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Updated: Dec 25, 2025

Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
A global ensemble of ocean wave climate projections from CMIP5-driven models
Joao Morim1,2, Claire Trenham3, Mark Hemer3
1School of Built Environment and Engineering, Griffith University, Southport, Queensland, Australia. joao.morimnascimento@griffithuni.edu.au.
The Coordinated Ocean Wave Climate Project (COWCLIP2.0) offers the first ensemble of global wind-wave climate projections for the 21st century. This dataset aids coastal hazard assessments and climate adaptation studies.
Area of Science:
- Oceanography
- Climate Science
- Coastal Engineering
Background:
- The Coordinated Ocean Wave Climate Project (COWCLIP) phase 2 has produced COWCLIP2.0, the first coordinated multivariate ensemble of 21st-century global wind-wave climate projections.
- This dataset includes general and extreme statistics for significant wave height, mean wave period, and mean wave direction.
Purpose of the Study:
- To provide a comprehensive dataset of global wind-wave climate projections for the 21st century.
- To support coastal hazard and vulnerability assessments, climate adaptation studies, and offshore/coastal engineering applications.
Main Methods:
- Generated a 155-member ensemble from ten CMIP5-based wave climate studies using various downscaling methods, climate models, and emissions scenarios.
- Computed statistics for significant wave height (Hs), mean wave period (Tm), and mean wave direction (θm) for historical (1979-2004) and future (2081-2100) periods at multiple frequency resolutions.
- Ensured data consistency and quality, adhering to CMIP5 standards for syntax, directory structure, and metadata.
Main Results:
- The COWCLIP2.0 dataset provides a robust ensemble of global wave climate projections.
- Model skill was technically compared against 26 years of global satellite measurements of significant wave height at global and regional scales.
Conclusions:
- COWCLIP2.0 is a valuable resource for understanding future ocean wave climate changes.
- The dataset will significantly aid in planning for coastal resilience and adaptation strategies worldwide.
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