Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Oct 2022
Research article |
| 19 Oct 2022
| 19 Oct 2022
Wind-wave characteristics and extremes along the Emilia-Romagna coast
Umesh Pranavam Ayyappan Pillai
CORRESPONDING AUTHOR
Department of Physics and Astronomy, University of Bologna, Bologna, 40127, Italy
Nadia Pinardi
Department of Physics and Astronomy, University of Bologna, Bologna, 40127, Italy
Ivan Federico
Euro-Mediterranean Center on Climate Change, Lecce, 73100, Italy
Salvatore Causio
Euro-Mediterranean Center on Climate Change, Lecce, 73100, Italy
Francesco Trotta
Department of Physics and Astronomy, University of Bologna, Bologna, 40127, Italy
Silvia Unguendoli
Hydro-Meteo-Climate Service of the Agency for Prevention, Environment and Energy of Emilia-Romagna, Arpae-SIMC, Bologna, 40122, Italy
Andrea Valentini
Hydro-Meteo-Climate Service of the Agency for Prevention, Environment and Energy of Emilia-Romagna, Arpae-SIMC, Bologna, 40122, Italy
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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.
Roberta Benincasa, Giovanni Liguori, Nadia Pinardi, and Hans von Storch
EGUsphere, https://doi.org/10.5194/egusphere-2023-3076, https://doi.org/10.5194/egusphere-2023-3076, 2024
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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.
José A. Jiménez, Antonio Bonaduce, Michael Depuydt, Giulia Galluccio, Bart van den Hirk, H. E. Markus Meier, Nadia Pinardi, Lavinia G. Pomarico, Natalia Vazquez Riveiros, and Gundula Winter
State Planet Discuss., https://doi.org/10.5194/sp-2023-34, https://doi.org/10.5194/sp-2023-34, 2023
Preprint under review for SP
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The European 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, emerging problems like saltwater intrusion and ineffective adaptation plans. The need for improved communication to make better decisions on SLR adaptation was highlighted.
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.
Bethany McDonagh, Emanuela Clementi, Anna Chiara Goglio, and Nadia Pinardi
EGUsphere, https://doi.org/10.5194/egusphere-2023-2251, https://doi.org/10.5194/egusphere-2023-2251, 2023
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Tides in the Mediterranean Sea are typically of low amplitude, but twin experiments using numerical models with and without tides demonstrates that tides affect the circulation on temporal and spatial scales away from those of the tides directly. Tides enhance existing oscillations, and increase the upper layer salinity. Tides are also found to increase the mixed layer depth and enhance dense water formation in key regions. Internal tides are found to be widespread in the Mediterranean Sea.
Leonardo Lima, Salvatore Causio, Mehmet Ilicak, Ronan McAdam, and Eric Jansen
State Planet Discuss., https://doi.org/10.5194/sp-2023-19, https://doi.org/10.5194/sp-2023-19, 2023
Revised manuscript not accepted
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Recent studies have revealed an increase in the ocean temperature and heat content in the Black Sea, where the research on marine heat waves (MHWs) is still incipient. Our study reveals long-lasting MHWs and interesting connections between surface and subsurface MHWs in the Black Sea. Our analysis is a starting point to create a monitoring system of MHWs for the Black Sea.
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.
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.
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.
Christian Ferrarin, Andrea Valentini, Martin Vodopivec, Dijana Klaric, Giovanni Massaro, Marco Bajo, Francesca De Pascalis, Amedeo Fadini, Michol Ghezzo, Stefano Menegon, Lidia Bressan, Silvia Unguendoli, Anja Fettich, Jure Jerman, Matjaz̆ Ličer, Lidija Fustar, Alvise Papa, and Enrico Carraro
Nat. Hazards Earth Syst. Sci., 20, 73–93, https://doi.org/10.5194/nhess-20-73-2020, https://doi.org/10.5194/nhess-20-73-2020, 2020
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Here we present a shared and interoperable system to allow a better exchange of and elaboration on information related to sea storms among countries. The proposed integrated web system (IWS) is a combination of a common data system for sharing ocean observations and forecasts, a multi-model ensemble system, a geoportal, and interactive geo-visualization tools. This study describes the application of the developed system to the exceptional storm event of 29 October 2018.
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.
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).
Lidia Bressan, Andrea Valentini, Tiziana Paccagnella, Andrea Montani, Chiara Marsigli, and Maria Stefania Tesini
Adv. Sci. Res., 14, 77–84, https://doi.org/10.5194/asr-14-77-2017, https://doi.org/10.5194/asr-14-77-2017, 2017
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This study presents the sensitivity of an oceanic model of the Adriatic Sea to the horizontal resolution and to the meteorological forcing. The model is run with two different configurations and with two horizontal grids at 1 and 2 km resolution. To study the influence of the meteorological forcing, the two storms have been reproduced by running ROMS in ensemble mode. Possible optimizations of the model set-up are deduced by the comparison of the different run outputs.
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.
Maria Gabriella Gaeta, Achilleas G. Samaras, Ivan Federico, Renata Archetti, Francesco Maicu, and Giuliano Lorenzetti
Nat. Hazards Earth Syst. Sci., 16, 2071–2083, https://doi.org/10.5194/nhess-16-2071-2016, https://doi.org/10.5194/nhess-16-2071-2016, 2016
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The present work describes an operational strategy for the development of a multiscale modeling system, based on a multiple–nesting approach and open–source numerical models. The strategy was applied and validated for the Gulf of Taranto in southern Italy, scaling large–scale oceanographic model results to high–resolution coupled-wave 3-D hydrodynamics simulations for the area of Mar Grande in Taranto. The spatial and temporal high-resolution simulations were performed using the open source.
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.
M. D. Harley, A. Valentini, C. Armaroli, L. Perini, L. Calabrese, and P. Ciavola
Nat. Hazards Earth Syst. Sci., 16, 209–222, https://doi.org/10.5194/nhess-16-209-2016, https://doi.org/10.5194/nhess-16-209-2016, 2016
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The performance of a state-of-the-art early-warning system for the coastline of Emilia-Romagna in northern Italy is rigorously assessed with regards to a major storm event that occurred in October 2012. It is found that such a system has great potential as a new tool for coastal management, following several improvements to the forecast model chain. What-if scenarios in terms of the construction of artificial dunes prior to this event suggest that this may have helped minimize storm impacts.
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
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Recent storms in the UK, like Storm Ciara in 2020, show how vulnerable estuaries are to the combined effect of sea level and river discharge. We show the combinations of sea levels and river discharges that cause flooding in the Conwy estuary, N Wales. The results showed flooding was amplified under moderate conditions in the middle estuary and elsewhere sea state or river flow dominated the hazard. Combined sea and river thresholds can improve prediction and early warning of compound flooding.
Shuaib Rasheed, Simon C. Warder, Yves Plancherel, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 24, 737–755, https://doi.org/10.5194/nhess-24-737-2024, https://doi.org/10.5194/nhess-24-737-2024, 2024
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Here we use a high-resolution bathymetry dataset of the Maldives archipelago, as well as corresponding high numerical model resolution, to carry out a scenario-based tsunami hazard assessment for the entire Maldives archipelago to investigate the potential impact of plausible far-field tsunamis across the Indian Ocean at the island scale. The results indicate that several factors contribute to mitigating and amplifying tsunami waves at the island scale.
Niels J. Korsgaard, Kristian Svennevig, Anne S. Søndergaard, Gregor Luetzenburg, Mimmi Oksman, and Nicolaj K. Larsen
Nat. Hazards Earth Syst. Sci., 24, 757–772, https://doi.org/10.5194/nhess-24-757-2024, https://doi.org/10.5194/nhess-24-757-2024, 2024
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A tsunami wave will leave evidence of erosion and deposition in coastal lakes, making it possible to determine the runup height and when it occurred. Here, we use four lakes now located at elevations of 19–91 m a.s.l. close to the settlement of Saqqaq, West Greenland, to show that at least two giant tsunamis occurred 7300–7600 years ago with runup heights larger than 40 m. We infer that any tsunamis from at least nine giga-scale landslides must have happened 8500–10 000 years ago.
