Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-1029-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1029-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Data description paper
 | 
26 Feb 2024
Data description paper |  | 26 Feb 2024

3D reconstruction of horizontal and vertical quasi-geostrophic currents in the North Atlantic Ocean

Sarah Asdar, Daniele Ciani, and Bruno Buongiorno Nardelli

Related authors

15 Years of Satellite, In-Situ and Reanalyzed Salinity Data: Insights into Sea Surface Salinity Trends, Variability, and Water Cycle Links
Ana Claudia Parracho, Patricia Zunino, Michela Sammartino, Jacqueline Boutin, Eric Greiner, Bruno Buongiorno Nardelli, and Nicolas Kolodziejczyk
State Planet Discuss., https://doi.org/10.5194/sp-2025-3,https://doi.org/10.5194/sp-2025-3, 2025
Preprint under review for SP
Short summary
Predicting oceanic Lagrangian trajectories with hybrid space-time CNN architecture
Lorenzo Della Cioppa and Bruno Buongiorno Nardelli
EGUsphere, https://doi.org/10.5194/egusphere-2025-1136,https://doi.org/10.5194/egusphere-2025-1136, 2025
Preprint archived
Short summary
Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms
Daniele Ciani, Claudia Fanelli, and Bruno Buongiorno Nardelli
Ocean Sci., 21, 199–216, https://doi.org/10.5194/os-21-199-2025,https://doi.org/10.5194/os-21-199-2025, 2025
Short summary
The state of the global ocean
Karina von Schuckmann, Lorena Moreira, Mathilde Cancet, Flora Gues, Emmanuelle Autret, Jonathan Baker, Clément Bricaud, Romain Bourdalle-Badie, Lluis Castrillo, Lijing Cheng, Frederic Chevallier, Daniele Ciani, Alvaro de Pascual-Collar, Vincenzo De Toma, Marie Drevillon, Claudia Fanelli, Gilles Garric, Marion Gehlen, Rianne Giesen, Kevin Hodges, Doroteaciro Iovino, Simon Jandt-Scheelke, Eric Jansen, Melanie Juza, Ioanna Karagali, Thomas Lavergne, Simona Masina, Ronan McAdam, Audrey Minière, Helen Morrison, Tabea Rebekka Panteleit, Andrea Pisano, Marie-Isabelle Pujol, Ad Stoffelen, Sulian Thual, Simon Van Gennip, Pierre Veillard, Chunxue Yang, and Hao Zuo
State Planet, 4-osr8, 1, https://doi.org/10.5194/sp-4-osr8-1-2024,https://doi.org/10.5194/sp-4-osr8-1-2024, 2024
The state of the ocean in the northeastern Atlantic and adjacent seas
Karina von Schuckmann, Lorena Moreira, Mathilde Cancet, Flora Gues, Emmanuelle Autret, Ali Aydogdu, Lluis Castrillo, Daniele Ciani, Andrea Cipollone, Emanuela Clementi, Gianpiero Cossarini, Alvaro de Pascual-Collar, Vincenzo De Toma, Marion Gehlen, Rianne Giesen, Marie Drevillon, Claudia Fanelli, Kevin Hodges, Simon Jandt-Scheelke, Eric Jansen, Melanie Juza, Ioanna Karagali, Priidik Lagemaa, Vidar Lien, Leonardo Lima, Vladyslav Lyubartsev, Ilja Maljutenko, Simona Masina, Ronan McAdam, Pietro Miraglio, Helen Morrison, Tabea Rebekka Panteleit, Andrea Pisano, Marie-Isabelle Pujol, Urmas Raudsepp, Roshin Raj, Ad Stoffelen, Simon Van Gennip, Pierre Veillard, and Chunxue Yang
State Planet, 4-osr8, 2, https://doi.org/10.5194/sp-4-osr8-2-2024,https://doi.org/10.5194/sp-4-osr8-2-2024, 2024
More articles (3)

Cited articles

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., Sullivan, K. D., Kicza, M. E., 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., and Zweng, M. M.: World Ocean Database 2013, Sydney Levitus, 209 pp., https://doi.org/10.25607/OBP-1454, 2013. a
Buongiorno Nardelli, B.: A Deep Learning Network to Retrieve Ocean Hydrographic Profiles from Combined Satellite and In Situ Measurements, Remote Sens., 12, 3151, https://doi.org/10.3390/RS12193151, 2020a. a, b, c, d, e
Buongiorno Nardelli, B.: A multi-year time series of observation-based 3D horizontal and vertical quasi-geostrophic global ocean currents, Earth Syst. Sci. Data, 12, 1711–1723, https://doi.org/10.5194/essd-12-1711-2020, 2020b. a, b, c, d, e, f, g, h, i
Buongiorno Nardelli, B.: North Atlantic Data-Driven 3D Currents, Temperature and Salinity from ESA WOC project, Ver. 2.0, CERSAT/Ifremer [data set], Plouzane, France, https://doi.org/10.12770/0aa7daac-43e6-42f3-9f95-ef7da46bc702, 2022. a, b
Buongiorno Nardelli, B. and Ciani, D.: World Ocean Circulation Algorithm Theoritical Basis Document for north Atlantic data-driven 2D currents and 3D currents and tracers products, https://data-cersat.ifremer.fr/projects/woc/products/theme2/ocean_currents/woc-l4-cur-natl3d_rep-1d/v2.0/atbd.pdf (last access: 1 December 2023), 2022. a
More articles (34)
Download
Short summary
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint