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Published November 2020 | Version v1
Journal article

Pseudo-global warming projections of extreme wave storms in complex coastal regions: the case of the Adriatic Sea

  • 1. Institute of Oceanography and Fisheries (Croatia)
  • 2. Université de Toulon. SeaTech, Ecole d'ingénieurs (France)

Description

This numerical work aims to better understand the behavior of extreme Adriatic Sea wave storms under projected climate change. In this spirit, 36 characteristic events—22 bora and 14 sirocco storms occurring between 1979 and 2019, were selected and ran in evaluation mode in order to estimate the skill of the kilometer-scale Adriatic Sea and Coast (AdriSC) modelling suite used in this study and to provide baseline conditions for the climate change impact. The pseudo-global warming (PGW) methodology—which imposes an additional climatological change to the forcing used in the evaluation simulations, was implemented, for the very first time, for a coupled ocean–wave–atmosphere model and used to assess the behavior of the selected storms under Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 greenhouse gas projections. The findings of this experiment are that, on the one hand, the AdriSC model is found capable of reproducing both the Adriatic waves associated with the 36 storms and the northern Adriatic surges occurring during the sirocco events and, on the other hand, the significant wave heights and peak periods are likely to decrease during all future extreme events but most particularly during bora storms. The northern Adriatic storm surges are in consequence also likely to decrease during sirocco events. As it was previously demonstrated that the Adriatic extreme wind-wave events are likely to be less intense in a future warmer climate, this study also proved the validity of applying the PGW methodology to coupled ocean–wave–atmosphere models at the coastal and nearshore scales.

Additional details

Identifiers

Publishing Information

Journal Title
Climate Dynamics
Journal Volume
55
Journal Issue
9-10
Journal Page Range
p. 2483-2509
ISSN
0930-7575
CODEN
CLDYEM

Optional Information

Copyright
Copyright (c) 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020