Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/hess-18-2503-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-2503-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 18, issue 7
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, H. Medina, and N. Romano

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Cited articles

Camporese, M., Paniconi, C., Putti, M., and Salandin, P.: Ensemble Kalman filter data assimilation for a process based catchment scale model of surface and subsurface flow, Water Resour. Res., 45, W10421, https://doi.org/10.1029/2008WR007031, 2009.
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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.
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