Articles | Volume 18, issue 3
https://doi.org/10.5194/os-18-761-2022
© 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-18-761-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
01 Jun 2022
Review article |
| 01 Jun 2022
| 01 Jun 2022
Coastal high-frequency radars in the Mediterranean – Part 1: Status of operations and a framework for future development
Pablo Lorente
CORRESPONDING AUTHOR
Puertos del Estado, Área de Medio Físico, Madrid, 28042, Spain
NOLOGIN CONSULTING SL, Zaragoza, 50018, Spain
Eva Aguiar
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Palma, 07122, Spain
Michele Bendoni
Consorzio LaMMA, Sesto Fiorentino, 50019, Italy
Maristella Berta
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine
(ISMAR), Lerici, 19032, Italy
Carlo Brandini
Consorzio LaMMA, Sesto Fiorentino, 50019, Italy
Consiglio Nazionale delle Ricerche (CNR), Istituto per la Bioeconomia
(IBE), Sesto Fiorentino, 50019, Italy
Alejandro Cáceres-Euse
Mediterranean Institute of Oceanography, Université de Toulon, Aix
Marseille Univ, CNRS, IRD, MIO, Toulon, France
Fulvio Capodici
Università degli Studi di Palermo, Dipartimento di Ingegneria, 90128, Palermo, Italy
Daniela Cianelli
Stazione Zoologica Anton Dohrn, Naples, 80121, Italy
Consorzio Nazionale Interuniversitario per le Scienze del Mare
(CoNISMa), Rome, 00196, Italy
Giuseppe Ciraolo
Università degli Studi di Palermo, Dipartimento di Ingegneria, 90128, Palermo, Italy
Lorenzo Corgnati
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine
(ISMAR), Lerici, 19032, Italy
Vlado Dadić
Institute of Oceanography and Fisheries, Split, 21000, Croatia
Bartolomeo Doronzo
Consorzio LaMMA, Sesto Fiorentino, 50019, Italy
Consiglio Nazionale delle Ricerche (CNR), Istituto per la Bioeconomia
(IBE), Sesto Fiorentino, 50019, Italy
Aldo Drago
Physical Oceanography Research Group, University of Malta, Msida, MSD
2080, Malta
Dylan Dumas
Mediterranean Institute of Oceanography, Université de Toulon, Aix
Marseille Univ, CNRS, IRD, MIO, Toulon, France
Pierpaolo Falco
Universita' Politecnica delle Marche, DISVA, Ancona, 60121, Italy
Maria Fattorini
Consorzio LaMMA, Sesto Fiorentino, 50019, Italy
Consiglio Nazionale delle Ricerche (CNR), Istituto per la Bioeconomia
(IBE), Sesto Fiorentino, 50019, Italy
Adam Gauci
Physical Oceanography Research Group, University of Malta, Msida, MSD
2080, Malta
Roberto Gómez
Helzel Messtechnik GmbH, 24568 Kaltenkirchen, Germany
Annalisa Griffa
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine
(ISMAR), Lerici, 19032, Italy
Charles-Antoine Guérin
Mediterranean Institute of Oceanography, Université de Toulon, Aix
Marseille Univ, CNRS, IRD, MIO, Toulon, France
Ismael Hernández-Carrasco
Mediterranean Institute for Advanced Studies – IMEDEA – (CSIC-UIB),
Esporles, 07190, Spain
Jaime Hernández-Lasheras
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Palma, 07122, Spain
Matjaž Ličer
National Institute of Biology, Marine Biology Station, Piran, 6330,
Slovenia
Slovenian Environment Agency, Ljubljana, 1000, Slovenia
Marcello G. Magaldi
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine
(ISMAR), Lerici, 19032, Italy
Carlo Mantovani
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine
(ISMAR), Lerici, 19032, Italy
Hrvoje Mihanović
Institute of Oceanography and Fisheries, Split, 21000, Croatia
Anne Molcard
Mediterranean Institute of Oceanography, Université de Toulon, Aix
Marseille Univ, CNRS, IRD, MIO, Toulon, France
Baptiste Mourre
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Palma, 07122, Spain
Alejandro Orfila
Mediterranean Institute for Advanced Studies – IMEDEA – (CSIC-UIB),
Esporles, 07190, Spain
Adèle Révelard
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Palma, 07122, Spain
Emma Reyes
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Palma, 07122, Spain
Jorge Sánchez
Qualitas Instruments S.A., Madrid, 28043, Spain
Simona Saviano
Stazione Zoologica Anton Dohrn, Naples, 80121, Italy
Consorzio Nazionale Interuniversitario per le Scienze del Mare
(CoNISMa), Rome, 00196, Italy
Roberta Sciascia
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine
(ISMAR), Lerici, 19032, Italy
Stefano Taddei
Consorzio LaMMA, Sesto Fiorentino, 50019, Italy
Joaquín Tintoré
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Palma, 07122, Spain
Mediterranean Institute for Advanced Studies – IMEDEA – (CSIC-UIB),
Esporles, 07190, Spain
Yaron Toledo
School of Mechanical Engineering, Tel-Aviv University, Tel-Aviv,
6905904, Israel
Laura Ursella
