Articles | Volume 17, issue 10
https://doi.org/10.5194/nhess-17-1763-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-1763-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Oct 2017
Research article |
| 19 Oct 2017
Variations in return value estimate of ocean surface waves – a study based on measured buoy data and ERA-Interim reanalysis data
T. Muhammed Naseef
Ocean Engineering Division, Council
of Scientific and Industrial Research (CSIR)–National Institute of Oceanography, Dona Paula 403 004, India
V. Sanil Kumar
CORRESPONDING AUTHOR
Ocean Engineering Division, Council
of Scientific and Industrial Research (CSIR)–National Institute of Oceanography, Dona Paula 403 004, India
Related authors
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M. M. Amrutha and V. Sanil Kumar
Ocean Sci. Discuss., https://doi.org/10.5194/os-2017-84, https://doi.org/10.5194/os-2017-84, 2017
Revised manuscript has not been submitted
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Surface wind-waves properties during Indian summer monsoon is investigated based on measured data at 9-15 m water depth at 4 sites in nearshore waters of the eastern Arabian Sea. Significant wave height varied from 0.7 to 5.5 m with average ratio of crest height of wave to height of the same wave as 0.58 to 0.67. Extreme crest height is 1.23 to 1.35 times significant wave height. Measured waves were predominantly swell. Numerical wave model could estimate the wave height well during wave growth.
M. M. Amrutha and V. Sanil Kumar
Ocean Sci., 13, 703–717, https://doi.org/10.5194/os-13-703-2017, https://doi.org/10.5194/os-13-703-2017, 2017
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Waves measured at 12 m in the near-shore waters of the Gulf of Mannar for a 1-year period are used to examine the predominance of wind seas and swells through spectral characterization. The waves of the study region are under the control of sea breeze, with the maximum in the late evening and the minimum in the early morning. A total of 53 % of the surface height variance in the study area results from swells from the southeast and south; the remainder are wind seas from the east and southeast.
M. Anjali Nair and V. Sanil Kumar
Ocean Sci., 13, 365–378, https://doi.org/10.5194/os-13-365-2017, https://doi.org/10.5194/os-13-365-2017, 2017
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The information on wave spectral shapes that is required for designing marine structures is presented based on wave data collected from January 2011 to December 2015 in the coastal waters of the eastern Arabian Sea. The variations in the high-frequency tail of the wave spectrum in different months are presented. The slope of the high-frequency tail of the monthly average wave spectra is high during the Indian summer monsoon period (June–September) compared to other months.
M. M. Amrutha and V. Sanil Kumar
Ann. Geophys., 34, 1197–1208, https://doi.org/10.5194/angeo-34-1197-2016, https://doi.org/10.5194/angeo-34-1197-2016, 2016
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This study examines variation in wave power off the central west coast of India at water depths 30, 9 and 5 m based on buoy measured data. The study shows a significant reduction (~ 10–27 %) in wave power at 9 m depth compared to 30 m and the power at 5 m depth is 20–23 % less than that at 9 m. At 9 m water depth, the mean annual wave power is 6 kW m−1 and interannual variations up to 19.3 % are observed during 2009–2014; 75 % of the total annual wave energy is from this narrow directional sector.
V. Sanil Kumar and Jesbin George
Ann. Geophys., 34, 871–885, https://doi.org/10.5194/angeo-34-871-2016, https://doi.org/10.5194/angeo-34-871-2016, 2016
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Influence of monsoon variability on the surface waves using measured data covering 7 years and reanalysis data from 1979 to 2015 during the Indian summer monsoon in the eastern Arabian Sea is examined. A high positive correlation (r ~ 0.84) between average low-level jet for the block 0–15° N, 50–75° E and wave height of eastern Arabian Sea is observed in all months except August. The monsoon seasonal average wave height is found to be relatively low during the strong El Niño years.
