Articles | Volume 18, issue 4
https://doi.org/10.5194/os-18-997-2022
© 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-18-997-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
15 Jul 2022
Review article |
| 15 Jul 2022
| 15 Jul 2022
Coastal sea level monitoring in the Mediterranean and Black seas
Begoña Pérez Gómez
CORRESPONDING AUTHOR
Puertos del Estado, Madrid, Spain
Ivica Vilibić
Ruđer Bošković Institute, Division for Marine and
Environmental Research, Zagreb, Croatia
Jadranka Šepić
Faculty of Science, University of Split, Split, Croatia
Iva Međugorac
Department of Geophysics, Faculty of Science, University of Zagreb, Zagreb, Croatia
Matjaž Ličer
Slovenian Environment Agency, Ljubljana, Slovenia
National Institute of Biology, Marine Biology Station, Piran,
Slovenia
Laurent Testut
LIENSs, CNRS – La Rochelle University, La Rochelle, France
Claire Fraboul
SHOM, Brest, France
Marta Marcos
Mediterranean Institute for Advanced Studies (IMEDEA, UIB-CSIC),
Esporles, Spain
Hassen Abdellaoui
National Institute of Cartography and Remote Sensing, Algiers, Algeria
Enrique Álvarez Fanjul
Puertos del Estado, Madrid, Spain
Darko Barbalić
Croatian Waters, Zagreb, Croatia
Benjamín Casas
SOCIB-Balearic Islands Coastal Ocean Observing and Forecasting
System, Palma, 07122, Spain
Antonio Castaño-Tierno
IEO-CSIC – Spanish Institute of Oceanography, Madrid, Spain
Srđan Čupić
Hydrographic Institute of the Republic of Croatia, Split, Croatia
Aldo Drago
Physical Oceanography Research Group, Department of Geosciences, University of Malta, Msida, Malta
María Angeles Fraile
National Geographic Institute, Madrid, Spain
Daniele A. Galliano
European Commission, Joint Research Centre, Ispra, Italy
Adam Gauci
Physical Oceanography Research Group, Department of Geosciences, University of Malta, Msida, Malta
Branislav Gloginja
Hydrometeorological and Seismological Service, Podgorica, Montenegro
Víctor Martín Guijarro
National Geographic Institute, Madrid, Spain
Maja Jeromel
Slovenian Environment Agency, Ljubljana, Slovenia
Marcos Larrad Revuelto
Spanish Hydrographic Office, Cádiz, Spain
Ayah Lazar
Israel Oceanographic and Limnological Research, Haifa, Israel
Ibrahim Haktan Keskin
Department of Geodesy, General Directorate of Mapping, Ankara,
Türkiye
Igor Medvedev
PP Shirshov Institute of Oceanology, Moscow, Russia
Abdelkader Menassri
National Institute of Cartography and Remote Sensing, Algiers, Algeria
Mohamed Aïssa Meslem
National Institute of Cartography and Remote Sensing, Algiers, Algeria
Hrvoje Mihanović
Institute of Oceanography and Fisheries, Split, Croatia
Sara Morucci
ISPRA – Istituto Superiore per la Protezione e la Ricerca Ambientale,
Rome, Italy
Dragos Niculescu
National Institute for Marine Research and Development “Grigore
Antipa”, Constanţa, Romania
José Manuel Quijano de Benito
Spanish Hydrographic Office, Cádiz, Spain
Josep Pascual
L'Estartit Meteorological Station, L'Estartit, Spain
Atanas Palazov
Institute of Oceanology, Bulgarian Academy of Sciences, Varna,
Bulgaria
Marco Picone
ISPRA – Istituto Superiore per la Protezione e la Ricerca Ambientale,
Rome, Italy
Fabio Raicich
CNR, Institute of Marine Sciences, Trieste, Italy
Mohamed Said
National Institute of Oceanography and Fisheries, Alexandria, Egypt
Jordi Salat
ICM-CSIC, Institute of Marine Sciences, Barcelona, Spain
Erdinc Sezen
Department of Geodesy, General Directorate of Mapping, Ankara,
Türkiye
Mehmet Simav
Department of Geodesy, General Directorate of Mapping, Ankara,
Türkiye
Georgios Sylaios
Department of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
Elena Tel
IEO-CSIC – Spanish Institute of Oceanography, Madrid, Spain
Joaquín Tintoré
SOCIB-Balearic Islands Coastal Ocean Observing and Forecasting
System, Palma, 07122, Spain
Klodian Zaimi
National Centre for Forecast and Monitoring of Natural Risks,
Polytechnic University of Tirana, Tirana, Albania
George Zodiatis
ORION Research, Nicosia, Cyprus
Institute of Applied and Computational Mathematics, Heraklion, Greece
