Articles | Volume 20, issue 4
https://doi.org/10.5194/os-20-1003-2024
© Author(s) 2024. 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-20-1003-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Aug 2024
Research article |
| 15 Aug 2024
| 15 Aug 2024
Internal and forced ocean variability in the Mediterranean Sea
Roberta Benincasa
CORRESPONDING AUTHOR
Department of Physics and Astronomy, University of Bologna, Bologna, Italy
Giovanni Liguori
Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce, Italy
Nadia Pinardi
Department of Physics and Astronomy, University of Bologna, Bologna, Italy
Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce, Italy
Hans von Storch
Helmholtz-Zentrum Hereon, Institute for Coastal Systems, Geesthacht, Germany
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Paolo Oddo, Mario Adani, Francesco Carere, Andrea Cipollone, Anna Chiara Goglio, Eric Jansen, Ali Aydogdu, Francesca Mele, Italo Epicoco, Jenny Pistoia, Emanuela Clementi, Nadia Pinardi, and Simona Masina
EGUsphere, https://doi.org/10.5194/egusphere-2025-1553, https://doi.org/10.5194/egusphere-2025-1553, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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This study present a data assimilation scheme that combines ocean observational data with ocean model results to better understand the ocean and predict its future state. The method uses a variational approach focusing on the physical relationships between all the state vector variables errors. Testing in the Mediterranean Sea showed that a complex sea level operator based on a barotropic model works best.
Rita Lecci, Robyn Gwee, Kun Yan, Sanne Muis, Nadia Pinardi, Jun She, Martin Verlaan, Simona Masina, Wenshan Li, Hui Wang, Salvatore Causio, Antonio Novellino, Marco Alba, Etiënne Kras, Sandra Gaytan Aguilar, and Jan-Bart Calewaert
EGUsphere, https://doi.org/10.5194/egusphere-2025-1763, https://doi.org/10.5194/egusphere-2025-1763, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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This study explored how sea level is changing along the China-Europe Sea Route. By combining satellite and in-situ observations with advanced modeling, the research identified ongoing sea level rise and an increasing frequency of extreme water level events in some regions. These findings underscore the importance of continued monitoring and provide useful knowledge to support long-term planning, coastal resilience, and informed decision-making.
Italo R. Lopes, Ivan Federico, Michalis Vousdoukas, Luisa Perini, Salvatore Causio, Giovanni Coppini, Maurilio Milella, Nadia Pinardi, and Lorenzo Mentaschi
EGUsphere, https://doi.org/10.5194/egusphere-2025-1695, https://doi.org/10.5194/egusphere-2025-1695, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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We improved a computer model to simulate coastal flooding by including temporary barriers like sand dunes. We tested it where sand dunes are built seasonally to protect the shoreline for two real storms: one that broke through the dunes and another where dunes held strong. Our model showed how important it is to design these defenses carefully since even if a small part of a dune fails, a major flooding can happen. Overall, our work helps create better tools to manage and protect coastal areas.
Seimur Shirinov, Ivan Federico, Simone Bonamano, Salvatore Causio, Nicolás Biocca, Viviana Piermattei, Daniele Piazzolla, Jacopo Alessandri, Lorenzo Mentaschi, Giovanni Coppini, Marco Marcelli, and Nadia Pinardi
EGUsphere, https://doi.org/10.5194/egusphere-2025-321, https://doi.org/10.5194/egusphere-2025-321, 2025
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This study explores the impact of submerged vegetation on wave dynamics in vulnerable coastal regions. By incorporating measurements into a numerical model, we estimate the critical role of seagrass as a natural defense system. This research advances understanding of wave-vegetation interactions, achieving a more accurate representation of marine environments while supporting restoration efforts and emphasizing the need to preserve these ecosystems for resilience.
José A. Jiménez, Gundula Winter, Antonio Bonaduce, Michael Depuydt, Giulia Galluccio, Bart van den Hurk, H. E. Markus Meier, Nadia Pinardi, Lavinia G. Pomarico, and Natalia Vazquez Riveiros
State Planet, 3-slre1, 3, https://doi.org/10.5194/sp-3-slre1-3-2024, https://doi.org/10.5194/sp-3-slre1-3-2024, 2024
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The Knowledge Hub on Sea Level Rise (SLR) has done a scoping study involving stakeholders from government and academia to identify gaps and needs in SLR information, impacts, and policies across Europe. Gaps in regional SLR projections and uncertainties were found, while concerns were raised about shoreline erosion and emerging problems like saltwater intrusion and ineffective adaptation plans. The need for improved communication to make better decisions on SLR adaptation was highlighted.
Nadia Pinardi, Bart van den Hurk, Michael Depuydt, Thorsten Kiefer, Petra Manderscheid, Lavinia Giulia Pomarico, and Kanika Singh
State Planet, 3-slre1, 2, https://doi.org/10.5194/sp-3-slre1-2-2024, https://doi.org/10.5194/sp-3-slre1-2-2024, 2024
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The Knowledge Hub on Sea Level Rise (KH-SLR), a joint effort between JPI Climate and JPI Oceans, addresses the critical need for science-based information on sea level changes in Europe. The KH-SLR actively involves stakeholders through a co-design process discussing the impacts, adaptation planning, and policy requirements related to SLR in Europe. Its primary output is the KH Assessment Report (KH-AR), which is described in this volume.