T. R. Anoop, V. Sanil Kumar, P. R. Shanas, J. Glejin, and M. M. Amrutha
Ocean Sci., 12, 369–378, https://doi.org/10.5194/os-12-369-2016, https://doi.org/10.5194/os-12-369-2016, 2016
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Using measured, modeled and reanalysis wave data and reanalysis wind data, we show that the Indian Ocean Dipole (IOD) plays a role in the variability of wave climate of the eastern Arabian Sea (AS). The change in wind field over the AS due to IOD influences the generation or dissipation of wave field and hence causes the decrease in northwest short period waves during positive IOD and increase during negative IOD.
M. M. Amrutha, V. Sanil Kumar, and J. Singh
Ann. Geophys., 34, 215–226, https://doi.org/10.5194/angeo-34-215-2016, https://doi.org/10.5194/angeo-34-215-2016, 2016
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The nearshore wave characteristics are presented during the active sea/land breeze period based on data measured at 5 m and 15 m water depth in the eastern Arabian Sea. Prior to the sea breeze, the wave field is dominated by swell and during the sea breeze, wind-sea dominates with superimposed swell. Reduction in the wave height of wind-sea is around 20 % and that of the swell is around 10 % from 15 m to 5 m water depth.
V. Sanil Kumar and M. Anjali Nair
Ann. Geophys., 33, 159–167, https://doi.org/10.5194/angeo-33-159-2015, https://doi.org/10.5194/angeo-33-159-2015, 2015
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Inter-annual variations in wave spectrum are examined at 9m water depth from 2009 to 2012 based on measured data. Variations in the wave spectrum are observed inter-annually from January to February, May and October to November due to the changes in wind sea. Average wave spectrum during the monsoon is single peaked; during non-monsoon period, two peaks are observed. Due to sea breeze an increase in spectral energy of the wind-sea part is observed between 15 and 18 UTC from February to April.
M. M. Amrutha, V. Sanil Kumar, T. R. Anoop, T. M. Balakrishnan Nair, A. Nherakkol, and C. Jeyakumar
Ann. Geophys., 32, 1073–1083, https://doi.org/10.5194/angeo-32-1073-2014, https://doi.org/10.5194/angeo-32-1073-2014, 2014
P. R. Shanas and V. Sanil Kumar
Nat. Hazards Earth Syst. Sci., 14, 1371–1381, https://doi.org/10.5194/nhess-14-1371-2014, https://doi.org/10.5194/nhess-14-1371-2014, 2014
V. Sanil Kumar and T. R. Anoop
Ann. Geophys., 31, 1817–1827, https://doi.org/10.5194/angeo-31-1817-2013, https://doi.org/10.5194/angeo-31-1817-2013, 2013
J. Glejin, V. Sanil Kumar, T. M. Balakrishnan Nair, and J. Singh
Ocean Sci., 9, 343–353, https://doi.org/10.5194/os-9-343-2013, https://doi.org/10.5194/os-9-343-2013, 2013
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Ekaterina Didenkulova, Ira Didenkulova, and Igor Medvedev
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-215, https://doi.org/10.5194/nhess-2022-215, 2022
Revised manuscript accepted for NHESS
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The paper is dedicated to freak wave accidents which happened in the World Ocean in 2005–2021 and were described in mass media sources. The database accounts for 429 events, all of which resulted in ship or coastal/offshore structure damage and/or human losses. In correspondence to each freak wave event we put background wave and wind parameters extracted from the climate reanalysis ERA5. We analyze their statistics and discuss the favorable conditions of freak wave occurrence.
Alexander Müller, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-223, https://doi.org/10.5194/nhess-2022-223, 2022
Preprint under review for NHESS
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Jorge León, Alejandra Gubler, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 22, 2857–2878, https://doi.org/10.5194/nhess-22-2857-2022, https://doi.org/10.5194/nhess-22-2857-2022, 2022
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Our research focuses on how the geophysical characteristics of coastal cities can determine evacuees' vulnerability during a tsunami evacuation. We identify, analyse, and rank some of those essential characteristics by examining seven case studies in Chile through computer-based inundation, evacuation, and statistical regressive modelling. These results could lead to urban planning guidelines to enhance future evacuations and increase resilience to global tsunamis.
