Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 1
Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-139-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-139-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 1
Research article
 | 
09 Jan 2024
Research article |  | 09 Jan 2024

Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool

Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert

Viewed

Total article views: 1,302 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
998 234 70 1,302 47 53
  • HTML: 998
  • PDF: 234
  • XML: 70
  • Total: 1,302
  • BibTeX: 47
  • EndNote: 53
Views and downloads (calculated since 29 Jun 2023)
Cumulative views and downloads (calculated since 29 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,302 (including HTML, PDF, and XML) Thereof 1,273 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Read more