Bart van den Hurk, Nadia Pinardi, Alexander Bisaro, Giulia Galluccio, José A. Jiménez, Kate Larkin, Angélique Melet, Lavinia Giulia Pomarico, Kristin Richter, Kanika Singh, Roderik van de Wal, and Gundula Winter
State Planet, 3-slre1, 1, https://doi.org/10.5194/sp-3-slre1-1-2024, https://doi.org/10.5194/sp-3-slre1-1-2024, 2024
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The Summary for Policymakers compiles findings from “Sea Level Rise in Europe: 1st Assessment Report of the Knowledge Hub on Sea Level Rise”. It covers knowledge gaps, observations, projections, impacts, adaptation measures, decision-making principles, and governance challenges. It provides information for each European basin (Mediterranean, Black Sea, North Sea, Baltic Sea, Atlantic, and Arctic) and aims to assist policymakers in enhancing the preparedness of European coasts for sea level rise.
Bethany McDonagh, Emanuela Clementi, Anna Chiara Goglio, and Nadia Pinardi
Ocean Sci., 20, 1051–1066, https://doi.org/10.5194/os-20-1051-2024, https://doi.org/10.5194/os-20-1051-2024, 2024
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Tides in the Mediterranean Sea are typically of low amplitude, but twin experiments with and without tides demonstrate that tides affect the circulation directly at scales away from those of the tides. Analysis of the energy changes due to tides shows that they enhance existing oscillations, and internal tides interact with other internal waves. Tides also increase the mixed layer depth and enhance deep water formation in key regions. Internal tides are widespread in the Mediterranean Sea.
Lin Lin, Hans von Storch, and Yang Ding
EGUsphere, https://doi.org/10.5194/egusphere-2024-1332, https://doi.org/10.5194/egusphere-2024-1332, 2024
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The Qingdao cold water mass significantly influences aquaculture in China since it is situated near the Chinese coastline. Based on 3-dimensional numerical simulation results, we find a clockwise current structure that exists around the Qingdao cold water mass; furthermore, we analyze the relationship between the clockwise current with the Qingdao cold water temperature and salinity.
Skyler Kern, Mary E. McGuinn, Katherine M. Smith, Nadia Pinardi, Kyle E. Niemeyer, Nicole S. Lovenduski, and Peter E. Hamlington
Geosci. Model Dev., 17, 621–649, https://doi.org/10.5194/gmd-17-621-2024, https://doi.org/10.5194/gmd-17-621-2024, 2024
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Computational models are used to simulate the behavior of marine ecosystems. The models often have unknown parameters that need to be calibrated to accurately represent observational data. Here, we propose a novel approach to simultaneously determine a large set of parameters for a one-dimensional model of a marine ecosystem in the surface ocean at two contrasting sites. By utilizing global and local optimization techniques, we estimate many parameters in a computationally efficient manner.
Giovanni Coppini, Emanuela Clementi, Gianpiero Cossarini, Stefano Salon, Gerasimos Korres, Michalis Ravdas, Rita Lecci, Jenny Pistoia, Anna Chiara Goglio, Massimiliano Drudi, Alessandro Grandi, Ali Aydogdu, Romain Escudier, Andrea Cipollone, Vladyslav Lyubartsev, Antonio Mariani, Sergio Cretì, Francesco Palermo, Matteo Scuro, Simona Masina, Nadia Pinardi, Antonio Navarra, Damiano Delrosso, Anna Teruzzi, Valeria Di Biagio, Giorgio Bolzon, Laura Feudale, Gianluca Coidessa, Carolina Amadio, Alberto Brosich, Arnau Miró, Eva Alvarez, Paolo Lazzari, Cosimo Solidoro, Charikleia Oikonomou, and Anna Zacharioudaki
Ocean Sci., 19, 1483–1516, https://doi.org/10.5194/os-19-1483-2023, https://doi.org/10.5194/os-19-1483-2023, 2023
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The paper presents the Mediterranean Forecasting System evolution and performance developed in the framework of the Copernicus Marine Service.
Hans von Storch
Hist. Geo Space. Sci. Discuss., https://doi.org/10.5194/hgss-2023-6, https://doi.org/10.5194/hgss-2023-6, 2023
Revised manuscript under review for HGSS
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Climate science underwent a rapid expansion in the last decades, associated with ever growing significance for climate policy. On the other hand, climate science is, as all sciences, also a social process. Confronted with these developments, several different series of oral interviews with climate scholars, of different seniority, were done and archived. The present article gives an overview of these interviews, and tries to briefly describe the social context of climate science.
Hans von Storch
Nonlin. Processes Geophys., 30, 31–36, https://doi.org/10.5194/npg-30-31-2023, https://doi.org/10.5194/npg-30-31-2023, 2023
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Climate science is, as all sciences, a social process and as such conditioned by the zeitgeist of the time. It has an old history and has attained different political significances. Today, it is the challenge of anthropogenic climate change – and societies want answers about how to deal with it. In earlier times, it was mostly the ideology of climate determinism which led people to construct superiority and eventually colonialism.
Umesh Pranavam Ayyappan Pillai, Nadia Pinardi, Ivan Federico, Salvatore Causio, Francesco Trotta, Silvia Unguendoli, and Andrea Valentini
Nat. Hazards Earth Syst. Sci., 22, 3413–3433, https://doi.org/10.5194/nhess-22-3413-2022, https://doi.org/10.5194/nhess-22-3413-2022, 2022
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The study presents the application of high-resolution coastal modelling for wave hindcasting on the Emilia-Romagna coastal belt. The generated coastal databases which provide an understanding of the prevailing wind-wave characteristics can aid in predicting coastal impacts.
