Abstract: The Coordinated Ocean Wave Climate Project (COWCLIP) has undertaken a process of aligning modelled ocean wave data driven by CMIP5 global climate models in historical and projection periods under standardised conditions, using a coherent set of codes across all modelled wave datasets to generate climate and extremes statistics, and these statistical data were merged produce this data collection ready for direct comparison and analysis. The findings of these wave climate projections are published in Morim et al (2019), DOI: 10.1038/s41558-019-0542-5. This data collection accompanies a data descriptor paper in Scientific Data.

This study represents 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 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 NESP Earth Systems and Climate Change Hub. B.T and M.W acknowledge the support of the Regional and Global Climate Modeling Program of the U.S. 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. N.M, T.S, A.B and B.K. acknowledge the support of the TOUGOU Program by MEXT, Japan, JSPS-Kakenhi Program. B.K acknowledge to support Hakubi Center in Kyoto University. L.E. acknowledges the support of the US Geological Survey Coastal and Marine Hazards/Resources Program.

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