Itxaso Odériz, Nobuhito Mori, Rodolfo Silva, Iñigo J. Losada
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引用次数: 0
Abstract
The latest report of the IPCC-AR6 warned that coastal regions are one of the most vulnerable areas in the current climate emergency. In response, the knowledge concerning projected climatic-impact drivers (total water level, average and extreme waves) is rapidly progressing to reduce future coastal flooding and erosion risks. Climate change also shifts atmospheric circulation and affects the climate regions and their surrounding areas. This study aims to identify transitional wave climate regions and proposes a map of these critical areas. A spatial-temporal and multivariate analysis, based on Machine Learning approaches, was used to classify the wave parameters into climates for the end of the century (2081-2099) under the RCP8.5 scenario.
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