Articles | Volume 11, issue 5
https://doi.org/10.5194/esurf-11-865-2023
https://doi.org/10.5194/esurf-11-865-2023
Research article
 | 
18 Sep 2023
Research article |  | 18 Sep 2023

Optimising global landscape evolution models with 10Be

Gregory A. Ruetenik, John D. Jansen, Pedro Val, and Lotta Ylä-Mella

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Latest update: 06 Oct 2024
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Short summary
We compare models of erosion against a global compilation of long-term erosion rates in order to find and interpret best-fit parameters using an iterative search. We find global signals among exponents which control the relationship between erosion rate and slope, as well as other parameters which are common in long-term erosion modelling. Finally, we analyse the global variability in parameters and find a correlation between precipitation and coefficients for optimised models.