Giorgio Micaletto, Ivano Barletta, Silvia Mocavero, Ivan Federico, Italo Epicoco, Giorgia Verri, Giovanni Coppini, Pasquale Schiano, Giovanni Aloisio, and Nadia Pinardi
Geosci. Model Dev., 15, 6025–6046, https://doi.org/10.5194/gmd-15-6025-2022, https://doi.org/10.5194/gmd-15-6025-2022, 2022
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The full exploitation of supercomputing architectures requires a deep revision of the current climate models. This paper presents the parallelization of the three-dimensional hydrodynamic model SHYFEM (System of HydrodYnamic Finite Element Modules). Optimized numerical libraries were used to partition the model domain and solve the sparse linear system of equations in parallel. The performance assessment demonstrates a good level of scalability with a realistic configuration used as a benchmark.
Katherine M. Smith, Skyler Kern, Peter E. Hamlington, Marco Zavatarelli, Nadia Pinardi, Emily F. Klee, and Kyle E. Niemeyer
Geosci. Model Dev., 14, 2419–2442, https://doi.org/10.5194/gmd-14-2419-2021, https://doi.org/10.5194/gmd-14-2419-2021, 2021
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We present a newly developed reduced-order biogeochemical flux model that is complex and flexible enough to capture open-ocean ecosystem dynamics but reduced enough to incorporate into highly resolved numerical simulations with limited additional computational cost. The model provides improved correlations between model output and field data, indicating that significant improvements in the reproduction of real-world data can be achieved with a small number of variables.
Yan Li, Hans von Storch, Qingyuan Wang, Qingliang Zhou, and Shengquan Tang
Ocean Sci., 15, 1455–1467, https://doi.org/10.5194/os-15-1455-2019, https://doi.org/10.5194/os-15-1455-2019, 2019
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The main goals are to study the performance of gridded SST datasets in coastal waters by comparing to homogenized in situ SST records. In recognizing that local data may reflect local effects, we focus on the dominant EOFs of the in situ SSTs and localized gridded datasets, examining patterns, variabilities, and trends. We conclude that gridded datasets need improvement in the pre-satellite era by reexamining in detail archives of local SST records in many data-sparse regions.
Ali Aydoğdu, Nadia Pinardi, Emin Özsoy, Gokhan Danabasoglu, Özgür Gürses, and Alicia Karspeck
Ocean Sci., 14, 999–1019, https://doi.org/10.5194/os-14-999-2018, https://doi.org/10.5194/os-14-999-2018, 2018
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A 6-year simulation of the Turkish Straits System is presented. The simulation is performed by a model using unstructured triangular mesh and realistic atmospheric forcing. The dynamics and circulation of the Marmara Sea are analysed and the mean state of the system is discussed on annual averages. Volume fluxes computed throughout the simulation are presented and the response of the model to severe storms is shown. Finally, it was possible to assess the kinetic energy budget in the Marmara Sea.
Ali Aydoğdu, Timothy J. Hoar, Tomislava Vukicevic, Jeffrey L. Anderson, Nadia Pinardi, Alicia Karspeck, Jonathan Hendricks, Nancy Collins, Francesca Macchia, and Emin Özsoy
Nonlin. Processes Geophys., 25, 537–551, https://doi.org/10.5194/npg-25-537-2018, https://doi.org/10.5194/npg-25-537-2018, 2018
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This study presents, to our knowledge, the first data assimilation experiments in the Sea of Marmara. We propose a FerryBox network for monitoring the state of the sea and show that assimilation of the temperature and salinity improves the forecasts in the basin. The flow of the Bosphorus helps to propagate the error reduction. The study can be taken as a step towards a marine forecasting system in the Sea of Marmara that will help to improve the forecasts in the adjacent Black and Aegean seas.
Yan Li, Birger Tinz, Hans von Storch, Qingyuan Wang, Qingliang Zhou, and Yani Zhu
Earth Syst. Sci. Data, 10, 643–652, https://doi.org/10.5194/essd-10-643-2018, https://doi.org/10.5194/essd-10-643-2018, 2018
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In order to construct a long-term homogeneous surface air temperature (SAT) series (more than 100 years), based on quality control, interpolation and homogeneity methods, we objectively establish a set of homogenized monthly SAT series in Qingdao, China from 1899 to 2014. Then long-term climate change trends can be described. The SAT in Qingdao has a notable warming of 0.11 °C per decade during 1899–2014. The coldest period occurred in 1909–1918 and the warmest period occurred in 1999–2008.
Giorgia Verri, Nadia Pinardi, David Gochis, Joseph Tribbia, Antonio Navarra, Giovanni Coppini, and Tomislava Vukicevic
Nat. Hazards Earth Syst. Sci., 17, 1741–1761, https://doi.org/10.5194/nhess-17-1741-2017, https://doi.org/10.5194/nhess-17-1741-2017, 2017
Giovanni Coppini, Palmalisa Marra, Rita Lecci, Nadia Pinardi, Sergio Cretì, Mario Scalas, Luca Tedesco, Alessandro D'Anca, Leopoldo Fazioli, Antonio Olita, Giuseppe Turrisi, Cosimo Palazzo, Giovanni Aloisio, Sandro Fiore, Antonio Bonaduce, Yogesh Vittal Kumkar, Stefania Angela Ciliberti, Ivan Federico, Gianandrea Mannarini, Paola Agostini, Roberto Bonarelli, Sara Martinelli, Giorgia Verri, Letizia Lusito, Davide Rollo, Arturo Cavallo, Antonio Tumolo, Tony Monacizzo, Marco Spagnulo, Rorberto Sorgente, Andrea Cucco, Giovanni Quattrocchi, Marina Tonani, Massimiliano Drudi, Paola Nassisi, Laura Conte, Laura Panzera, Antonio Navarra, and Giancarlo Negro
Nat. Hazards Earth Syst. Sci., 17, 533–547, https://doi.org/10.5194/nhess-17-533-2017, https://doi.org/10.5194/nhess-17-533-2017, 2017
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SeaConditions aims to support the users by providing the environmental information in due time and with adequate accuracy in the marine and coastal environments, enforcing users' sea situational awareness. SeaConditions consists of a web and mobile application for the provision of meteorological and oceanographic observation and forecasting products. The iOS/Android apps were downloaded by more than 105 000 users and more than 100 000 users have visited the web version (www.sea-conditions.com).
