Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses

Extreme ocean surface wave heights significantly affect coastal structures and offshore activities and impact many vulnerable populations of low-lying islands. Therefore, better understanding of ocean wave height variability plays an important role in potentially reducing risk in such regions. In th...

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Published in:Journal of Climate
Main Authors: Kumar, P, Min, SK, Weller, E, Lee, H, Wang, XLL
Format: Article in Journal/Newspaper
Language:English
Published: AMER METEOROLOGICAL SOC 2016
Subjects:
Online Access:https://oasis.postech.ac.kr/handle/2014.oak/36624
https://doi.org/10.1175/JCLI-D-15-0580.1
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spelling ftponangunivst:oai:oasis.postech.ac.kr:2014.oak/36624 2023-05-15T17:31:38+02:00 Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses Kumar, P Min, SK Weller, E Lee, H Wang, XLL Min, SK 2016-12-13 https://oasis.postech.ac.kr/handle/2014.oak/36624 https://doi.org/10.1175/JCLI-D-15-0580.1 English eng AMER METEOROLOGICAL SOC JOURNAL OF CLIMATE Meteorology & Atmospheric Sciences 0894-8755 https://oasis.postech.ac.kr/handle/2014.oak/36624 doi:10.1175/JCLI-D-15-0580.1 18952 JOURNAL OF CLIMATE, v.29, no.11, pp.4031 - 4046 000376197900006 2-s2.0-84971474760 NORTH-ATLANTIC OSCILLATION EL-NINO ENSO TRENDS INCREASE IMPACT WIND Article ART 2016 ftponangunivst https://doi.org/10.1175/JCLI-D-15-0580.1 2022-10-20T20:22:06Z Extreme ocean surface wave heights significantly affect coastal structures and offshore activities and impact many vulnerable populations of low-lying islands. Therefore, better understanding of ocean wave height variability plays an important role in potentially reducing risk in such regions. In this study, global impacts of natural climate variability such as El Nino-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Pacific decadal oscillation (PDO) on extreme significant wave height (SWH) are analyzed using ERA-Interim (1980-2014) and ECMWF twentieth-century reanalysis (ERA-20C; 1952-2010) datasets for December-February (DJF). The nonstationary generalized extreme value (GEV) analysis is used to determine the influence of natural climate variability on DJF maxima of SWH (Hmax), wind speed (Wmax), and mean sea level pressure gradient amplitude (Gmax). The major ENSO influence on Hmax is found over the northeastern North Pacific (NP), with increases during El Nino and decreases during La Nina, and its counter responses are observed in coastal regions of the western NP, which are consistently observed in both Wmax and Gmax responses. The Hmax response to the PDO occurs over similar regions in the NP as those associated with ENSO but with much weaker amplitude. Composite analysis of different ENSO and PDO phase combinations reveals stronger (weaker) influences when both variability modes are of the same (opposite) phase. Furthermore, significant NAO influence on Hmax, Wmax, and Gmax is observed throughout Icelandic and Azores regions in relation to changes in atmospheric circulation patterns. Overall, the response of extreme SWH to natural climate variability modes is consistent with seasonal mean responses. 1 1 10 6 scie scopus Article in Journal/Newspaper North Atlantic North Atlantic oscillation Pohang University of Science and Technology (POSTECH): Open Access System for Information Sharing (OASIS) Pacific Journal of Climate 29 11 4031 4046
institution Open Polar
collection Pohang University of Science and Technology (POSTECH): Open Access System for Information Sharing (OASIS)
op_collection_id ftponangunivst
language English
topic NORTH-ATLANTIC OSCILLATION
EL-NINO
ENSO
TRENDS
INCREASE
IMPACT
WIND
spellingShingle NORTH-ATLANTIC OSCILLATION
EL-NINO
ENSO
TRENDS
INCREASE
IMPACT
WIND
Kumar, P
Min, SK
Weller, E
Lee, H
Wang, XLL
Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses
topic_facet NORTH-ATLANTIC OSCILLATION
EL-NINO
ENSO
TRENDS
INCREASE
IMPACT
WIND
description Extreme ocean surface wave heights significantly affect coastal structures and offshore activities and impact many vulnerable populations of low-lying islands. Therefore, better understanding of ocean wave height variability plays an important role in potentially reducing risk in such regions. In this study, global impacts of natural climate variability such as El Nino-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Pacific decadal oscillation (PDO) on extreme significant wave height (SWH) are analyzed using ERA-Interim (1980-2014) and ECMWF twentieth-century reanalysis (ERA-20C; 1952-2010) datasets for December-February (DJF). The nonstationary generalized extreme value (GEV) analysis is used to determine the influence of natural climate variability on DJF maxima of SWH (Hmax), wind speed (Wmax), and mean sea level pressure gradient amplitude (Gmax). The major ENSO influence on Hmax is found over the northeastern North Pacific (NP), with increases during El Nino and decreases during La Nina, and its counter responses are observed in coastal regions of the western NP, which are consistently observed in both Wmax and Gmax responses. The Hmax response to the PDO occurs over similar regions in the NP as those associated with ENSO but with much weaker amplitude. Composite analysis of different ENSO and PDO phase combinations reveals stronger (weaker) influences when both variability modes are of the same (opposite) phase. Furthermore, significant NAO influence on Hmax, Wmax, and Gmax is observed throughout Icelandic and Azores regions in relation to changes in atmospheric circulation patterns. Overall, the response of extreme SWH to natural climate variability modes is consistent with seasonal mean responses. 1 1 10 6 scie scopus
author2 Min, SK
format Article in Journal/Newspaper
author Kumar, P
Min, SK
Weller, E
Lee, H
Wang, XLL
author_facet Kumar, P
Min, SK
Weller, E
Lee, H
Wang, XLL
author_sort Kumar, P
title Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses
title_short Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses
title_full Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses
title_fullStr Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses
title_full_unstemmed Influence of climate variability on extreme ocean surface wave heights assessed from ERA-Interim and ERA-20C reanalyses
title_sort influence of climate variability on extreme ocean surface wave heights assessed from era-interim and era-20c reanalyses
publisher AMER METEOROLOGICAL SOC
publishDate 2016
url https://oasis.postech.ac.kr/handle/2014.oak/36624
https://doi.org/10.1175/JCLI-D-15-0580.1
geographic Pacific
geographic_facet Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation JOURNAL OF CLIMATE
Meteorology & Atmospheric Sciences
0894-8755
https://oasis.postech.ac.kr/handle/2014.oak/36624
doi:10.1175/JCLI-D-15-0580.1
18952
JOURNAL OF CLIMATE, v.29, no.11, pp.4031 - 4046
000376197900006
2-s2.0-84971474760
op_doi https://doi.org/10.1175/JCLI-D-15-0580.1
container_title Journal of Climate
container_volume 29
container_issue 11
container_start_page 4031
op_container_end_page 4046
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