Elke Magda Inge Meyer and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 24, 481–499, https://doi.org/10.5194/nhess-24-481-2024, https://doi.org/10.5194/nhess-24-481-2024, 2024
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Storm tides for eight extreme historical storms in the German Bight are modelled using sets of slightly varying atmospheric conditions from the century reanalyses. Comparisons with the water level observations from the gauges Norderney, Cuxhaven and Husum show that single members of the reanalyses are suitable for the reconstruction of extreme storms. Storms with more northerly tracks show less variability within a set and have more potential for accurate reconstruction of extreme water levels.
Clare Lewis, Tim Smyth, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 24, 121–131, https://doi.org/10.5194/nhess-24-121-2024, https://doi.org/10.5194/nhess-24-121-2024, 2024
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Meteotsunami are the result of atmospheric disturbances and can impact coastlines causing injury, loss of life, and damage to assets. This paper introduces a novel intensity index to allow for the quantification of these events at the shoreline. This has the potential to assist in the field of natural hazard assessment. It was trialled in the UK but designed for global applicability and to become a widely accepted standard in coastal planning, meteotsunami forecasting, and early warning systems.
Chu-En Hsu, Katherine A. Serafin, Xiao Yu, Christie A. Hegermiller, John C. Warner, and Maitane Olabarrieta
Nat. Hazards Earth Syst. Sci., 23, 3895–3912, https://doi.org/10.5194/nhess-23-3895-2023, https://doi.org/10.5194/nhess-23-3895-2023, 2023
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Total water levels (TWLs) induced by tropical cyclones (TCs) are among the leading hazards faced by coastal communities. Using numerical models, we examined how TWL components (surge and wave runup) along the South Atlantic Bight varied during hurricanes Matthew (2016), Dorian (2019), and Isaias (2020). Peak surge and peak wave runup were dominated by wind speeds and relative positions to TCs. The exceedance time of TWLs was controlled by normalized distances to TC and TC translation speeds.
Maude Biguenet, Eric Chaumillon, Pierre Sabatier, Antoine Bastien, Emeline Geba, Fabien Arnaud, Thibault Coulombier, and Nathalie Feuillet
Nat. Hazards Earth Syst. Sci., 23, 3761–3788, https://doi.org/10.5194/nhess-23-3761-2023, https://doi.org/10.5194/nhess-23-3761-2023, 2023
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This work documents the impact of Hurricane Irma (2017) on the Codrington barrier and lagoon on Barbuda Island. Irma caused two wide breaches in the sandy barrier, which remained unopened for 250 years. The thick and extensive sand sheet at the top of the lagoon fill was attributed to Irma. This unique deposit in a 3700-year record confirms Irma's exceptional character. This case study illustrates the consequences of high-intensity hurricanes in low-lying islands in a global warming context.
Leigh Richard MacPherson, Arne Arns, Svenja Fischer, Fernando Javier Méndez, and Jürgen Jensen
Nat. Hazards Earth Syst. Sci., 23, 3685–3701, https://doi.org/10.5194/nhess-23-3685-2023, https://doi.org/10.5194/nhess-23-3685-2023, 2023
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Efficient adaptation planning for coastal flooding caused by extreme sea levels requires accurate assessments of the underlying hazard. Tide-gauge data alone are often insufficient for providing the desired accuracy but may be supplemented with historical information. We estimate extreme sea levels along the German Baltic coast and show that relying solely on tide-gauge data leads to underestimations. Incorporating historical information leads to improved estimates with reduced uncertainties.
Anne Margaret H. Smiley, Suzanne P. Thompson, Nathan S. Hall, and Michael F. Piehler
Nat. Hazards Earth Syst. Sci., 23, 3635–3649, https://doi.org/10.5194/nhess-23-3635-2023, https://doi.org/10.5194/nhess-23-3635-2023, 2023
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Floodwaters can deliver reactive nitrogen to sensitive aquatic systems and diminish water quality. We assessed the nitrogen removal capabilities of flooded habitats and urban landscapes. Differences in processing rates across land cover treatments and between nutrient treatments suggest that abundance and spatial distributions of habitats, as well as storm characteristics, influence landscape-scale nitrogen removal. Results have important implications for coastal development and climate change.
Marine Le Gal, Tomás Fernández-Montblanc, Enrico Duo, Juan Montes Perez, Paulo Cabrita, Paola Souto Ceccon, Véra Gastal, Paolo Ciavola, and Clara Armaroli
Nat. Hazards Earth Syst. Sci., 23, 3585–3602, https://doi.org/10.5194/nhess-23-3585-2023, https://doi.org/10.5194/nhess-23-3585-2023, 2023
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Assessing coastal hazards is crucial to mitigate flooding disasters. In this regard, coastal flood databases are valuable tools. This paper describes a new coastal flood map catalogue covering the entire European coastline, as well as the methodology to build it and its accuracy. The catalogue focuses on frequent extreme events and relies on synthetic scenarios estimated from local storm conditions. Flood-prone areas and regions sensitive to storm duration and water level peak were identified.
Neng-Ti Yu, Cheng-Hao Lu, I-Chin Yen, Jia-Hong Chen, Jiun-Yee Yen, and Shyh-Jeng Chyi
Nat. Hazards Earth Syst. Sci., 23, 3525–3542, https://doi.org/10.5194/nhess-23-3525-2023, https://doi.org/10.5194/nhess-23-3525-2023, 2023
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A paleotsunami deposit of cliff-top basalt debris was identified on the Penghu Islands in the southern Taiwan Strait and related to the 1661 earthquake in southwest Taiwan. A minimum wave height of 3.2 m is estimated to have rotated the biggest boulder for over 30 m landwards onto the cliff top at 2.5 m a.s.l. The event must have been huge compared to the 1994 M 6.4 earthquake with the ensuing 0.4 m high tsunami in the same area, validating the intimidating tsunami risks in the South China Sea.
Ye Yuan, Huaiwei Yang, Fujiang Yu, Yi Gao, Benxia Li, and Chuang Xing
Nat. Hazards Earth Syst. Sci., 23, 3487–3507, https://doi.org/10.5194/nhess-23-3487-2023, https://doi.org/10.5194/nhess-23-3487-2023, 2023
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Rip currents are narrow jets of offshore-directed flow that originated in the surf zone, which can take swimmers of all ability levels into deeper water unawares. In this study, a 1 m fine-resolution wave-resolving model was configured to study rip current variability and the optimal swimmer escape strategies. Multiple factors contribute to the survival of swimmers. However, for weak-to-moderate rip and longshore currents, swimming onshore consistently seems to be the most successful strategy.
Benedikt Mester, Thomas Vogt, Seth Bryant, Christian Otto, Katja Frieler, and Jacob Schewe
Nat. Hazards Earth Syst. Sci., 23, 3467–3485, https://doi.org/10.5194/nhess-23-3467-2023, https://doi.org/10.5194/nhess-23-3467-2023, 2023
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In 2019, Cyclone Idai displaced more than 478 000 people in Mozambique. In our study, we use coastal flood modeling and satellite imagery to construct a counterfactual cyclone event without the effects of climate change. We show that 12 600–14 900 displacements can be attributed to sea level rise and the intensification of storm wind speeds due to global warming. Our impact attribution study is the first one on human displacement and one of very few for a low-income country.
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-176, https://doi.org/10.5194/nhess-2023-176, 2023
Preprint under review for NHESS
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Both extreme river discharge and storm surges can interact at the coast and lead to flooding. However, it is difficult to predict flood levels during such compound events because they are rare and complex. Here, we focus on the quantification of uncertainties; and we investigate the sources of limitations while carrying out such analyses at Halmstad city (Sweden). Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
Olivier Cavalié, Frédéric Cappa, and Béatrice Pinel-Puysségur
Nat. Hazards Earth Syst. Sci., 23, 3235–3246, https://doi.org/10.5194/nhess-23-3235-2023, https://doi.org/10.5194/nhess-23-3235-2023, 2023
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Coastal areas are fragile ecosystems that face multiple hazards. In this study, we measured the downward motion of the Nice Côte d'Azur Airport (France) that was built on reclaimed area and found that it has subsided from 16 mm yr-1 in the 1990s to 8 mm yr-1 today. A continuous remote monitoring of the platform will provide key data for a detailed investigation of future subsidence maps, and this contribution will help to evaluate the potential failure of part of the airport platform.
