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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Bibliographic Details
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:
NORTH-ATLANTIC OSCILLATION
EL-NINO
ENSO
TRENDS
INCREASE
IMPACT
WIND
Pacific
North Atlantic
North Atlantic oscillation
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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Summary: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

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