scholarly journals Extreme Wave Analysis by Integrating Model and Wave Buoy Data

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 373 ◽  
Author(s):  
Fabio Dentale ◽  
Pierluigi Furcolo ◽  
Eugenio Pugliese Carratelli ◽  
Ferdinando Reale ◽  
Pasquale Contestabile ◽  
...  
Keyword(s):  
2017 ◽  
Vol 140 ◽  
pp. 79-87 ◽  
Author(s):  
Andrea Sulis ◽  
Riccardo Cozza ◽  
Antonio Annis

2017 ◽  
Vol 17 (3) ◽  
pp. 409-421 ◽  
Author(s):  
Satish Samayam ◽  
Valentina Laface ◽  
Sannasiraj Sannasi Annamalaisamy ◽  
Felice Arena ◽  
Sundar Vallam ◽  
...  

Abstract. Extreme waves influence coastal engineering activities and have an immense geophysical implication. Therefore, their study, observation and extreme wave prediction are decisive for planning of mitigation measures against natural coastal hazards, ship routing, design of coastal and offshore structures. In this study, the estimates of design wave heights associated with return period of 30 and 100 years are dealt with in detail. The design wave height is estimated based on four different models to obtain a general and reliable model. Different locations are considered to perform the analysis: four sites in Indian waters (two each in Bay of Bengal and the Arabian Sea), one in the Mediterranean Sea and two in North America (one each in North Pacific Ocean and the Gulf of Maine). For the Indian water domain, European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis ERA-Interim wave hindcast data covering a period of 36 years have been utilized for this purpose. For the locations in Mediterranean Sea and North America, both ERA-Interim wave hindcast and buoy data are considered. The reasons for the variation in return value estimates of the ERA-Interim data and the buoy data using different estimation models are assessed in detail.


1994 ◽  
Vol 32 (6) ◽  
pp. 803-814 ◽  
Author(s):  
Martin Mathiesen ◽  
Yoshimi Goda ◽  
Peter J. Hawkes ◽  
Etienne Mansard ◽  
María Jesús Martín ◽  
...  
Keyword(s):  

Author(s):  
Bin Li ◽  
Chris A. Fleming ◽  
P. D. Cotton

2014 ◽  
Vol 2 (6) ◽  
pp. 4363-4391 ◽  
Author(s):  
P. V. Guimarães ◽  
L. Farina ◽  
E. Toldo

Abstract. Using the model SWAN, high waves on the Southwestern Atlantic generated by extra-tropical cyclones are simulated from 2000 to 2010 and their impact on the Rio Grande do Sul coast is studied. The modeled waves are compared with buoy data and good agreement is found. The six extreme events in the period which presented significant wave heights above 5 m, on a particular point of interest, are investigated in detail. It is found that the cyclogenetic pattern between the latitudes 31.5 and 34° S, is the most favorable for developing high waves. Hovmöller diagrams for deep water show that the region between the south of Rio Grande do Sul up to latitude 31.5° S is the most energetic during a cyclone's passage, although the event of May 2008 indicate that the location of this region can vary, depending on the cyclone's displacement. On the oher hand, the Hovmöller diagrams for shallow water show that the different shoreface morphologies were responsable for focusing or dissipating the waves' energy; the regions found are in agreement with the observations of erosion and progradation regions. It can be concluded that some of the urban areas of the beaches of Hermenegildo, Cidreira, Pinhal, Tramandaí, Imbé and Torres have been more exposed during the extreme wave events at Rio Grande do Sul coast, and are more vulnerable to this natural hazard.


Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1201
Author(s):  
Ferdinando Reale ◽  
Fabio Dentale ◽  
Pierluigi Furcolo ◽  
Angela Di Leo ◽  
Eugenio Pugliese Carratelli

Calculating the significant wave height (SWH) in a given location as a function of the return time is an essential tool of coastal and ocean engineering; such a calculation can be carried out by making use of the now widely available weather and wave model chains, which often lead to underestimating the results, or by means of in situ experimental data (mostly, wave buoys), which are only available in a limited number of sites. A procedure is hereby tested whereby the curves of extreme SWH as a function of the return time deriving from model data are integrated with the similar curves computed from buoy data. A considerable improvement in accuracy is gained by making use of this integrated procedure in all locations where buoy data series are not available or are not long enough for a correct estimation. A useful and general design tool has therefore been provided to derive the extreme value SWH for any point in a given area.


2016 ◽  
Author(s):  
Satish Samayam ◽  
Valentina Laface ◽  
Sannasiraj Sannasi Annamalaisamy ◽  
Felice Arena ◽  
Sundar Vallam ◽  
...  

Abstract. Extreme waves influence coastal engineering activities and have an immense geophysical implication. Therefore, their study, observation and extreme wave prediction are decisive for planning for mitigation measures against natural coastal hazards, ship routing, design of coastal and offshore structures. In this study, the estimates of design wave heights associated with return period of 30 and 100 years are dealt with in detail. The design wave height is estimated based on four different models to obtain a general and reliable model. Different locations are considered to perform the analysis: four sites in Indian waters, one in Mediterranean Sea and two in North America. For the Indian water domain European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis ERA-interim wave hind cast data covering a period of 36 years have been utilized for this purpose. For the locations in Mediterranean Sea and North America both ERA-interim wave hind cast and buoy data are considered. The reasons for the variation in return value estimates of the ERA-interim data and the buoy data using different estimation models are assessed in detail.


Author(s):  
Ryota Wada ◽  
Takuji Waseda

Abstract Accurate estimation of extreme wave condition is desired for the rational design of offshore structures, but the estimation results are known to have uncertainty from various sources. The quality and quantity of the available extreme wave data differ among ocean regions since the atmospheric causes of extreme waves are not identical. This paper provides insight into how the different extreme wave behaviors influence the uncertainty of extreme wave estimation at each location. A review of extreme waves in four regions, namely the Gulf of Mexico, North West Pacific, Adriatic Sea, and the North Sea, revealed the difference in data uncertainty, shape parameter, and frequency of occurrence. The likelihood-weighted method was introduced to quantitatively assess the impact of each parameter on the uncertainty of extreme wave analysis. Case study based on representative parameters of the Gulf of Mexico and the North Sea revealed the large epistemic uncertainty for a region dominated by tropical cyclones. The assessment conducted in this paper is unique as it evaluates the epistemic uncertainty inherited in the extreme sample data. When the epistemic uncertainty is large, such as the case illustrated for the Gulf of Mexico, the variance from different approaches may not be significant against the epistemic uncertainty inherited in the sample data.


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