The analysis of long-term trends in time series of wave parameters has an high engineering relevance. These trends may affect the estimates of parameters with high return period that are used for the design of several engineering projects. This work analyses the use of linear regressions for detecting and quantifying long-term trends in time...
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2020 (v1)PublicationUploaded on: April 14, 2023
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2023 (v1)Publication
The interest for the impact of climate change on ocean waves within the Mediterranean Sea has motivated a number of studies aimed at identifying trends in sea states parameters from historical multi-decadal wave records. In the last two decades progress in computing and the availability of suitable time series from observations further...
Uploaded on: February 16, 2024 -
2019 (v1)Publication
Coastal vulnerability is evaluated against inundation risk triggered by wave run-up through the evaluation of vulnerability levels (referred to as VLs) introduced by Bosom and Jiménez (2011). VLs are assessed through different wave climate characterizations, referring to regional (offshore wave climate) or local (nearshore wave climate) scales....
Uploaded on: April 14, 2023 -
2017 (v1)Publication
Most Coastal and Offshore Engineering applications have to deal with the extreme waves, estimated by an extreme value model, a statistical approach that uses the available wave data to estimate physical extremes. The usual lack of reliable long-term wave datasets, implies the need to give particular attention to the usage of the results...
Uploaded on: March 27, 2023 -
2021 (v1)Publication
Microseisms are used to estimate significant sea wave heights (Hs) in different parts of the world and also during extreme events (e.g., typhoons and hurricanes), as they are generated by the effect of sea waves on the sea bottom and are strictly related to the wave height. On 29 October 2018, an exceptional sea storm event (the Adrian storm)...
Uploaded on: April 14, 2023