Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2523-2021
© 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-21-2523-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Aug 2021
Research article |
| 25 Aug 2021
| 25 Aug 2021
Towards an efficient storm surge and inundation forecasting system over the Bengal delta: chasing the Supercyclone Amphan
Md. Jamal Uddin Khan
CORRESPONDING AUTHOR
LEGOS UMR5566, CNRS/CNES/IRD/UPS, 31400 Toulouse, France
Fabien Durand
LEGOS UMR5566, CNRS/CNES/IRD/UPS, 31400 Toulouse, France
Laboratório de Geoquímica, Instituto de Geociencias, Universidade de Brasilia, Brasília, Brazil
Xavier Bertin
UMR 7266 LIENSs, CNRS – La Rochelle University, 17000 La Rochelle, France
Laurent Testut
LEGOS UMR5566, CNRS/CNES/IRD/UPS, 31400 Toulouse, France
UMR 7266 LIENSs, CNRS – La Rochelle University, 17000 La Rochelle, France
Yann Krien
UMR 7266 LIENSs, CNRS – La Rochelle University, 17000 La Rochelle, France
currently at: SHOM (DOPS/STM/REC), Toulouse, France
A. K. M. Saiful Islam
Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET),
Dhaka-1000, Bangladesh
Marc Pezerat
UMR 7266 LIENSs, CNRS – La Rochelle University, 17000 La Rochelle, France
Sazzad Hossain
Flood Forecasting and Warning Centre, BWDB, Dhaka, Bangladesh
Department of Geography and Environmental Science, University of Reading, Reading, UK
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Revised manuscript accepted for NHESS
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Tropical cyclones drive extreme sea levels, causing large storm surges due to low atmospheric pressure and strong winds. This study explores factors affecting the numerical modelling of storm surges induced by hurricanes in the tropical Atlantic. Two ocean models are compared and used for sensitivity experiments. ERA5 atmospheric reanalysis forcing generally improves storm surge estimates compared to parametric wind models. Including ocean circulations reduces errors in storm surge estimates.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024, https://doi.org/10.5194/nhess-24-1835-2024, 2024
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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 reaches up to 3.5 m. In addition, we add the maximal value of the mean level of the Baltic Sea (1 m), leading to a sea level of 4.5 m.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024, https://doi.org/10.5194/nhess-24-1635-2024, 2024
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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.
Alisée A. Chaigneau, Angélique Melet, Aurore Voldoire, Guillaume Reffray, Stéphane Law-Chune, and Lotfi Aouf
EGUsphere, https://doi.org/10.5194/egusphere-2024-1061, https://doi.org/10.5194/egusphere-2024-1061, 2024
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Climate change induced sea level rise increases the frequency of extreme sea levels. This paper presents regional projections of extreme sea levels for western Europe produced with high-resolution models (~6 km). Unlike commonly used coarse-scale global climate models, this approach allows to simulate key processes driving coastal sea level variations such as long-term sea level rise, tides, storm surges induced by low atmospheric surface pressure and winds, waves, and their interactions.
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., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024, https://doi.org/10.5194/nhess-24-1381-2024, 2024
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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 urbanization: action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on a global scale to estimate what levels of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Charlotte Lyddon, Nguyen Chien, Grigorios Vasilopoulos, Michael Ridgill, Sogol Moradian, Agnieszka Olbert, Thomas Coulthard, Andrew Barkwith, and Peter Robins
Nat. Hazards Earth Syst. Sci., 24, 973–997, https://doi.org/10.5194/nhess-24-973-2024, https://doi.org/10.5194/nhess-24-973-2024, 2024
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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.
Christopher Stokes, Timothy Poate, Gerd Masselink, Tim Scott, and Steve Instance
EGUsphere, https://doi.org/10.5194/egusphere-2024-482, https://doi.org/10.5194/egusphere-2024-482, 2024
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Currents at beaches with an estuary mouth have rarely been studied before. Using field measurements and computer modelling, we show that surfzone currents can be driven by both estuary flow and rip currents. We show that an estuary mouth beach can have flows reaching 1.5 m/s and have a high likelihood of taking bathers out of the surfzone. The river channels on the beach direct the flows and even though they change position over time, it was possible to predict when peak hazards would occur.
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.
