Articles | Volume 15, issue 8
Geosci. Model Dev., 15, 3405–3416, 2022
https://doi.org/10.5194/gmd-15-3405-2022
Geosci. Model Dev., 15, 3405–3416, 2022
https://doi.org/10.5194/gmd-15-3405-2022
Model evaluation paper
28 Apr 2022
Model evaluation paper | 28 Apr 2022

Improved runoff simulations for a highly varying soil depth and complex terrain watershed in the Loess Plateau with the Community Land Model version 5

Jiming Jin et al.

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Cited articles

Brunke, M. A., Broxton, P., Pelletier, J., Gochis, D., Hazenberg, P., Lawrence, D. M., Leung, L. R., Niu, G., Troch, P. A., and Zeng, X.: Implementing and Evaluating variable soil thickness in the Community Land Model Version 4.5 (CLM4.5), J. Climate, 29, 3441–3461, https://doi.org/10.1175/JCLI-D-15-0307.1, 2016. 
Camacho Suarez, V. V., Saraiva Okello, A. M. L., Wenninger, J. W., and Uhlenbrook, S.: Understanding runoff processes in a semi-arid environment through isotope and hydrochemical hydrograph separations, Hydrol. Earth Syst. Sci., 19, 4183–4199, https://doi.org/10.5194/hess-19-4183-2015, 2015. 
Chen, L., Sela, S., Svoray, T., and Assouline, S.: The role of soil-surface sealing, microtopography, and vegetation patches in rainfall-runoff processes in semiarid areas, Water Resour. Res., 49, 5585–5599, 2013. 
Clapp, R. B. and Hornberger, G. M.: Empirical equations for some soil hydraulic properties, Water Resour. Res., 14, 601–604, 1978. 
Cosby, B. J., Hornberger, G. M., Clapp, R. B., and Ginn, T. R.: A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils, Water Resour. Res., 20, 682–690, 1984. 
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Short summary
This study aimed to improve runoff simulations and explore deep soil hydrological processes for a highly varying soil depth and complex terrain watershed in the Loess Plateau, China. The actual soil depths and river channels were incorporated into the model to better simulate the runoff in this watershed. The soil evaporation scheme was modified to better describe the evaporation processes. Our results showed that the model significantly improved the runoff simulations.