Articles | Volume 18, issue 3
https://doi.org/10.5194/os-18-609-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-609-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 May 2022
Research article |
| 05 May 2022
| 05 May 2022
Contribution of a constellation of two wide-swath altimetry missions to global ocean analysis and forecasting
Mounir Benkiran
CORRESPONDING AUTHOR
Mercator-Ocean International, 31400 Toulouse, France
Pierre-Yves Le Traon
Mercator-Ocean International, 31400 Toulouse, France
Ifremer, 29280 Plouzané, France
Gérald Dibarboure
Centre National d'Études Spatiales, 31400 Toulouse, France
Related authors
Pierre-Yves Le Traon, Gérald Dibarboure, Jean-Michel Lellouche, Marie-Isabelle Pujol, Mounir Benkiran, Marie Drevillon, Yann Drillet, Yannice Faugère, and Elisabeth Remy
Ocean Sci., 21, 1329–1347, https://doi.org/10.5194/os-21-1329-2025, https://doi.org/10.5194/os-21-1329-2025, 2025
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By providing all weather, global, and real-time observations of sea level, a key variable to constrain ocean analysis and forecasting systems, satellite altimetry has had a profound impact on the development of operational oceanography. This paper provides an overview of the development and evolution of satellite altimetry and operational oceanography over the past 20 years from the launch of Jason-1 in 2001 to the launch of SWOT (Surface Water and Ocean Topography) in 2022.
Mounir Benkiran, Pierre-Yves Le Traon, Elisabeth Rémy, and Yann Drillet
EGUsphere, https://doi.org/10.5194/egusphere-2024-420, https://doi.org/10.5194/egusphere-2024-420, 2024
Preprint archived
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The assimilation of altimetry data corrects and improves the forecast of a global ocean forecasting system. Until now, the use of altimetry observations from nadir altimeters has had a major impact on the quality of ocean forecasts. Our study shows that the use of observations from swath altimeters will have a greater impact than the quality of these forecasts and will better constrain mesoscale structures.
Jean H. M. Roger, Yannice Faugère, Hélène Hébert, Antoine Delepoulle, and Gérald Dibarboure
EGUsphere, https://doi.org/10.5194/egusphere-2025-3926, https://doi.org/10.5194/egusphere-2025-3926, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Deployed in 2022, SWOT satellite was flying over the southwest Pacific region on 19 May 2023 when it recorded the tsunami triggered by a Mw 7.7 earthquake in the Vanuatu Subduction Zone. For the first time ever it provided a 2D image of a tsunami wavefield on a straight SSW-NNE path. Further compared with tsunami numerical simulation outputs, the modelled wavefield and SWOT record show an overall good phase agreement, but simulated amplitudes and energy spectra are lower than the measurements.
Michel Tchilibou, Simon Barbot, Loren Carrere, Ariane Koch-Larrouy, Gérald Dibarboure, and Clément Ubelmann
Ocean Sci., 21, 1469–1486, https://doi.org/10.5194/os-21-1469-2025, https://doi.org/10.5194/os-21-1469-2025, 2025
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MIOST24 (Multivariate Inversion of Ocean Surface Topography 2024) annual and monthly internal tide (IT) atlases, based on 25 years of altimetry data and an updated wavelength database, are presented for the Indo-Philippine archipelago and the Amazon shelf. The atlases show monthly IT variability and a better correction of IT in altimetry data than with MIOST22 (MIOST 2022) and HRET (High-Resolution Empirical Tide). The results support the development of a global MIOST24.
Pierre-Yves Le Traon, Gérald Dibarboure, Jean-Michel Lellouche, Marie-Isabelle Pujol, Mounir Benkiran, Marie Drevillon, Yann Drillet, Yannice Faugère, and Elisabeth Remy
Ocean Sci., 21, 1329–1347, https://doi.org/10.5194/os-21-1329-2025, https://doi.org/10.5194/os-21-1329-2025, 2025
Short summary
Short summary
By providing all weather, global, and real-time observations of sea level, a key variable to constrain ocean analysis and forecasting systems, satellite altimetry has had a profound impact on the development of operational oceanography. This paper provides an overview of the development and evolution of satellite altimetry and operational oceanography over the past 20 years from the launch of Jason-1 in 2001 to the launch of SWOT (Surface Water and Ocean Topography) in 2022.
