@article{10902/32695,
year = {2020},
url = {https://hdl.handle.net/10902/32695},
abstract = {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 windwave 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.},
organization = {This study represents the community dataset developed and used in Task 3 of the second phase of the Coordinated
Ocean Wave Climate Project (COWCLIP) (https://cowclip.org/) - an international collaborative working
group endorsed by the Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM).
We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is
responsible for CMIP, and we thank all the climate modeling groups (listed in Table 1 of this paper) for generating
and making available their model outputs. For CMIP the U.S. Department of Energy’s Program for Climate Model
Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in
partnership with the Global Organization for Earth System Science Portals. J.M., C.T. and M.H. acknowledge the
support of the Australian NESP Earth Systems and Climate Change Hub. N.M and T.S. acknowledge the support
of TOUGOU Program by MEXT, Japan, JSPS-Kakenhi Program. L.E. acknowledges the support of the United
States (US) Geological Survey Coastal and Marine Hazards/Resources Program. B.T acknowledges the support
of the Regional and Global Climate Modeling Program of United States Department of Energy, Office of Science,
Office of Biological and Environmental Research (contract number DE-AC02-05CH11231) and the National
Energy Research Supercomputing Center (NERSC) of the Lawrence Berkeley National Laboratory. We thank all
the other contributors to the COWCLIP project, and Natalia Atkins, Laurent Besnard and the AODN team for
data publication and assistance with dataset DOI preparation.},
publisher = {Springer Nature},
publisher = {Scientific Data, 2020, 7, 105},
title = {A global ensemble of ocean wave climate projections from CMIP5-driven models},
author = {Morim, Joao and Trenham, Claire and Hemer, Mark and Wang, Xiaolan L. and Mori, Nobuhito and Casas Prat, Mercè and Semedo, Älvaro and Shimura, Tomoya and Timmermans, Ben and Camus Braña, Paula and Bricheno, Lucy and Mentaschi, Lorenzo and Dobrynin, Mikhail and Feng, Yang and Erikson, Li},
}