Enrico Duo, Juan Montes, Marine Le Gal, Tomás Fernández-Montblanc, Paolo Ciavola, and Clara Armaroli
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-197, https://doi.org/10.5194/nhess-2023-197, 2023
Revised manuscript accepted for NHESS
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The present work, developed within the EU H2020 European Coastal Flood Awareness System ECFAS project, presents an approach used to estimate coastal flood direct impacts on population, buildings, and roads along the European coasts. The findings demonstrate that the ECFAS Impact approach offers valuable estimates for affected populations, reliable damage assessments for buildings and roads, and improved accuracy compared to traditional grid-based approaches.
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.
Bene Aschenneller, Roelof Rietbroek, and Daphne van der Wal
EGUsphere, https://doi.org/10.5194/egusphere-2023-2320, https://doi.org/10.5194/egusphere-2023-2320, 2023
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Shorelines retreat or advanve in response to sea level changes, subsidence or uplift of the ground, and morphological processes (sedimentation and erosion). We show that the geometrical influence of each of these drivers on shoreline movements can be quantified by combining different remote sensing observations, including radar altimetry, LiDAR and optical satellite images. The focus here is to illustrate the uncertainties of these observations by comparing datasets that cover similar processes.
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.
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.
Cited articles
Ahsan, M. N., Khatun, A., Islam, M. S., Vink, K., Ohara, M., and Fakhruddin,
B. S.: Preferences for improved early warning services among coastal
communities at risk in cyclone prone south-west region of Bangladesh,
Progress in Disaster Science, 5, 100065,
https://doi.org/10.1016/j.pdisas.2020.100065, 2020. a
Alam, E. and Dominey-Howes, D.: A new catalogue of tropical cyclones of the
northern Bay of Bengal and the distribution and effects of selected
landfalling events in Bangladesh, Int. J. Climatol., 35,
801–835, https://doi.org/10.1002/joc.4035, 2014. a, b
Ali, A.: Climate change impacts and adaptation assessment in Bangladesh,
Clim. Res., 12, 109–116, https://doi.org/10.3354/cr012109, 1999. a, b
Antony, C. and Unnikrishnan, A. S.: Observed characteristics of tide-surge
interaction along the east coast of India and the head of Bay of
Bengal, Estuar. Coast. Shelf S., 131, 6–11,
https://doi.org/10.1016/j.ecss.2013.08.004, 2013. a, b
Antony, C., Unnikrishnan, A., Krien, Y., Murty, P., Samiksha, S., and Islam,
A.: Tide–surge interaction at the head of the Bay of Bengal
during Cyclone Aila, Regional Studies in Marine Science, 35, 101133,
https://doi.org/10.1016/j.rsma.2020.101133, 2020. a
Ardhuin, F., Rogers, E., Babanin, A. V., Filipot, J.-F., Magne, R., Roland, A.,
van der Westhuysen, A., Queffeulou, P., Lefevre, J.-M., Aouf, L., and
Collard, F.: Semiempirical Dissipation Source Functions for Ocean Waves. Part
I: Definition, Calibration, and Validation, J. Phys. Oceanogr.,
40, 1917–1941, https://doi.org/10.1175/2010jpo4324.1, 2010. a
As-Salek, J. A. and Yasuda, T.: Tide–Surge Interaction in the Meghna
Estuary: Most Severe Conditions, J. Phys. Oceanogr.,
31, 3059–3072, https://doi.org/10.1175/1520-0485(2001)031<3059:tsiitm>2.0.co;2,
2001. a, b, c
Auerbach, L. W., Jr, S. L. G., Mondal, D. R., Wilson, C. A., Ahmed, K. R., Roy,
K., Steckler, M. S., Small, C., Gilligan, J. M., and Ackerly, B. A.: Flood
risk of natural and embanked landscapes on the Ganges–Brahmaputra tidal
delta plain, Nat. Clim. Change, 5, 153–157, https://doi.org/10.1038/nclimate2472,
2015. a, b
Battjes, J. A. and Janssen, J. P. F. M.: Energy Loss and Set-Up Due to
