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

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
The flexural isostatic response of climatically driven sea-level changes on continental-scale deltas
Sara Polanco, Mike Blum, Tristan Salles, Bruce C. Frederick, Rebecca Farrington, Xuesong Ding, Ben Mather, Claire Mallard, and Louis Moresi
EGUsphere, https://doi.org/10.5194/egusphere-2023-53,https://doi.org/10.5194/egusphere-2023-53, 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Preprint withdrawn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
Tectonically and climatically driven mountain-hopping erosion in central Guatemala from detrital 10Be and river profile analysis
Gilles Brocard, Jane Kathrin Willenbring, Tristan Salles, Michael Cosca, Axel Guttiérez-Orrego, Noé Cacao Chiquín, Sergio Morán-Ical, and Christian Teyssier
Earth Surf. Dynam., 9, 795–822, https://doi.org/10.5194/esurf-9-795-2021,https://doi.org/10.5194/esurf-9-795-2021, 2021
Short summary
Mapping landscape connectivity as a driver of species richness under tectonic and climatic forcing
Tristan Salles, Patrice Rey, and Enrico Bertuzzo
Earth Surf. Dynam., 7, 895–910, https://doi.org/10.5194/esurf-7-895-2019,https://doi.org/10.5194/esurf-7-895-2019, 2019
Short summary

Related subject area

Climate and Earth system modeling
Structural k-means (S k-means) and clustering uncertainty evaluation framework (CUEF) for mining climate data
Quang-Van Doan, Toshiyuki Amagasa, Thanh-Ha Pham, Takuto Sato, Fei Chen, and Hiroyuki Kusaka
Geosci. Model Dev., 16, 2215–2233, https://doi.org/10.5194/gmd-16-2215-2023,https://doi.org/10.5194/gmd-16-2215-2023, 2023
Short summary
The emergence of the Gulf Stream and interior western boundary as key regions to constrain the future North Atlantic carbon uptake
Nadine Goris, Klaus Johannsen, and Jerry Tjiputra
Geosci. Model Dev., 16, 2095–2117, https://doi.org/10.5194/gmd-16-2095-2023,https://doi.org/10.5194/gmd-16-2095-2023, 2023
Short summary
Evaluating wind profiles in a numerical weather prediction model with Doppler lidar
Pyry Pentikäinen, Ewan J. O'Connor, and Pablo Ortiz-Amezcua
Geosci. Model Dev., 16, 2077–2094, https://doi.org/10.5194/gmd-16-2077-2023,https://doi.org/10.5194/gmd-16-2077-2023, 2023
Short summary
Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin
Rubina Ansari, Ana Casanueva, Muhammad Usman Liaqat, and Giovanna Grossi
Geosci. Model Dev., 16, 2055–2076, https://doi.org/10.5194/gmd-16-2055-2023,https://doi.org/10.5194/gmd-16-2055-2023, 2023
Short summary
The impact of lateral boundary forcing in the CORDEX-Africa ensemble over southern Africa
Maria Chara Karypidou, Stefan Pieter Sobolowski, Lorenzo Sangelantoni, Grigory Nikulin, and Eleni Katragkou
Geosci. Model Dev., 16, 1887–1908, https://doi.org/10.5194/gmd-16-1887-2023,https://doi.org/10.5194/gmd-16-1887-2023, 2023
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.