Articles | Volume 8, issue 1
https://doi.org/10.5194/ascmo-8-1-2022
https://doi.org/10.5194/ascmo-8-1-2022
14 Feb 2022
 | 14 Feb 2022

A statistical framework for integrating nonparametric proxy distributions into geological reconstructions of relative sea level

Erica L. Ashe, Nicole S. Khan, Lauren T. Toth, Andrea Dutton, and Robert E. Kopp

Viewed

Total article views: 776 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
548 200 28 776 28 29
  • HTML: 548
  • PDF: 200
  • XML: 28
  • Total: 776
  • BibTeX: 28
  • EndNote: 29
Views and downloads (calculated since 14 Feb 2022)
Cumulative views and downloads (calculated since 14 Feb 2022)

Viewed (geographical distribution)

Total article views: 735 (including HTML, PDF, and XML) Thereof 735 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Nov 2023
Download
Short summary
We develop a new technique to integrate realistic uncertainties in probabilistic models of past sea-level change. The new framework performs better than past methods (in precision, accuracy, bias, and model fit) because it enables the incorporation of previously unused data and exploits correlations in the data. This method has the potential to assess the validity of past estimates of extreme sea-level rise and highstands providing better context in which to place current sea-level change.