Breaking of Random Waves, in: Coastal Engineering 1978,
American Society of Civil Engineers, Hamburg, Germany, 569–587,
https://doi.org/10.1061/9780872621909.034, 1978. a
Bernier, N. B. and Thompson, K. R.: Deterministic and ensemble storm surge
prediction for Atlantic Canada with lead times of hours to ten days,
Ocean Model., 86, 114–127, https://doi.org/10.1016/j.ocemod.2014.12.002, 2015. a
Bertin, X., Li, K., Roland, A., Zhang, Y. J., Breilh, J. F., and Chaumillon,
E.: A modeling-based analysis of the flooding associated with Xynthia,
central Bay of Biscay, Coast. Eng., 94, 80–89,
https://doi.org/10.1016/j.coastaleng.2014.08.013, 2014. a, b
Bertin, X., Li, K., Roland, A., and Bidlot, J.-R.: The contribution of
short-waves in storm surges: Two case studies in the Bay of Biscay,
Cont. Shelf Res., 96, 1–15, https://doi.org/10.1016/j.csr.2015.01.005, 2015. a, b
Bhardwaj, P. and Singh, O.: Climatological characteristics of Bay of Bengal
tropical cyclones: 1972–2017, Theor. Appl. Climatol., 139,
615–629, https://doi.org/10.1007/s00704-019-02989-4, 2019. a
Bouwer, L. M. and Jonkman, S. N.: Global mortality from storm surges is
decreasing, Environ. Res. Lett., 13, 014008,
https://doi.org/10.1088/1748-9326/aa98a3, 2018. a
Center For International Earth Science Information Network (CIESIN), Columbia
University: Documentation for Gridded Population of the World, Version 4
(GPWv4), https://doi.org/10.7927/H4D50JX4, 2016. a
Chowdhury, M. A. M. and Al Rahim, M.: A proposal on new scheduling of turbine
discharge at Kaptai hydro-electric power plant to avoid the wastage of water
due to overflow in the dam, in: 2012 7th International Conference on
Electrical and Computer Engineering, IEEE, 758–762, 2012. a
Condon, A. J., Sheng, Y. P., and Paramygin, V. A.: Toward High-Resolution,
Rapid, Probabilistic Forecasting of the Inundation Threat from
Landfalling Hurricanes, Mon. Weather Rev., 141, 1304–1323,
https://doi.org/10.1175/mwr-d-12-00149.1,
2013. a
Daniel, P., Haie, B., and Aubail, X.: Operational Forecasting of Tropical
Cyclones Storm Surges at Meteo-France, Mar. Geod., 32,
233–242, https://doi.org/10.1080/01490410902869649,
2009. a
Das, P. K.: Prediction Model for Storm Surges in the Bay of Bengal,
Nature, 239, 211–213, https://doi.org/10.1038/239211a0, 1972. a
Deb, M. and Ferreira, C. M.: Simulation of cyclone-induced storm surges in the
low-lying delta of Bangladesh using coupled hydrodynamic and wave model
(SWAN + ADCIRC), J. Flood Risk
Manag., 11, S750–S765, https://doi.org/10.1111/jfr3.12254, 2016. a, b
DhakaTribune: Govt: Cyclone caused damage worth Tk1, 100 crore,
https://www.dhakatribune.com/bangladesh/crisis/2020/05/21/govt-estimated-damages-from-amphan-worth-1-100-crore last access: 22 May 2020. a
Dube, S. K., Chittibabu, P., Sinha, P. C., Rao, A. D., and Murty, T. S.:
Numerical Modelling of Storm Surge in the Head Bay of Bengal
Using Location Specific Model, Nat. Hazards, 31, 437–453,
https://doi.org/10.1023/b:nhaz.0000023361.94609.4a, 2004. a, b
Dube, S. K., Jain, I., Rao, A. D., and Murty, T. S.: Storm surge modelling for
the Bay of Bengal and Arabian Sea, Nat. Hazards, 51, 3–27,
https://doi.org/10.1007/s11069-009-9397-9, 2009. a, b
Durand, F., Piecuch, C. G., Becker, M., Papa, F., Raju, S. V., Khan, J. U., and
Ponte, R. M.: Impact of Continental Freshwater Runoff on Coastal Sea Level,
Surv. Geophys., 40, 1437–1466, https://doi.org/10.1007/s10712-019-09536-w, 2019. a
Egbert, G. D. and Erofeeva, S. Y.: Efficient inverse modeling of barotropic
ocean tides, J. Atmos. Ocean. Tech., 19, 183–204,
2002. a
Emanuel, K.: Increasing destructiveness of tropical cyclones over the past
30 years, Nature, 436, 686–688, https://doi.org/10.1038/nature03906,
2005. a
Emanuel, K. and Rotunno, R.: Self-Stratification of Tropical Cyclone
Outflow. Part I: Implications for Storm Structure, J.
