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 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.
Highlights
Background & SummaryWind-generated waves are recognized as a key element of the climate system[1], having considerable environmental[2,3], geophysical[3,4] and socioeconomic[5] impacts globally
The COWCLIP2.0 dataset overcomes many previous limitations[29], including lack of standardisation amongst existing Coupled Model Intercomparison Project 5 (CMIP5)-driven global wave field simulations and limited sampling of dominant sources of uncertainty
The simulations were conducted under RCP4.5 and RCP8.5 emission scenarios for three time-slices: 1979–2005, 2026–2045 and 2080–2100
Summary
Wind-generated waves are recognized as a key element of the climate system[1], having considerable environmental[2,3], geophysical[3,4] and socioeconomic[5] impacts globally. The COWCLIP2.0 dataset overcomes many previous limitations[29], including lack of standardisation amongst existing CMIP5-driven global wave field simulations (e.g. wave variables and their statistics, spatial coverage and resolution and time-slices used for simulation) and limited sampling of dominant sources of uncertainty (e.g., model forcing and wave-downscaling uncertainties). This extensive wave information can be widely used by different research communities (e.g. those focusing on natural hazards, coastal management, renewable energy, and ship navigation). The inconsistencies in output wave parameters and data structures made intercomparison analysis between wave data produced by different modelling groups difficult
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
