Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-139-2024
https://doi.org/10.5194/hess-28-139-2024
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

Data sets

A quantile regression forest approach to model future sediment export from two high alpine catchments based on climate and hydrologic projections P. M. Grosse et al. https://doi.org/10.23728/b2share.5f706863fc5041c49cb8d1a8cd55f613

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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.