Wagner L. L. Costa, Karin R. Bryan, and Giovanni Coco
Nat. Hazards Earth Syst. Sci., 23, 3125–3146, https://doi.org/10.5194/nhess-23-3125-2023, https://doi.org/10.5194/nhess-23-3125-2023, 2023
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For predicting flooding events at the coast, topo-bathymetric data are essential. However, elevation data can be unavailable. To tackle this issue, recent efforts have centred on the use of satellite-derived topography (SDT) and bathymetry (SDB). This work is aimed at evaluating their accuracy and use for flooding prediction in enclosed estuaries. Results show that the use of SDT and SDB in numerical modelling can produce similar predictions when compared to the surveyed elevation data.
Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 23, 2961–2985, https://doi.org/10.5194/nhess-23-2961-2023, https://doi.org/10.5194/nhess-23-2961-2023, 2023
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Among the Baltic Sea littoral states, Germany is anticipated to experience considerable damage as a result of increased coastal flooding due to sea-level rise (SLR). Here we apply a new modelling framework to simulate how flooding along the German Baltic Sea coast may change until 2100 if dikes are not upgraded. We find that the study region is highly exposed to flooding, and we emphasise the importance of current plans to update coastal protection in the future.
Zhang Haixia, Cheng Meng, and Fang Weihua
Nat. Hazards Earth Syst. Sci., 23, 2697–2717, https://doi.org/10.5194/nhess-23-2697-2023, https://doi.org/10.5194/nhess-23-2697-2023, 2023
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Simultaneous storm surge and waves can cause great damage due to cascading effects. Quantitative joint probability analysis is critical to determine their optimal protection design values. The joint probability of the surge and wave for the eastern coasts of Leizhou Peninsula and Hainan are estimated with a Gumbel copula based on 62 years of numerically simulated data, and the optimal design values under various joint return periods are derived using the non-linear programming method.
Clare Lewis, Tim Smyth, David Williams, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 23, 2531–2546, https://doi.org/10.5194/nhess-23-2531-2023, https://doi.org/10.5194/nhess-23-2531-2023, 2023
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Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous research has suggested that in the UK, meteotsunami are a rare phenomenon and tend to occur in the summer months. This article presents a revised and updated catalogue of 98 meteotsunami that occurred between 1750 and 2022. Results also demonstrate a larger percentage of winter events and a geographical pattern highlighting the
hotspotregions that experience these events.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, Joël J.-M. Hirschi, Robert J. Nicholls, and Nadia Bloemendaal
Nat. Hazards Earth Syst. Sci., 23, 2475–2504, https://doi.org/10.5194/nhess-23-2475-2023, https://doi.org/10.5194/nhess-23-2475-2023, 2023
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We used a novel database of simulated tropical cyclone tracks to explore whether typhoon-induced storm surges present a future flood risk to low-lying coastal communities around the South China Sea. We found that future climate change is likely to change tropical cyclone behaviour to an extent that this increases the severity and frequency of storm surges to Vietnam, southern China, and Thailand. Consequently, coastal flood defences need to be reviewed for resilience against this future hazard.
Sang-Guk Yum, Moon-Soo Song, and Manik Das Adhikari
Nat. Hazards Earth Syst. Sci., 23, 2449–2474, https://doi.org/10.5194/nhess-23-2449-2023, https://doi.org/10.5194/nhess-23-2449-2023, 2023
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This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast. Wetland vegetation was severely impacted by Typhoon Soulik, with 87.35 % of shoreline transects experiencing seaward migration. This result highlights the fact that sediment resuspension controls the land alteration process over the typhoon period. The land accretion process dominated during the pre- to post-typhoon periods.
Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson
Nat. Hazards Earth Syst. Sci., 23, 2403–2418, https://doi.org/10.5194/nhess-23-2403-2023, https://doi.org/10.5194/nhess-23-2403-2023, 2023
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We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-102, https://doi.org/10.5194/nhess-2023-102, 2023
Revised manuscript accepted for NHESS
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We study the relationship between tracks of low-pressure systems and related sea level extremes. We perform the studies by introducing a method to simulate sea levels using synthetic low-pressure systems. We test the method using sites located along the Baltic Sea coast. We find high extremes, where the sea level extreme reach up to 3.5 meters. In addition that, we add the maximal value of the mean level of the Baltic Sea (1 m) leading to sea level of 4.5 meters.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
EGUsphere, https://doi.org/10.5194/egusphere-2023-1365, https://doi.org/10.5194/egusphere-2023-1365, 2023
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Two numerical codes are used in a comparative analysis of the calculation of the tsunami wave due to an earthquake along the Peruvian coast. The comparison primarily evaluates the flow velocity fields in flooded areas. The relative importance of the various parts of the equations is determined, focusing on the nonlinear terms. The influence of the nonlinearity on the degree and volume of flooding, flow velocity and small-scale fluctuations is determined.
Christian Ferrarin, Florian Pantillon, Silvio Davolio, Marco Bajo, Mario Marcello Miglietta, Elenio Avolio, Diego S. Carrió, Ioannis Pytharoulis, Claudio Sanchez, Platon Patlakas, Juan Jesús González-Alemán, and Emmanouil Flaounas
Nat. Hazards Earth Syst. Sci., 23, 2273–2287, https://doi.org/10.5194/nhess-23-2273-2023, https://doi.org/10.5194/nhess-23-2273-2023, 2023
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The combined use of meteorological and ocean models enabled the analysis of extreme sea conditions driven by Medicane Ianos, which hit the western coast of Greece on 18 September 2020, flooding and damaging the coast. The large spread associated with the ensemble highlighted the high model uncertainty in simulating such an extreme weather event. The different simulations have been used for outlining hazard scenarios that represent a fundamental component of the coastal risk assessment.
Charline Dalinghaus, Giovanni Coco, and Pablo Higuera
Nat. Hazards Earth Syst. Sci., 23, 2157–2169, https://doi.org/10.5194/nhess-23-2157-2023, https://doi.org/10.5194/nhess-23-2157-2023, 2023
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Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Ina Teutsch, Markus Brühl, Ralf Weisse, and Sander Wahls
Nat. Hazards Earth Syst. Sci., 23, 2053–2073, https://doi.org/10.5194/nhess-23-2053-2023, https://doi.org/10.5194/nhess-23-2053-2023, 2023
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Rogue waves exceed twice the significant wave height. They occur more often than expected in the shallow waters off Norderney. When applying a nonlinear Fourier transform for the Korteweg–de Vries equation to wave data from Norderney, we found differences in the soliton spectra of time series with and without rogue waves. A strongly outstanding soliton in the spectrum indicated an enhanced probability for rogue waves. We could attribute spectral solitons to the measured rogue waves.
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023, https://doi.org/10.5194/nhess-23-1967-2023, 2023
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High seawater levels co-occurring with high river discharges have the potential to cause destructive flooding. For the past decades, the number of such compound events was larger than expected by pure chance for most of the west-facing coasts in Europe. Additionally rivers with smaller catchments showed higher numbers. In most cases, such events were associated with a large-scale weather pattern characterized by westerly winds and strong rainfall.
Alexander Böhme, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci., 23, 1947–1966, https://doi.org/10.5194/nhess-23-1947-2023, https://doi.org/10.5194/nhess-23-1947-2023, 2023
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External surges in the North Sea are caused by low-pressure cells travelling over the northeast Atlantic. They influence extreme water levels on the German coast and have to be considered in the design process of coastal defence structures. This study collects data about external surges from 1995–2020 and analyses their causes, behaviours and potential trends. External surges often occur less than 72 h apart, enabling a single storm surge to be influenced by more than one external surge.
Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada
Nat. Hazards Earth Syst. Sci., 23, 1891–1909, https://doi.org/10.5194/nhess-23-1891-2023, https://doi.org/10.5194/nhess-23-1891-2023, 2023
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This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
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Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Elin Andrée, Jian Su, Morten Andreas Dahl Larsen, Martin Drews, Martin Stendel, and Kristine Skovgaard Madsen
Nat. Hazards Earth Syst. Sci., 23, 1817–1834, https://doi.org/10.5194/nhess-23-1817-2023, https://doi.org/10.5194/nhess-23-1817-2023, 2023
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When natural processes interact, they may compound each other. The combined effect can amplify extreme sea levels, such as when a storm occurs at a time when the water level is already higher than usual. We used numerical modelling of a record-breaking storm surge in 1872 to show that other prior sea-level conditions could have further worsened the outcome. Our research highlights the need to consider the physical context of extreme sea levels in measures to reduce coastal flood risk.