Atmos. Sci., 68, 2236–2249, https://doi.org/10.1175/jas-d-10-05024.1, 2011. a
Fernández-Montblanc, T., Vousdoukas, M., Ciavola, P., Voukouvalas, E.,
Mentaschi, L., Breyiannis, G., Feyen, L., and Salamon, P.: Towards robust
pan-European storm surge forecasting, Ocean Model., 133, 129–144,
https://doi.org/10.1016/j.ocemod.2018.12.001, 2019. a, b
Flather, R. A.: A Storm Surge Prediction Model for the Northern Bay
of Bengal with Application to the Cyclone Disaster in April 1991,
J. Phys. Oceanogr., 24, 172–190,
https://doi.org/10.1175/1520-0485(1994)024<0172:asspmf>2.0.co;2, 1994. a
Flowerdew, J., Mylne, K., Jones, C., and Titley, H.: Extending the forecast
range of the UK storm surge ensemble, Q. J. Roy.
Meteor. Soc., 139, 184–197, https://doi.org/10.1002/qj.1950, 2012. a
Fortunato, A. B., Oliveira, A., Rogeiro, J., Tavares da Costa, R., Gomes,
J. L., Li, K., de Jesus, G., Freire, P., Rilo, A., Mendes, A., Rodrigues, M.,
and Azevedo, A.: Operational forecast framework applied to extreme sea levels
at regional and local scales, J. Oper. Oceanogr., 10, 1–15,
https://doi.org/10.1080/1755876X.2016.1255471, 2017. a, b, c
Frank, N. L. and Husain, S.: The deadliest tropical cyclone in history?,
B. Am. Meteorol. Soc., 52, 438–445, 1971. a
Guérin, T., Bertin, X., Coulombier, T., and de Bakker, A.: Impacts of
wave-induced circulation in the surf zone on wave setup, Ocean Model.,
123, 86–97, https://doi.org/10.1016/j.ocemod.2018.01.006, 2018. a, b
Holland, G. J.: An Analytic Model of the Wind and Pressure Profiles
in Hurricanes, Mon. Weather Rev., 108, 1212–1218,
https://doi.org/10.1175/1520-0493(1980)108<1212:aamotw>2.0.co;2, 1980. a
Idier, D., Bertin, X., Thompson, P., and Pickering, M. D.: Interactions
Between Mean Sea Level, Tide, Surge, Waves and Flooding:
Mechanisms and Contributions to Sea Level Variations at the
Coast, Surv. Geophys., 40, 1603–1630,
https://doi.org/10.1007/s10712-019-09549-5, 2019. a, b
IFRC: Bangladesh: Cyclone – Final report early action,
https://reliefweb.int/sites/reliefweb.int/files/resources/EAP2018BD01fr.pdf (last access: 22 February 2021)
2020b. a
IMD: Super Cyclonic Storm “AMPHAN” over the southeast
Bay of Bengal (16th–21st May 2020): A Report, Tech. rep., Cyclone Warning Division – India Meteorological Department, New Delhi, available at: https://www.rsmcnewdelhi.imd.gov.in/uploads/report/26/26_936e63_amphan.pdf, last access: 27 July 2021. a
Islam, A. S., Bala, S. K., Hussain, M. A., Hossain, M. A., and Rahman, M. M.:
Performance of Coastal Structures during Cyclone Sidr, Nat.
