Articles | Volume 18, issue 7
Hydrol. Earth Syst. Sci., 18, 2503–2520, 2014
https://doi.org/10.5194/hess-18-2503-2014
Hydrol. Earth Syst. Sci., 18, 2503–2520, 2014
https://doi.org/10.5194/hess-18-2503-2014

Research article 04 Jul 2014

Research article | 04 Jul 2014

Kalman filters for assimilating near-surface observations into the Richards equation – Part 1: Retrieving state profiles with linear and nonlinear numerical schemes

G. B. Chirico et al.

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Cited articles

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Chirico, G. B., Medina, H., and Romano, N.: Functional evaluation of PTF prediction uncertainty: An application at hillslope scale, Geoderma, 155, 193–202, 2010.
Clark, M., Rupp, D., Woods, R., Zheng, X., Ibbitt, R., Slater, A., Schmidt, J., and Uddstrom, M.: Hydrological data assimilation with the ensemble Kalman filter: use ofstreamflow observations to update states in a distributed hydrological model, Adv. Water Resour., 31, 1309–1324, 2008.
Das, N. N. and Mohanty, B. P.: Root zone soil moisture assessment using remote sensing and vadose zone modeling, Vadose Zone J., 5, 296–307, 2006.