Azucena Román-de la Sancha, Rodolfo Silva, Omar S. Areu-Rangel, Manuel Gerardo Verduzco-Zapata, Edgar Mendoza, Norma Patricia López-Acosta, Alexandra Ossa, and Silvia García
Nat. Hazards Earth Syst. Sci., 22, 2589–2609, https://doi.org/10.5194/nhess-22-2589-2022, https://doi.org/10.5194/nhess-22-2589-2022, 2022
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Tien-Chi Liu, Tso-Ren Wu, and Shu-Kun Hsu
Nat. Hazards Earth Syst. Sci., 22, 2517–2530, https://doi.org/10.5194/nhess-22-2517-2022, https://doi.org/10.5194/nhess-22-2517-2022, 2022
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The findings from historical reports and numerical studies suggest the 1781 Jiateng Harbor flooding and the 1782 tsunami should be two independent incidents. Local tsunamis generated in southwest Taiwan could be responsible for the 1781 flooding, while the existence of the 1782 tsunami remains doubtful. With the documents of a storm event on 22 May 1782, the possibility that the significant water level of the 1782 tsunami was caused by storm surges or multiple hazards could not be ignored.
Mariana C. A. Clare, Tim W. B. Leijnse, Robert T. McCall, Ferdinand L. M. Diermanse, Colin J. Cotter, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 22, 2491–2515, https://doi.org/10.5194/nhess-22-2491-2022, https://doi.org/10.5194/nhess-22-2491-2022, 2022
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Elke Magda Inge Meyer, Ralf Weisse, Iris Grabemann, Birger Tinz, and Robert Scholz
Nat. Hazards Earth Syst. Sci., 22, 2419–2432, https://doi.org/10.5194/nhess-22-2419-2022, https://doi.org/10.5194/nhess-22-2419-2022, 2022
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The severe storm tide of 13 March 1906 is still one of the most severe storm events for the East Frisian coast. Water levels from this event are considered for designing dike lines. For the first time, we investigate this event with a hydrodynamic model by forcing with atmospheric data from 147 ensemble members from century reanalysis projects and a manual reconstruction of the synoptic situation. Water levels were notably high due to a coincidence of high spring tides and high surge.
Julius Schlumberger, Christian Ferrarin, Sebastiaan N. Jonkman, Manuel Andres Diaz Loaiza, Alessandro Antonini, and Sandra Fatorić
Nat. Hazards Earth Syst. Sci., 22, 2381–2400, https://doi.org/10.5194/nhess-22-2381-2022, https://doi.org/10.5194/nhess-22-2381-2022, 2022
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Flooding has serious impacts on the old town of Venice. This paper presents a framework combining a flood model with a flood-impact model to support improving protection against future floods in Venice despite the recently built MOSE barrier. Applying the framework to seven plausible flood scenarios, it was found that individual protection has a significant damage-mediating effect if the MOSE barrier does not operate as anticipated. Contingency planning thus remains important in Venice.
Md Jamal Uddin Khan, Fabien Durand, Kerry Emanuel, Yann Krien, Laurent Testut, and A. K. M. Saiful Islam
Nat. Hazards Earth Syst. Sci., 22, 2359–2379, https://doi.org/10.5194/nhess-22-2359-2022, https://doi.org/10.5194/nhess-22-2359-2022, 2022
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Cyclonic storm surges constitute a major threat to lives and properties along the vast coastline of the Bengal delta. From a combination of cyclone and storm surge modelling, we present a robust probabilistic estimate of the storm surge flooding hazard under the current climate. The estimated extreme water levels vary regionally, and the inland flooding is strongly controlled by the embankments. More than 1/10 of the coastal population is currently exposed to 50-year return period flooding.
Hanqing Xu, Zhan Tian, Laixiang Sun, Qinghua Ye, Elisa Ragno, Jeremy Bricker, Ganquan Mao, Jinkai Tan, Jun Wang, Qian Ke, Shuai Wang, and Ralf Toumi
Nat. Hazards Earth Syst. Sci., 22, 2347–2358, https://doi.org/10.5194/nhess-22-2347-2022, https://doi.org/10.5194/nhess-22-2347-2022, 2022
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A hydrodynamic model and copula methodology were used to set up a joint distribution of the peak water level and the inland rainfall during tropical cyclone periods, and to calculate the marginal contributions of the individual drivers. The results indicate that the relative sea level rise has significantly amplified the peak water level. The astronomical tide is the leading driver, followed by the contribution from the storm surge.