Hazards Rev., 12, 111–116, https://doi.org/10.1061/(asce)nh.1527-6996.0000031, 2011. a
Ji, M., Aikman, F., and Lozano, C.: Toward improved operational surge and
inundation forecasts and coastal warnings, Nat. Hazards, 53, 195–203,
https://doi.org/10.1007/s11069-009-9414-z, 2009. a
Johns, B. and Ali, M. A.: The numerical modelling of storm surges in the Bay
of Bengal, Q. J. Roy. Meteor. Soc., 106,
1–18, https://doi.org/10.1002/qj.49710644702, 1980. a, b, c
Khalid, A. and Ferreira, C.: Advancing real-time flood prediction in large
estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance
system, Environ. Modell. Softw., 131, 104748,
https://doi.org/10.1016/j.envsoft.2020.104748, 2020. a, b
Khalil, G. M.: The catastrophic cyclone of April 1991: Its Impact on the
economy of Bangladesh, Nat. Hazards, 8, 263–281,
https://doi.org/10.1007/bf00690911,
1993. a
Khan, M. J. U.: Digitized flood location dataset during cyclone Amphan from
newspaper survey, Zenodo [data set], https://doi.org/10.5281/ZENODO.4086102, 2020. a, b
Khan, M. J. U., Ansary, M. N., Durand, F., Testut, L., Ishaque, M., Calmant,
S., Krien, Y., Islam, A. K. M. S., and Papa, F.: High-Resolution
Intertidal Topography from Sentinel-2 Multi-Spectral Imagery:
Synergy between Remote Sensing and Numerical Modeling, Remote
Sensing, 11, 2888, https://doi.org/10.3390/rs11242888, 2019. a, b, c
Krien, Y., Mayet, C., Testut, L., Durand, F., Tazkia, A. R., Islam, A. K.
M. S., Gopalakrishna, V. V., Becker, M., Calmant, S., Shum, C. K., Khan,
Z. H., Papa, F., and Ballu, V.: Improved Bathymetric Dataset and Tidal
Model for the Northern Bay of Bengal, Mar. Geodesy, 39, 422–438,
https://doi.org/10.1080/01490419.2016.1227405, 2016. a, b, c, d
Krien, Y., Testut, L., Islam, A. K. M. S., Bertin, X., Durand, F., Mayet, C.,
Tazkia, A. R., Becker, M., Calmant, S., Papa, F., Ballu, V., Shum, C. K., and
Khan, Z. H.: Towards improved storm surge models in the northern Bay of
Bengal, Cont. Shelf Res., 135, 58–73,
https://doi.org/10.1016/j.csr.2017.01.014, 2017. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p
Krien, Y., Arnaud, G., Cécé, R., Ruf, C., Belmadani, A., Khan, J., Bernard,
D., Islam, A. K. M. S., Durand, F., Testut, L., Palany, P., and Zahibo, N.:
Can We Improve Parametric Cyclonic Wind Fields Using Recent
Satellite Remote Sensing Data?, Remote Sensing, 10, 1963,
https://doi.org/10.3390/rs10121963, 2018. a, b, c
Kumar, T. S., Murty, P., Kumar, M. P., Kumar, M. K., Padmanabham, J., Kumar,
N. K., Shenoi, S., Mohapatra, M., Nayak, S., and Mohanty, P.: Modeling Storm
Surge and its Associated Inland Inundation Extent Due to Very Severe Cyclonic
Storm Phailin, Mar. Geod., 38, 345–360,
https://doi.org/10.1080/01490419.2015.1053640, 2015. a
Kuroda, T., Saito, K., Kunii, M., and Kohno, N.: Numerical Simulations of
Myanmar Cyclone Nargis and the Associated Storm Surge Part I:
Forecast Experiment with a Nonhydrostatic Model and Simulation of
Storm Surge, J. Meteorol. Soc. JPN, 88,
521–545, https://doi.org/10.2151/jmsj.2010-315, 2010. a, b
Lane, E. M., Walters, R. A., Gillibrand, P. A., and Uddstrom, M.: Operational
forecasting of sea level height using an unstructured grid ocean model, Ocean
Model., 28, 88–96, https://doi.org/10.1016/j.ocemod.2008.11.004, 2009. a, b
Lazo, J. K. and Waldman, D. M.: Valuing improved hurricane forecasts, Econ.
