red Sea and the Arabian Gulf. It is the first multidisciplinary survey within the Saudi Arabian coastal zone, extending from near the Saudi–Jordanian border in the north of the Red Sea to the south close to the Saudi--Yemen border and in the Arabian Gulf. The objective was to record the pollution status along the coastal zone of the kingdom related to specific pressures.
Alexandra E. Jones-Kellett and Michael J. Follows
Earth Syst. Sci. Data, 16, 1475–1501, https://doi.org/10.5194/essd-16-1475-2024, https://doi.org/10.5194/essd-16-1475-2024, 2024
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Ocean eddies can limit horizontal mixing, potentially isolating phytoplankton populations and affecting their concentration. We used two decades of satellite data and computer simulations to identify and track eddy-trapping boundaries in the Pacific Ocean for application in phytoplankton research. Although some eddies trap water masses for months, many continuously mix with surrounding waters. A case study shows how eddy trapping can enhance the signature of a phytoplankton bloom.
Richard Fiifi Annan, Xiaoyun Wan, Ruijie Hao, and Fei Wang
Earth Syst. Sci. Data, 16, 1167–1176, https://doi.org/10.5194/essd-16-1167-2024, https://doi.org/10.5194/essd-16-1167-2024, 2024
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Gravity gradient tensor, a set of six unique gravity signals, is suitable for detecting undersea features. However, due to poor spatial resolution in past years, it has received less research interest and investment. However, current datasets have better accuracy and resolutions, thereby necessitating a revisit. Our analysis shows comparable results with reference models. We conclude that current-generation altimetry datasets can precisely resolve all six gravity gradients.
Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel
Earth Syst. Sci. Data, 16, 1121–1136, https://doi.org/10.5194/essd-16-1121-2024, https://doi.org/10.5194/essd-16-1121-2024, 2024
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This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Sarah Asdar, Daniele Ciani, and Bruno Buongiorno Nardelli
Earth Syst. Sci. Data, 16, 1029–1046, https://doi.org/10.5194/essd-16-1029-2024, https://doi.org/10.5194/essd-16-1029-2024, 2024
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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.
Xiaoxia Zhang and Heidi Nepf
Earth Syst. Sci. Data, 16, 1047–1062, https://doi.org/10.5194/essd-16-1047-2024, https://doi.org/10.5194/essd-16-1047-2024, 2024
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This study measured the wave-induced plant drag, flow structure, turbulent intensity, and wave energy attenuation in the presence of a salt marsh. We showed that leaves contribute to most of the total plant drag and wave dissipation. Plant resistance significantly reshapes the velocity profile and enhances turbulence intensity. Adding current obviously impact the plants' wave decay capacity. The dataset can be reused to develop and calibrate marsh-flow theoretical and numerical models.
Michael Hemming, Moninya Roughan, and Amandine Schaeffer
Earth Syst. Sci. Data, 16, 887–901, https://doi.org/10.5194/essd-16-887-2024, https://doi.org/10.5194/essd-16-887-2024, 2024
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We present new datasets that are useful for exploring extreme ocean temperature events in Australian coastal waters. These datasets span multiple decades, starting from the 1940s and 1950s, and include observations from the surface to the bottom at four coastal sites. The datasets provide valuable insights into the intensity, frequency and timing of extreme warm and cold temperature events and include event characteristics such as duration, onset and decline rates and their categorisation.
Marlies A. van der Lugt, Jorn W. Bosma, Matthieu A. de Schipper, Timothy D. Price, Marcel C. G. van Maarseveen, Pieter van der Gaag, Gerben Ruessink, Ad J. H. M. Reniers, and Stefan G. J. Aarninkhof
Earth Syst. Sci. Data, 16, 903–918, https://doi.org/10.5194/essd-16-903-2024, https://doi.org/10.5194/essd-16-903-2024, 2024
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A 6-week field campaign was carried out at a sheltered sandy beach on Texel along the Dutch Wadden Sea with the aim of gaining new insights into the driving processes behind sheltered beach morphodynamics. Detailed measurements of the local hydrodynamics, bed-level changes and sediment composition were collected. The morphological evolution on this sheltered site is the result of the subtle interplay between waves, currents and bed composition.
Oriane Bruyère, Romain Le Gendre, Vetea Liao, and Serge Andréfouët
Earth Syst. Sci. Data, 16, 667–679, https://doi.org/10.5194/essd-16-667-2024, https://doi.org/10.5194/essd-16-667-2024, 2024
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During 2019–2020, the lagoon and forereefs of Gambier Island (French Polynesia) were monitored with oceanographic instruments to measure lagoon hydrodynamics and ocean–lagoon water exchanges. Gambier Island is a key black pearl producer and the study goal was to understand the processes influencing spat collection of pearl oyster Pinctada margaritifera, the species used to produce black pearls. The data set is provided to address local pearl farming questions and other investigations as well.
Tahiana Ratsimbazafy, Thibaud Dezutter, Amélie Desmarais, Daniel Amirault, Pascal Guillot, and Simon Morisset
Earth Syst. Sci. Data, 16, 471–499, https://doi.org/10.5194/essd-16-471-2024, https://doi.org/10.5194/essd-16-471-2024, 2024
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The Canadian Coast Guard Ship has collected oceanographic data across the Canadian Arctic annually since 2003. Such activity aims to support Canadian and international researchers. The ship has several instruments with cutting-edge technology available for research each year during the summer. The data presented here include measurements of physical, chemical and biological variables during the year 2021. Datasets collected from each expedition are available free of charge for the public.
Md Jamal Uddin Khan, Inge Van Den Beld, Guy Wöppelmann, Laurent Testut, Alexa Latapy, and Nicolas Pouvreau
Earth Syst. Sci. Data, 15, 5739–5753, https://doi.org/10.5194/essd-15-5739-2023, https://doi.org/10.5194/essd-15-5739-2023, 2023
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Established in the southwest of France in 1875, the Socoa tide gauge is part of the national sea level monitoring network in France. Through a data archaeology exercise, a large part of the records of this gauge in paper format have been rescued and digitized. The digitized data were processed and quality controlled to produce a uniform hourly sea level time series covering 1875 to the present day. This new dataset is important for climate research on sea level rise, tides, and storm surges.
Robin V. F. de Vries, Shungudzemwoyo P. Garaba, and Sarah-Jeanne Royer
Earth Syst. Sci. Data, 15, 5575–5596, https://doi.org/10.5194/essd-15-5575-2023, https://doi.org/10.5194/essd-15-5575-2023, 2023
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We present a high-quality dataset of hyperspectral point and multipixel reflectance observations of virgin, ocean-harvested, and biofouled multipurpose plastics. Biofouling and a submerged scenario of the dataset further extend the variability in open-access spectral reference libraries that are important in algorithm development with relevance to remote sensing use cases.
Oriane Bruyère, Romain Le Gendre, Mathilde Chauveau, Bertrand Bourgeois, David Varillon, John Butscher, Thomas Trophime, Yann Follin, Jérôme Aucan, Vetea Liao, and Serge Andréfouët
Earth Syst. Sci. Data, 15, 5553–5573, https://doi.org/10.5194/essd-15-5553-2023, https://doi.org/10.5194/essd-15-5553-2023, 2023
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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.
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.
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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