Articles | Volume 4, issue 3
https://doi.org/10.5194/esurf-4-757-2016
https://doi.org/10.5194/esurf-4-757-2016
Research article
 | 
30 Sep 2016
Research article |  | 30 Sep 2016

The sensitivity of landscape evolution models to spatial and temporal rainfall resolution

Tom J. Coulthard and Christopher J. Skinner

Related authors

Introducing Iterative Model Calibration (IMC) v1.0: A Generalizable Framework for Numerical Model Calibration with a CAESAR-Lisflood Case Study
Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard
EGUsphere, https://doi.org/10.5194/egusphere-2024-1191,https://doi.org/10.5194/egusphere-2024-1191, 2024
Short summary
Thresholds for estuarine compound flooding using a combined hydrodynamic–statistical modelling approach
Charlotte Lyddon, Nguyen Chien, Grigorios Vasilopoulos, Michael Ridgill, Sogol Moradian, Agnieszka Olbert, Thomas Coulthard, Andrew Barkwith, and Peter Robins
Nat. Hazards Earth Syst. Sci., 24, 973–997, https://doi.org/10.5194/nhess-24-973-2024,https://doi.org/10.5194/nhess-24-973-2024, 2024
Short summary
Testing the sensitivity of the CAESAR-Lisflood landscape evolution model to grid cell size
Christopher J. Skinner and Thomas J. Coulthard
Earth Surf. Dynam., 11, 695–711, https://doi.org/10.5194/esurf-11-695-2023,https://doi.org/10.5194/esurf-11-695-2023, 2023
Short summary
Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation (within CAESAR-Lisflood version 1.9j-WS)
Matthew D. Wilson and Thomas J. Coulthard
Geosci. Model Dev., 16, 2415–2436, https://doi.org/10.5194/gmd-16-2415-2023,https://doi.org/10.5194/gmd-16-2415-2023, 2023
Short summary
The Coastline Evolution Model 2D (CEM2D) V1.1
Chloe Leach, Tom Coulthard, Andrew Barkwith, Daniel R. Parsons, and Susan Manson
Geosci. Model Dev., 14, 5507–5523, https://doi.org/10.5194/gmd-14-5507-2021,https://doi.org/10.5194/gmd-14-5507-2021, 2021
Short summary

Related subject area

Physical: Landscape Evolution: modelling and field studies
Short Communication: Numerically simulated time to steady state is not a reliable measure of landscape response time
Nicole M. Gasparini, Adam M. Forte, and Katherine R. Barnhart
Earth Surf. Dynam., 12, 1227–1242, https://doi.org/10.5194/esurf-12-1227-2024,https://doi.org/10.5194/esurf-12-1227-2024, 2024
Short summary
Modeling the formation of toma hills based on fluid dynamics with a modified Voellmy rheology
Stefan Hergarten
Earth Surf. Dynam., 12, 1193–1203, https://doi.org/10.5194/esurf-12-1193-2024,https://doi.org/10.5194/esurf-12-1193-2024, 2024
Short summary
Drainage rearrangement in an intra-continental mountain belt: a case study from the central South Tian Shan, Kyrgyzstan
Lingxiao Gong, Peter van der Beek, Taylor F. Schildgen, Edward R. Sobel, Simone Racano, Apolline Mariotti, and Fergus McNab
Earth Surf. Dynam., 12, 973–994, https://doi.org/10.5194/esurf-12-973-2024,https://doi.org/10.5194/esurf-12-973-2024, 2024
Short summary
GraphFlood 1.0: an efficient algorithm to approximate 2D hydrodynamics for Landscape Evolution Models
Boris Gailleton, Philippe Steer, Philippe Davy, Wolfgang Schwanghart, and Thomas Guillaume Adrien Bernard
EGUsphere, https://doi.org/10.5194/egusphere-2024-1239,https://doi.org/10.5194/egusphere-2024-1239, 2024
Short summary
Channel concavity controls plan-form complexity of branching drainage networks
Liran Goren and Eitan Shelef
EGUsphere, https://doi.org/10.5194/egusphere-2024-808,https://doi.org/10.5194/egusphere-2024-808, 2024
Short summary

Cited articles

Andréassian, V., Perrin, C., Michel, C., Usart-Sanchez, I., and Lavabre, J.: Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models, J. Hydrol., 250, 206–223, https://doi.org/10.1016/S0022-1694(01)00437-1, 2001.
Andréassian, V., Le Moine, N., Perrin, C., Ramos, M.-H., Oudin, L., Mathevet, T., Lerat, J., and Berthet, L.: All that glitters is not gold: the case of calibrating hydrological models, Hydrol. Process., 26, 2206–2210, https://doi.org/10.1002/hyp.9264, 2012.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006.
Beven, K. and Hornberger, G.: Assessing the Effect of Spatial Pattern of Precipitation in Modeling Stream Flow Hydrographs1, Water Resour. Bull., 18, 823–829, https://doi.org/10.1111/j.1752-1688.1982.tb00078.x, 1982.
Download
Short summary
Landscape evolution models are driven by climate or precipitation data. We show that higher-resolution data lead to greater basin sediment yields (> 100 % increase) despite minimal changes in hydrological outputs. Spatially, simulations over 1000 years show finer-resolution data lead to a systematic bias of more erosion in headwater streams with more deposition in valley floors. This could have important implications for the long-term predictions of past and present landscape evolution models.