Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2679-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2679-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| Highlight paper
| 
01 Sep 2021
Review article | Highlight paper |
| 01 Sep 2021
| 01 Sep 2021
The prediction of floods in Venice: methods, models and uncertainty (review article)
Georg Umgiesser
CORRESPONDING AUTHOR
ISMAR-CNR, Institute of Marine Sciences, National Research Council,
Venice, Italy
Marine Research Institute, Klaipeda University, Klaipeda, Lithuania
Marco Bajo
ISMAR-CNR, Institute of Marine Sciences, National Research Council,
Venice, Italy
Christian Ferrarin
ISMAR-CNR, Institute of Marine Sciences, National Research Council,
Venice, Italy
Andrea Cucco
IAS-CNR, Institute for the study of Anthropic impacts and Sustainability in the marine environment, National Research Council, Oristano, Italy
Piero Lionello
DiSTeBA – University of Salento, Lecce, Italy
Davide Zanchettin
Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, Mestre, Italy
Alvise Papa
CPSM, Centro Previsione e Segnalazione Maree – Protezione Civile,
Venice, Italy
Alessandro Tosoni
CPSM, Centro Previsione e Segnalazione Maree – Protezione Civile,
Venice, Italy
Maurizio Ferla
Italian Institute for Environmental Protection and Research, ISPRA, Venice, Italy
Elisa Coraci
Italian Institute for Environmental Protection and Research, ISPRA, Venice, Italy
Sara Morucci
Italian Institute for Environmental Protection and Research, ISPRA, Venice, Italy
Franco Crosato
Italian Institute for Environmental Protection and Research, ISPRA, Venice, Italy
Andrea Bonometto
Italian Institute for Environmental Protection and Research, ISPRA, Venice, Italy
Andrea Valentini
Arpae-SIMC – Regional Agency for Prevention, Environment and Energy of
Emilia-Romagna, Hydro-Meteo-Climate Service, Bologna, Italy
Mirko Orlić
Department of Geophysics, Faculty of Science, University of Zagreb,
Zagreb, Croatia
Ivan D. Haigh
School of Ocean and Earth Science, National Oceanography Centre,
University of Southampton, Southampton, UK
Jacob Woge Nielsen
DMI – Danish Meteorological Institute, Copenhagen, Denmark
Xavier Bertin
UMR 7266 LIENSs, CNRS-La Rochelle University, 2 rue Olympe de
Gouges, 17000 La Rochelle, France
André Bustorff Fortunato
Laboratório Nacional de Engenharia Civil, Lisbon, Portugal
Begoña Pérez Gómez
Puertos del Estado, Madrid, Spain
Enrique Alvarez Fanjul
Puertos del Estado, Madrid, Spain
Denis Paradis
Direction des Opérations pour la Prévision, Département Marine et Océanographie, Météo-France, Toulouse, France
Didier Jourdan
Shom (Service hydrographique et océanographique de la Marine),
Toulouse, France
Audrey Pasquet
Shom (Service hydrographique et océanographique de la Marine),
Toulouse, France
Baptiste Mourre
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Mallorca, Spain
Joaquín Tintoré
SOCIB, Balearic Islands Coastal Observing and Forecasting System, Mallorca, Spain
Robert J. Nicholls
Tyndall Centre for Climate Change Research, University of East
Anglia, Norwich, UK
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36 citations as recorded by crossref.
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34 citations as recorded by crossref.
