Optimising global landscape evolution models with <sup>10</sup>Be

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Abstract m n K D), and a critical drainage area (A c 10 Be-derived denudation rates with the aim to optimise a set of LEMs via a Monte Carlo-based parameter search. We consider three model scenarios: advection-only, diffusion-only, and an advection–diffusion hybrid. In each case, we search for a parameter set that best approximates denudation rates at the global scale, and we directly compare denudation rates from the modelled scenarios with those derived from 10 Be data. We find that optimised ranges can be defined for many LEM parameters at the global scale. In the absence of diffusion, n ∼ 1.3, and with increasing diffusivity the optimal n n ∼ 2.3. Meanwhile, we find that the diffusion-only model yields a slightly lower misfit when comparing model outputs with observed erosion rates than the advection-only model and is optimised when the concavity parameter is raised to a power of 2. With these examples, we suggest that our approach provides baseline parameter estimates for large-scale studies spanning long timescales and diverse landscape properties. Moreover, our direct comparison of model-predicted versus observed denudation rates is preferable to methods that rely upon catchment-scale averaging or amalgamation of topographic metrics. We also seek to optimise the K D K K D > - 1 ∼ 300  mm yr- 1, which is compatible with the long-standing hypothesis that semi-arid environments are among the most erodible.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Optimising global landscape evolution models with 10Be ; volume:11 ; number:5 ; year:2023 ; pages:865-880 ; extent:16
Earth surface dynamics ; 11, Heft 5 (2023), 865-880 (gesamt 16)

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

DOI
10.5194/esurf-11-865-2023
URN
urn:nbn:de:101:1-2023092104275276864494
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:49 MESZ

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Beteiligte

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

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