Cyprus Oceanography Centre, University of Cyprus, Nicosia, Cyprus
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
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Revised manuscript accepted for ESSD
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This article is included in the Encyclopedia of Geosciences
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This article is included in the Encyclopedia of Geosciences
Angélique Melet, Roderik van de Wal, Angel Amores, Arne Arns, Alisée A. Chaigneau, Irina Dinu, Ivan D. Haigh, Tim H. J. Hermans, Piero Lionello, Marta Marcos, H. E. Markus Meier, Benoit Meyssignac, Matthew D. Palmer, Ronja Reese, Matthew J. R. Simpson, and Aimée B. A. Slangen
State Planet, 3-slre1, 4, https://doi.org/10.5194/sp-3-slre1-4-2024, https://doi.org/10.5194/sp-3-slre1-4-2024, 2024
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The EU Knowledge Hub on Sea Level Rise’s Assessment Report strives to synthesize the current scientific knowledge on sea level rise and its impacts across local, national, and EU scales to support evidence-based policy and decision-making, primarily targeting coastal areas. This paper complements IPCC reports by documenting the state of knowledge of observed and 21st century projected changes in mean and extreme sea levels with more regional information for EU seas as scoped with stakeholders.
This article is included in the Encyclopedia of Geosciences
Alexander Bisaro, Giulia Galluccio, Elisa Fiorini Beckhauser, Fulvio Biddau, Ruben David, Floortje d'Hont, Antonio Góngora Zurro, Gonéri Le Cozannet, Sadie McEvoy, Begoña Pérez Gómez, Claudia Romagnoli, Eugenio Sini, and Jill Slinger
State Planet, 3-slre1, 7, https://doi.org/10.5194/sp-3-slre1-7-2024, https://doi.org/10.5194/sp-3-slre1-7-2024, 2024
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This paper assesses coastal adaptation governance by examining socio-economic and political contexts, reviewing policy frameworks, and identifying challenges. Results show that regional and basin-scale frameworks lack sea level rise provisions, but significant national progress is observed. The main governance challenges are time horizons and uncertainty, coordination, and social vulnerability. These, however, can be addressed if flexible planning and nature-based solutions are implemented.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Nil Carrion-Bertran, Albert Falqués, Francesca Ribas, Daniel Calvete, Rinse de Swart, Ruth Durán, Candela Marco-Peretó, Marta Marcos, Angel Amores, Tim Toomey, Àngels Fernández-Mora, and Jorge Guillén
Earth Surf. Dynam., 12, 819–839, https://doi.org/10.5194/esurf-12-819-2024, https://doi.org/10.5194/esurf-12-819-2024, 2024
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The sensitivity to the wave and sea-level forcing sources in predicting a 6-month embayed beach evolution is assessed using two different morphodynamic models. After a successful model calibration using in situ data, other sources are applied. The wave source choice is critical: hindcast data provide wrong results due to an angle bias, whilst the correct dynamics are recovered with the wave conditions from an offshore buoy. The use of different sea-level sources gives no significant differences.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Krešimir Ruić, Jadranka Šepić, and Marin Vojković
EGUsphere, https://doi.org/10.5194/egusphere-2024-1601, https://doi.org/10.5194/egusphere-2024-1601, 2024
Preprint withdrawn
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Identifying the driving processes of intense sea-level (SL) oscillations has been the goal of many scientific endeavors. Our study focuses on intense SL oscillations in the Adriatic Sea resulting from atmospheric processes. Using machine learning methods, we identified several synoptic situations during which these oscillations occur. This can aid future predictions of extreme SL events, potentially reducing infrastructure damage and protecting lives.
