Earth Surface Dynamics
Earth Surface Dynamics
ESurf
Articles | Volume 13, issue 6
Articles | Volume 13, issue 6
https://doi.org/10.5194/esurf-13-1307-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-13-1307-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 6
Research article
 | Highlight paper
 | 
18 Dec 2025
Research article | Highlight paper |  | 18 Dec 2025

An extrapolation algorithm for estimating river bed grain size distributions across basins

Jordan T. Gilbert

Viewed

Total article views: 1,867 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,568 217 82 1,867 66 92
  • HTML: 1,568
  • PDF: 217
  • XML: 82
  • Total: 1,867
  • BibTeX: 66
  • EndNote: 92
Views and downloads (calculated since 12 Jun 2025)
Cumulative views and downloads (calculated since 12 Jun 2025)

Viewed (geographical distribution)

Total article views: 1,867 (including HTML, PDF, and XML) Thereof 1,827 with geography defined and 40 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Editorial statement
Grainsize distributions in rivers are highly variable while difficult to measure over long river reaches or entire river networks. Jordan Gilbert‘s work offers a statistical approach and numerical toolset to spatially estimate grainsize distributions.
Read more
Short summary
Characterizing the grain size of river sediments is necessary for estimating sediment transport rates in rivers. In order to understand sediment transport at large spatial scales, grain size information across river basins is needed, but methods for accomplishing this are limited. Here, I introduce a new method for using measurements of grain size in discrete locations to estimate full grain size distributions across entire watersheds.
Read more
Share