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; Mentaschi, Lorenzo; Dobrynin, Mikhail; Feng, Yang; Erikson, Li

doi:10.1038/s41597-020-0446-2

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

Journal Article · 27 March 2020 · Scientific Data

DOI: https://doi.org/10.1038/s41597-020-0446-2 · OSTI ID:1624278

^[1];

^[2]; Hemer, Mark ^[2]; Wang, Xiaolan L. ^[3]; Mori, Nobuhito ^[4]; Casas-Prat, Mercè ^[3]; Semedo, Alvaro ^[5]; Shimura, Tomoya ^[4];

^[6]; Camus, Paula ^[7]; Bricheno, Lucy ^[8];

^[9];

^[10]; Feng, Yang ^[3];

^[11]

Griffith University, Southport, Queensland (Australia), School of Built Environment and Engineering; Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Hobart, Tasmania (Australia)
School of Built Environment and Engineering; Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Hobart, Tasmania (Australia)
Climate Research Division, Toronto, Ontario (Canada)
Kyoto University, Kyoto (Japan), Disaster Prevention Research Institute
IHE-Delft, Delft (Netherlands), Department of Water Science and Engineering
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States), Climate and Ecosystems Science Division
Universidad de Cantabria, Santander (Spain), Environmental Hydraulics Institute IH Cantabria
National Oceanographic Centre, Liverpool (United Kingdom)
Joint Research Centre (JRC), Ispra (Italy), European Commission
Universität Hamburg, Hamburg (Germany), Institute of Oceanography, Center for Earth System Research and Sustainability (CEN)
Pacific Coastal and Marine Science Center, Santa Cruz, California (United States), US Geological Survey (USGS)

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 (H_S), mean wave period (T_m), and mean wave direction (θ_m) 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.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1624278

Alternate ID(s):: OSTI ID: 1760228

Journal Information:: Scientific Data, Vol. 7, Issue 1; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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