This article is included in the Encyclopedia of Geosciences
Nir Haim, Vika Grigorieva, Rotem Soffer, Boaz Mayzel, Timor Katz, Ronen Alkalay, Eli Biton, Ayah Lazar, Hezi Gildor, Ilana Berman-Frank, Yishai Weinstein, Barak Herut, and Yaron Toledo
Earth Syst. Sci. Data, 16, 2659–2668, https://doi.org/10.5194/essd-16-2659-2024, https://doi.org/10.5194/essd-16-2659-2024, 2024
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This paper outlines the process of creating an open-access surface wave dataset, drawing from deep-sea research station observations located 50 km off the coast of Israel. The discussion covers the wave monitoring procedure, from instrument configuration to wave field retrieval, and aspects of quality assurance. The dataset presented spans over 5 years, offering uncommon in situ wave measurements in the deep sea, and addresses the existing gap in wave information within the region.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Md Jamal Uddin Khan, Inge Van Den Beld, Guy Wöppelmann, Laurent Testut, Alexa Latapy, and Nicolas Pouvreau
Earth Syst. Sci. Data, 15, 5739–5753, https://doi.org/10.5194/essd-15-5739-2023, https://doi.org/10.5194/essd-15-5739-2023, 2023
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Established in the southwest of France in 1875, the Socoa tide gauge is part of the national sea level monitoring network in France. Through a data archaeology exercise, a large part of the records of this gauge in paper format have been rescued and digitized. The digitized data were processed and quality controlled to produce a uniform hourly sea level time series covering 1875 to the present day. This new dataset is important for climate research on sea level rise, tides, and storm surges.
This article is included in the Encyclopedia of Geosciences
Jue Lin-Ye, Begoña Pérez Gómez, Alejandro Gallardo, Fernando Manzano, Marta de Alfonso, Elizabeth Bradshaw, and Angela Hibbert
Ocean Sci., 19, 1743–1751, https://doi.org/10.5194/os-19-1743-2023, https://doi.org/10.5194/os-19-1743-2023, 2023
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The historical sea level measurements in the Copernicus Marine Service have been machine flagged and visually inspected. The existing software for the near-real-time product has been adapted. The new product was launched in November of 2022 and is readily available to the general public.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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
Clémence Chupin, Valérie Ballu, Laurent Testut, Yann-Treden Tranchant, and Jérôme Aucan
Ocean Sci., 19, 1277–1314, https://doi.org/10.5194/os-19-1277-2023, https://doi.org/10.5194/os-19-1277-2023, 2023
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Reducing uncertainties in coastal sea level trend estimates requires a better understanding of altimeter measurements and local sea level dynamics. Using long-term sea level time series from the Nouméa tide gauge (New Caledonia) and in situ data collected as part of the GEOCEAN-NC campaign, this study presents a method inspired from Cal/Val studies to re-analyse about 20 years of altimetry observations and re-address the question of sea level evolution in the lagoon.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Cléa Denamiel and Ivica Vilibić
EGUsphere, https://doi.org/10.5194/egusphere-2023-913, https://doi.org/10.5194/egusphere-2023-913, 2023
Preprint archived
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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.