Hélène Etienne, Clément Ubelmann, Fabrice Ardhuin, and Gérald Dibarboure
EGUsphere, https://doi.org/10.5194/egusphere-2025-2890, https://doi.org/10.5194/egusphere-2025-2890, 2025
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This study analyzes near-inertial oscillations (NIOs) in ocean surface currents using drifter data and the LLC2160 ocean-atmosphere model. It finds that NIOs have a typical spatial decorrelation scale around 100 km, varying with latitude. The model accurately captures these patterns, supporting the ODYSEA concept mission's goal to measure surface currents via Doppler radar and reduce NIO-related data aliasing for better ocean monitoring.
Antonio Novellino, Pierre-Yves Le Traon, and Andy Moore
State Planet, 5-opsr, 8, https://doi.org/10.5194/sp-5-opsr-8-2025, https://doi.org/10.5194/sp-5-opsr-8-2025, 2025
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This paper discusses the vital role of observations in ocean predictions and forecasting, highlighting the need for effective access, management, and integration of data to improve models and decision-making. The paper also explores opportunities for standardizing protocols and the potential of citizen-based, cost-effective data collection methods.
Ségolène Berthou, John Siddorn, Vivian Fraser-Leonhardt, Pierre-Yves Le Traon, and Ibrahim Hoteit
State Planet, 5-opsr, 20, https://doi.org/10.5194/sp-5-opsr-20-2025, https://doi.org/10.5194/sp-5-opsr-20-2025, 2025
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Ocean forecasting is traditionally done independently from atmospheric, wave, or river modelling. We discuss the benefits and challenges of bringing all these modelling systems together for ocean forecasting.
Pierre-Yves Le Traon, Antonio Novellino, and Andrew M. Moore
State Planet, 5-opsr, 7, https://doi.org/10.5194/sp-5-opsr-7-2025, https://doi.org/10.5194/sp-5-opsr-7-2025, 2025
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Ocean prediction relies on the integration between models and satellite and in situ observations through data assimilation techniques. The authors discuss the role of observations in operational ocean forecasting systems, describing the state of the art of satellite and in situ observing networks and defining the paths for addressing multi-scale monitoring and forecasting.
Clément Ubelmann, J. Thomas Farrar, Bertrand Chapron, Lucile Gaultier, Laura Gómez-Navarro, Marie-Hélène Rio, and Gérald Dibarboure
EGUsphere, https://doi.org/10.5194/egusphere-2025-1149, https://doi.org/10.5194/egusphere-2025-1149, 2025
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This study models wind-driven ocean currents using observed wind stress and an empirically estimated impulse response function based on drifting buoys. By convolving this function with wind forcing from ERA5, the estimates align well with independent observations across latitudes. Additionally, the response function serves as a valuable indicator of subsurface properties.
Michaël Ablain, Noémie Lalau, Benoit Meyssignac, Robin Fraudeau, Anne Barnoud, Gérald Dibarboure, Alejandro Egido, and Craig Donlon
Ocean Sci., 21, 343–358, https://doi.org/10.5194/os-21-343-2025, https://doi.org/10.5194/os-21-343-2025, 2025
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This study proposes a novel cross-validation method to assess the instrumental stability in sea level trends. The method involves implementing a second tandem flight phase between two successive altimeter missions a few years after the first phase. The trend in systematic instrumental differences made during the two tandem phases can be estimated below ± 0.1 mm yr-1 (16–84 % confidence level) on a global scale for time intervals between the tandem phases of 4 years or more.
Michel Tchilibou, Loren Carrere, Florent Lyard, Clément Ubelmann, Gérald Dibarboure, Edward D. Zaron, and Brian K. Arbic
Ocean Sci., 21, 325–342, https://doi.org/10.5194/os-21-325-2025, https://doi.org/10.5194/os-21-325-2025, 2025
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Sea level observations along the swaths of the new SWOT (Surface Water and Ocean Topography) mission were used to characterize internal tides at three semidiurnal frequencies off the Amazon shelf in the tropical Atlantic during the SWOT calibration/validation period. The atlases were derived using harmonic analysis and principal component analysis. The SWOT-derived internal tide atlas outperforms the reference atlas previously used to correct SWOT observations.
Gerald Dibarboure, Cécile Anadon, Frédéric Briol, Emeline Cadier, Robin Chevrier, Antoine Delepoulle, Yannice Faugère, Alice Laloue, Rosemary Morrow, Nicolas Picot, Pierre Prandi, Marie-Isabelle Pujol, Matthias Raynal, Anaelle Tréboutte, and Clément Ubelmann
Ocean Sci., 21, 283–323, https://doi.org/10.5194/os-21-283-2025, https://doi.org/10.5194/os-21-283-2025, 2025
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The Surface Water and Ocean Topography (SWOT) mission delivers unprecedented swath-altimetry products. In this paper, we describe how we extended the Level-3 algorithms to handle SWOT’s unique swath-altimeter data. We also illustrate and discuss the benefits, relevance, and limitations of Level-3 swath-altimeter products for various research domains.