Carlos Corela, Afonso Loureiro, José Luis Duarte, Luis Matias, Tiago Rebelo, and Tiago Bartolomeu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-196, https://doi.org/10.5194/nhess-2022-196, 2022
Preprint under review for NHESS
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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.
Tim Willem Bart Leijnse, Alessio Giardino, Kees Nederhoff, and Sofia Caires
Nat. Hazards Earth Syst. Sci., 22, 1863–1891, https://doi.org/10.5194/nhess-22-1863-2022, https://doi.org/10.5194/nhess-22-1863-2022, 2022
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Deriving reliable estimates of design conditions resulting from tropical cyclones is a challenge of high relevance to coastal engineering. Here, having few historical observations is overcome by using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) to create thousands of synthetic realizations, representative of 1000 years of tropical cyclone activity for the Bay of Bengal. The use of synthetic tracks is shown to provide more reliable wind speed, storm surge and wave estimates.
Wei Chen, Joanna Staneva, Sebastian Grayek, Johannes Schulz-Stellenfleth, and Jens Greinert
Nat. Hazards Earth Syst. Sci., 22, 1683–1698, https://doi.org/10.5194/nhess-22-1683-2022, https://doi.org/10.5194/nhess-22-1683-2022, 2022
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This study links the occurrence and persistence of density stratification in the southern North Sea to the increased number of extreme marine heat waves. The study further identified the role of the cold spells at the early stage of a year to the intensity of thermal stratification in summer. In a broader context, the research will have fundamental significance for further discussion of the secondary effects of heat wave events, such as in ecosystems, fisheries, and sediment dynamics.
Raquel P. Felix, Judith A. Hubbard, Kyle E. Bradley, Karen H. Lythgoe, Linlin Li, and Adam D. Switzer
Nat. Hazards Earth Syst. Sci., 22, 1665–1682, https://doi.org/10.5194/nhess-22-1665-2022, https://doi.org/10.5194/nhess-22-1665-2022, 2022
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The Flores Thrust lies along the north coasts of Bali and Lombok. We model how an earthquake on this fault could trigger a tsunami that would impact the regional capital cities of Mataram and Denpasar. We show that for 3–5 m of slip on the fault (a Mw 7.5–7.9+ earthquake), the cities would experience a wave ca. 1.6–2.7 and ca. 0.6–1.4 m high, arriving in < 9 and ca. 23–27 min, respectively. They would also experience subsidence of 20–40 cm, resulting in long-term exposure to coastal hazards.
Keighobad Jafarzadegan, David F. Muñoz, Hamed Moftakhari, Joseph L. Gutenson, Gaurav Savant, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 22, 1419–1435, https://doi.org/10.5194/nhess-22-1419-2022, https://doi.org/10.5194/nhess-22-1419-2022, 2022
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The high population settled in coastal regions and the potential damage imposed by coastal floods highlight the need for improving coastal flood hazard assessment techniques. This study introduces a topography-based approach for rapid estimation of flood hazard areas in the Savannah River delta. Our validation results demonstrate that, besides the high efficiency of the proposed approach, the estimated areas accurately overlap with reference flood maps.
Kenta Tozato, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada, Yu Otake, Yo Fukutani, Kazuya Nojima, Masaaki Sakuraba, and Hiromu Yokosu
Nat. Hazards Earth Syst. Sci., 22, 1267–1285, https://doi.org/10.5194/nhess-22-1267-2022, https://doi.org/10.5194/nhess-22-1267-2022, 2022
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This study presents a novel framework for rapid tsunami force predictions through the application of mode-decomposition-based surrogate modeling with 2D–3D coupled numerical simulations. A numerical example is presented to demonstrate the applicability of the proposed framework to one of the tsunami-affected areas during the Great East Japan Earthquake of 2011.