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.
Havu Pellikka, Milla M. Johansson, Maaria Nordman, and Kimmo Ruosteenoja
Nat. Hazards Earth Syst. Sci., 23, 1613–1630, https://doi.org/10.5194/nhess-23-1613-2023, https://doi.org/10.5194/nhess-23-1613-2023, 2023
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We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
Carlos Corela, Afonso Loureiro, José Luis Duarte, Luis Matias, Tiago Rebelo, and Tiago Bartolomeu
Nat. Hazards Earth Syst. Sci., 23, 1433–1451, https://doi.org/10.5194/nhess-23-1433-2023, https://doi.org/10.5194/nhess-23-1433-2023, 2023
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We show that ocean-bottom seismometers are controlled by bottom currents, but these are not always a function of the tidal forcing. Instead we suggest that the ocean bottom has a flow regime resulting from two possible contributions: the permanent low-frequency bottom current and the tidal current along the full tidal cycle, between neap and spring tides. In the short-period noise band the ocean current generates harmonic tremors that corrupt the dataset records.
Chen Chen, Charles Koll, Haizhong Wang, and Michael K. Lindell
Nat. Hazards Earth Syst. Sci., 23, 733–749, https://doi.org/10.5194/nhess-23-733-2023, https://doi.org/10.5194/nhess-23-733-2023, 2023
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This paper uses empirical-data-based simulation to analyze how to evacuate efficiently from disasters. We find that departure delay time and evacuation decision have significant impacts on evacuation results. Evacuation results are more sensitive to walking speed, departure delay time, evacuation participation, and destinations than to other variables. This model can help authorities to prioritize resources for hazard education, community disaster preparedness, and resilience plans.
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.
An-Chi Cheng, Anawat Suppasri, Kwanchai Pakoksung, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 23, 447–479, https://doi.org/10.5194/nhess-23-447-2023, https://doi.org/10.5194/nhess-23-447-2023, 2023
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Consecutive earthquakes occurred offshore of southern Taiwan on 26 December 2006. This event revealed unusual tsunami generation and propagation, as well as unexpected consequences for the southern Taiwanese coast (i.e., amplified waves and prolonged durations). This study aims to elucidate the source characteristics of the 2006 tsunami and the important behaviors responsible for tsunami hazards in Taiwan such as wave trapping and shelf resonance.
Jean Roger, Bernard Pelletier, Aditya Gusman, William Power, Xiaoming Wang, David Burbidge, and Maxime Duphil
Nat. Hazards Earth Syst. Sci., 23, 393–414, https://doi.org/10.5194/nhess-23-393-2023, https://doi.org/10.5194/nhess-23-393-2023, 2023
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On 10 February 2021 a magnitude 7.7 earthquake occurring at the southernmost part of the Vanuatu subduction zone triggered a regional tsunami that was recorded on many coastal gauges and DART stations of the south-west Pacific region. Beginning with a review of the tectonic setup and its implication in terms of tsunami generation in the region, this study aims to show our ability to reproduce a small tsunami with different types of rupture models and to discuss a larger magnitude 8.2 scenario.
Kathrin Wahle, Emil V. Stanev, and Joanna Staneva
Nat. Hazards Earth Syst. Sci., 23, 415–428, https://doi.org/10.5194/nhess-23-415-2023, https://doi.org/10.5194/nhess-23-415-2023, 2023
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Knowledge of what causes maximum water levels is often key in coastal management. Processes, such as storm surge and atmospheric forcing, alter the predicted tide. Whilst most of these processes are modeled in present-day ocean forecasting, there is still a need for a better understanding of situations where modeled and observed water levels deviate from each other. Here, we will use machine learning to detect such anomalies within a network of sea-level observations in the North Sea.
Chuan Li, H. Tuba Özkan-Haller, Gabriel García Medina, Robert A. Holman, Peter Ruggiero, Treena M. Jensen, David B. Elson, and William R. Schneider
Nat. Hazards Earth Syst. Sci., 23, 107–126, https://doi.org/10.5194/nhess-23-107-2023, https://doi.org/10.5194/nhess-23-107-2023, 2023
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In this work, we examine a set of observed extreme, non-earthquake-related and non-landslide-related wave runup events. Runup events with similar characteristics have previously been attributed to trapped waves, atmospheric disturbances, and abrupt breaking of long waves. However, we find that none of these mechanisms were likely at work in the observations we examined. We show that instead, these runup events were more likely due to energetic growth of bound infragravity waves.
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-284, https://doi.org/10.5194/nhess-2022-284, 2023
Revised manuscript accepted for NHESS
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Current levels of coastal flood risk are projected to increase in coming decades due to various reasons, e.g., sea-level rise, land subsidence, and coastal urbanisation; action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on the global scale to estimate what level of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo
Nat. Hazards Earth Syst. Sci., 23, 127–138, https://doi.org/10.5194/nhess-23-127-2023, https://doi.org/10.5194/nhess-23-127-2023, 2023
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This study proposes a quantitative method for the determination of warning water levels. The proposed method is a multidimensional scale, centered on the consideration of various factors that characterize various coastlines. The implications of our study are not only scientific, as we provide a method for water level determination that is rooted in the scientific method (and reproducible across various contexts beyond China), but they are also deeply practical.
Jaap H. Nienhuis, Jana R. Cox, Joey O'Dell, Douglas A. Edmonds, and Paolo Scussolini
Nat. Hazards Earth Syst. Sci., 22, 4087–4101, https://doi.org/10.5194/nhess-22-4087-2022, https://doi.org/10.5194/nhess-22-4087-2022, 2022
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Humans build levees to protect themselves against floods. We need to know where they are to correctly predict flooding, for example from sea level rise. Here we have looked through documents to find levees, and checked that they exist using satellite imagery. We developed a global levee map, available at www.opendelve.eu, and we found that 24 % of people in deltas are protected by levees.
Alec Torres-Freyermuth, Gabriela Medellín, Jorge A. Kurczyn, Roger Pacheco-Castro, Jaime Arriaga, Christian M. Appendini, María Eugenia Allende-Arandía, Juan A. Gómez, Gemma L. Franklin, and Jorge Zavala-Hidalgo
Nat. Hazards Earth Syst. Sci., 22, 4063–4085, https://doi.org/10.5194/nhess-22-4063-2022, https://doi.org/10.5194/nhess-22-4063-2022, 2022
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Barrier islands in tropical regions are prone to coastal flooding and erosion during hurricane events. The Yucatán coast was impacted by hurricanes Gamma and Delta. Inner shelf, coastal, and inland observations were acquired. Beach morphology changes show alongshore gradients. Flooding occurred on the back barrier due to heavy inland rain and the coastal aquifer's confinement. Modeling systems failed to reproduce the coastal hydrodynamic response due to uncertainties in the boundary conditions.
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, and Roshanka Ranasinghe
Nat. Hazards Earth Syst. Sci., 22, 3897–3915, https://doi.org/10.5194/nhess-22-3897-2022, https://doi.org/10.5194/nhess-22-3897-2022, 2022
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Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
María Teresa Pedrosa-González, José Manuel González-Vida, Jesús Galindo-Záldivar, Sergio Ortega, Manuel Jesús Castro, David Casas, and Gemma Ercilla
Nat. Hazards Earth Syst. Sci., 22, 3839–3858, https://doi.org/10.5194/nhess-22-3839-2022, https://doi.org/10.5194/nhess-22-3839-2022, 2022
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The L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) model of the tsunami triggered by the Storfjorden LS-1 landslide provides new insights into the sliding mechanism and bathymetry controlling the propagation, amplitude values and shoaling effects as well as coastal impact times. This case study provides new perspectives on tsunami hazard assessment in polar margins, where global climatic change and its related ocean warming may contribute to landslide trigger.
