Articles | Volume 12, issue 9
https://doi.org/10.5194/gmd-12-4165-2019
https://doi.org/10.5194/gmd-12-4165-2019
Model description paper
 | 
25 Sep 2019
Model description paper |  | 25 Sep 2019

eSCAPE: Regional to Global Scale Landscape Evolution Model v2.0

Tristan Salles

Related authors

Climatic and Tectonic Forcing Lead to Contrasting Headwater Slope Evolutions
Yinbing Zhu, Patrice Rey, and Tristan Salles
EGUsphere, https://doi.org/10.5194/egusphere-2025-1585,https://doi.org/10.5194/egusphere-2025-1585, 2025
Short summary
The roles of surface processes on porphyry copper deposits preservation
Beatriz Hadler Boggiani, Tristan Salles, Claire Mallard, and Nicholas Atwood
EGUsphere, https://doi.org/10.5194/egusphere-2024-1868,https://doi.org/10.5194/egusphere-2024-1868, 2024
Short summary
Flexural isostatic response of continental-scale deltas to climatically driven sea level changes
Sara Polanco, Mike Blum, Tristan Salles, Bruce C. Frederick, Rebecca Farrington, Xuesong Ding, Ben Mather, Claire Mallard, and Louis Moresi
Earth Surf. Dynam., 12, 301–320, https://doi.org/10.5194/esurf-12-301-2024,https://doi.org/10.5194/esurf-12-301-2024, 2024
Short summary
River incision, 10Be production and transport in a source-to-sink sediment system (Var catchment, SW Alps)
Carole Petit, Tristan Salles, Vincent Godard, Yann Rolland, and Laurence Audin
Earth Surf. Dynam., 11, 183–201, https://doi.org/10.5194/esurf-11-183-2023,https://doi.org/10.5194/esurf-11-183-2023, 2023
Short summary
Landscape responses to dynamic topography and climate change on the South African source-to-sink system since the Oligocene
Claire A. Mallard and Tristan Salles
Earth Surf. Dynam. Discuss., https://doi.org/10.5194/esurf-2021-89,https://doi.org/10.5194/esurf-2021-89, 2021
Preprint withdrawn
Short summary

Related subject area

Climate and Earth system modeling
SURFER v3.0: a fast model with ice sheet tipping points and carbon cycle feedbacks for short- and long-term climate scenarios
Victor Couplet, Marina Martínez Montero, and Michel Crucifix
Geosci. Model Dev., 18, 3081–3129, https://doi.org/10.5194/gmd-18-3081-2025,https://doi.org/10.5194/gmd-18-3081-2025, 2025
Short summary
NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP
Yong-He Liu and Zong-Liang Yang
Geosci. Model Dev., 18, 3157–3174, https://doi.org/10.5194/gmd-18-3157-2025,https://doi.org/10.5194/gmd-18-3157-2025, 2025
Short summary
A method for quantifying uncertainty in spatially interpolated meteorological data with application to daily maximum air temperature
Conor T. Doherty, Weile Wang, Hirofumi Hashimoto, and Ian G. Brosnan
Geosci. Model Dev., 18, 3003–3016, https://doi.org/10.5194/gmd-18-3003-2025,https://doi.org/10.5194/gmd-18-3003-2025, 2025
Short summary
Baseline Climate Variables for Earth System Modelling
Martin Juckes, Karl E. Taylor, Fabrizio Antonio, David Brayshaw, Carlo Buontempo, Jian Cao, Paul J. Durack, Michio Kawamiya, Hyungjun Kim, Tomas Lovato, Chloe Mackallah, Matthew Mizielinski, Alessandra Nuzzo, Martina Stockhause, Daniele Visioni, Jeremy Walton, Briony Turner, Eleanor O'Rourke, and Beth Dingley
Geosci. Model Dev., 18, 2639–2663, https://doi.org/10.5194/gmd-18-2639-2025,https://doi.org/10.5194/gmd-18-2639-2025, 2025
Short summary
PaleoSTeHM v1.0: a modern, scalable spatiotemporal hierarchical modeling framework for paleo-environmental data
Yucheng Lin, Robert E. Kopp, Alexander Reedy, Matteo Turilli, Shantenu Jha, and Erica L. Ashe
Geosci. Model Dev., 18, 2609–2637, https://doi.org/10.5194/gmd-18-2609-2025,https://doi.org/10.5194/gmd-18-2609-2025, 2025
Short summary

Cited articles

Ahrens, J., Jourdain, S., O'Leary, P., Patchett, J., Rogers, D. H., and Petersen, M.: An image-based approach to extreme scale in situ visualization and analysis, Proceedings of the International Conference for High Performance Computing, https://doi.org/10.1109/SC.2014.40, 2014. a
Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis., NOAA Technical Memorandum NESDIS NGDC-24, 19 pp., available at: http://www.ngdc.noaa.gov/mgg/global/global.html (last access: 23 September 2019), 2009. a
Armitage, J. J.: Short communication: flow as distributed lines within the landscape, Earth Surf. Dynam., 7, 67–75, https://doi.org/10.5194/esurf-7-67-2019, 2019. a, b, c, d
Balay, S., Brown, J., Buschelman, K., Gropp, W. D., Kaushik, D., Knepley, M. G., McInnes, L. C., Smith, B. F., and Zhang, H.: Argonne National Laboratory, PETSc, available at: http://www.mcs.anl.gov/petsc (last access: 23 September 2019), 2012. a, b, c
Barnes, R.: Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters, Environ. Model. Softw., 92, 202–212, https://doi.org/10.1016/j.envsoft.2017.02.022, 2017. a, b
Download
Short summary
This paper presents a new numerical model able to simulate for the first time the evolution of Earth's surface at a global scale under different precipitation, sea level, and tectonic conditions. This is significant as it can help to bridge the gap between local- and global-scale predictions of Earth's past and future variations.
Share