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, OGS,
Sgonico TS, 34010, Italy
Marco Uttieri
Stazione Zoologica Anton Dohrn, Naples, 80121, Italy
Consorzio Nazionale Interuniversitario per le Scienze del Mare
(CoNISMa), Rome, 00196, Italy
Ivica Vilibić
Institute of Oceanography and Fisheries, Split, 21000, Croatia
Ruđer Bošković Institute, Division for Marine and
Environmental Research, Zagreb, 10000, Croatia
Enrico Zambianchi
Consorzio Nazionale Interuniversitario per le Scienze del Mare
(CoNISMa), Rome, 00196, Italy
Dipartimento di Scienze e Tecnologie (DiST), Parthenope University of
Naples, Naples, 80143, Italy
Vanessa Cardin
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, OGS,
Sgonico TS, 34010, Italy
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Nat. Hazards Earth Syst. Sci., 26, 709–731, https://doi.org/10.5194/nhess-26-709-2026, https://doi.org/10.5194/nhess-26-709-2026, 2026
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We studied how future climate scenarios may affect flooding in three European coastal cities. Using atmospheric data and an integrated modeling framework, we simulated extreme storm surges, waves, and river discharges at high urban resolution (up to 2 m). Flood trends are driven by local geomorphic features, sea-level rise, and storm intensity changes, providing insights for adaptation strategies.
Michele Bendoni, Andrew Michael Moore, Roberta Sciascia, Carlo Brandini, Katrin Schroeder, Mireno Borghini, and Marcello Gatimu Magaldi
Ocean Sci., 22, 281–303, https://doi.org/10.5194/os-22-281-2026, https://doi.org/10.5194/os-22-281-2026, 2026
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We use data assimilation (DA) to optimally merge information from observations of ocean variables and a numerical model of the north-western Mediterranean Sea. Data come from satellites, coastal high-frequency radars and fixed & movable devices. DA decreases model errors associated to all observed variables. The volume transport across the Corsica Channel, which connects the Tyrrhenian and Ligurian waters, is differently modified based on the typology and location of the assimilated observation.
Alex Nalivaev, Francesco d'Ovidio, Laurent Bopp, Maristella Berta, Louise Rousselet, Clara Azarian, and Stéphane Blain
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Maxime Duranson, Léo Berline, Loïc Guilloux, Alice Della Penna, Mark D. Ohman, Sven Gastauer, Cédric Cotte, Daniela Bănaru, Théo Garcia, Maristella Berta, Andrea Doglioli, Gérald Gregori, Francesco D'Ovidio, and François Carlotti
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The zooplankton community was investigated using net sampling across the North Balearic Front at fine resolution. The front mostly acts as a zonal boundary between communities with a copepod dominated community to the north and a more diversified community to the south. The front itself exhibited lower zooplankton concentrations. The main community difference occurred in the 0–100 m layer, while deeper layers were more homogeneous.
Sebastien Donnet, Helga S. Huntley, Maristella Berta, Luca Centurioni, Leo Middleton, Tamay Özgökmen, Pierre-Marie Poulain, Alex Kinsella, and Annalisa Griffa
Ocean Sci., 21, 3221–3240, https://doi.org/10.5194/os-21-3221-2025, https://doi.org/10.5194/os-21-3221-2025, 2025
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Laura Gómez-Navarro, Maxime Ballarotta, Diego Cortés-Morales, Marie-Isabelle Pujol, Laura Fortunato, Baptiste Mourre, and Ananda Pascual
State Planet Discuss., https://doi.org/10.5194/sp-2025-17, https://doi.org/10.5194/sp-2025-17, 2025
Preprint under review for SP
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Naomi Krauzig, Alessandro Coluccelli, Francesco Memmola, Pierluigi Penna, Fabrizio Moro, Enrico Zambianchi, and Pierpaolo Falco
State Planet Discuss., https://doi.org/10.5194/sp-2025-10, https://doi.org/10.5194/sp-2025-10, 2025
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Between 2023 and 2024, the northern Adriatic Sea experienced extreme surface freshening driven by storms, heavy rainfall and river flooding. Using high-frequency in-situ data, satellite imagery, and Copernicus Marine Service products, this study traces the evolution, causes, and ecological impacts of these events. Salinity dropped to 15 g/kg, triggering stratification, turbidity peaks, and algal blooms. Findings stress the need for integrating autonomous monitoring into operational services.