Cuneyt Yavuz, Kutay Yilmaz, and Gorkem Onder
Nat. Hazards Earth Syst. Sci., 22, 3725–3736, https://doi.org/10.5194/nhess-22-3725-2022, https://doi.org/10.5194/nhess-22-3725-2022, 2022
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Even if the coincidence of flood and tsunami hazards may be experienced once in a blue moon, it should also be investigated due to the uncertainty of the time of occurrence of these natural hazards. The objective of this study is to reveal a statistical methodology to evaluate the aggregate potential hazard levels due to flood hazards with the presence of earthquake-triggered tsunamis. The proposed methodology is applied to Fethiye city, located on the Western Mediterranean coast of Turkey.
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.
Jeremy Rohmer, Deborah Idier, Remi Thieblemont, Goneri Le Cozannet, and François Bachoc
Nat. Hazards Earth Syst. Sci., 22, 3167–3182, https://doi.org/10.5194/nhess-22-3167-2022, https://doi.org/10.5194/nhess-22-3167-2022, 2022
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We quantify the influence of wave–wind characteristics, offshore water level and sea level rise (projected up to 2200) on the occurrence of flooding events at Gâvres, French Atlantic coast. Our results outline the overwhelming influence of sea level rise over time compared to the others. By showing the robustness of our conclusions to the errors in the estimation procedure, our approach proves to be valuable for exploring and characterizing uncertainties in assessments of future flooding.
Cited articles
Aguirre, C., Rutllant, J. A., and Falvey, M.: Wind waves climatology of the
Southeast Pacific Ocean, Int. J. Climatol., 37, 4288–4301, 2017.
Akpinar, A. and Komurcu, M. I.: Assessment of wave energy resource of the
Black Sea based on 15-year numerical hindcast data, Appl. Energy, 101,
502–512, 2013.
Amarouche, K., Bingölbali, B., and Akpinar, A.: New wind-wave climate
records in the Western Mediterranean Sea, Clim. Dynam., 58, 1899–1922, 2022.
Ardhuin, F., O'Reilly, W. C., Herbers, T. H. C., and Jessen, P. F.: Swell
Transformation across the Continental Shelf. Part I: Attenuation and
Directional Broadening, J. Phys. Oceanogr., 33, 1921–1939, 2003.
Ardhuin, F., Bertotti, L., Bidlot, J. R., Cavaleri, L., Filipetto, V.,
Lefevre, J. M., and Wittmann, P.: Comparison of wind and wave measurements
and models in the western Mediterranean Sea, Ocean Eng., 34, 526–541, 2007.
Ardhuin, F., Rogers, W. E., Babanin, A. V., Filipot, J., Magne, R., Roland,
A., van der Westhuysen, A., Queffeulou, P., Lefevre, J., Aouf, L., and
Collard, F.: Semiempirical dissipation source functions for ocean waves.
Part I: Definition, calibration, and validation, J. Phys. Oceanogr., 40,
1917–1941, 2010.
Arkhipkin, V. S., Gippius, F. N., Koltermann, K. P., and Surkova, G. V.: Wind waves in the Black Sea: results of a hindcast study, Nat. Hazards Earth Syst. Sci., 14, 2883–2897, https://doi.org/10.5194/nhess-14-2883-2014, 2014.
Armaroli, C. and Duo, E.: Validation of the coastal storm risk assessment
framework along the emilia-romagna coast, Coast. Eng., 134, 159–167, 2018.
Armaroli, C., Ciavola, P., Masina, M., and Perini, L.: Run-up computation
behind emerged breakwaters for marine storm risk assessment, J. Coast. Res.,
56, 1612–1616, 2009.
Armaroli, C., Ciavola, P., Perini, L., Calabrese, L., Lorito, S., Valentini,
A., and Masina, M.: Critical storm thresholds for significant morphological
changes and damage along the Emilia-Romagna coastline, Italy, Geomorphology,
143–144, 34–51, 2012.
Armaroli, C., Duo, E., and Viavattene, C.: From Hazard to Consequences:
Evaluation of Direct and Indirect Impacts of Flooding Along the Emilia-Romagna Coastline, Italy, Front. Earth Sci., 7, 203, https://doi.org/10.3389/feart.2019.00203, 2019.
Babanin, A. V.: Breaking and dissipation of ocean surface waves, Cambridge
University Press, 480 pp., ISBN 9780511736162, https://doi.org/10.1017/CBO9780511736162., 2011.
Barbariol, F., Davison, S., Falcieri, F. M., Ferretti, R., Ricchi, A., Sclavo, M., and Benetazzo, A.: Wind Waves in the Mediterranean Sea: An ERA5
Reanalysis Wind-Based Climatology, Front. Mar. Sci., 8, 760614, https://doi.org/10.3389/fmars.2021.760614, 2021.
Battjes, J. A. and Janssen, J. P. F. M.: Energy loss and set-up due to
breaking of random waves, in: 16th International Conference on Coastal Engineering, 27 August–3 September 1978, Hamburg, Germany, 569–587,
https://doi.org/10.1061/9780872621909.034, 1978.
Benetazzo, A., Francesco, B., Paolo, P., Staneva, J., Behrens, A., Davison,
S., Bergamasco, F., Sclavo, M., and Cavaleri, L.: Towards a unified framework for extreme sea waves from spectral models: rationale and applications, Ocean Eng., 219, 108263, https://doi.org/10.1016/j.oceaneng.2020.108263, 2021.
Bertotti, L., Canestrelli, P., Cavaleri, L., Pastore, F., and Zampato, L.: The Henetus wave forecast system in the Adriatic Sea, Nat. Hazards Earth Syst. Sci., 11, 2965–2979, https://doi.org/10.5194/nhess-11-2965-2011, 2011.
Bertotti, L., Cavaleri, L., Loffredo, L., and Torrisi, L.: Nettuno: Analysis
of a Wind and Wave Forecast System for the Mediterranean Sea, Mon. Weather
Rev., 141, 3130–3141, 2013.
Biolchi, L. G., Unguendoli, S., Bressan, L., and Valentini, A.: Recent
developments in the forecasting chain at Arpae-Simc for the Emilia-Romagna
(Northeast Italy) coastal areas, in: 9th EuroGOOS International conference,
Shom, Ifremer, EuroGOOS AISBL, May 2021, Brest, France, hal-03328370, 2021.
Biolchi, L. G., Unguendoli, S., Bressan, L., Giambastiani, B. M. S., and Valentini, A.: Ensemble technique application to an XBeach-based coastal Early Warning System for the Northwest Adriatic Sea (Emilia-Romagna region, Italy), Coast. Eng., 173, 104081, https://doi.org/10.1016/j.coastaleng.2022.104081, 2022.
Bonaldo, D., Bucchignani, E., Ricchi, A., and Carniel, S.: Wind storminess
in the Adriatic Sea in a climate change scenario, Acta Adriat., 58, 195–208, 2017.
Bosserelle, C., Pattiaratchi, C., and Haigh, I.: Inter-annual variability
and longer-term changes in the wave climate of western Australia between
1970 and 2009, Ocean Dynam., 62, 63–76, 2012.
Carter, D. J. T., Foale, S., and Webb, D. J.: Variations in global wave
climate throughout the year, Int. J. Remote Sens., 12, 1687–1697, 1991.
Cavaleri, L.: The oceanographic tower Acqua Alta – activity and prediction of sea states at Venice, Coast. Eng., 39, 29–70, 2000.
Cavaleri, L. and Malanotte-Rizzoli, P.: Wind-wave prediction in shallow
water: Theory and applications, J. Geophys. Res., 86, 10961–10973, 1981.
Cavaleri, L., Bertotti, L., and Lionello, P.: Extreme storms in the Adriatic
Sea, In: Edge, B. L. Ed., in: Proceedings 22nd Int. Conf. on Coastal Eng., 2–6 July 1990, Delft, the Netherlands, 218–226, 3305, 1991.
Cavaleri, L., Abdalla, S., Benetazzo, A., Bertotti, L., Bidlot, J.-R., Breivik, Ø., Carniel, S., Jensen, R. E., Portilla-Yandun, J., Rogers, W. E., Roland, A., Sanchez-Arcilla, A., Smith, J. M., Staneva, J., Toledo, Y., van Vledder, G. P. and van der Westhuysen, A. J.: Wave modelling in coastal and inner seas, Prog. Oceanogr., 167, 164–233, 2018.
