Analysis of the evolution of parametric drivers of high-end sea-level hazards

Hough, Alana; Wong, Tony E.

doi:https://doi.org/10.5194/ascmo-8-117-2022

Articles | Volume 8, issue 1

https://doi.org/10.5194/ascmo-8-117-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/ascmo-8-117-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 1

02 Jun 2022

| 02 Jun 2022

Analysis of the evolution of parametric drivers of high-end sea-level hazards

Alana Hough and Tony E. Wong

Data sets

Codes and model output supporting Analysis of the Evolution of Parametric Drivers of High-End Sea-Level Hazards Alana Hough and Tony Wong https://doi.org/10.5281/zenodo.6514918

Model code and software

Codes and model output supporting Analysis of the Evolution of Parametric Drivers of High-End Sea-Level Hazards Alana Hough and Tony Wong https://doi.org/10.5281/zenodo.6514918

Short summary

We use machine learning to assess how different geophysical uncertainties relate to the severity of future sea-level rise. We show how the contributions to coastal hazard from different sea-level processes evolve over time and find that near-term sea-level hazards are driven by thermal expansion and the melting of glaciers and ice caps, while long-term hazards are driven by ice loss from the major ice sheets.