Davide Lombardo, Sofia Flora, Fabio Giordano, Emanuele Ingrassia, Milena Menna, Stefano Querin, and Laura Ursella
Ocean Sci., 21, 2197–2214, https://doi.org/10.5194/os-21-2197-2025, https://doi.org/10.5194/os-21-2197-2025, 2025
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This study analyses the extreme meteo-marine event of October–November 2023 in the Gulf of Trieste, characterised by southerly strong winds, heavy rainfall, and high river discharge. Using high-frequency radar data, wind records, and numerical models, we analysed the interactions between river discharge and wind-driven currents. Results show that strong river discharge can dominate coastal circulation and overlay the wind effects. This multi-platform approach provides valuable insights into ocean dynamics.
Pablo Lorente, Garbiñe Ayensa, Marta De Alfonso, Samuel Galán, Pilar Gil, Fernando Manzano, Anna Magdalena Matulka, Pedro Montero, Verónica Morales-Márquez, Begoña Pérez-Gómez, Cristina Pérez-Íñigo, Susana Pérez-Rubio, and María Isabel Ruiz
State Planet Discuss., https://doi.org/10.5194/sp-2025-5, https://doi.org/10.5194/sp-2025-5, 2025
Revised manuscript accepted for SP
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Storm Louis hit southwestern Europe in February 2024, causing major transport disruptions, power outages, and one death. Powerful winds and high waves struck two Spanish ports, with wave heights over 8 meters. Despite similar conditions offshore, the ports reacted differently due to their layouts. One saw long-lasting, moderate impacts, while the other faced a shorter, more intense event. The study highlights the need for better storm monitoring to protect coastal infrastructure.
Matjaž Zupančič Muc, Vitjan Zavrtanik, Alexander Barth, Aida Alvera-Azcarate, Matjaž Ličer, and Matej Kristan
Geosci. Model Dev., 18, 5549–5573, https://doi.org/10.5194/gmd-18-5549-2025, https://doi.org/10.5194/gmd-18-5549-2025, 2025
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Accurate sea surface temperature data (SST) are crucial for weather forecasting and climate modeling, but satellite observations are often incomplete. We developed a new method called CRITER, which uses machine learning to fill in the gaps in SST data. Our two-stage approach reconstructs large-scale patterns and refines details. Tested on Mediterranean, Adriatic, and Atlantic sea data, CRITER outperforms current methods, reducing errors by up to 44 %.
Sofia Flora, Laura Ursella, and Achim Wirth
Geosci. Model Dev., 18, 4685–4712, https://doi.org/10.5194/gmd-18-4685-2025, https://doi.org/10.5194/gmd-18-4685-2025, 2025
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We developed a hierarchy of idealized deterministic–stochastic models to simulate sea surface currents in the Gulf of Trieste. They include tide- and wind-driven sea surface current components, resolving the slowly varying part of the flow, and a stochastic signal, representing the fast-varying small-scale dynamics. The comparison with high-frequency radar observations shows that the non-Gaussian stochastic model captures key dynamics and mimics the observed fat-tailed probability distribution.
Susana Flecha, Mercedes de la Paz, Fiz Fernández Pérez, Núria Marbà, Carlos Morell, Eva Alou-Font, Joaquín Tintoré, and Iris E. Hendriks
Ocean Sci., 21, 1515–1532, https://doi.org/10.5194/os-21-1515-2025, https://doi.org/10.5194/os-21-1515-2025, 2025
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Nitrous oxide (N2O), a potent greenhouse gas, is understudied in coastal zones. We present N2O concentrations and air–sea fluxes from the Balearic coast (2018–2023). Concentrations varied slightly across sites, with areas acting as weak sources or being near equilibrium. Temperature was the main driver of seasonal changes. These findings improve our understanding of coastal N2O emissions.
Elena Terzić, Clara Gardiol, and Ivica Vilibić
Ocean Sci., 21, 1441–1459, https://doi.org/10.5194/os-21-1441-2025, https://doi.org/10.5194/os-21-1441-2025, 2025
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Vertical salinity profiles with their highest values at the surface layers – surface saline lakes – have been known to occur in the eastern Mediterranean, where strong evaporation, warm summers, and low winds all contribute to an increase in surface salinity. Our analysis of Argo data from the past 2 decades showed that saline lakes also occur in other regions across the Mediterranean Sea. This poses the question of whether such changes indicate a salinification of the entire basin due to climate change.