Ivan Federico, Nadia Pinardi, Giovanni Coppini, Paolo Oddo, Rita Lecci, and Michele Mossa
Nat. Hazards Earth Syst. Sci., 17, 45–59, https://doi.org/10.5194/nhess-17-45-2017, https://doi.org/10.5194/nhess-17-45-2017, 2017
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SANIFS (Southern Adriatic Northern Ionian coastal Forecasting System) is a coastal-ocean operational system based on the unstructured grid finite-element three-dimensional hydrodynamic SHYFEM model, which provides short-term forecasts. The operational chain is based on a downscaling approach starting from the large-scale system for the entire Mediterranean Basin (MFS, Mediterranean Forecasting System), which provides initial and boundary condition fields for the nested system.
Zhaoyi Wang, Andrea Storto, Nadia Pinardi, Guimei Liu, and Hui Wang
Nat. Hazards Earth Syst. Sci., 17, 17–30, https://doi.org/10.5194/nhess-17-17-2017, https://doi.org/10.5194/nhess-17-17-2017, 2017
Giovanni Coppini, Eric Jansen, Giuseppe Turrisi, Sergio Creti, Elena Yurievna Shchekinova, Nadia Pinardi, Rita Lecci, Ivano Carluccio, Yogesh Vittal Kumkar, Alessandro D'Anca, Gianandrea Mannarini, Sara Martinelli, Palmalisa Marra, Tommaso Capodiferro, and Tommaso Gismondi
Nat. Hazards Earth Syst. Sci., 16, 2713–2727, https://doi.org/10.5194/nhess-16-2713-2016, https://doi.org/10.5194/nhess-16-2713-2016, 2016
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A new web-based and mobile Decision Support System (DSS) for Search-And-Rescue (SAR) at sea is presented, and its performance is evaluated using real case scenarios. The system, named OCEAN-SAR, is accessible via the website http://www.ocean-sar.com. OCEAN-SAR simulates drifting objects at sea, using as input ocean currents and wind. The performance of the service is evaluated by comparing simulations to data from the Italian Coast Guard pertaining to actual incidents in the Mediterranean Sea.
Nadia Pinardi, Vladyslav Lyubartsev, Nicola Cardellicchio, Claudio Caporale, Stefania Ciliberti, Giovanni Coppini, Francesca De Pascalis, Lorenzo Dialti, Ivan Federico, Marco Filippone, Alessandro Grandi, Matteo Guideri, Rita Lecci, Lamberto Lamberti, Giuliano Lorenzetti, Paolo Lusiani, Cosimo Damiano Macripo, Francesco Maicu, Michele Mossa, Diego Tartarini, Francesco Trotta, Georg Umgiesser, and Luca Zaggia
Nat. Hazards Earth Syst. Sci., 16, 2623–2639, https://doi.org/10.5194/nhess-16-2623-2016, https://doi.org/10.5194/nhess-16-2623-2016, 2016
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A multiscale sampling experiment was carried out in the Gulf of Taranto (eastern Mediterranean) providing the first synoptic evidence of the large-scale circulation structure and associated mesoscale variability. The circulation is shown to be dominated by an anticyclonic gyre and upwelling areas at the gyre periphery.
Emanuela Fiori, Marco Zavatarelli, Nadia Pinardi, Cristina Mazziotti, and Carla Rita Ferrari
Nat. Hazards Earth Syst. Sci., 16, 2043–2054, https://doi.org/10.5194/nhess-16-2043-2016, https://doi.org/10.5194/nhess-16-2043-2016, 2016
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This study shows the capability of the numerical model in reproducing the trophic index (TRIX) calculated from in situ data. The ecosystem simulations can represent an important support for monitoring activities, allowing the use of TRIX to be extended to larger areas where in situ sampling activities are difficult to implement. The model TRIX was calculated for the whole Adriatic Sea, showing trophic differences across the Adriatic Sea.
Svitlana Liubartseva, Giovanni Coppini, Nadia Pinardi, Michela De Dominicis, Rita Lecci, Giuseppe Turrisi, Sergio Cretì, Sara Martinelli, Paola Agostini, Palmalisa Marra, and Francesco Palermo
Nat. Hazards Earth Syst. Sci., 16, 2009–2020, https://doi.org/10.5194/nhess-16-2009-2016, https://doi.org/10.5194/nhess-16-2009-2016, 2016
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An innovative fully operational 24/7 web-based decision support system, WITOIL (Where Is The Oil), has been developed to support oil pollution response. The system meets the real-time requirements in terms of performance and dynamic service delivery. Comprehensive computational resources and network bandwidth efficiently support the multi-user regime. The eight-language graphical user interface incorporates a great variety of user services, e.g., help and support, tooltips, and video tutorials.
