2018
DOI: 10.1016/j.oceaneng.2018.01.080
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Variability of wave parameters and H/H relationship under storm conditions offshore the Portuguese continental coast

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Cited by 27 publications
(14 citation statements)
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“…It is difficult to know H max with precision because although the population of waves approximates a Rayleigh distribution, the upper tail does not conform (e.g., Krogstad, 1985), and the H max /H s ratio varies with the number of waves considered (Michel, 1999). Generally, however, when computed on intervals of 20 min to an hour (the common integration time for buoy data), H max is approximately 2 H s (Krogstad, 1985;Cattrell et al, 2018;Oliveira et al, 2018).…”
Section: Data Availability Statementmentioning
confidence: 99%
“…It is difficult to know H max with precision because although the population of waves approximates a Rayleigh distribution, the upper tail does not conform (e.g., Krogstad, 1985), and the H max /H s ratio varies with the number of waves considered (Michel, 1999). Generally, however, when computed on intervals of 20 min to an hour (the common integration time for buoy data), H max is approximately 2 H s (Krogstad, 1985;Cattrell et al, 2018;Oliveira et al, 2018).…”
Section: Data Availability Statementmentioning
confidence: 99%
“…A storm is defined here as a period of consecutive records with significant heights (H s ) exceeding a predefined threshold during a minimum period of six hours following Oliveira et al (2018). To distinguish between successive storms, a minimum storm inter-event separation of six hours was considered (Oliveira et al, 2018).…”
Section: Assessment Of Wind and Wave Climate Indicatorsmentioning
confidence: 99%
“…A storm is defined here as a period of consecutive records with significant heights (H s ) exceeding a predefined threshold during a minimum period of six hours following Oliveira et al (2018). To distinguish between successive storms, a minimum storm inter-event separation of six hours was considered (Oliveira et al, 2018). The H s predefined threshold was selected based on Oliveira et al (2018), previous works evaluating the morphological impact at an adjacent beach (Plomaritis et al, 2018), and applying the storm wave height criteria proposed by Masselink et al (2014), which defines a storm as an event where the significant wave height H s exceeded the 0.95 quantile (i.e.…”
Section: Assessment Of Wind and Wave Climate Indicatorsmentioning
confidence: 99%
“…The offshore wave climate in Figueira da Foz is characterized by waves coming, predominantly, from the northwest quadrant with mean significant wave heights of 2-2.5 m and mean wave periods of 5-9 s in deep waters [23]. According to [24], the annual number of storms varied over the years, but January and February are the months with the highest average number (1.52 storms per month). This wave climatology results in a strong southward potential littoral drift estimated at about 1 × 10 6 m 3 ·year −1 [25][26][27].…”
Section: Study Areamentioning
confidence: 99%
“…The identification of storm events in the chosen periods was made following the criteria of [24], i.e., significant wave height higher than 4 m and duration higher than 12 h. For each storm event the power storm index (PSI) was estimated according to [48]:…”
Section: Wave Climate Datamentioning
confidence: 99%