Articles | Volume 19, issue 12
https://doi.org/10.5194/hess-19-4811-2015
https://doi.org/10.5194/hess-19-4811-2015
Research article
 | 
16 Dec 2015
Research article |  | 16 Dec 2015

Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions

D. Fairbairn, A. L. Barbu, J.-F. Mahfouf, J.-C. Calvet, and E. Gelati

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Cited articles

Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337, https://doi.org/10.5194/hess-12-1323-2008, 2008.
Balsamo, G., Bouyssel, F., and Noilhan, J.: A simplified bi-dimensional variational analysis of soil moisture from screen-level observations in a mesoscale numerical weather-prediction model, Q. J. Roy. Meteorol. Soc., 130, 895–915, 2004.
Balsamo, G., Mahfouf, J.-F., Bélair, S. and Deblonde, G.: A land data assimilation system for soil moisture and temperature: An information study, J. Hydrometeorol., 8, 1225–1242, https://doi.org/10.1175/2007JHM819.1, 2007.
Barbu, A. L., Calvet, J.-C., Mahfouf, J.-F., Albergel, C., and Lafont, S.: Assimilation of Soil Wetness Index and Leaf Area Index into the ISBA-A-gs land surface model: grassland case study, Biogeosciences, 8, 1971–1986, https://doi.org/10.5194/bg-8-1971-2011, 2011.
Boone, A., Calvet, J.-C., and Noilhan, J.: Inclusion of a third soil layer in a land surface scheme using the force–restore method, J. Appl. Meteorol., 38, 1611–1630, 1999.
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Short summary
The ensemble Kalman filter (EnKF) and simplified extended Kalman filter (SEKF) root-zone soil moisture analyses are compared when assimilating in situ surface observations. In the synthetic experiments, the EnKF performs best because it can stochastically capture the errors in the precipitation. The two methods perform similarly in the real experiments. During the summer period, both methods perform poorly as a result of nonlinearities in the land surface model.