Improved version: A global dataset of spatially-dependent extreme sea levels
<p>These files provide an improved version of the global dataset of spatially-dependent extreme sea levels (Li et al. 2023), and can be used to assess coastal flood risk considering realistic spatial dependence structure in any coastal regions around the globe.</p> <p>We made improvements by:</p> <ul> <li>Estimating inter-cluster dependence by considering cluster connectivity;</li> <li>Calculating the year information for generated sythetic events.</li> </ul> <p>More details on the new dataset can be found in Li et al. (2024) of which a preprint doi will be provided soon. If you plan to use it or have used it, feel free to contact me and please cite our 2024 paper.</p> <p> </p> <p>References:</p> <p>Li, H., Haer, T., Couasnon, A., Enríquez, A. R., Muis, S., & Ward, P. J. (2023). A spatially-dependent synthetic global dataset of extreme sea level events. Weather and Climate Extremes, 41, 100596. https://doi.org/10.1016/j.wace.2023.100596</p> <p>Li, H., Eilander, D., Ward, P. J., & Haer, T. (2024). Improving global-scale coastal risk estimates by considering spatial dependence. Submitted. Preprint: <a href="https://doi.org/10.22541/essoar.172641608.83190937/v1">10.22541/essoar.172641608.83190937/v1</a>. </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0