Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6567-2018
https://doi.org/10.5194/hess-22-6567-2018
Research article
 | 
20 Dec 2018
Research article |  | 20 Dec 2018

A new probability density function for spatial distribution of soil water storage capacity leads to the SCS curve number method

Dingbao Wang

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Cited articles

Bartlett, M. S., Parolari, A. J., McDonnell, J. J., and Porporato, A.: Beyond the SCS-CN method: A theoretical framework for spatially lumped rainfall-runoff response, Water Resour. Res., 52, 4608–4627, https://doi.org/10.1002/2015WR018439, 2016a. 
Bartlett, M. S., Parolari, A. J., McDonnell, J. J., and Porporato, A.: Framework for event-based semidistributed modeling that unifies the SCS-CN method, VIC, PDM, and TOPMODEL, Water Resour. Res., 52, 7036–7052, https://doi.org/10.1002/2016WR019084, 2016b. 
Beven, K.: Rainfall-Runoff Modelling: The Primer, 2nd Edn., Wiley-Blackwell, Chichester, UK, 2012. 
Beven, K. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. J., 24, 43–69, 1979. 
Bras, R. L.: Hydrology: an introduction to hydrologic science, Addison Wesley Publishing Company, Reading, MA, 1990. 
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Short summary
A novel distribution function is proposed for describing the spatial distribution of soil water storage capacity, and then the classical and empirical hydrologic model (the SCS curve number method) is derived as when the initial soil water storage is zero. This distribution function unifies the SCS curve number method and probability-distributed models such as the VIC and Xinanjiang models. The unified model provides a better way for modeling surface runoff.