Lett., 111, 43–46, https://doi.org/10.1016/j.econlet.2010.12.012, 2011. a
Lazo, J. K., Bostrom, A., Morss, R. E., Demuth, J. L., and Lazrus, H.: Factors
Affecting Hurricane Evacuation Intentions, Risk Anal., 35, 1837–1857,
https://doi.org/10.1111/risa.12407, 2015. a
Lewis, M., Bates, P., Horsburgh, K., Neal, J., and Schumann, G.: A storm surge
inundation model of the northern Bay of Bengal using publicly available
data, Q. J. Roy. Meteorol. Soc., 139, 358–369,
https://doi.org/10.1002/qj.2040, 2013. a
Lin, N. and Chavas, D.: On hurricane parametric wind and applications in storm
surge modeling, J. Geophys. Res.-Atmos., 117, D09120,
https://doi.org/10.1029/2011jd017126,
2012. a, b
Loftis, J. D., Mitchell, M., Schatt, D., Forrest, D. R., Wang, H. V., Mayfield,
D., and Stiles, W. A.: Validating an Operational Flood Forecast Model Using
Citizen Science in Hampton Roads, VA, USA, Journal of Marine Science and
Engineering, 7, 242, https://doi.org/10.3390/jmse7080242, 2019. a
Longuet-Higgins, M. S. and Stewart, R. w.: Radiation stresses in water
waves; a physical discussion, with
applications, Deep Sea Research and Oceanographic Abstracts, 11, 529–562,
https://doi.org/10.1016/0011-7471(64)90001-4, 1962. a
Madsen, H. and Jakobsen, F.: Cyclone induced storm surge and flood forecasting
in the northern Bay of Bengal, Coastal Eng., 51, 277–296,
https://doi.org/10.1016/j.coastaleng.2004.03.001, 2004. a
Magnusson, L., Bidlot, J.-R., Bonavita, M., Brown, A. R., Browne, P. A.,
Chiara, G. D., Dahoui, M., Lang, S. T. K., McNally, T., Mogensen, K. S.,
Pappenberger, F., Prates, F., Rabier, F., Richardson, D. S., Vitart, F., and
Malardel, S.: ECMWF Activities for Improved Hurricane Forecasts,
B. Am. Meteorol. Soc., 100, 445–458,
https://doi.org/10.1175/bams-d-18-0044.1,
2019. a
Melton, G., Gall, M., Mitchell, J. T., and Cutter, S. L.: Hurricane Katrina
storm surge delineation: implications for future storm surge forecasts and
warnings, Nat. Hazards, 54, 519–536, https://doi.org/10.1007/s11069-009-9483-z, 2009. a
Miller, R. J., Schrader, A. J., Sampson, C. R., and Tsui, T. L.: The
Automated Tropical Cyclone Forecasting System (ATCF), Weather
Forecast., 5, 653–660,
https://doi.org/10.1175/1520-0434(1990)005<0653:tatcfs>2.0.co;2, 1990. a
Morss, R. E., Cuite, C. L., Demuth, J. L., Hallman, W. K., and Shwom, R. L.: Is
storm surge scary? The influence of hazard, impact, and fear-based messages
and individual differences on responses to hurricane risks in the USA,
Int. J. Disast. Risk Red., 30, 44–58,
https://doi.org/10.1016/j.ijdrr.2018.01.023, 2018. a
Mukhopadhyay, S., Biswas, H., De, T., and Jana, T.: Fluxes of nutrients from
the tropical River Hooghly at the land–ocean boundary of
Sundarbans, NE Coast of Bay of Bengal, India, J. Marine Syst.,
62, 9–21, https://doi.org/10.1016/j.jmarsys.2006.03.004, 2006. a
Munroe, R., Montz, B., and Curtis, S.: Getting More out of Storm Surge
Forecasts: Emergency Support Personnel Needs in North Carolina, Weather
Clim. Soc., 10, 813–820, https://doi.org/10.1175/wcas-d-17-0074.1, 2018. a
Murty, P. L. N., Sandhya, K. G., Bhaskaran, P. K., Jose, F., Gayathri, R.,
Nair, T. M. B., Kumar, T. S., and Shenoi, S. S. C.: A coupled hydrodynamic
modeling system for PHAILIN cyclone in the Bay of Bengal, Coast.
Eng., 93, 71–81, https://doi.org/10.1016/j.coastaleng.2014.08.006, 2014. a, b, c, d
Murty, P. L. N., Bhaskaran, P. K., Gayathri, R., Sahoo, B., Kumar, T. S., and
SubbaReddy, B.: Numerical study of coastal hydrodynamics using a coupled
model for Hudhud cyclone in the Bay of Bengal, Estuar. Coast.