Amirhossein Barzandeh, Matjaž Ličer, Marko Rus, Matej Kristan, Ilja Maljutenko, Jüri Elken, Priidik Lagemaa, and Rivo Uiboupin
Ocean Sci., 21, 1315–1327, https://doi.org/10.5194/os-21-1315-2025, https://doi.org/10.5194/os-21-1315-2025, 2025
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We evaluated a deep-learning model, HIDRA2, for predicting sea levels along the Estonian coast and compared it to traditional numerical models. HIDRA2 performed better overall, offering faster forecasts and valuable uncertainty estimates using ensemble predictions.
Davide Bonaldo, Sandro Carniel, Renato R. Colucci, Cléa Denamiel, Petra Pranić, Fabio Raicich, Antonio Ricchi, Lorenzo Sangelantoni, Ivica Vilibić, and Maria Letizia Vitelletti
Ocean Sci., 21, 1003–1031, https://doi.org/10.5194/os-21-1003-2025, https://doi.org/10.5194/os-21-1003-2025, 2025
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We present a high-resolution modelling effort to investigate the possible end-of-century evolution of the main physical processes in the Adriatic Sea in a severe climate change scenario, with an ensemble approach (i.e. use of multiple simulations) allowing us to control the uncertainty of the predictions. Our model exhibits a satisfactory capability to reproduce the recent past and provides a basis for a set of multidisciplinary studies in this area over a multi-decadal horizon.
Giuseppe Aulicino, Antonino Ian Ferola, Laura Fortunato, Giorgio Budillon, Pasquale Castagno, Pierpaolo Falco, Giannetta Fusco, Naomi Krauzig, Giancarlo Spezie, Enrico Zambianchi, and Yuri Cotroneo
Earth Syst. Sci. Data, 17, 2625–2640, https://doi.org/10.5194/essd-17-2625-2025, https://doi.org/10.5194/essd-17-2625-2025, 2025
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This study presents 30 years of water temperature data from expendable bathythermograph (XBT) probes collected between Aotearoa / New Zealand and the Ross Sea (Antarctica). Gathered during research cruises by the Italian National Antarctic Research Program, the data were rigorously verified and corrected for depth and temperature bias. This dataset provides a valuable insight into the Southern Ocean's climate and enhances satellite observations and ocean models.
Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan
Geosci. Model Dev., 18, 605–620, https://doi.org/10.5194/gmd-18-605-2025, https://doi.org/10.5194/gmd-18-605-2025, 2025
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HIDRA3 is a deep-learning model for predicting sea levels and storm surges, offering significant improvements over previous models and numerical simulations. It utilizes data from multiple tide gauges, enhancing predictions even with limited historical data and during sensor outages. With its advanced architecture, HIDRA3 outperforms current state-of-the-art models by achieving a mean absolute error of up to 15 % lower, proving effective for coastal flood forecasting under diverse conditions.
Riccardo Martellucci, Michele Giani, Elena Mauri, Laurent Coppola, Melf Paulsen, Marine Fourrier, Sara Pensieri, Vanessa Cardin, Carlotta Dentico, Roberto Bozzano, Carolina Cantoni, Anna Lucchetta, Alfredo Izquierdo, Miguel Bruno, and Ingunn Skjelvan
Earth Syst. Sci. Data, 16, 5333–5356, https://doi.org/10.5194/essd-16-5333-2024, https://doi.org/10.5194/essd-16-5333-2024, 2024
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As part of the ATL2MED demonstration experiment, two autonomous surface vehicles undertook a 9-month mission from the northeastern Atlantic to the Adriatic Sea. Biofouling affected the measurement of variables such as conductivity and dissolved oxygen. COVID-19 limited the availability of discrete samples for validation. We present correction methods for salinity and dissolved oxygen. We use model products to correct salinity and apply the Argo floats in-air correction method for oxygen
Pablo Lorente, Marta de Alfonso, Pilar Gil, Fernando Manzano, Anna Magdalena Matulka, Begoña Pérez-Gómez, Susana Pérez-Rubio, and M. Isabel Ruiz
State Planet, 4-osr8, 19, https://doi.org/10.5194/sp-4-osr8-19-2024, https://doi.org/10.5194/sp-4-osr8-19-2024, 2024
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Over recent decades, extreme weather events have attracted growing public concern due to their widespread impact on the environment and human well-being. Their comprehensive monitoring is crucial to adopt prevention strategies and reduce coastal vulnerability. In this work, the record-breaking wave event that hit Melilla harbour (SW Mediterranean Sea) during early April 2022 was investigated to elucidate the meteorological drivers and evaluate the energetic response of Melilla harbour basins.
Peter Mlakar, Antonio Ricchi, Sandro Carniel, Davide Bonaldo, and Matjaž Ličer
Geosci. Model Dev., 17, 4705–4725, https://doi.org/10.5194/gmd-17-4705-2024, https://doi.org/10.5194/gmd-17-4705-2024, 2024
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We propose a new point-prediction model, the DEep Learning WAVe Emulating model (DELWAVE), which successfully emulates the Simulating WAves Nearshore model (SWAN) over synoptic to climate timescales. Compared to control climatology over all wind directions, the mismatch between DELWAVE and SWAN is generally small compared to the difference between scenario and control conditions, suggesting that the noise introduced by surrogate modelling is substantially weaker than the climate change signal.