Jenny Pistoia, Nadia Pinardi, Paolo Oddo, Matthew Collins, Gerasimos Korres, and Yann Drillet
Nat. Hazards Earth Syst. Sci., 16, 1807–1819, https://doi.org/10.5194/nhess-16-1807-2016, https://doi.org/10.5194/nhess-16-1807-2016, 2016
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In this work we developed a new multi-model super-ensemble method to estimate sea surface temperature, an important product of ocean analysis systems. We find that ensemble size, quality, type of members and the training period length are all important elements of the MMSE methodology and require careful calibration. We show that with a rather limited but overconfident data set (with a low bias of the starting ensemble members) the RMSE analysis can be improved.
Gianandrea Mannarini, Giuseppe Turrisi, Alessandro D'Anca, Mario Scalas, Nadia Pinardi, Giovanni Coppini, Francesco Palermo, Ivano Carluccio, Matteo Scuro, Sergio Cretì, Rita Lecci, Paola Nassisi, and Luca Tedesco
Nat. Hazards Earth Syst. Sci., 16, 1791–1806, https://doi.org/10.5194/nhess-16-1791-2016, https://doi.org/10.5194/nhess-16-1791-2016, 2016
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Safety and efficiency of navigation can be enhanced through a better situational awareness at sea. We designed and realized an operational infrastructure for providing the navigators with optimal routes through various devices: PC, tablets, and smartphones. Sea-state and wind forecasts are used as inputs. Both motor- and sailboat routes are addressed by VISIR.
Eric Jansen, Giovanni Coppini, and Nadia Pinardi
Nat. Hazards Earth Syst. Sci., 16, 1623–1628, https://doi.org/10.5194/nhess-16-1623-2016, https://doi.org/10.5194/nhess-16-1623-2016, 2016
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In March 2014, a commercial airliner vanished without a trace. The main wreckage of the plane was never recovered, except for some small parts that washed up more than 17 months after the disappearance. In this paper we show a method to model the most likely trajectories of floating debris from the aircraft. The results show that the assumed area of the crash site is compatible with the recovered debris and predict that further debris may be found along the African east coast.
Jun She, Icarus Allen, Erik Buch, Alessandro Crise, Johnny A. Johannessen, Pierre-Yves Le Traon, Urmas Lips, Glenn Nolan, Nadia Pinardi, Jan H. Reißmann, John Siddorn, Emil Stanev, and Henning Wehde
Ocean Sci., 12, 953–976, https://doi.org/10.5194/os-12-953-2016, https://doi.org/10.5194/os-12-953-2016, 2016
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This white paper addresses key scientific challenges and research priorities for the development of operational oceanography in Europe for the next 5–10 years. Knowledge gaps and deficiencies are identified in relation to common scientific challenges in four EuroGOOS knowledge areas: European ocean observations, modelling and forecasting technology, coastal operational oceanography, and operational ecology.
Gianandrea Mannarini, Nadia Pinardi, Giovanni Coppini, Paolo Oddo, and Alessandro Iafrati
Geosci. Model Dev., 9, 1597–1625, https://doi.org/10.5194/gmd-9-1597-2016, https://doi.org/10.5194/gmd-9-1597-2016, 2016
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VISIR is a new numerical model for the computation of optimal ship routes from meteo-marine forecasts. VISIR offers the scientific community an open platform whereby various ideas and methods for ship route optimization can be shared, tested, and compared to each other.
P. Oddo, A. Bonaduce, N. Pinardi, and A. Guarnieri
Geosci. Model Dev., 7, 3001–3015, https://doi.org/10.5194/gmd-7-3001-2014, https://doi.org/10.5194/gmd-7-3001-2014, 2014
A. Guarnieri, A. J. Souza, N. Pinardi, and P. Traykovski
Ocean Sci. Discuss., https://doi.org/10.5194/osd-11-1391-2014, https://doi.org/10.5194/osd-11-1391-2014, 2014
Revised manuscript not accepted
M. De Dominicis, N. Pinardi, G. Zodiatis, and R. Lardner
Geosci. Model Dev., 6, 1851–1869, https://doi.org/10.5194/gmd-6-1851-2013, https://doi.org/10.5194/gmd-6-1851-2013, 2013
M. De Dominicis, N. Pinardi, G. Zodiatis, and R. Archetti
Geosci. Model Dev., 6, 1871–1888, https://doi.org/10.5194/gmd-6-1871-2013, https://doi.org/10.5194/gmd-6-1871-2013, 2013
Related subject area
Approach: Numerical Models | Properties and processes: Internal waves, turbulence and mixing
Coupled estimation of internal tides and turbulent motions via statistical modal decomposition
Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea
Regional modeling of internal-tide dynamics around New Caledonia. Part 2: Tidal incoherence and implications for sea surface height observability
Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches. Part I: statistical model and analysis of observational data
Seasonal variability in the semidiurnal internal tide – a comparison between sea surface height and energetics
Numerical investigation of interaction between anticyclonic eddy and semidiurnal internal tide in the northeastern South China Sea
Internal tides off the Amazon shelf – Part 1: The importance of the structuring of ocean temperature during two contrasted seasons
Regional modeling of internal-tide dynamics around New Caledonia – Part 1: Coherent internal-tide characteristics and sea surface height signature
Igor Maingonnat, Gilles Tissot, and Noé Lahaye
Ocean Sci., 21, 807–827, https://doi.org/10.5194/os-21-807-2025, https://doi.org/10.5194/os-21-807-2025, 2025
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The entanglement of waves and currents in observational data complicates their respective estimation. We propose a data-driven method that provides a reduced set of modes for waves and currents. These sets of modes are correlated with each other, enabling us to perform a coupled estimation of these two physical processes. This methodology is capable of producing estimates from an instantaneous observation of sea surface height and for a strong jet signal.