Shelf S., 183, 13–27, https://doi.org/10.1016/j.ecss.2016.10.013, 2016. a, b
Murty, P. L. N., Padmanabham, J., Kumar, T. S., Kumar, N. K., Chandra, V. R.,
Shenoi, S. S. C., and Mohapatra, M.: Real-time storm surge and inundation
forecast for very severe cyclonic storm “Hudhud”, Ocean Eng., 131,
25–35, https://doi.org/10.1016/j.oceaneng.2016.12.026, 2017. a, b, c
Murty, T. S., Flather, R. A., and Henry, R. F.: The storm surge problem in the
bay of Bengal, Prog. Oceanogr., 16, 195–233,
https://doi.org/10.1016/0079-6611(86)90039-x, 1986. a, b, c, d
National Centers for Environmental Prediction, National Weather Service, NOAA,
U.S. Department of Commerce: NCEP GDAS/FNL 0.25 Degree Global
Tropospheric Analyses and Forecast Grids, Research Data Archive at
the National Center for Atmospheric Research [data set], Computational and Information
Systems Laboratory, Boulder CO,
https://doi.org/10.5065/D65Q4T4Z, 2015. a
Needham, H. F., Keim, B. D., and Sathiaraj, D.: A review of tropical
cyclone-generated storm surges: Global data sources, observations, and
impacts, Rev. Geophys., 53, 545–591, https://doi.org/10.1002/2014rg000477, 2015. a, b
Nowreen, S., Jalal, M. R., and Khan, M. S. A.: Historical analysis of
rationalizing South West coastal polders of Bangladesh, Water Policy,
16, 264–279, https://doi.org/10.2166/wp.2013.172, 2013. a, b
Oliveira, A., Fortunato, A., Rogeiro, J., Teixeira, J., Azevedo, A., Lavaud,
L., Bertin, X., Gomes, J., David, M., Pina, J., Rodrigues, M., and Lopes, P.:
OPENCoastS: An open-access service for the automatic generation of
coastal forecast systems, Environ. Modell. Softw., 124, 104585,
https://doi.org/10.1016/j.envsoft.2019.104585, 2020. a, b, c, d
Paul, B. K.: Why relatively fewer people died? The case of Bangladesh's Cyclone
Sidr, Nat. Hazards, 50, 289–304, https://doi.org/10.1007/s11069-008-9340-5, 2009. a
Paul, B. K. and Dutt, S.: Hazard Warnings and Responses to Evacuation Orders:
the Case of Bangladesh's Cyclone Sidr, Geogr. Rev.,
100, 336–355, https://doi.org/10.1111/j.1931-0846.2010.00040.x, 2010. a, b, c
Pezerat, M., Martins, K., and Bertin, X.: Modelling Storm Waves in the
Nearshore Area Using Spectral Models, J. Coastal Res.,
95, 1240, https://doi.org/10.2112/SI95-240.1, 2020. a, b
Pezerat, M., Bertin, X., Martins, K., Mengual, B., and Hamm, L.: Simulating
storm waves in the nearshore area using spectral model: Current issues and a
pragmatic solution, Ocean Model., 158, 101737,
https://doi.org/10.1016/j.ocemod.2020.101737, 2021. a, b
Ray, R. D.: A global ocean tide model from TOPEX/POSEIDON altimetry:
GOT99. 2, National Aeronautics and Space Administration, Goddard Space
Flight Center, 1999. a
Roland, A., Zhang, Y. J., Wang, H. V., Meng, Y., Teng, Y.-C., Maderich, V.,
Brovchenko, I., Dutour-Sikiric, M., and Zanke, U.: A fully coupled 3D
wave-current interaction model on unstructured grids, J. Geophys.
Res.-Oceans, 117, C00J33, https://doi.org/10.1029/2012jc007952, 2012. a
Roy, C., Sarkar, S. K., Åberg, J., and Kovordanyi, R.: The
current cyclone early warning system in Bangladesh:
Providers' and
receivers' views, Int. J.