This article is included in the Encyclopedia of Geosciences
Ekaterina Didenkulova, Ira Didenkulova, and Igor Medvedev
Nat. Hazards Earth Syst. Sci., 23, 1653–1663, https://doi.org/10.5194/nhess-23-1653-2023, https://doi.org/10.5194/nhess-23-1653-2023, 2023
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The paper is dedicated to freak wave accidents which happened in the world ocean in 2005–2021 and that were described in mass media sources. The database accounts for 429 events, all of which resulted in ship or coastal and offshore structure damage and/or human losses. In agreement with each freak wave event, we put background wave and wind conditions extracted from the climate reanalysis ERA5. We analyse their statistics and discuss the favourable conditions for freak wave occurrence.
This article is included in the Encyclopedia of Geosciences
Víctor Malagón-Santos, Aimée B. A. Slangen, Tim H. J. Hermans, Sönke Dangendorf, Marta Marcos, and Nicola Maher
Ocean Sci., 19, 499–515, https://doi.org/10.5194/os-19-499-2023, https://doi.org/10.5194/os-19-499-2023, 2023
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Climate change will alter heat and freshwater fluxes as well as ocean circulation, driving local changes in sea level. This sea-level change component is known as ocean dynamic sea level (DSL), and it is usually projected using computationally expensive global climate models. Statistical models are a cheaper alternative for projecting DSL but may contain significant errors. Here, we partly remove those errors (driven by internal climate variability) by using pattern recognition techniques.
This article is included in the Encyclopedia of Geosciences
Fabio Raicich
Earth Syst. Sci. Data, 15, 1749–1763, https://doi.org/10.5194/essd-15-1749-2023, https://doi.org/10.5194/essd-15-1749-2023, 2023
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In the changing climate, long sea level time series are essential for studying the variability of the mean sea level and the occurrence of extreme events on different timescales. This work summarizes the rescue and quality control of the ultra-centennial sea level data set of Trieste, Italy. The whole time series is characterized by a linear trend of about 1.4 mm yr−1, the period corresponding to the altimetry coverage by a trend of about 3.0 mm yr−1, similarly to the global ocean.
This article is included in the Encyclopedia of Geosciences
Ariadna Martín, Angel Amores, Alejandro Orfila, Tim Toomey, and Marta Marcos
Nat. Hazards Earth Syst. Sci., 23, 587–600, https://doi.org/10.5194/nhess-23-587-2023, https://doi.org/10.5194/nhess-23-587-2023, 2023
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Tropical cyclones (TCs) are among the potentially most hazardous phenomena affecting the coasts of the Caribbean Sea. This work simulates the coastal hazards in terms of sea surface elevation and waves that originate through the passage of these events. A set of 1000 TCs have been simulated, obtained from a set of synthetic cyclones that are consistent with present-day climate. Given the large number of hurricanes used, robust values of extreme sea levels and waves are computed along the coasts.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Damiano Baldan, Elisa Coraci, Franco Crosato, Maurizio Ferla, Andrea Bonometto, and Sara Morucci
Nat. Hazards Earth Syst. Sci., 22, 3663–3677, https://doi.org/10.5194/nhess-22-3663-2022, https://doi.org/10.5194/nhess-22-3663-2022, 2022
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Extreme-event analysis is widely used to provide information for the design of coastal protection structures. Non-stationarity due to sea level rise can affect such estimates. Using different methods on a long time series of sea level data, we show that estimates of the magnitude of extreme events in the future can be inexact due to relative sea level rise. Thus, considering non-stationarity is important when analyzing extreme-sea-level events.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Md Jamal Uddin Khan, Fabien Durand, Kerry Emanuel, Yann Krien, Laurent Testut, and A. K. M. Saiful Islam
Nat. Hazards Earth Syst. Sci., 22, 2359–2379, https://doi.org/10.5194/nhess-22-2359-2022, https://doi.org/10.5194/nhess-22-2359-2022, 2022