Siren Rühs, Ton van den Bremer, Emanuela Clementi, Michael C. Denes, Aimie Moulin, and Erik van Sebille
Ocean Sci., 21, 217–240, https://doi.org/10.5194/os-21-217-2025, https://doi.org/10.5194/os-21-217-2025, 2025
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Simulating the transport of floating particles on the ocean surface is crucial for solving many societal issues. Here, we investigate how the representation of wind-generated surface waves impacts particle transport simulations. We find that different wave-driven processes can alter transport patterns and that commonly adopted approximations are not always adequate. This suggests that ideally coupled ocean–wave models should be used for surface particle transport simulations.
Arne Bendinger, Sophie Cravatte, Lionel Gourdeau, Clément Vic, and Florent Lyard
EGUsphere, https://doi.org/10.5194/egusphere-2025-95, https://doi.org/10.5194/egusphere-2025-95, 2025
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Temporal variability of the semidiurnal internal tide around New Caledonia is investigated using regional modeling. An important contribution to temporal variability not linked to the astronomically-forced spring-neap cycle is due to the presence of mesoscale eddies, both at the generation sites and in propagation direction. The incoherent tide has a widespread signature in sea surface height (SSH) challenging the SSH observability of mesoscale to submesoscale dynamics.
Kenji Shimizu
EGUsphere, https://doi.org/10.5194/egusphere-2024-4192, https://doi.org/10.5194/egusphere-2024-4192, 2025
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This paper demonstrates the importance of viewing internal tides (internal waves at tidal frequencies) as the sum of many random waves, because statistical principles introduce characteristics that do not exist for the sum of a few random waves. This view leads us to the existence of a universal probability distribution for internal tides, which can be used for scientific and engineering purposes in the future, as is the case of surface waves.
Harpreet Kaur, Maarten C. Buijsman, Zhongxiang Zhao, and Jay F. Shriver
Ocean Sci., 20, 1187–1208, https://doi.org/10.5194/os-20-1187-2024, https://doi.org/10.5194/os-20-1187-2024, 2024
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This study examines the seasonal variability in internal tide sea surface height in a global model simulation. We also compare this with altimetry and the seasonal variability in the internal tide energy terms. Georges Bank and the Arabian Sea show the strongest seasonal variability. This study also reveals that sea surface height may not be the most accurate indicator of the true seasonal variability in the internal tides because it is modulated by the seasonal variability in stratification.
Liming Fan, Hui Sun, Qingxuan Yang, and Jianing Li
Ocean Sci., 20, 241–264, https://doi.org/10.5194/os-20-241-2024, https://doi.org/10.5194/os-20-241-2024, 2024
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Understanding internal tide generation and propagation is crucial for predicting large-scale circulation and climate change. Internal tides are prone to interacting with background currents with similar spatial scales during propagation. This paper investigates the physical mechanism of the interaction between semidiurnal internal tides and an anticyclonic eddy in the northeastern South China Sea using a numerical model with high spatial and temporal resolution.
Fernand Assene, Ariane Koch-Larrouy, Isabelle Dadou, Michel Tchilibou, Guillaume Morvan, Jérôme Chanut, Alex Costa da Silva, Vincent Vantrepotte, Damien Allain, and Trung-Kien Tran
Ocean Sci., 20, 43–67, https://doi.org/10.5194/os-20-43-2024, https://doi.org/10.5194/os-20-43-2024, 2024
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Twin simulations, with and without tides, are used to assess the impact of internal tides (ITs) on ocean temperature off the Amazon mouth at a seasonal scale. We found that in the surface layers, ITs and barotropic tides cause a cooling effect on sea surface temperature, subsequently leading to an increase in the net heat flux between the atmosphere and ocean. Vertical mixing is identified as the primary driver, followed by vertical and horizontal advection.
Arne Bendinger, Sophie Cravatte, Lionel Gourdeau, Laurent Brodeau, Aurélie Albert, Michel Tchilibou, Florent Lyard, and Clément Vic
Ocean Sci., 19, 1315–1338, https://doi.org/10.5194/os-19-1315-2023, https://doi.org/10.5194/os-19-1315-2023, 2023
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New Caledonia is a hot spot of internal-tide generation due to complex bathymetry. Regional modeling quantifies the coherent internal tide and shows that most energy is converted in shallow waters and on very steep slopes. The region is a challenge for observability of balanced dynamics due to strong internal-tide sea surface height (SSH) signatures at similar wavelengths. Correcting the SSH for the coherent internal tide may increase the observability of balanced motion to < 100 km.