Cavaleri, L., Bajo, M., Barbariol, F., Bastianini, M., Benetazzo, A.,
Bertotti, L., Chiggiato, J., Davolio, S., Ferrarin, C., Magnusson, L., Papa,
A., Pezzutto, P., Pomaro, A., and Umgiesser, G.: The October 29, 2018 storm
in Northern Italy-An exceptional event and its modeling, Prog. Oceanogr.,
178, 102178, https://doi.org/10.1016/j.pocean.2019.102178, 2019.
Cavaleri, L., Barbariol, F., Bastianini, M., Benetazzo, A., Bertotti, L., and Pomaro, A.: An exceptionally high wave at the CNR-ISMAR oceanographic tower in the Northern Adriatic Sea, Sci. Data, 8, 37, https://doi.org/10.1038/s41597-021-00825-x, 2021.
Ciavola, P., Harley, M. D., and den Heijer, C.: The RISC-KIT storm impact
database: a new tool in support of DR, Coast. Eng., 134, 24–32, 2017.
Clementi, E., Oddo, P., Drudi, M., Pinardi, N., Korres, G., and Grandi, A.: Coupling hydrodynamic and wave models: first step and sensitivity experiments in the Mediterranean Sea, Ocean Dynam., 67, 1293–1312, 2017.
Cox, A. T. and Swail, V. R.: A global wave hindcast over the period 1958–1997: validation and climate assessment, J. Geophys. Res., 106,
2313–2329, 2001.
De Leo, F., De Leo, A., Besio, G., and Briganti, R.: Detection and quantification of trends in time series of significant wave heights: an
application in the Mediterranean Sea, Ocean Eng., 202, 107155, https://doi.org/10.1016/j.oceaneng.2020.107155, 2020.
De Leo, F., Besio, G., and Mentaschi, L.: Trends and variability of ocean
waves under RCP8.5 emission scenario in the Mediterranean Sea, Ocean Dynam.,
71, 97–117, 2021.
de Rosnay, P., Browne, P., de Boisséson, E., Fairbairn, D., Hirahara, Y., Ochi, K., Schepers, D., Weston, P., Zuo, H., Alonso-Balmaseda, M., Balsamo, G., Bonavita, M., Borman, N., Brown, A., Chrust, M., Dahoui, M., De Chiara, G., English, S., Geer, A., Healy, S., Hersbach, H., Laloyaux, P., Magnusson, L., Massart, S., McNally, A., Pappenberger, F., and Rabier, F.: Coupled data assimilation at ECMWF: current status, challenges and future developments, Q. J. Roy. Meteorol Soc., 148, 2672–2702, https://doi.org/10.1002/qj.4330, 2022.
DHI group: MIKE 21 Spectral Wave Module, Scientific Documentation, Danish
Hydraulic Institute (DHI), Holsholm, Denmark, p. 56, https://manuals.mikepoweredbydhi.help/2017/Coast_and_Sea/M21SW_Scientific_Doc.pdf
(last access: 20 March 2022), 2017.
Dodet, G., Bertin, X., and Taborda, R.: Wave climate variability in the
North-East Atlantic Ocean over the last six decades, Ocean Model., 31,
120–131, 2010.
Donatini, L., Lupieri, G., Contento, G., Feudale, L., Pedroncini, A., Cusati, L. A., and Crosta, A.: A high resolution wind and wave forecast model chain for the Mediterranean and Adriatic Sea, in: Vol. 1, Towards Green Marine Technology and Transport: Proceedings of the 16th International Conference of the International Maritime Association of the Mediterranean (IMAM2015),
21–24 September 2015, Pula, Croatia, edited by: Guedes Soares, C., Dejhalla, R., and Pavletic, D., University of Trieste, Trieste, Italy, CRC Press, 859–866, ISBN 9780429225604, https://doi.org/10.1201/b18855, 2015.
Donelan, M. A., Babanin, A. V., Young, I. R., and Banner, M. L.: Wave
follower measurements of the wind-input spectral function. Part II.
Parameterization of the wind input, J. Phys. Oceanogr., 36, 1672–1689, 2006.
Farda, A., Štěpánek, P., Halenka, T., Skalák, P., and Belda,
M.: Model ALADIN in climate mode forced with ERA-40 reanalysis (coarse
resolution experiment), Meteorol. J., 10, 123–130, 2007.
Fedor, N. G. and Stanislav, A. M.: Black Sea wind wave climate with a focus
on coastal regions, Ocean Eng., 218, 108199, https://doi.org/10.1016/j.oceaneng.2020.108199, 2020.
Ferrarin, C., Valentini, A., Vodopivec, M., Klaric, D., Massaro, G., Bajo, M., De Pascalis, F., Fadini, A., Ghezzo, M., Menegon, S., Bressan, L., Unguendoli, S., Fettich, A., Jerman, J., Ličer, M., Fustar, L., Papa, A., and Carraro, E.: Integrated sea storm management strategy: the 29 October 2018 event in the Adriatic Sea, Nat. Hazards Earth Syst. Sci., 20, 73–93, https://doi.org/10.5194/nhess-20-73-2020, 2020.
Fiori, E., Zavatarelli, M., Pinardi, N., Mazziotti, C., and Ferrari, C. R.: Observed and simulated trophic index (TRIX) values for the Adriatic Sea basin, Nat. Hazards Earth Syst. Sci., 16, 2043–2054, https://doi.org/10.5194/nhess-16-2043-2016, 2016.
Gaeta, M. G., Samaras, A. G., Federico, I., Archetti, R., Maicu, F., and Lorenzetti, G.: A coupled wave–3-D hydrodynamics model of the Taranto Sea (Italy): a multiple-nesting approach, Nat. Hazards Earth Syst. Sci., 16, 2071–2083, https://doi.org/10.5194/nhess-16-2071-2016, 2016.
Gaeta, M. G., Bonaldo, D., Samaras, A. G., Carniel, S., and Archetti, R.:
Coupled Wave-2D Hydrodynamics Modeling at the Reno River Mouth (Italy) under
Climate Change Scenarios, Water, 10, 1380, https://doi.org/10.3390/w10101380, 2018.
Gorman, R. M., Bryan, K. R., and Laing, A. K.: Wave hindcast for the New Zealand region: deep-water wave climate, NZ J. Mar. Freshw. Res., 37, 589–612, 2003.
Harley, M. D., Valentini, A., Armaroli, C., Perini, L., Calabrese, L., and Ciavola, P.: Can an early-warning system help minimize the impacts of coastal storms? A case study of the 2012 Halloween storm, northern Italy, Nat. Hazards Earth Syst. Sci., 16, 209–222, https://doi.org/10.5194/nhess-16-209-2016, 2016.
Hasselmann, K., TBarnett, T. P., Bouws, E., Carlson, H., Cartwright, D. E.,
Enke, K., Ewing, J. A., Gienapp, H., Hasselmann, D. E., Kruseman, P., Meerburg, A., Muller, P., Olbers, D. J., Richter, K., Sell, W., and Walden,
H.: Measurements of wind-wave growth and swell decay during the Joint North
Sea Wave Project (JONSWAP), Ergänzungsheft zur Deutschen Hydrographischen Zeitschrift, Reihe A 12, 95 pp., http://resolver.tudelft.nl/uuid:f204e188-13b9-49d8-a6dc-4fb7c20562fc (last access: 20 March 2022), 1973.
Hemer, M. A., Church, J. A., and Hunter, J. R.: Variability and trends in
the directional wave climate of the Southern Hemisphere, Int. J. Climatol.,
30, 475–491, 2010.
Hemer, M. A., Wang, X. L., Weisse, R., and Swail, V. R.: Advancing wind-waves climate science, B. Am. Meteorol. Soc., 93, 791–796, 2012.
IDROSER: Progetto di Piano per la difesa del mare e la riqualificazione ambientale del litorale della Regione Emilia-Romagna, Regione Emilia-Romagna, Bologna, Italia, 365 pp., 1996.