Maxime Ballarotta, Clément Ubelmann, Valentin Bellemin-Laponnaz, Florian Le Guillou, Guillaume Meda, Cécile Anadon, Alice Laloue, Antoine Delepoulle, Yannice Faugère, Marie-Isabelle Pujol, Ronan Fablet, and Gérald Dibarboure
Ocean Sci., 21, 63–80, https://doi.org/10.5194/os-21-63-2025, https://doi.org/10.5194/os-21-63-2025, 2025
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The Surface Water and Ocean Topography (SWOT) mission provides unprecedented swath altimetry data. This study examines SWOT's impact on mapping systems, showing a moderate effect with the current nadir altimetry constellation and a stronger impact with a reduced one. Integrating SWOT with dynamic mapping techniques improves the resolution of satellite-derived products, offering promising solutions for studying and monitoring sea-level variability at finer scales.
Aliette Chenal, Gilles Garric, Charles-Emmanuel Testut, Mathieu Hamon, Giovanni Ruggiero, Florent Garnier, and Pierre-Yves Le Traon
EGUsphere, https://doi.org/10.5194/egusphere-2024-3633, https://doi.org/10.5194/egusphere-2024-3633, 2024
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This study proposes to improve the representation of ice and snow volumes in the Arctic and Antarctic based on a novel multivariate assimilation method using freeboard radar and snow depth satellite data. The approach leads to an improved sea ice and snow volume representation, even during summer when satellite data is limited. The performance of the assimilated system is better in the Arctic than in Antarctica, where ocean/ice interactions play a key role.
Mounir Benkiran, Pierre-Yves Le Traon, Elisabeth Rémy, and Yann Drillet
EGUsphere, https://doi.org/10.5194/egusphere-2024-420, https://doi.org/10.5194/egusphere-2024-420, 2024
Preprint archived
Short summary
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The assimilation of altimetry data corrects and improves the forecast of a global ocean forecasting system. Until now, the use of altimetry observations from nadir altimeters has had a major impact on the quality of ocean forecasts. Our study shows that the use of observations from swath altimeters will have a greater impact than the quality of these forecasts and will better constrain mesoscale structures.
Karina von Schuckmann, Lorena Moreira, and Pierre-Yves Le Traon
State Planet, 1-osr7, 1, https://doi.org/10.5194/sp-1-osr7-1-2023, https://doi.org/10.5194/sp-1-osr7-1-2023, 2023
Stefania A. Ciliberti, Enrique Alvarez Fanjul, Jay Pearlman, Kirsten Wilmer-Becker, Pierre Bahurel, Fabrice Ardhuin, Alain Arnaud, Mike Bell, Segolene Berthou, Laurent Bertino, Arthur Capet, Eric Chassignet, Stefano Ciavatta, Mauro Cirano, Emanuela Clementi, Gianpiero Cossarini, Gianpaolo Coro, Stuart Corney, Fraser Davidson, Marie Drevillon, Yann Drillet, Renaud Dussurget, Ghada El Serafy, Katja Fennel, Marcos Garcia Sotillo, Patrick Heimbach, Fabrice Hernandez, Patrick Hogan, Ibrahim Hoteit, Sudheer Joseph, Simon Josey, Pierre-Yves Le Traon, Simone Libralato, Marco Mancini, Pascal Matte, Angelique Melet, Yasumasa Miyazawa, Andrew M. Moore, Antonio Novellino, Andrew Porter, Heather Regan, Laia Romero, Andreas Schiller, John Siddorn, Joanna Staneva, Cecile Thomas-Courcoux, Marina Tonani, Jose Maria Garcia-Valdecasas, Jennifer Veitch, Karina von Schuckmann, Liying Wan, John Wilkin, and Romane Zufic
State Planet, 1-osr7, 2, https://doi.org/10.5194/sp-1-osr7-2-2023, https://doi.org/10.5194/sp-1-osr7-2-2023, 2023
Oscar Vergara, Rosemary Morrow, Marie-Isabelle Pujol, Gérald Dibarboure, and Clément Ubelmann
Ocean Sci., 19, 363–379, https://doi.org/10.5194/os-19-363-2023, https://doi.org/10.5194/os-19-363-2023, 2023
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Recent advances allow us to observe the ocean from space with increasingly higher detail, challenging our knowledge of the ocean's surface height signature. We use a statistical approach to determine the spatial scale at which the sea surface height signal is no longer dominated by geostrophic turbulence but in turn becomes dominated by wave-type motions. This information helps us to better use the data provided by ocean-observing satellites and to gain knowledge on climate-driving processes.