Yuchen Wang, Mohammad Heidarzadeh, Kenji Satake, and Gui Hu
Nat. Hazards Earth Syst. Sci., 22, 1073–1082, https://doi.org/10.5194/nhess-22-1073-2022, https://doi.org/10.5194/nhess-22-1073-2022, 2022
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Tsunami waveforms contain the features of its source, propagation path, and local topography. On 4 March 2021, two tsunamis were generated by earthquakes in the Kermadec Islands, New Zealand, within 2 h. This rare case gives us a valuable opportunity to study the characteristics of two tsunamis. We analyzed the records of two tsunamis at tide gauges with spectral analysis tools. It is found that two tsunamis superpose during the few hours after the arrival of the second tsunami.
Shuyun Dong, Wayne J. Stephenson, Sarah Wakes, Zhongyuan Chen, and Jianzhong Ge
Nat. Hazards Earth Syst. Sci., 22, 931–945, https://doi.org/10.5194/nhess-22-931-2022, https://doi.org/10.5194/nhess-22-931-2022, 2022
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Mesoscale simulation provides a general approach that could be implemented to fulfill the purpose of planning and has relatively low requirements for computation time and data while still providing reasonable accuracy. The method is generally applicable to all coastal cities around the world for examining the effect of future climate change on typhoon-generated storm surge even where historical observed data are inadequate or not available.
Chatuphorn Somphong, Anawat Suppasri, Kwanchai Pakoksung, Tsuyoshi Nagasawa, Yuya Narita, Ryunosuke Tawatari, Shohei Iwai, Yukio Mabuchi, Saneiki Fujita, Shuji Moriguchi, Kenjiro Terada, Cipta Athanasius, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 22, 891–907, https://doi.org/10.5194/nhess-22-891-2022, https://doi.org/10.5194/nhess-22-891-2022, 2022
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The majority of past research used hypothesized landslides to simulate tsunamis, but they were still unable to properly explain the observed data. In this study, submarine landslides were simulated by using a slope-failure-theory-based numerical model for the first time. The findings were verified with post-event field observational data. They indicated the potential presence of submarine landslide sources in the southern part of the bay and were consistent with the observational tsunamis.
Lea Uebelhoer, William Koon, Mitchell D. Harley, Jasmin C. Lawes, and Robert W. Brander
Nat. Hazards Earth Syst. Sci., 22, 909–926, https://doi.org/10.5194/nhess-22-909-2022, https://doi.org/10.5194/nhess-22-909-2022, 2022
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Beachgoers at unpatrolled Australian beaches were surveyed to gain an understanding of their demographics, beach safety knowledge, and behaviour. Most visited unpatrolled beaches out of convenience and because they wanted to visit a quiet location. Despite being infrequent beachgoers, with poor swimming and hazard identification skills, most intended to enter the water. Authorities should go beyond the
swim between the flagssafety message, as people will always swim at unpatrolled beaches.
Ryuichi Kanai, Masashi Kamogawa, Toshiyasu Nagao, Alan Smith, and Serge Guillas
Nat. Hazards Earth Syst. Sci., 22, 849–868, https://doi.org/10.5194/nhess-22-849-2022, https://doi.org/10.5194/nhess-22-849-2022, 2022
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The air pressure created by a tsunami causes a depression in the electron density in the ionosphere. The depression is measured at sparsely distributed, moving GPS satellite locations. We provide an estimate of the volume of the depression. When applied to the 2011 Tohoku-Oki earthquake in Japan, our method can warn of a tsunami event within 15 min of the earthquake, even when using only 5 % of the data. Thus satellite-based warnings could be implemented across the world with our approach.
Riccardo Alvise Mel, Teresa Lo Feudo, Massimo Miceli, Salvatore Sinopoli, and Mario Maiolo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-67, https://doi.org/10.5194/nhess-2022-67, 2022
Manuscript not accepted for further review
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In this work we present a coupled modelling system to compute the wind climate and the hydrodynamic two-dimensional field in coastal areas, with particular reference to the Marine Experimental Station of Capo Tirone (Italy). We combined sea level rise and extreme storm projections with the most recent georeferenced territorial data.