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Cyclonic storm surges constitute a major threat to lives and properties along the vast coastline of the Bengal delta. From a combination of cyclone and storm surge modelling, we present a robust probabilistic estimate of the storm surge flooding hazard under the current climate. The estimated extreme water levels vary regionally, and the inland flooding is strongly controlled by the embankments. More than 1/10 of the coastal population is currently exposed to 50-year return period flooding.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Pablo Lorente, Eva Aguiar, Michele Bendoni, Maristella Berta, Carlo Brandini, Alejandro Cáceres-Euse, Fulvio Capodici, Daniela Cianelli, Giuseppe Ciraolo, Lorenzo Corgnati, Vlado Dadić, Bartolomeo Doronzo, Aldo Drago, Dylan Dumas, Pierpaolo Falco, Maria Fattorini, Adam Gauci, Roberto Gómez, Annalisa Griffa, Charles-Antoine Guérin, Ismael Hernández-Carrasco, Jaime Hernández-Lasheras, Matjaž Ličer, Marcello G. Magaldi, Carlo Mantovani, Hrvoje Mihanović, Anne Molcard, Baptiste Mourre, Alejandro Orfila, Adèle Révelard, Emma Reyes, Jorge Sánchez, Simona Saviano, Roberta Sciascia, Stefano Taddei, Joaquín Tintoré, Yaron Toledo, Laura Ursella, Marco Uttieri, Ivica Vilibić, Enrico Zambianchi, and Vanessa Cardin
Ocean Sci., 18, 761–795, https://doi.org/10.5194/os-18-761-2022, https://doi.org/10.5194/os-18-761-2022, 2022
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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.
This article is included in the Encyclopedia of Geosciences
Natalia Belkin, Tamar Guy-Haim, Maxim Rubin-Blum, Ayah Lazar, Guy Sisma-Ventura, Rainer Kiko, Arseniy R. Morov, Tal Ozer, Isaac Gertman, Barak Herut, and Eyal Rahav
Ocean Sci., 18, 693–715, https://doi.org/10.5194/os-18-693-2022, https://doi.org/10.5194/os-18-693-2022, 2022
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We studied how distinct water circulations that elevate (cyclone) or descend (anticyclone) water from the upper ocean affect the biomass, activity and diversity of planktonic microorganisms in the impoverished eastern Mediterranean. We show that cyclonic and anticyclonic eddies differ in their community composition and production. Moreover, the anticyclone may be a potential bio-invasion and dispersal vector, while the cyclone may serve as a thermal refugee for native species.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Alexandre Barboni, Ayah Lazar, Alexandre Stegner, and Evangelos Moschos
Ocean Sci., 17, 1231–1250, https://doi.org/10.5194/os-17-1231-2021, https://doi.org/10.5194/os-17-1231-2021, 2021
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Mesoscale eddies are an important part of the turbulent motion in the oceans, constituting coherent structures that can live for years and store physical property anomalies. Analysis of anticyclone (clockwise-rotating eddies) tracks in the eastern Levantine Basin revealed statistical patterns over 19 years of data, in particular the presence of an anticyclone attractor above the Eratosthenes Seamount, with a strong heat content signature.
This article is included in the Encyclopedia of Geosciences
Davide Zanchettin, Sara Bruni, Fabio Raicich, Piero Lionello, Fanny Adloff, Alexey Androsov, Fabrizio Antonioli, Vincenzo Artale, Eugenio Carminati, Christian Ferrarin, Vera Fofonova, Robert J. Nicholls, Sara Rubinetti, Angelo Rubino, Gianmaria Sannino, Giorgio Spada, Rémi Thiéblemont, Michael Tsimplis, Georg Umgiesser, Stefano Vignudelli, Guy Wöppelmann, and Susanna Zerbini
Nat. Hazards Earth Syst. Sci., 21, 2643–2678, https://doi.org/10.5194/nhess-21-2643-2021, https://doi.org/10.5194/nhess-21-2643-2021, 2021
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Relative sea level in Venice rose by about 2.5 mm/year in the past 150 years due to the combined effect of subsidence and mean sea-level rise. We estimate the likely range of mean sea-level rise in Venice by 2100 due to climate changes to be between about 10 and 110 cm, with an improbable yet possible high-end scenario of about 170 cm. Projections of subsidence are not available, but historical evidence demonstrates that they can increase the hazard posed by climatically induced sea-level rise.