IPCC: Climate Change 2007: The Physical Science Basis, in: Contribution of
Working Group I to the Fourth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge
University Press, Cambridge, UK, 996 pp., ISBN 978-0-521-88009-1, 2007.
IPCC: Climate Change 2021: The Physical Science Basis, in: Contribution of
Working Group I to the Sixth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2391 pp.,
https://doi.org/10.1017/9781009157896, 2021.
Kamranzad, B., Etemad-shahidi, A., and Chegini, V.: Assessment of wave energy variation in the Persian Gulf, Ocean Eng., 70, 72–80, 2013.
Katalinić, M., Ćorak, M., and Parunov, J.: Analysis of wave heights and wind speeds in the Adriatic Sea, in: Maritime Technology and Engineering Vol. 1, Proceedings of the MARTECH 2014, 2nd International Conference on Maritime Technology and Engineering, 15–17 October 2014, Lisabon, Portugal,
edited by: Soares, C. G. and Santos, T. A., CRC Press/Balkema, Leiden, the
Netherlands, 1389–1394, 2015.
Komen, G. J., Cavaleri, L., Donelan, M., Hasselmann, K., Hasselmann, S., and
Janssen, P. A. E. M.: Dynamics and Modelling of Ocean Waves, Cambridge
University Press, 532 pp., ISBN 9780511628955, https://doi.org/10.1017/CBO9780511628955, 1994.
Korres, G., Papadopoulos, A., Katsafados, P., Ballas, D., Perivoliotis, L.,
and Nittis, K.: A 2-year intercomparison of the WAM-CYCLE4 and the WAVEWATCH-III wave models implemented within the Mediterranean Sea, Mediterr. Mar. Sci., 12, 129–152, 2011.
Korres, G., Ravdas, M., Zacharioudaki, A., Denaxa, D., and Sotiropoulou, M.:
Mediterranean Sea Waves Analysis and Forecast (CMEMS MED-Waves, MedWAM3 system) (Version 1) set, CMEMS – Copernicus Monitoring Environment Marine
Service, https://doi.org/10.25423/CMCC/MEDSEA_ANALYSISFORE, 2021.
Le Cozannet, G., Oliveros, C., Brivois, O., Giremus, A., Garcin, M., and
Lavigne, F.: Detecting Changes in European Shoreline Evolution Trends Using
Markov Chains and the Eurosion Database, Front. Mar. Sci., 7, 326, https://doi.org/10.3389/fmars.2020.00326, 2020.
Lionello, P.: The Climate of the Mediterranean Region, Elsevier, Amsterdam,
https://doi.org/10.1016/C2011-0-06210-5, 2012.
Lionello, P. and Sanna, A.: Mediterranean wave climate variability and its
links with NAO and Indian monsoon, Clim. Dynam., 25, 611–623, 2005.
Lionello P., Abrantes, F., Congedi, L., Dulac, F., Gacic, M., Gomis, D.,
Goodess, C., Hoff, H., Kutiel, H., Luterbacher, J., Planton, S., Reale, M.,
Schröder, K., Struglia, M. V., Toreti, A., Tsimplis, M., Ulbrich, U., and
Xoplaki, E.: Introduction: Mediterranean Climate: Background Information in
The Climate of the Mediterranean Region. From the Past to the Future, edited by: Lionello, P., Elsevier, Amsterdam, the Netherlands, XXXV–lXXX,
ISBN 9780124160422, 2012.
Lobeto, H., Menendez, M., and Losada, I. J.: Projections of Directional
Spectra Help to Unravel the Future Behavior of Wind Waves, Front. Mar. Sci.,
8, 655490, https://doi.org/10.3389/fmars.2021.655490, 2021.
Luijendijk, A., Hagenaars, G., Ranasinghe, R., Fedor, B., Gennadii, D., and
Stefan, A.: The State of the World's Beaches, Sci. Rep., 8, 6641, https://doi.org/10.1038/s41598-018-24630-6, 2018.
Mahmoudi, E., Meshkat, R. S., Kargar, B., and Kundu, D.: The Extended Exponentiated Weibull Distribution and its Applications, Statistica, 78,
363–396, 2018.
Mentaschi, L., Vousdoukas, M. I., Pekel, J.-F., Voukouvalas, E., and Feyen,
L.: Global long-term observations of coastal erosion and accretion, Sci.
Rep., 8, 12876, https://doi.org/10.1038/s41598-018-30904-w, 2018.
Morales-Márquez, V., Orfila, A., Simarro, G., and Marcos, M.: Extreme waves and climatic patterns of variability in the eastern North Atlantic and Mediterranean basins, Ocean Sci., 16, 1385–1398, https://doi.org/10.5194/os-16-1385-2020, 2020.
Muraleedharan, G., Unnikrishnan Nair, N., and Kurup, P. G.: Characteristics of long-term distributions of wave heights and periods in the eastern Arabian
Sea, Indian J. Mar. Sci., 22, 21–27, 1993.
Muraleedharan, G., Kurup, P. G., and Unnikrishnan Nair, N.: Weibull model for shallow water wave height distribution and prediction, in: National Conference on Current Trends in Ocean Predictions with Special Reference to Indian Seas, Naval Physical and Oceanographic Laboratory, 22–23 December 1998, Kochi, Kerala, India, 80–85, 1998.
Muraleedharan, G., Unnikrishnan Nair, N., and Kurup, P. G.: Application of
Weibull model for redefined significant wave height distributions, Proc.
Indian Acad. Sci. Earth Planet. Sci., 108, 149–153, 1999.
Murphy, A. H.: What Is a Good Forecast? An Essay on the Nature of Goodness in Weather Forecasting, Weather Forecast., 8, 281–293, 1993.
Pandzic, K. and Likso, T.: Eastern Adriatic typical wind field patterns and
large-scale atmospheric conditions, Int. J. Climatol., 25, 81–98, 2005.
Perini, L., Calabrese, L., Luciani, P., Olivieri, M., Galassi, G., and Spada, G.: Sea-level rise along the Emilia-Romagna coast (Northern Italy) in 2100: scenarios and impacts, Nat. Hazards Earth Syst. Sci., 17, 2271–2287, https://doi.org/10.5194/nhess-17-2271-2017, 2017.
Pranavam Ayyappan Pillai, U., Pinardi, N., Federico, I., Causio, S., Trotta, F., Unguendoli, S., and Valentini, A.: Data/codes used in the the Natural Hazards and Earth System Sciences (NHESS) publication titled “Wind-Wave Characteristics and extremes along the Emilia-Romagna coast” by Pranavam Ayyappan Pillai et al., 2022 (Version V1), Zenodo [code and data set], https://doi.org/10.5281/zenodo.6360348, 2022.
Qian, C., Jiang, H., Wang, X., and Chen, G.: Climatology of Wind-Seas and Swells in the China Seas from Wave Hindcast, J. Ocean Univ. China, 19, 90–100, https://doi.org/10.1007/s11802-020-3924-4, 2020.
Queffeulou, P. and Bentamy, A.: Analysis of Wave Height Variability Using
Altimeter Measurements: Application to the Mediterranean Sea, J. Atmos. Ocean. Tech., 24, 2078–2092, 2007.
Ravdas, M., Zacharioudaki, A., and Korres, G.: Implementation and validation of a new operational wave forecasting system of the Mediterranean Monitoring and Forecasting Centre in the framework of the Copernicus Marine Environment Monitoring Service, Nat. Hazards Earth Syst. Sci., 18, 2675–2695, https://doi.org/10.5194/nhess-18-2675-2018, 2018.
Reistad, M., Breivik, Ø., Haakenstad, H., Aarnes, O. J., Furevik, B. R.,
and Bidlot, J. R.: A high-resolution hindcast of wind and waves for the North Sea, the Norwegian Sea, and the Barents Sea, J. Geophys. Res., 116, C05019, https://doi.org/10.1029/2010JC006402, 2011.
Rogers, W. E., Babanin, A. V., and Wang, D. W.: Observation-consistent input
and whitecapping dissipation in a model for wind-generated surface waves:
Description and simple calculations, J. Atmos. Ocean. Tech., 29, 1329–1346, 2012.
