A global ensemble of ocean wave climate projections from CMIP5-driven models

Morim, Joao; Trenham, Claire; Hemer, Mark; Wang, Xiaolan L.; Mori, Nobuhito; Casas-Prat, Mercè; Semedo, Alvaro; Shimura, Tomoya; Timmermans, Ben; Camus, Paula; Bricheno, Lucy ORCID: https://orcid.org/0000-0002-4751-9366; Mentaschi, Lorenzo; Dobrynin, Mikhail; Feng, Yang; Erikson, Li. 2020 A global ensemble of ocean wave climate projections from CMIP5-driven models. Scientific Data, 7 (1). https://doi.org/10.1038/s41597-020-0446-2

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Official URL: http://dx.doi.org/10.1038/s41597-020-0446-2

Abstract/Summary

This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height (HS), mean wave period (Tm), and mean wave direction (θm) computed over time-slices 1979–2004 and 2081–2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative wind-wave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1038/s41597-020-0446-2
ISSN:	2052-4463
Date made live:	15 Feb 2021 10:23 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529536

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1038/s41597-020-0446-2

ISSN:

2052-4463

Date made live:

15 Feb 2021 10:23 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/529536