This article is included in the Encyclopedia of Geosciences
Piero Lionello, David Barriopedro, Christian Ferrarin, Robert J. Nicholls, Mirko Orlić, Fabio Raicich, Marco Reale, Georg Umgiesser, Michalis Vousdoukas, and Davide Zanchettin
Nat. Hazards Earth Syst. Sci., 21, 2705–2731, https://doi.org/10.5194/nhess-21-2705-2021, https://doi.org/10.5194/nhess-21-2705-2021, 2021
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In this review we describe the factors leading to the extreme water heights producing the floods of Venice. We discuss the different contributions, their relative importance, and the resulting compound events. We highlight the role of relative sea level rise and the observed past and very likely future increase in extreme water heights, showing that they might be up to 160 % higher at the end of the 21st century than presently.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Md. Jamal Uddin Khan, Fabien Durand, Xavier Bertin, Laurent Testut, Yann Krien, A. K. M. Saiful Islam, Marc Pezerat, and Sazzad Hossain
Nat. Hazards Earth Syst. Sci., 21, 2523–2541, https://doi.org/10.5194/nhess-21-2523-2021, https://doi.org/10.5194/nhess-21-2523-2021, 2021
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The Bay of Bengal is well known for some of the deadliest cyclones in history. At the same time, storm surge forecasting in this region is physically involved and computationally costly. Here we show a proof of concept of a real-time, computationally efficient, and physically consistent forecasting system with an application to the recent Supercyclone Amphan. While challenges remain, our study paves the path forward to the improvement of the quality of localized forecast and disaster management.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Fabio Raicich and Renato R. Colucci
Earth Syst. Sci. Data, 13, 3363–3377, https://doi.org/10.5194/essd-13-3363-2021, https://doi.org/10.5194/essd-13-3363-2021, 2021
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To understand climate change, it is essential to analyse long time series of atmospheric data. Here we studied the atmospheric pressure observed at Trieste (Italy) from 1841 to 2018. We examined the available information on the characteristics and elevations of the barometers and on the data sampling. A basic data quality control was also applied. As a result, we built a homogeneous time series of daily mean pressures at mean sea level, from which a trend of 0.5 hPa per century was estimated.
This article is included in the Encyclopedia of Geosciences
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.
This article is included in the Encyclopedia of Geosciences
Lojze Žust, Anja Fettich, Matej Kristan, and Matjaž Ličer
Geosci. Model Dev., 14, 2057–2074, https://doi.org/10.5194/gmd-14-2057-2021, https://doi.org/10.5194/gmd-14-2057-2021, 2021
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Adriatic basin sea level modelling is a challenging problem due to the interplay between terrain, weather, tides and seiches. Current state-of-the-art numerical models (e.g. NEMO) require large computational resources to produce reliable forecasts. In this study we propose HIDRA, a novel deep learning approach for sea level modeling, which drastically reduces the numerical cost while demonstrating predictive capabilities comparable to that of the NEMO model, outperforming it in many instances.
This article is included in the Encyclopedia of Geosciences
Verónica Morales-Márquez, Alejandro Orfila, Gonzalo Simarro, and Marta Marcos
Ocean Sci., 16, 1385–1398, https://doi.org/10.5194/os-16-1385-2020, https://doi.org/10.5194/os-16-1385-2020, 2020
Short summary
Short summary
This is a study of long-term changes in extreme waves and in the synoptic patterns related to them on European coasts. The interannual variability of extreme waves in the North Atlantic Ocean is controlled by the atmospheric patterns of the North Atlantic Oscillation and Scandinavian indices. In the Mediterranean Sea, it is governed by the East Atlantic and East Atlantic/Western Russia modes acting strongly during their negative phases.
This article is included in the Encyclopedia of Geosciences
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Short summary
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.
This description and mapping of coastal sea level monitoring networks in the Mediterranean and...