Romagnoli, C., Sistilli, F., Cantelli, L., Aguzzi, M., De Nigris, N., Morelli, M., Gaeta, M. G., and Archetti, R.: Beach Monitoring and Morphological Response in the Presence of Coastal Defense Strategies at Riccione (Italy), J. Mar. Sci. Eng., 9, 851, https://doi.org/10.3390/jmse9080851, 2021.
Russo, A., Coluccelli, A., Carniel, S., Benetazzo, A., Valentini, A., and
Paccagnella, T.: Operational Models Hierarchy for Short Term Marine
Predictions: The Adriatic Sea Example, in: IEEE MTS/IEEE OCEANS, Bergen, 1–6, https://doi.org/10.1109/OCEANS-Bergen.2013.6608139, 2013.
Sanuy, M., Duo, E., Jäger, W. S., Ciavola, P., and Jiménez, J. A.: Linking source with consequences of coastal storm impacts for climate change and risk reduction scenarios for Mediterranean sandy beaches, Nat. Hazards Earth Syst. Sci., 18, 1825–1847, https://doi.org/10.5194/nhess-18-1825-2018, 2018.
Sekovski, I., Armaroli, C., Calabrese, L., Mancini, F., Stecchi, F., and Perini, L.: Coupling scenarios of urban growth and flood hazards along the Emilia-Romagna coast (Italy), Nat. Hazards Earth Syst. Sci., 15, 2331–2346, https://doi.org/10.5194/nhess-15-2331-2015, 2015.
Semedo, A., Suselj, K., Rutgersson, A., and Sterl, A.: A global view on the
wind sea and swell climate and variability from ERA-40, J. Climate, 24,
1461–1479, 2011.
Sepulveda, H. H., Queffeulou, P., and Ardhuin, F.: Assessment of SARAL/AltiKa wave height measurements relative to buoy, Jason-2, and Cryosat-2 data, Mar. Geod., 38, 449–465, 2015.
Sikiric, M. D., Damir, I., Roland, A., Ivatek-Shahdan, S., and Tudor, M.:
Operational Wave Modelling in the Adriatic Sea with the Wind Wave Model, Pure Appl. Geophys., 175, 3801–3815, 2018.
Steppeler, J., G. Doms, U. Shatter, Bitzer, H. W., Gassmann, A., Damrath, U., and Gregoric, G.: Meso-gamma scale forecasts using the nonhydrostatic model LM, Meteorol. Atmos. Phys., 82, 75–96, 2003.
Sterl, A. and Caires, S.: Climatology, variability and extrema of ocean waves: The web-based KNMI/ERA-40 wave atlas, Int. J. Climatol., 25, 963–977, 2005.
Sterl, A., Komen, G. J., and Cotton, P. D.: Fifteen years of global wave
hindcasts using winds from the European centre for medium-range weather
forecasts reanalysis: validating the reanalyzed winds and assessing the wave
climate, J. Geophys. Res., 103, 5477–5492, 1998.
Stopa, J. E. and Cheung, K. F.: Periodicity and patterns of ocean wind and
wave climate, J. Geophys. Res.-Oceans, 119, 5563–5584, 2014.
Tolman, H. L.: A genetic optimization package for the Generalized Multiple
DIA in WAVEWATCH III, Tech. Note 289, Ver. 1.0, NOAA/NWS/NCEP/MMAB, 21 pp.,
https://polar.ncep.noaa.gov/mmab/papers/tn289/MMAB_289_v1.0.pdf (last access: 20 March 2022), 2010.
Tolman, H. L.: A Generalized Multiple Discrete Interaction Approximation for
resonant four-wave nonlinear interactions in wind wave models with arbitrary
depth, Ocean Model., 70, 11–24, 2013.
Tolman, H. L.: A genetic optimization package for the Generalized Multiple
DIA in WAVEWATCH III, Tech. Note 289, Ver. 1.4, NOAA/NWS/NCEP/MMAB, 21 pp. + Appendix, https://polar.ncep.noaa.gov/mmab/papers/tn289/MMAB_289_v1.4.pdf (last access: 20 March 2022), 2014.
Tolman, H. L., Balasubramaniyan, B., Burroughs, L. D., Chalikov, D. V.,
Chao, Y. Y., Chen, H. S., and Gerald, V. M.: Development and Implementation
of Wind-Generated Ocean Surface Wave Models at NCEP, Weather Forecast., 17, 311–333, 2002.
Torrence, C. and Compo, G. P.: A practical guide to wavelet analysis, B. Am. Meteorol. Soc., 79, 61–78, 1998.
Umgiesser, G., Ferrari, C., Cucc, A., De Pascalis, F., Bellafiore, D.,
Ghezzo, M., and Bajo, M.: Comparative hydrodynamics of 10 Mediterranean lagoons by means of numerical modeling, J. Geophys. Res.-Oceans, 119, 2212–2226, 2014.
Umgiesser, G., Bajo, M., Ferrarin, C., Cucco, A., Lionello, P., Zanchettin, D., Papa, A., Tosoni, A., Ferla, M., Coraci, E., Morucci, S., Crosato, F.,
Bonometto, A., Valentini, A., Orlić, M., Haigh, I. D., Nielsen, J. W.,
Bertin, X., Fortunato, A. B., Pérez Gómez, B., Alvarez Fanjul, E.,
Paradis, D., Jourdan, D., Pasquet, A., Mourre, B., Tintoré, J., and
Nicholls, R. J.: The prediction of floods in Venice: methods, models and
uncertainty (review article), Nat. Hazards Earth Syst. Sci., 21, 2679–2704,
https://doi.org/10.5194/nhess-21-2679-2021, 2021.
Valentini, A., Delli Passeri, L., Paccagnella, T., Patruno, P., Marsigli, C., Cesari, D., Deserti, M., Chiggiato, J., and Tibaldi, S.: The sea state forecast system of ARPA-SIM, Boll. Geofis. Teor. Appl., 48, 333–349, 2007.
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Bianchi, A., Dottori, F.,
and Feyen, L.: Climatic and socioeconomic controls of future coastal flood
risk in Europe, Nat. Clim. Change, 8, 776–780, 2018.
Weibull, W.: A statistical distribution function of wide applicability, J.
Appl. Mech., 18, 293–297, 1951.
Woolf, D. K., Challenor, P. G., and Cotton, P. D.: Variability and predictability of the North Atlantic wave climate, J. Geophys. Res., 107,
3145–3158, 2002.
WW3DG – WW3 Development Group: User manual and system documentation of WW3 v.5.16, NOAA, http://polar.ncep.noaa.gov/waves/wavewatch/manual.v5.16.pdf (last access: 20 March 2022), 2016.
Yamaguchi, M.: Approximate expressions for integral properties of the
JONSWAP spectrum, Proc. Jpn. Soc. Civ. Eng., 345, 149–152, 1984.
Young, I. R.: Seasonal variability of the global ocean wind and wave climate, Int. J. Climatol., 19, 931–950, 1999.
Young, I. R. and Donelan, M. A.: On the determination of global ocean wind and wave climate from satellite observations, Remote Sens. Environ., 215,
228–241, 2018.
Young, I. R. and Holland, G. J.: Atlas of the Oceans: Wind and Wave Climate, Pergamon Press, 241 pp., ISBN 13:978-0080425191, 1996.
Young, I. R., Zieger, S., and Babanin, A. V.: Global trends in wind speed and
wave height, Science, 332, 451–455, 2011.
Young, I. R., Fontaine, E., Liu, Q., and Babanin, A. V.: The wave climate of
the Southern Ocean, J. Phys. Oceanogr., 50, 1417–1433, 2020.
Zheng, C. W. and Li, C. Y.: Variation of the wave energy and significant wave
height in the China Sea and adjacent waters, Renew. Sustain. Energ. Rev., 43, 381–387, 2015.
Zheng, K., Sun, J., Guan, C., and Shao, W.: Analysis of the global swell and
wind sea energy distribution using WAVEWATCH III, Adv. Meteorol., 2016, 1–9, https://doi.org/10.1155/2016/8419580, 2016.
Zieger, S., Babanin, A. V., Rogers, W. E., and Young, I. R.: Observation-based source terms in the third-generation wave model WAVEWATCH, Ocean Model., 96, 2–25, 2015.
Short summary
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.
The study presents the application of high-resolution coastal modelling for wave hindcasting on...
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