A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel
Coastal flooding compound events can be caused by climate-driven extremes of storm surges and waves. To assess the risk associated with these events in the context of climate variability, the bivariate extremes of skew surge (S) and significant wave height (H<sub>S</sub>) are modeled in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/13/11/1795 |
| _version_ | 1797469126420070400 |
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| author | Antoine Chapon Yasser Hamdi |
| author_facet | Antoine Chapon Yasser Hamdi |
| author_sort | Antoine Chapon |
| collection | DOAJ |
| description | Coastal flooding compound events can be caused by climate-driven extremes of storm surges and waves. To assess the risk associated with these events in the context of climate variability, the bivariate extremes of skew surge (S) and significant wave height (H<sub>S</sub>) are modeled in a nonstationary framework using physical atmospheric/oceanic parameters as covariates (atmospheric pressure, wind speed and sea surface temperature). This bivariate nonstationary distribution is modeled using a threshold-based approach for the margins of S and H<sub>S</sub> and a dynamic copula for their dependence structure. Among the covariates considered, atmospheric pressure and related wind speed are primary forcings for the margins of S and H<sub>S</sub>, but temperature is the main positive forcing of their dependence. This latter relation implies an increasing risk of compound events of S and H<sub>S</sub> for the studied site in the context of increasing global temperature. |
| first_indexed | 2024-03-09T19:17:04Z |
| format | Article |
| id | doaj.art-5baf2f7672cd40299394c4edc4674368 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T19:17:04Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-5baf2f7672cd40299394c4edc46743682023-11-24T03:42:19ZengMDPI AGAtmosphere2073-44332022-10-011311179510.3390/atmos13111795A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English ChannelAntoine Chapon0Yasser Hamdi1Institute for Radiological Protection and Nuclear Safety, 92032 Fontenay-aux-Roses, FranceInstitute for Radiological Protection and Nuclear Safety, 92032 Fontenay-aux-Roses, FranceCoastal flooding compound events can be caused by climate-driven extremes of storm surges and waves. To assess the risk associated with these events in the context of climate variability, the bivariate extremes of skew surge (S) and significant wave height (H<sub>S</sub>) are modeled in a nonstationary framework using physical atmospheric/oceanic parameters as covariates (atmospheric pressure, wind speed and sea surface temperature). This bivariate nonstationary distribution is modeled using a threshold-based approach for the margins of S and H<sub>S</sub> and a dynamic copula for their dependence structure. Among the covariates considered, atmospheric pressure and related wind speed are primary forcings for the margins of S and H<sub>S</sub>, but temperature is the main positive forcing of their dependence. This latter relation implies an increasing risk of compound events of S and H<sub>S</sub> for the studied site in the context of increasing global temperature.https://www.mdpi.com/2073-4433/13/11/1795skew surgewave heightnonstationaryphysical covariatescompound extremes |
| spellingShingle | Antoine Chapon Yasser Hamdi A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel Atmosphere skew surge wave height nonstationary physical covariates compound extremes |
| title | A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel |
| title_full | A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel |
| title_fullStr | A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel |
| title_full_unstemmed | A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel |
| title_short | A Bivariate Nonstationary Extreme Values Analysis of Skew Surge and Significant Wave Height in the English Channel |
| title_sort | bivariate nonstationary extreme values analysis of skew surge and significant wave height in the english channel |
| topic | skew surge wave height nonstationary physical covariates compound extremes |
| url | https://www.mdpi.com/2073-4433/13/11/1795 |
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