Milla M. Johansson, Jan-Victor Björkqvist, Jani Särkkä, Ulpu Leijala, and Kimmo K. Kahma
Nat. Hazards Earth Syst. Sci., 22, 813–829, https://doi.org/10.5194/nhess-22-813-2022, https://doi.org/10.5194/nhess-22-813-2022, 2022
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We analysed the correlation of sea level and wind waves at a coastal location in the Gulf of Finland using tide gauge data, wave measurements, and wave simulations. The correlation was positive for southwesterly winds and negative for northeasterly winds. Probabilities of high total water levels (sea level + wave crest) are underestimated if sea level and waves are considered independent. Suitably chosen copula functions can account for the dependence.
Jairo E. Cueto, Luis J. Otero Díaz, Silvio R. Ospino-Ortiz, and Alec Torres-Freyermuth
Nat. Hazards Earth Syst. Sci., 22, 713–728, https://doi.org/10.5194/nhess-22-713-2022, https://doi.org/10.5194/nhess-22-713-2022, 2022
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We investigate the importance of morphodynamics on flooding estimation during storms with sea level rise conditions on a microtidal beach. XBeach and SWAN were the numerical models used to test several case studies. The results indicate that numerical modeling of flooding should be approached by considering morphodynamics; ignoring them can underestimate flooding by ~ 15 %. Moreover, beach erosion and flooding are intensified by sea level rise and high tides in ~ 69 % and ~ 65 %, respectively.
Matthew W. Hayward, Colin N. Whittaker, Emily M. Lane, William L. Power, Stéphane Popinet, and James D. L. White
Nat. Hazards Earth Syst. Sci., 22, 617–637, https://doi.org/10.5194/nhess-22-617-2022, https://doi.org/10.5194/nhess-22-617-2022, 2022
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Volcanic eruptions can produce tsunamis through multiple mechanisms. We present validation cases for a numerical method used in simulating waves caused by submarine explosions: a laboratory flume experiment and waves generated by explosions at field scale. We then demonstrate the use of the scheme for simulating analogous volcanic eruptions, illustrating the resulting wavefield. We show that this scheme models such dispersive sources more proficiently than standard tsunami models.
Ario Muhammad, Katsuichiro Goda, and Maximilian J. Werner
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-59, https://doi.org/10.5194/nhess-2022-59, 2022
Revised manuscript has not been submitted
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This study develops a novel framework of time-dependent (TD) probabilistic tsunami hazard analysis (PTHA) combining a total of ≥ 100,000 spatiotemporal earthquakes (EQ) rupture models and 6,300 probabilistic tsunami simulations to evaluate the tsunami hazards and compare them with the time-independent (TI) PTHA results. The proposed model can capture the uncertainty of future TD tsunami hazards and produces slightly higher hazard estimates than the TI model for short-term periods (< 30 years).
Ryota Wada, Jeremy Rohmer, Yann Krien, and Philip Jonathan
Nat. Hazards Earth Syst. Sci., 22, 431–444, https://doi.org/10.5194/nhess-22-431-2022, https://doi.org/10.5194/nhess-22-431-2022, 2022
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Characterizing extreme wave environments caused by tropical cyclones in the Caribbean Sea near Guadeloupe is difficult because cyclones rarely pass near the location of interest. STM-E (space-time maxima and exposure) model utilizes wave data during cyclones on a spatial neighbourhood. Long-duration wave data generated from a database of synthetic tropical cyclones are used to evaluate the performance of STM-E. Results indicate STM-E provides estimates with small bias and realistic uncertainty.
Manuel Andres Diaz Loaiza, Jeremy D. Bricker, Remi Meynadier, Trang Minh Duong, Rosh Ranasinghe, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 22, 345–360, https://doi.org/10.5194/nhess-22-345-2022, https://doi.org/10.5194/nhess-22-345-2022, 2022
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Extratropical cyclones are one of the major causes of coastal floods in Europe and the world. Understanding the development process and the flooding of storm Xynthia, together with the damages that occurred during the storm, can help to forecast future losses due to other similar storms. In the present paper, an analysis of shallow water variables (flood depth, velocity, etc.) or coastal variables (significant wave height, energy flux, etc.) is done in order to develop damage curves.