Cited articles
Arbic, B. K., Müller, M., Richman, J. G., Shriver, J. F., Morten, A. J., Scott, R. B., Sérazin, G., and Penduff, T.: Geostrophic turbulence in the frequency–wavenumber domain: Eddy-driven low-frequency variability, J. Phys. Oceanogr., 44, 2050–2069, 2014. a
Artegiani, A., Paschini, E., Russo, A., Bregant, D., Raicich, F., and Pinardi, N.: The Adriatic Sea general circulation. Part I: Air–sea interactions and water mass structure, J. Phys. Oceanogr., 27, 1492–1514, 1997. a
Barnier, B., Siefridt, L., and Marchesiello, P.: Thermal forcing for a global ocean circulation model using a three-year climatology of ECMWF analyses, J. Marine Syst., 6, 363–380, 1995. a
Benincasa, R., Liguori, G., Pinardi, N., and von Storch, H.: Simulations used in the Ocean Science Journal submission titled “Internal and forced ocean variability in the Mediterranean Sea” by Benincasa et al., 2024, Zenodo [data set], https://doi.org/10.5281/zenodo.10371026, 2024. a
Beuvier, J., Béranger, K., Lebeaupin Brossier, C., Somot, S., Sevault, F., Drillet, Y., Bourdallé-Badie, R., Ferry, N., and Lyard, F.: Spreading of the Western Mediterranean Deep Water after winter 2005: Time scales and deep cyclone transport, J. Geophys. Res.-Oceans, 117, C07022, https://doi.org/10.1029/2011JC007679, 2012. a
Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G.: Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091–1106, https://doi.org/10.5194/gmd-10-1091-2017, 2017. a, b
Bonaduce, A., Cipollone, A., Johannessen, J. A., Staneva, J., Raj, R. P., and Aydogdu, A.: Ocean mesoscale variability: A case study on the Mediterranean Sea from a re-analysis perspective, Front. Earth Sci., 9, 724879, https://doi.org/10.3389/feart.2021.724879, 2021. a
CAL: Coherent Lagrangian Pathways from Surface Ocean to Interior, https://calypsodri.whoi.edu/, last access: 5 April 2024. a
Clementi, E., Pistoia, J., Escudier, R., Delrosso, D., Drudi, M., Grandi, A., Lecci, R., Cretí, S., Ciliberti, S., Coppini, G., Masina, S., and Pinardi, N.: Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents, EAS5 system) (Version 1), Copernicus Monitoring Environment Marine Service (CMEMS) [data set], https://doi.org/10.25423/CMCC/MEDSEA_ANALYSIS_FORECAST_PHY_006_013_EAS5, 2019. a, b
Coppini, G., Clementi, E., Cossarini, G., Salon, S., Korres, G., Ravdas, M., Lecci, R., Pistoia, J., Goglio, A. C., Drudi, M., Grandi, A., Aydogdu, A., Escudier, R., Cipollone, A., Lyubartsev, V., Mariani, A., Cretì, S., Palermo, F., Scuro, M., Masina, S., Pinardi, N., Navarra, A., Delrosso, D., Teruzzi, A., Di Biagio, V., Bolzon, G., Feudale, L., Coidessa, G., Amadio, C., Brosich, A., Miró, A., Alvarez, E., Lazzari, P., Solidoro, C., Oikonomou, C., and Zacharioudaki, A.: The Mediterranean Forecasting System – Part 1: Evolution and performance, Ocean Sci., 19, 1483–1516, https://doi.org/10.5194/os-19-1483-2023, 2023. a, b, c
Demirov, E. K. and Pinardi, N.: On the relationship between the water mass pathways and eddy variability in the Western Mediterranean Sea, J. Geophys. Res.-Oceans, 112, C02024, https://doi.org/10.1029/2005JC003174, 2007. a
Escudier, R., Clementi, E., Cipollone, A., Pistoia, J., Drudi, M., Grandi, A., Lyubartsev, V., Lecci, R., Aydogdu, A., Delrosso, D., Omar, M., Masina, S., Coppini, G., and Pinardi, N.: A high resolution reanalysis for the Mediterranean Sea, Front. Earth Sci., 9, 702285, https://doi.org/10.3389/feart.2021.702285, 2021. a
Fortin, V., Abaza, M., Anctil, F., and Turcotte, R.: Why should ensemble spread match the RMSE of the ensemble mean?, J. Hydrometeorol., 15, 1708–1713, 2014. a
Gonzalez, N., Waldman, R., Sannino, G., Giordani, H., and Somot, S.: A new perspective on tidal mixing at the Strait of Gibraltar from a very high-resolution model of the Mediterranean Sea, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3971, https://doi.org/10.5194/egusphere-egu21-3971, 2021. a
Harrison, D. and Robinson, A.: Energy analysis of open regions of turbulent flows – Mean eddy energetics of a numerical ocean circulation experiment, Dynam. Atmos. Oceans, 2, 185–211, 1978. a
Hasselmann, K.: Stochastic climate models part I. Theory, Tellus, 28, 473–485, 1976. a
Hecht, A., Pinardi, N., and Robinson, A. R.: Currents, water masses, eddies and jets in the Mediterranean Levantine Basin, J. Phys. Oceanogr., 18, 1320–1353, 1988. a
Herbaut, C., Martel, F., and Crépon, M.: A sensitivity study of the general circulation of the Western Mediterranean Sea. Part II: the response to atmospheric forcing, J. Phys. Oceanogr., 27, 2126–2145, 1997. a
Hogan, E. and Sriver, R.: The effect of internal variability on ocean temperature adjustment in a low-resolution CESM initial condition ensemble, J. Geophys. Res.-Oceans, 124, 1063–1073, 2019. a
Jochum, M. and Murtugudde, R.: Internal variability of the tropical Pacific Ocean, Geophys. Res. Lett., 31, L14309, https://doi.org/10.1029/2004GL020488, 2004. a
Jochum, M. and Murtugudde, R.: Internal variability of Indian ocean SST, J. Climate, 18, 3726–3738, 2005. a
Le Traon, P. Y., Reppucci, A., Alvarez Fanjul, E., et al.: From observation to information and users: The Copernicus Marine Service perspective, Front. Mar. Sci., 6, 234, https://doi.org/10.3389/fmars.2019.00234, 2019. a
