Articles | Volume 7, issue 1
Earth Surf. Dynam., 7, 67–75, 2019
https://doi.org/10.5194/esurf-7-67-2019
Earth Surf. Dynam., 7, 67–75, 2019
https://doi.org/10.5194/esurf-7-67-2019

Short communication 17 Jan 2019

Short communication | 17 Jan 2019

Short communication: flow as distributed lines within the landscape

John J. Armitage

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Cited articles

Allen, G. H. and Pavelsky, T. M.: Global extent of rivers and streams, Science, 361, 585–588, https://doi.org/10.1126/science.aat0636, 2018. a, b
Armitage, J.: fLEM, available at: https://bitbucket.org/johnjarmitage/flem/, last access: 16 January 2019a. a
Armitage, J.: dac-scripts, available at: https://bitbucket.org/johnjarmitage/dac-scripts/, last access: 16 January 2019b. a
Armitage, J. J., Whittaker, A. C., Zakari, M., and Campforts, B.: Numerical modelling of landscape and sediment flux response to precipitation rate change, Earth Surf. Dynam., 6, 77–99, https://doi.org/10.5194/esurf-6-77-2018, 2018. a, b, c, d, e
Braun, J. and Sambridge, M.: Modelling landscape evolution on geological time scales: a new method based on irregular spatial discretization, Basin Res., 9, 27–52, 1997. a, b
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Short summary
Landscape evolution models (LEMs) aim to capture an aggregation of the processes of erosion and deposition and predict evolving topography. A key aspect of any LEM is how water is chosen to be routed down the surface, which can impact the model results and, importantly, the numerical accuracy. I find that by treating flow as lines within the model domain and by distributing water down all slopes, the results are independent of resolution, pointing to a new method to model landscape evolution.