Global-scale changes in extreme ocean wave events due to anthropogenic warming
Extreme ocean waves are often primary drivers of coastal flooding/erosion at various time-scales1. Understanding future changes in these events to global warming is of socio-economic and environmental relevance. However, our current knowledge on changes in high-frequency (i.e. events occurring multiple times a year) extreme wave events are largely unknown despite being strongly linked to coastal hazards over decision-relevant time-scales. Here, we present global climate-modeling evidence of projected changes in a set of wave indices describing the frequency of such events using the most comprehensive multi-method/model ensemble. We find changes in persistent storm wave events of up to ~50-100% for global warming exceeding 2°C; a nearly double than for global warming below 2°C when globally-integrated. Changes to extreme wave events exhibit strong inter-hemispheric asymmetry, with ~30-40% of the global ocean exhibiting robust changes for warming above 2°C. In general, we find an increase across the tropics and high latitudes of the Southern Hemisphere, and a widespread decrease across most of the Northern Hemisphere. We find that patterns of projected changes in these storm wave events are remarkably consistent with their historical response to the positive/negative phase of the Southern Annular Mode (SAM) and El Nino-Southern -Oscillation (ENSO) in these regions, respectively. Our findings highlight that many countries of low-adaptive capacity will likely face increasing exposure to much more frequent extreme wave events every year in the future.
MORIM Joao;
VITOUSEK Sean;
HEMER Mark;
REGUERO Borja;
ERIKSON Li;
CASAS-PRAT Mercè;
WANG Xiaolan;
SEMEDO Alvaro;
MORI Nobuhito;
SHIMURA Tomoya;
MENTASCHI Lorenzo;
TIMMERMANS Ben;
2022-09-08
IOP PUBLISHING LTD
JRC120960
1748-9326 (online),
https://iopscience.iop.org/article/10.1088/1748-9326/ac1013,
https://publications.jrc.ec.europa.eu/repository/handle/JRC120960,
10.1088/1748-9326/ac1013 (online),
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