- Contribution of high-frequency (T < 2 h) sea level oscillations to the Adriatic sea level maxima K. Ruić et al. 10.1007/s11069-023-05834-0
- Return periods of extreme sea levels: From magnitude to frequency, duration and seasonality. Implications in a regulated coastal lagoon D. Baldan et al. 10.1016/j.scitotenv.2022.161326
- Perception and Reality: How the Depths of the High Waters in Venice Apparently Change with the Reference System D. Camuffo 10.3390/cli12050062
- Interannual-to-multidecadal sea-level changes in the Venice lagoon and their impact on flood frequency S. Rubinetti et al. 10.1007/s10584-022-03448-2
- Insights on the Extreme Storm Surge Event of the 22 November 2022 in the Venice Lagoon R. Mel et al. 10.3390/jmse11091750
- Extreme floods of Venice: characteristics, dynamics, past and future evolution (review article) P. Lionello et al. 10.5194/nhess-21-2705-2021
- Venice flooding and sea level: past evolution, present issues, and future projections (introduction to the special issue) P. Lionello et al. 10.5194/nhess-21-2633-2021
- EuroGOOS roadmap for operational coastal downstream services G. El Serafy et al. 10.3389/fmars.2023.1177615
- Sea-level rise in Venice: historic and future trends (review article) D. Zanchettin et al. 10.5194/nhess-21-2643-2021
- Hydrodynamic modelling in marginal and coastal seas — The case of the Adriatic Sea as a permanent laboratory for numerical approach G. Umgiesser et al. 10.1016/j.ocemod.2022.102123
- Sea level rise and extreme events along the Mediterranean coasts: the case of Venice and the awareness of local population, stakeholders and policy makers M. Anzidei et al. 10.1007/s12210-024-01236-x
- A Spatial Structure Variable Approach to Characterize Storm Events for Coastal Flood Hazard Assessment C. Favaretto et al. 10.3390/w13182556
- Cost–benefit analysis of coastal flood defence measures in the North Adriatic Sea M. Amadio et al. 10.5194/nhess-22-265-2022
- Dynamical diagnostic of extreme events in Venice lagoon and their mitigation with the MoSE T. Alberti et al. 10.1038/s41598-023-36816-8
- Broadening the scope of anthropogenic influence in extreme event attribution A. Jézéquel et al. 10.1088/2752-5295/ad7527
- Effect of Mo.S.E. Closures on Wind Waves in the Venetian Lagoon: In Situ and Numerical Analyses C. Favaretto et al. 10.3390/w14162579
- Remote Measurement of Tide and Surge Using a Deep Learning System with Surveillance Camera Images G. Sabato et al. 10.3390/w16101365
- A machine learning approach to evaluate coastal risks related to extreme weather events in the Veneto region (Italy) M. Dal Barco et al. 10.1016/j.ijdrr.2024.104526
- Water Mass Transport Changes through the Venice Lagoon Inlets from Projected Sea-Level Changes under a Climate Warming Scenario S. Rubinetti et al. 10.3390/w15183221
- Wind-wave characteristics and extremes along the Emilia-Romagna coast U. Pranavam Ayyappan Pillai et al. 10.5194/nhess-22-3413-2022
- Venice as a paradigm of coastal flooding under multiple compound drivers C. Ferrarin et al. 10.1038/s41598-022-09652-5
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- Boon and burden: economic performance and future perspectives of the Venice flood protection system C. Giupponi et al. 10.1007/s10113-024-02193-9
- On the contribution of tidal floods on damp walls of Venice L. Falchi et al. 10.1016/j.ijdrr.2024.104609
- Developing a framework for the assessment of current and future flood risk in Venice, Italy J. Schlumberger et al. 10.5194/nhess-22-2381-2022
- New insights on the Venice high-water phenomenon through a maximum negentropy criterium E. De Lauro et al. 10.1016/j.pocean.2023.102978
- Importance of non-stationary analysis for assessing extreme sea levels under sea level rise D. Baldan et al. 10.5194/nhess-22-3663-2022
- Attributing Venice Acqua Alta events to a changing climate and evaluating the efficacy of MoSE adaptation strategy D. Faranda et al. 10.1038/s41612-023-00513-0
- Coastal sea level monitoring in the Mediterranean and Black seas B. Pérez Gómez et al. 10.5194/os-18-997-2022
- Performance of the Adriatic Sea and Coast (AdriSC) climate component – a COAWST V3.3-based one-way coupled atmosphere–ocean modelling suite: ocean results P. Pranić et al. 10.5194/gmd-14-5927-2021
- High tide, low price? Flooding alerts and hotel prices in Venice F. Angelini et al. 10.1177/13548166231174270
- How to disentangle sea-level rise and a number of other processes influencing coastal floods? M. Orlić & M. Pasarić 10.1007/s12210-024-01242-z
- Is the Atlantic a Source for Decadal Predictability of Sea‐Level Rise in Venice? D. Zanchettin et al. 10.1029/2022EA002494
- Earth observation technologies, policies and legislation for the coastal flood risk assessment and management: a European perspective A. Velegrakis et al. 10.1007/s44218-024-00037-x
2 citations as recorded by crossref.
Latest update: 12 Nov 2024
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Short summary
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.
The city of Venice relies crucially on a good storm surge forecast to protect its population and...
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