2022
DOI: 10.5194/esurf-2022-54
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Optimising global landscape evolution models with 10Be

Abstract: Abstract. By simulating erosion and deposition, landscape evolution models offer powerful insights to Earth surface processes and dynamics. These models are typically constructed from parameters describing drainage area (m), slope (n), substrate erodibility (K), hillslope diffusion (D), and a critical drainage area (Ac) that signifies the downslope transition from hillslope diffusion to advective fluvial processes. In spite of the widespread success of such models, the parameter values have high degrees of unc… Show more

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Cited by 3 publications
(2 citation statements)
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“…Code and data availability. Code related to this article is available online at https://doi.org/10.5281/zenodo.8317033 (Ruetenik et al, 2023). Maps were produced using PyGMT (https://doi.org/10.5281/zenodo.8303186, Tian et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Code and data availability. Code related to this article is available online at https://doi.org/10.5281/zenodo.8317033 (Ruetenik et al, 2023). Maps were produced using PyGMT (https://doi.org/10.5281/zenodo.8303186, Tian et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…However, Lague (2014) argues for n > 1 based on erosion thresholds and hydrologic variability. Global compilations of erosion rates from 10 Be data also suggest n > 1 (Harel et al., 2016; Ruetenik et al., 2023). The value of n is particularly important in systems with layered rocks because it influences erosion rate feedbacks between layers (Perne et al., 2017).…”
Section: Models and Methodsmentioning
confidence: 97%