Articles | Volume 7, issue 1
https://doi.org/10.5194/esurf-7-67-2019
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

Related authors

Numerical modelling of landscape and sediment flux response to precipitation rate change
John J. Armitage, Alexander C. Whittaker, Mustapha Zakari, and Benjamin Campforts
Earth Surf. Dynam., 6, 77–99, https://doi.org/10.5194/esurf-6-77-2018,https://doi.org/10.5194/esurf-6-77-2018, 2018
Short summary

Related subject area

Physical: Landscape Evolution: modelling and field studies
Refining patterns of melt with forward stratigraphic models of stable Pleistocene coastlines
Patrick Boyden, Paolo Stocchi, and Alessio Rovere
Earth Surf. Dynam., 11, 917–931, https://doi.org/10.5194/esurf-11-917-2023,https://doi.org/10.5194/esurf-11-917-2023, 2023
Short summary
Optimising global landscape evolution models with 10Be
Gregory A. Ruetenik, John D. Jansen, Pedro Val, and Lotta Ylä-Mella
Earth Surf. Dynam., 11, 865–880, https://doi.org/10.5194/esurf-11-865-2023,https://doi.org/10.5194/esurf-11-865-2023, 2023
Short summary
Self-organization of channels and hillslopes in models of fluvial landform evolution and its potential for solving scaling issues
Stefan Hergarten and Alexa Pietrek
Earth Surf. Dynam., 11, 741–755, https://doi.org/10.5194/esurf-11-741-2023,https://doi.org/10.5194/esurf-11-741-2023, 2023
Short summary
Stream laws in analog tectonic-landscape models
Riccardo Reitano, Romano Clementucci, Ethan M. Conrad, Fabio Corbi, Riccardo Lanari, Claudio Faccenna, and Chiara Bazzucchi
Earth Surf. Dynam., 11, 731–740, https://doi.org/10.5194/esurf-11-731-2023,https://doi.org/10.5194/esurf-11-731-2023, 2023
Short summary
A control volume finite-element model for predicting the morphology of cohesive-frictional debris flow deposits
Tzu-Yin Kasha Chen, Ying-Chen Wu, Chi-Yao Hung, Hervé Capart, and Vaughan R. Voller
Earth Surf. Dynam., 11, 325–342, https://doi.org/10.5194/esurf-11-325-2023,https://doi.org/10.5194/esurf-11-325-2023, 2023
Short summary

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
Download
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.