Felipe L. L. Amorim, Julien Le Meur, Achim Wirth, and Vanessa Cardin
Ocean Sci., 20, 463–474, https://doi.org/10.5194/os-20-463-2024, https://doi.org/10.5194/os-20-463-2024, 2024
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Analysis of a high-frequency time series of thermohaline data measured at the EMSO-E2M3A regional facility in the southern Adriatic Pit (SAP) reveals a significant change in the double-diffusive regime in 2017 associated with the intrusion of extremely salty waters into the area, suggesting salt fingering as the dominant regime. The strong heat loss at the surface during this winter allowed deep convection to transport this high-salinity water from the intermediate to deep layers of the pit.
Alfio Marco Borzì, Vittorio Minio, Raphael De Plaen, Thomas Lecocq, Salvatore Alparone, Salvatore Aronica, Flavio Cannavò, Fulvio Capodici, Giuseppe Ciraolo, Sebastiano D'Amico, Danilo Contrafatto, Giuseppe Di Grazia, Ignazio Fontana, Giovanni Giacalone, Graziano Larocca, Carlo Lo Re, Giorgio Manno, Gabriele Nardone, Arianna Orasi, Marco Picone, Giovanni Scicchitano, and Andrea Cannata
Ocean Sci., 20, 1–20, https://doi.org/10.5194/os-20-1-2024, https://doi.org/10.5194/os-20-1-2024, 2024
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In this work, we study a Mediterranean cyclone that occurred in February 2023 and its relationship with a particular seismic signal called microseism. By integrating the data recorded by seismic stations, satellites, HF radar and wavemeter buoy we are able to obtain information about this event. We show how an innovative monitoring system of the Mediterranean cyclones can be designed by integrating microseism information with other techniques routinely used to study meteorological phenomena.
Pierre-Marie Poulain, Luca Centurioni, Carlo Brandini, Stefano Taddei, Maristella Berta, and Milena Menna
Ocean Sci., 19, 1617–1631, https://doi.org/10.5194/os-19-1617-2023, https://doi.org/10.5194/os-19-1617-2023, 2023
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Drifters and a profiling float were deployed in the coastal waters of the southeastern Ligurian Sea to characterize the near-surface circulation at a scale of ~10 km. The drifters were trapped in an offshore-flowing filament and a cyclonic eddy that developed at the southwestern extremity of the filament. Drifter velocities are used to estimate differential kinematic properties and relative dispersion statistics of the surface currents.
Sofia Flora, Laura Ursella, and Achim Wirth
Nonlin. Processes Geophys., 30, 515–525, https://doi.org/10.5194/npg-30-515-2023, https://doi.org/10.5194/npg-30-515-2023, 2023
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An increasing amount of data allows us to move from low-order moments of fluctuating observations to their PDFs. We found the analytical fat-tailed PDF form (a combination of Gaussian and two-exponential convolutions) for 2 years of sea surface current increments in the Gulf of Trieste, using superstatistics and the maximum-entropy principle twice: on short and longer timescales. The data from different wind regimes follow the same analytical PDF, pointing towards a universal behaviour.
Pablo Lorente, Anna Rubio, Emma Reyes, Lohitzune Solabarrieta, Silvia Piedracoba, Joaquín Tintoré, and Julien Mader
State Planet, 1-osr7, 8, https://doi.org/10.5194/sp-1-osr7-8-2023, https://doi.org/10.5194/sp-1-osr7-8-2023, 2023
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Upwelling is an important process that impacts water quality and aquaculture production in coastal areas. In this work we present a new methodology to monitor this phenomenon in two different regions by using surface current estimations provided by remote sensing technology called high-frequency radar.
Baptiste Mourre, Emma Reyes, Pablo Lorente, Alex Santana, Jaime Hernández-Lasheras, Ismael Hernández-Carrasco, Maximo García-Jove, and Nikolaos D. Zarokanellos
State Planet, 1-osr7, 15, https://doi.org/10.5194/sp-1-osr7-15-2023, https://doi.org/10.5194/sp-1-osr7-15-2023, 2023
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We characterize the signature of an intense storm-induced coastal upwelling along the north-western coast of the Balearic Islands in 2021 using a high-resolution operational prediction model. The upwelling, with a duration of 3 d and a spatial offshore extension of 20 km, led to cross-shore surface temperature differences of up to 6 °C. It was the most intense event of the past 9 years in terms of the impact on temperature and the second-most intense event in terms of cross-shore transports.