Sunna Kupfer, Sara Santamaria-Aguilar, Lara van Niekerk, Melanie Lück-Vogel, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 22, 187–205, https://doi.org/10.5194/nhess-22-187-2022, https://doi.org/10.5194/nhess-22-187-2022, 2022
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In coastal regions, flooding can occur from combined tides, storms, river discharge, and waves. Effects of waves are commonly neglected when assessing flooding, although these may strongly contribute to extreme water levels. We find that waves combined with tides and river discharge at Breede Estuary, South Africa, increased flood extent and depth and caused earlier flooding than when waves were neglected. This highlights the need to consider all major flood drivers in future flood assessments.
Xin Liu, Insa Meinke, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 22, 97–116, https://doi.org/10.5194/nhess-22-97-2022, https://doi.org/10.5194/nhess-22-97-2022, 2022
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Storm surges represent a threat to low-lying coastal areas. In the aftermath of severe events, it is often discussed whether the events were unusual. Such information is not readily available from observations but needs contextualization with long-term statistics. An approach that provides such information in near real time was developed and implemented for the German coast. It is shown that information useful for public and scientific debates can be provided in near real time.
Christopher H. Lashley, Sebastiaan N. Jonkman, Jentsje van der Meer, Jeremy D. Bricker, and Vincent Vuik
Nat. Hazards Earth Syst. Sci., 22, 1–22, https://doi.org/10.5194/nhess-22-1-2022, https://doi.org/10.5194/nhess-22-1-2022, 2022
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Many coastlines around the world have shallow foreshores (e.g. salt marshes and mudflats) that reduce storm waves and the risk of coastal flooding. However, most of the studies that tried to quantify this effect have excluded the influence of very long waves, which often dominate in shallow water. Our newly developed framework addresses this oversight and suggests that safety along these coastlines may be overestimated, since these very long waves are largely neglected in flood risk assessments.
Changbin Lim, Tae Kon Kim, Sahong Lee, Yoon Jeong Yeon, and Jung Lyul Lee
Nat. Hazards Earth Syst. Sci., 21, 3827–3842, https://doi.org/10.5194/nhess-21-3827-2021, https://doi.org/10.5194/nhess-21-3827-2021, 2021
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This study aimed to quantitatively assess erosion risk. Methods for assessing each potential were proposed, and the corresponding erosion risk was calculated by introducing a combined potential erosion risk curve presenting the erosion consequence. In addition the method for verifying the risk was examined for the east coast of South Korea. We believe that our study makes a significant contribution to the literature and plays a key role in identifying methods that prevent erosion.
Gaia Mattei, Diana Di Luccio, Guido Benassai, Giorgio Anfuso, Giorgio Budillon, and Pietro Aucelli
Nat. Hazards Earth Syst. Sci., 21, 3809–3825, https://doi.org/10.5194/nhess-21-3809-2021, https://doi.org/10.5194/nhess-21-3809-2021, 2021
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This study examines the characteristics of a destructive marine storm in the strongly inhabited coastal area of the Gulf of Naples, along the Italian coast of the Tyrrhenian Sea, which is highly vulnerable to marine storms due to the accelerated relative sea level rise trend and the increased anthropogenic impact on the coastal area. Finally, a first assessment of the return period of this event was evaluated using local press reports on damage to urban furniture and port infrastructures.
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Short summary
Assessment of design waves is performed using generalized extreme value (GEV) and generalized Pareto distribution (GPD) based on buoy data for 8 years and ERA-Interim reanalysis data for 38 years. The initial distribution method underestimates return levels compared to GPD. Intercomparison of return levels by block maxima and r-largest method for GEV theory shows that return level for 100 years is 7.24 m by r-largest series. A single storm can cause a large difference in the 100-year Hs value.
Assessment of design waves is performed using generalized extreme value (GEV) and generalized...
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