Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-5733-2021
https://doi.org/10.5194/hess-25-5733-2021
Research article
 | 
08 Nov 2021
Research article |  | 08 Nov 2021

Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map

Eunhyung Lee and Sanghyun Kim

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Cited articles

Adeloye, A. J., Rustum, R., and Kariyama, I. D.: Kohonen self-organizing map estimator for the reference crop evapotranspiration, Water Resour. Res., 47, W08523, https://doi.org/10.1029/2011WR010690, 2011. 
Ahmad, S., Kalra, A., and Stephen, H.: Estimation soil moisture using remote sensing data: A machine learning approach, Adv. Water Resour., 33, 69–80, https://doi.org/10.1016/j.advwatres.2009.10.008, 2010. 
Albertson, J. D. and Kiely, G.: On the structure of soil moisture time series in the context of land surface models, J. Hydrol, 243, 101–119, https://doi.org/10.1016/S0022-1694(00)00405-4, 2001. 
Ali, M., Fiori, A., and Bellotti, G.: Analysis of the nonlinear storage-discharge relation for hillslopes through 2D numerical modelling, Hydrol. Process., 27, 2683–2690, https://doi.org/10.1002/hyp.9397, 2013. 
Angermann, L., Jackisch, C., Allroggen, N., Sprenger, M., Zehe, E., Tronicke, J., Weiler, M., and Blume, T.: Form and function in hillslope hydrology: characterization of subsurface flow based on response observations, Hydrol. Earth Syst. Sci., 21, 3727–3748, https://doi.org/10.5194/hess-21-3727-2017, 2017. 
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In order to understand hillslope hydrological processes during rainfall runoff events, rainfall characteristics and responses of soil moisture at the hillslope scale were explored by applying self-organizing map (SOMs) to a dataset. Combinations of upslope and downslope spatial patterns of hillslope hydrological processes, vertical flow, and lateral flow along surface or subsurface boundaries were responsible for the distinctions between the event clusters.