Gotzon Basterretxea, Joan S. Font-Muñoz, Ismael Hernández-Carrasco, and Sergio A. Sañudo-Wilhelmy
Ocean Sci., 19, 973–990, https://doi.org/10.5194/os-19-973-2023, https://doi.org/10.5194/os-19-973-2023, 2023
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We examine global ocean color data and modeling outputs of nutrients using SOM analysis to identify characteristic spatial and temporal patterns of HNLC regions and their association with different climate modes. HNLC regions in polar and subpolar areas have experienced an increase in phytoplankton biomass over the last decades, particularly in the Southern Ocean. Our study finds that chlorophyll variations in HNLC regions respond to major climate variability signals.
Rafael R. Torres, Estefanía Giraldo, Cristian Muñoz, Ana Caicedo, Ismael Hernández-Carrasco, and Alejandro Orfila
Ocean Sci., 19, 685–701, https://doi.org/10.5194/os-19-685-2023, https://doi.org/10.5194/os-19-685-2023, 2023
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A reverse seasonal ocean circulation in the Panama Bight has been assessed using 27 years of absolute dynamical topography. The mean circulation in the eastern tropical Pacific (east of 100° W) is analyzed from the mean dynamic topography (MDT) and a self-organizing-map analysis. Small differences are observed west of ~82° W. In the Panama Bight, MDT shows the cyclonic circulation when the Panama surface wind jet dominates the region. We assess ENSO effects on seasonal circulation.
Petra Pranić, Cléa Denamiel, Ivica Janeković, and Ivica Vilibić
Ocean Sci., 19, 649–670, https://doi.org/10.5194/os-19-649-2023, https://doi.org/10.5194/os-19-649-2023, 2023
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In this study, we analyse and compare the results of four different approaches in modelling bora-driven dense-water dynamics in the Adriatic. The study investigated the likely requirements for modelling the ocean circulation in the Adriatic and found that a 31-year run of a fine-resolution Adriatic climate model is able to outperform most aspects of the newest reanalysis product, a short-term hindcast and data-assimilated simulation, in reproducing the dense-water dynamics in the Adriatic Sea.
Cléa Denamiel and Ivica Vilibić
EGUsphere, https://doi.org/10.5194/egusphere-2023-913, https://doi.org/10.5194/egusphere-2023-913, 2023
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We present a new methodology using coupled atmosphere-ocean-wave models and demonstrate the feasibility to provide meter scale assessments of the impact of climate change on storm surge hazards. We show that sea level variations and distributions can be derived at the climate scale in the Adriatic Sea small lagoons and bays. We expect that the newly developed methodology could lead to more targeted adaptation strategies in regions of the world vulnerable to atmospherically driven extreme events.
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.
Carolina M. L. Camargo, Riccardo E. M. Riva, Tim H. J. Hermans, Eike M. Schütt, Marta Marcos, Ismael Hernandez-Carrasco, and Aimée B. A. Slangen
Ocean Sci., 19, 17–41, https://doi.org/10.5194/os-19-17-2023, https://doi.org/10.5194/os-19-17-2023, 2023
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Sea-level change is mainly caused by variations in the ocean’s temperature and salinity and land ice melting. Here, we quantify the contribution of the different drivers to the regional sea-level change. We apply machine learning techniques to identify regions that have similar sea-level variability. These regions reduce the observational uncertainty that has limited the regional sea-level budget so far and highlight how large-scale ocean circulation controls regional sea-level change.
Marko Rus, Anja Fettich, Matej Kristan, and Matjaž Ličer
Geosci. Model Dev., 16, 271–288, https://doi.org/10.5194/gmd-16-271-2023, https://doi.org/10.5194/gmd-16-271-2023, 2023
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We propose a new fast and reliable deep-learning architecture HIDRA2 for sea level and storm surge modeling. HIDRA2 features new feature encoders and a fusion-regression block. We test HIDRA2 on Adriatic storm surges, which depend on an interaction between tides and seiches. We demonstrate that HIDRA2 learns to effectively mimic the timing and amplitude of Adriatic seiches. This is essential for reliable HIDRA2 predictions of total storm surge sea levels.
Nydia Catalina Reyes Suárez, Valentina Tirelli, Laura Ursella, Matjaž Ličer, Massimo Celio, and Vanessa Cardin
Ocean Sci., 18, 1321–1337, https://doi.org/10.5194/os-18-1321-2022, https://doi.org/10.5194/os-18-1321-2022, 2022
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Explaining the dynamics of jellyfish blooms is a challenge for scientists. Biological and meteo-oceanographic data were combined on different timescales to explain the exceptional bloom of the jellyfish Rhizostoma pulmo in the Gulf of Trieste (Adriatic Sea) in April 2021. The bloom was associated with anomalously warm seasonal sea conditions. Then, a strong bora wind event enhanced upwelling and mixing of the water column, causing jellyfish to rise to the surface and accumulate along the coast.