Lin, L., von Storch, H., Guo, D., Tang, S., Zheng, P., and Chen, X.: The effect of tides on internal variability in the Bohai and Yellow Sea, Dynam. Atmos. Oceans, 98, 101301, https://doi.org/10.1016/j.dynatmoce.2022.101301, 2022. a, b, c
Lin, L., von Storch, H., and Chen, X.: Seeding Noise in Ensembles of Marginal Sea Simulations – The Case of Bohai and Yellow Sea, Advances in Computer and Communication, 4, 70–73, 2023a. a
Lin, L., von Storch, H., and Chen, X.: The Stochastic Climate Model helps reveal the role of memory in internal variability in the Bohai and Yellow Sea, Communications Earth & Environment, 4, 347, https://doi.org/10.1038/s43247-023-01018-7, 2023b. a
Lin, L., von Storch, H., Chen, X., Jiang, W., and Tang, S.: Link between the internal variability and the baroclinic instability in the Bohai and Yellow Sea, Ocean Dynam., 73, 793–806, 2023c. a
Lorenz, E. N.: Climate predictability, in: The physical basis of climate and climate modelling (WMO GARP Publ. Ser. no. 16), 132–136, Geneva, World Meteorological Organization, 1975. a
McDonagh, B., Clementi, E., and Pinardi, N.: The characteristics and effects of tides on the general circulation of the Mediterranean Sea, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-14117, https://doi.org/10.5194/egusphere-egu23-14117, 2023. a
McWilliams, J. C.: Modeling the oceanic general circulation, Annu. Rev. Fluid Mech., 28, 215–248, 1996. a
Molcard, A., Pinardi, N., Iskandarani, M., and Haidvogel, D.: Wind driven general circulation of the Mediterranean Sea simulated with a Spectral Element Ocean Model, Dynam. Atmos. Oceans, 35, 97–130, 2002. a
Pinardi, N., Zavatarelli, M., Adani, M., Coppini, G., Fratianni, C., Oddo, P., Simoncelli, S., Tonani, M., Lyubartsev, V., Dobricic, S., and Bonaduce, A.: Mediterranean Sea large-scale low-frequency ocean variability and water mass formation rates from 1987 to 2007: A retrospective analysis, Prog. Oceanogr., 132, 318–332, 2015. a
Pinardi, N., Cessi, P., Borile, F., and Wolfe, C. L.: The Mediterranean sea overturning circulation, J. Phys. Oceanogr., 49, 1699–1721, 2019. a
Robinson, A. R., Leslie, W. G., Theocharis, A., and Lascaratos, A.: Mediterranean sea circulation, Ocean currents, 2001, 1689–1705, https://doi.org/10.1006/rwos.2001.0376, 2001. a
Sérazin, G., Penduff, T., Grégorio, S., Barnier, B., Molines, J.-M., and Terray, L.: Intrinsic variability of sea level from global ocean simulations: Spatiotemporal scales, J. Climate, 28, 4279–4292, 2015. a
Soldatenko, S. and Yusupov, R.: Predictability in Deterministic Dynamical Systems with Application to Weather Forecasting and Climate Modelling, in: Dynamical Systems-Analytical and Computational Techniques, edited by: Reyhanoglu, M., p. 101, IntechOpen, https://doi.org/10.5772/66752, 2017. a
Solodoch, A., Barkan, R., Verma, V., Gildor, H., Toledo, Y., Khain, P., and Levi, Y.: Basin-Scale to Submesoscale Variability of the East Mediterranean Sea Upper Circulation, J. Phys. Oceanogr., 53, 2137–2158, 2023. a
Tang, S., von Storch, H., Chen, X., and Zhang, M.: “Noise” in climatologically driven ocean models with different grid resolution, Oceanologia, 61, 300–307, 2019. a
Trotta, F., Pinardi, N., Fenu, E., Grandi, A., and Lyubartsev, V.: Multi-nest high-resolution model of submesoscale circulation features in the Gulf of Taranto, Ocean Dynam., 67, 1609–1625, 2017. a
von Storch, H., von Storch, J.-S., and Müller, P.: Noise in the climate system–ubiquitous, constitutive and concealing, Mathematics Unlimited – 2001 and Beyond, Springer, Berlin, Heidelberg, 1179–1194, https://doi.org/10.1007/978-3-642-56478-9_62, 2001. a
Waldman, R., Herrmann, M., Somot, S., Arsouze, T., Benshila, R., Bosse, A., Chanut, J., Giordani, H., Sevault, F., and Testor, P.: Impact of the mesoscale dynamics on ocean deep convection: The 2012–2013 case study in the northwestern Mediterranean sea, J. Geophys. Res.-Oceans, 122, 8813–8840, 2017a. a
Waldman, R., Somot, S., Herrmann, M., Bosse, A., Caniaux, G., Estournel, C., Houpert, L., Prieur, L., Sevault, F., and Testor, P.: Modeling the intense 2012–2013 dense water formation event in the northwestern Mediterranean Sea: Evaluation with an ensemble simulation approach, J. Geophys. Res.-Oceans, 122, 1297–1324, 2017b. a
Waldman, R., Somot, S., Herrmann, M., Sevault, F., and Isachsen, P. E.: On the chaotic variability of deep convection in the Mediterranean Sea, Geophys. Res. Lett., 45, 2433–2443, 2018. a
Short summary
Ocean dynamics result from the interplay of internal processes and external inputs, primarily from the atmosphere. It is crucial to discern between these factors to gauge the ocean's intrinsic predictability and to be able to attribute a signal under study to either external factors or internal variability. Employing a simple analysis, we successfully characterized this variability in the Mediterranean Sea and compared it with the oceanic response induced by atmospheric conditions.
Ocean dynamics result from the interplay of internal processes and external inputs, primarily...
