Increasing Trend on Storm Wave Intensity in the Western Mediterranean
Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibr...
Ausführliche Beschreibung
Autor*in: |
Khalid Amarouche [verfasserIn] Adem Akpınar [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Übergeordnetes Werk: |
In: Climate - MDPI AG, 2013, 9(2021), 1, p 11 |
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Übergeordnetes Werk: |
volume:9 ; year:2021 ; number:1, p 11 |
Links: |
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DOI / URN: |
10.3390/cli9010011 |
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Katalog-ID: |
DOAJ069311439 |
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10.3390/cli9010011 doi (DE-627)DOAJ069311439 (DE-599)DOAJab611ad0e7284d0a8c672f84afa00f05 DE-627 ger DE-627 rakwb eng Khalid Amarouche verfasserin aut Increasing Trend on Storm Wave Intensity in the Western Mediterranean 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. wave modeling storm wave intensity total storm wave energy storm power index trend Western Mediterranean Sea Science Q Adem Akpınar verfasserin aut In Climate MDPI AG, 2013 9(2021), 1, p 11 (DE-627)750089245 (DE-600)2720343-8 22251154 nnns volume:9 year:2021 number:1, p 11 https://doi.org/10.3390/cli9010011 kostenfrei https://doaj.org/article/ab611ad0e7284d0a8c672f84afa00f05 kostenfrei https://www.mdpi.com/2225-1154/9/1/11 kostenfrei https://doaj.org/toc/2225-1154 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 1, p 11 |
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10.3390/cli9010011 doi (DE-627)DOAJ069311439 (DE-599)DOAJab611ad0e7284d0a8c672f84afa00f05 DE-627 ger DE-627 rakwb eng Khalid Amarouche verfasserin aut Increasing Trend on Storm Wave Intensity in the Western Mediterranean 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. wave modeling storm wave intensity total storm wave energy storm power index trend Western Mediterranean Sea Science Q Adem Akpınar verfasserin aut In Climate MDPI AG, 2013 9(2021), 1, p 11 (DE-627)750089245 (DE-600)2720343-8 22251154 nnns volume:9 year:2021 number:1, p 11 https://doi.org/10.3390/cli9010011 kostenfrei https://doaj.org/article/ab611ad0e7284d0a8c672f84afa00f05 kostenfrei https://www.mdpi.com/2225-1154/9/1/11 kostenfrei https://doaj.org/toc/2225-1154 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 1, p 11 |
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10.3390/cli9010011 doi (DE-627)DOAJ069311439 (DE-599)DOAJab611ad0e7284d0a8c672f84afa00f05 DE-627 ger DE-627 rakwb eng Khalid Amarouche verfasserin aut Increasing Trend on Storm Wave Intensity in the Western Mediterranean 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. wave modeling storm wave intensity total storm wave energy storm power index trend Western Mediterranean Sea Science Q Adem Akpınar verfasserin aut In Climate MDPI AG, 2013 9(2021), 1, p 11 (DE-627)750089245 (DE-600)2720343-8 22251154 nnns volume:9 year:2021 number:1, p 11 https://doi.org/10.3390/cli9010011 kostenfrei https://doaj.org/article/ab611ad0e7284d0a8c672f84afa00f05 kostenfrei https://www.mdpi.com/2225-1154/9/1/11 kostenfrei https://doaj.org/toc/2225-1154 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 1, p 11 |
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10.3390/cli9010011 doi (DE-627)DOAJ069311439 (DE-599)DOAJab611ad0e7284d0a8c672f84afa00f05 DE-627 ger DE-627 rakwb eng Khalid Amarouche verfasserin aut Increasing Trend on Storm Wave Intensity in the Western Mediterranean 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. wave modeling storm wave intensity total storm wave energy storm power index trend Western Mediterranean Sea Science Q Adem Akpınar verfasserin aut In Climate MDPI AG, 2013 9(2021), 1, p 11 (DE-627)750089245 (DE-600)2720343-8 22251154 nnns volume:9 year:2021 number:1, p 11 https://doi.org/10.3390/cli9010011 kostenfrei https://doaj.org/article/ab611ad0e7284d0a8c672f84afa00f05 kostenfrei https://www.mdpi.com/2225-1154/9/1/11 kostenfrei https://doaj.org/toc/2225-1154 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 1, p 11 |
allfieldsSound |
10.3390/cli9010011 doi (DE-627)DOAJ069311439 (DE-599)DOAJab611ad0e7284d0a8c672f84afa00f05 DE-627 ger DE-627 rakwb eng Khalid Amarouche verfasserin aut Increasing Trend on Storm Wave Intensity in the Western Mediterranean 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. wave modeling storm wave intensity total storm wave energy storm power index trend Western Mediterranean Sea Science Q Adem Akpınar verfasserin aut In Climate MDPI AG, 2013 9(2021), 1, p 11 (DE-627)750089245 (DE-600)2720343-8 22251154 nnns volume:9 year:2021 number:1, p 11 https://doi.org/10.3390/cli9010011 kostenfrei https://doaj.org/article/ab611ad0e7284d0a8c672f84afa00f05 kostenfrei https://www.mdpi.com/2225-1154/9/1/11 kostenfrei https://doaj.org/toc/2225-1154 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 1, p 11 |
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Increasing Trend on Storm Wave Intensity in the Western Mediterranean |
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Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. |
abstractGer |
Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. |
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Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height (<i<H<sub<s</sub<</i<) and total storm duration. Thus, both SPI and TSWE was computed for each storm wave event. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The confidence level in this area exceed 95%, with a steep slope between 100 kWh·m<sup<−1</sup<·year<sup<−1</sup< and 240 kWh·m<sup<−1</sup<·year<sup<−1</sup< for annual max TSWE and between 28 m²·h·year<sup<−1</sup< and 49 m²·h·year<sup<−1</sup< for annual max SPI. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. |
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