Begoña Pérez Gómez, Ivica Vilibić, Jadranka Šepić, Iva Međugorac, Matjaž Ličer, Laurent Testut, Claire Fraboul, Marta Marcos, Hassen Abdellaoui, Enrique Álvarez Fanjul, Darko Barbalić, Benjamín Casas, Antonio Castaño-Tierno, Srđan Čupić, Aldo Drago, María Angeles Fraile, Daniele A. Galliano, Adam Gauci, Branislav Gloginja, Víctor Martín Guijarro, Maja Jeromel, Marcos Larrad Revuelto, Ayah Lazar, Ibrahim Haktan Keskin, Igor Medvedev, Abdelkader Menassri, Mohamed Aïssa Meslem, Hrvoje Mihanović, Sara Morucci, Dragos Niculescu, José Manuel Quijano de Benito, Josep Pascual, Atanas Palazov, Marco Picone, Fabio Raicich, Mohamed Said, Jordi Salat, Erdinc Sezen, Mehmet Simav, Georgios Sylaios, Elena Tel, Joaquín Tintoré, Klodian Zaimi, and George Zodiatis
Ocean Sci., 18, 997–1053, https://doi.org/10.5194/os-18-997-2022, https://doi.org/10.5194/os-18-997-2022, 2022
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This description and mapping of coastal sea level monitoring networks in the Mediterranean and Black seas reveals the existence of 240 presently operational tide gauges. Information is provided about the type of sensor, time sampling, data availability, and ancillary measurements. An assessment of the fit-for-purpose status of the network is also included, along with recommendations to mitigate existing bottlenecks and improve the network, in a context of sea level rise and increasing extremes.
Emma Reyes, Eva Aguiar, Michele Bendoni, Maristella Berta, Carlo Brandini, Alejandro Cáceres-Euse, Fulvio Capodici, Vanessa Cardin, Daniela Cianelli, Giuseppe Ciraolo, Lorenzo Corgnati, Vlado Dadić, Bartolomeo Doronzo, Aldo Drago, Dylan Dumas, Pierpaolo Falco, Maria Fattorini, Maria J. Fernandes, Adam Gauci, Roberto Gómez, Annalisa Griffa, Charles-Antoine Guérin, Ismael Hernández-Carrasco, Jaime Hernández-Lasheras, Matjaž Ličer, Pablo Lorente, Marcello G. Magaldi, Carlo Mantovani, Hrvoje Mihanović, Anne Molcard, Baptiste Mourre, Adèle Révelard, Catalina Reyes-Suárez, Simona Saviano, Roberta Sciascia, Stefano Taddei, Joaquín Tintoré, Yaron Toledo, Marco Uttieri, Ivica Vilibić, Enrico Zambianchi, and Alejandro Orfila
Ocean Sci., 18, 797–837, https://doi.org/10.5194/os-18-797-2022, https://doi.org/10.5194/os-18-797-2022, 2022
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This work reviews the existing advanced and emerging scientific and societal applications using HFR data, developed to address the major challenges identified in Mediterranean coastal waters organized around three main topics: maritime safety, extreme hazards and environmental transport processes. It also includes a discussion and preliminary assessment of the capabilities of existing HFR applications, finally providing a set of recommendations towards setting out future prospects.
Petra Pranić, Cléa Denamiel, and Ivica Vilibić
Geosci. Model Dev., 14, 5927–5955, https://doi.org/10.5194/gmd-14-5927-2021, https://doi.org/10.5194/gmd-14-5927-2021, 2021
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The Adriatic Sea and Coast model was developed due to the need for higher-resolution climate models and longer-term simulations to capture coastal atmospheric and ocean processes at climate scales in the Adriatic Sea. The ocean results of a 31-year-long simulation were compared to the observational data. The evaluation revealed that the model is capable of reproducing the observed physical properties with good accuracy and can be further used to study the dynamics of the Adriatic–Ionian basin.
Georg Umgiesser, Marco Bajo, Christian Ferrarin, Andrea Cucco, Piero Lionello, Davide Zanchettin, Alvise Papa, Alessandro Tosoni, Maurizio Ferla, Elisa Coraci, Sara Morucci, Franco Crosato, Andrea Bonometto, Andrea Valentini, Mirko Orlić, Ivan D. Haigh, Jacob Woge Nielsen, Xavier Bertin, André Bustorff Fortunato, Begoña Pérez Gómez, Enrique Alvarez Fanjul, Denis Paradis, Didier Jourdan, Audrey Pasquet, Baptiste Mourre, Joaquín Tintoré, and Robert J. Nicholls
Nat. Hazards Earth Syst. Sci., 21, 2679–2704, https://doi.org/10.5194/nhess-21-2679-2021, https://doi.org/10.5194/nhess-21-2679-2021, 2021
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The city of Venice relies crucially on a good storm surge forecast to protect its population and cultural heritage. In this paper, we provide a state-of-the-art review of storm surge forecasting, starting from examples in Europe and focusing on the Adriatic Sea and the Lagoon of Venice. We discuss the physics of storm surge, as well as the particular aspects of Venice and new techniques in storm surge modeling. We also give recommendations on what a future forecasting system should look like.