Disast. Risk Re., 12, 285–299, https://doi.org/10.1016/j.ijdrr.2015.02.004, 2015. a, b, c
SCHISM development team: SCHISM v5.8, GitHub [code], available at: https://github.com/schism-dev/schism, last access: 15 May 2020. a
Schmidt, S., Kemfert, C., and Höppe, P.: Tropical cyclone losses in the USA
and the impact of climate change – A trend analysis based on data from a
new approach to adjusting storm losses, Environmental Impact Assessment
Review, 29, 359–369, https://doi.org/10.1016/j.eiar.2009.03.003, 2009. a
Seo, S. N. and Bakkensen, L. A.: Is Tropical Cyclone Surge, Not
Intensity, What Kills So Many People in South Asia?, Weather
Clim. Soc., 9, 171–181, https://doi.org/10.1175/wcas-d-16-0059.1, 2017. a
Suh, S. W., Lee, H. Y., Kim, H. J., and Fleming, J. G.: An efficient early
warning system for typhoon storm surge based on time-varying advisories by
coupled ADCIRC and SWAN, Ocean Dynam., 65, 617–646,
https://doi.org/10.1007/s10236-015-0820-3, 2015. a, b
Tallapragada, V., Kieu, C., Kwon, Y., Trahan, S., Liu, Q., Zhang, Z., and Kwon,
I.-H.: Evaluation of Storm Structure from the Operational HWRF during
2012 Implementation, Mon. Weather Rev., 142, 4308–4325,
https://doi.org/10.1175/MWR-D-13-00010.1, 2014. a, b
Tazkia, A. R., Krien, Y., Durand, F., Testut, L., Islam, A. S., Papa, F., and
Bertin, X.: Seasonal modulation of M2 tide in the Northern Bay of
Bengal, Cont. Shelf Res., 137, 154–162,
https://doi.org/10.1016/j.csr.2016.12.008, 2017. a, b
Verlaan, M., Zijderveld, A., Vries, H. d., and Kroos, J.: Operational storm
surge forecasting in the Netherlands: developments in the last decade,
Philosophical Transactions of the Royal Society A: Mathematical, Phys.
Eng. Sci., 363, 1441–1453, https://doi.org/10.1098/rsta.2005.1578, 2005. a
Warner, J. F., van Staveren, M. F., and van Tatenhove, J.: Cutting dikes,
cutting ties? Reintroducing flood dynamics in coastal polders in
Bangladesh and the netherlands, Int. J. Disast. Risk
Re., 32, 106–112, https://doi.org/10.1016/j.ijdrr.2018.03.020, 2018.
a
WW3DG: User manual and system documentation of WAVEWATCH
III TM, GitHub [code], available at: https://github.com/NOAA-EMC/WW3 (last access: 30 May 2020), 2019. a
Yang, K., Paramygin, V. A., and Sheng, Y. P.: A Rapid Forecasting and
Mapping System of Storm Surge and Coastal Flooding, Weather
Forecast., 35, 1663–1681, https://doi.org/10.1175/WAF-D-19-0150.1, 2020. a
Ye, F., Zhang, Y. J., Yu, H., Sun, W., Moghimi, S., Myers, E., Nunez, K.,
Zhang, R., Wang, H. V., Roland, A., Martins, K., Bertin, X., Du, J., and Liu,
Z.: Simulating storm surge and compound flooding events with a creek-to-ocean
model: Importance of baroclinic effects, Ocean Model., 145, 101526,
https://doi.org/10.1016/j.ocemod.2019.101526, 2020. a
Zhang, Y. and Baptista, A. M.: SELFE: A semi-implicit
Eulerian–Lagrangian finite-element model for cross-scale ocean
circulation, Ocean Model., 21, 71–96, https://doi.org/10.1016/j.ocemod.2007.11.005,
2008. a
Zhang, Y. J., Stanev, E. V., and Grashorn, S.: Unstructured-grid model for the
North Sea and Baltic Sea: Validation against observations, Ocean
Model., 97, 91–108, https://doi.org/10.1016/j.ocemod.2015.11.009, 2016a. a
Zhang, Y. J., Ye, F., Stanev, E. V., and Grashorn, S.: Seamless cross-scale
modeling with SCHISM, Ocean Model., 102, 64–81,
https://doi.org/10.1016/j.ocemod.2016.05.002,
2016b. a
Zhang, Y. J., Ye, F., Yu, H., Sun, W., Moghimi, S., Myers, E., Nunez, K.,
Zhang, R., Wang, H., Roland, A., Du, J., and Liu, Z.: Simulating compound
flooding events in a hurricane, Ocean Dynam., 70, 621–640,
https://doi.org/10.1007/s10236-020-01351-x, 2020. a
Short summary
The Bay of Bengal is well known for some of the deadliest cyclones in history. At the same time, storm surge forecasting in this region is physically involved and computationally costly. Here we show a proof of concept of a real-time, computationally efficient, and physically consistent forecasting system with an application to the recent Supercyclone Amphan. While challenges remain, our study paves the path forward to the improvement of the quality of localized forecast and disaster management.
The Bay of Bengal is well known for some of the deadliest cyclones in history. At the same time,...
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