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

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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.
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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.
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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.