Jaime Hernandez-Lasheras, Baptiste Mourre, Alejandro Orfila, Alex Santana, Emma Reyes, and Joaquín Tintoré
Ocean Sci., 17, 1157–1175, https://doi.org/10.5194/os-17-1157-2021, https://doi.org/10.5194/os-17-1157-2021, 2021
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Correct surface ocean circulation forecasts are highly relevant to search and rescue, oil spills, and ecological processes, among other things. High-frequency radar (HFR) is a remote sensing technology that measures surface currents in coastal areas with high temporal and spatial resolution. We performed a series of experiments in which we use HFR observations from the Ibiza Channel to improve the forecasts provided by a regional ocean model in the western Mediterranean.
Petra Zemunik, Jadranka Šepić, Havu Pellikka, Leon Ćatipović, and Ivica Vilibić
Earth Syst. Sci. Data, 13, 4121–4132, https://doi.org/10.5194/essd-13-4121-2021, https://doi.org/10.5194/essd-13-4121-2021, 2021
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A new global dataset – MISELA (Minute Sea-Level Analysis) – has been developed and contains quality-checked sea-level records from 331 tide gauges worldwide for a period from 2004 to 2019. The dataset is appropriate for research on atmospherically induced high-frequency sea-level oscillations. Research on these oscillations is important, as they can, like all sea-level extremes, seriously threaten coastal zone infrastructure and populations.
Iva Tojčić, Cléa Denamiel, and Ivica Vilibić
Nat. Hazards Earth Syst. Sci., 21, 2427–2446, https://doi.org/10.5194/nhess-21-2427-2021, https://doi.org/10.5194/nhess-21-2427-2021, 2021
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This study quantifies the performance of the Croatian meteotsunami early warning system (CMeEWS) composed of a network of air pressure and sea level observations developed in order to help coastal communities prepare for extreme events. The system would have triggered the warnings for most of the observed events but also set off some false alarms if it was operational during the multi-meteotsunami event of 11–19 May 2020 in the eastern Adriatic. Further development of the system is planned.
Miroslav Gačić, Laura Ursella, Vedrana Kovačević, Milena Menna, Vlado Malačič, Manuel Bensi, Maria-Eletta Negretti, Vanessa Cardin, Mirko Orlić, Joël Sommeria, Ricardo Viana Barreto, Samuel Viboud, Thomas Valran, Boris Petelin, Giuseppe Siena, and Angelo Rubino
Ocean Sci., 17, 975–996, https://doi.org/10.5194/os-17-975-2021, https://doi.org/10.5194/os-17-975-2021, 2021
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Experiments in rotating tanks can simulate the Earth system and help to represent the real ocean, where rotation plays an important role. We wanted to show the minor importance of the wind in driving the flow in the Ionian Sea. We did this by observing changes in the water current in a rotating tank affected only by the pumping of dense water into the system. The flow variations were similar to those in the real sea, confirming the scarce importance of the wind for the flow in the Ionian Sea.
Cléa Denamiel, Petra Pranić, Damir Ivanković, Iva Tojčić, and Ivica Vilibić
Geosci. Model Dev., 14, 3995–4017, https://doi.org/10.5194/gmd-14-3995-2021, https://doi.org/10.5194/gmd-14-3995-2021, 2021
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The atmospheric results of the Adriatic Sea and Coast (AdriSC) climate simulation (1987–2017) are evaluated against available observational datasets in the Adriatic region. Generally, the AdriSC model performs better than regional climate models that have resolutions that are 4 times more coarse, except concerning summer temperatures, which are systematically underestimated. High-resolution climate models may thus provide new insights about the local impacts of global warming in the Adriatic.
Cited articles
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Short summary
High-frequency radar (HFR) is a land-based remote sensing technology that can provide maps of the surface circulation over broad coastal areas, along with wave and wind information. The main goal of this work is to showcase the current status of the Mediterranean HFR network as well as present and future applications of this sensor for societal benefit such as search and rescue operations, safe vessel navigation, tracking of marine pollutants, and the monitoring of extreme events.
High-frequency radar (HFR) is a land-based remote sensing technology that can provide maps of...