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.
Marie-Isabelle Pujol, Stéphanie Dupuy, Oscar Vergara, Antonio Sánchez-Román, Yannice Faugère, Pierre Prandi, Mei-Ling Dabat, Quentin Dagneaux, Marine Lievin, Emeline Cadier, Gérald Dibarboure, and Nicolas Picot
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-292, https://doi.org/10.5194/essd-2022-292, 2022
Manuscript not accepted for further review
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An altimeter sea level along-track level-3 product with a 5 Hz (~1.2 km) sampling is proposed. It takes advantage of recent advances in radar altimeter processing, and improvements made to different stages of the processing chain. Compared to the conventional 1 Hz (~7 km) product, it significantly improves the observability of the short wavelength signal in open ocean and near coast areas (> 5 km). It also contributes to improving high resolution numerical model outputs via data assimilation.
Clément Ubelmann, Loren Carrere, Chloé Durand, Gérald Dibarboure, Yannice Faugère, Maxime Ballarotta, Frédéric Briol, and Florent Lyard
Ocean Sci., 18, 469–481, https://doi.org/10.5194/os-18-469-2022, https://doi.org/10.5194/os-18-469-2022, 2022
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The signature of internal tides has become an important component for high-resolution altimetry over oceans. Several studies have proposed some solutions to resolve part of these internal tides based on the altimetry record. Following these studies, we propose here a new inversion approach aimed to mitigate aliasing with other dynamics. After a description of the methodology, the solution for the main tidal components has been successfully validated against independent observations.
Cori Pegliasco, Antoine Delepoulle, Evan Mason, Rosemary Morrow, Yannice Faugère, and Gérald Dibarboure
Earth Syst. Sci. Data, 14, 1087–1107, https://doi.org/10.5194/essd-14-1087-2022, https://doi.org/10.5194/essd-14-1087-2022, 2022
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The new global Mesoscale Eddy Trajectory Atlases (META3.1exp) provide eddy identification and trajectories from altimetry maps. These atlases comprise an improvement to and continuation of the historical META2.0 product. Changes in the detection parameters and tracking were tested by comparing the eddies from the different datasets. In particular, the eddy contours available in META3.1exp are an asset for multi-disciplinary studies.
Pierre Prandi, Jean-Christophe Poisson, Yannice Faugère, Amandine Guillot, and Gérald Dibarboure
Earth Syst. Sci. Data, 13, 5469–5482, https://doi.org/10.5194/essd-13-5469-2021, https://doi.org/10.5194/essd-13-5469-2021, 2021
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We investigate how mapping sea level in the Arctic Ocean can benefit from combining data from three satellite radar altimeters: CryoSat-2, Sentinel-3A and SARAL/AltiKa. A dedicated processing for SARAL/AltiKa provides a baseline for the cross-referencing of CryoSat-2 and Sentinel-3A before mapping. We show that by combining measurements coming from three missions, we are able to increase the resolution of gridded sea level fields in the ice-covered Arctic Ocean.
Sandrine Mulet, Marie-Hélène Rio, Hélène Etienne, Camilia Artana, Mathilde Cancet, Gérald Dibarboure, Hui Feng, Romain Husson, Nicolas Picot, Christine Provost, and P. Ted Strub
Ocean Sci., 17, 789–808, https://doi.org/10.5194/os-17-789-2021, https://doi.org/10.5194/os-17-789-2021, 2021
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Satellite altimetry has revolutionized ocean observation by allowing the sea level to be monitored with very good spatiotemporal coverage. However, only the sea level anomalies are retrieved; to monitor the whole oceanic signal a temporal mean (called mean dynamic topography, MDT) must be added to these anomalies. In this study we present the newly updated CNES-CLS18 MDT. An evaluation of this new solution shows significant improvements in both strong currents and coastal areas.
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Short summary
The SSH analysis and 7 d forecast error will be globally reduced by almost 50 %. Surface current forecast errors should be equivalent to today’s surface current analysis errors or alternatively will be improved (variance error reduction) by 30 % at the surface and 50 % for 300 m depth.
The resolution capabilities will be drastically improved and will be closer to 100 km wavelength as opposed to today where they are above 250 km (on average).
The SSH analysis and 7 d forecast error will be globally reduced by almost 50 %. Surface...
