Articles | Volume 16, issue 2
https://doi.org/10.5194/hess-16-375-2012
https://doi.org/10.5194/hess-16-375-2012
Research article
 | 
08 Feb 2012
Research article |  | 08 Feb 2012

The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter

D. A. Plaza, R. De Keyser, G. J. M. De Lannoy, L. Giustarini, P. Matgen, and V. R. N. Pauwels

Related subject area

Subject: Rivers and Lakes | Techniques and Approaches: Stochastic approaches
Warming of the Willamette River, 1850–present: the effects of climate change and river system alterations
Stefan A. Talke, David A. Jay, and Heida L. Diefenderfer
Hydrol. Earth Syst. Sci., 27, 2807–2826, https://doi.org/10.5194/hess-27-2807-2023,https://doi.org/10.5194/hess-27-2807-2023, 2023
Short summary
Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river
Menaka Revel, Xudong Zhou, Dai Yamazaki, and Shinjiro Kanae
Hydrol. Earth Syst. Sci., 27, 647–671, https://doi.org/10.5194/hess-27-647-2023,https://doi.org/10.5194/hess-27-647-2023, 2023
Short summary
Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning
Remy Vandaele, Sarah L. Dance, and Varun Ojha
Hydrol. Earth Syst. Sci., 25, 4435–4453, https://doi.org/10.5194/hess-25-4435-2021,https://doi.org/10.5194/hess-25-4435-2021, 2021
Short summary
Do small and large floods have the same drivers of change? A regional attribution analysis in Europe
Miriam Bertola, Alberto Viglione, Sergiy Vorogushyn, David Lun, Bruno Merz, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 1347–1364, https://doi.org/10.5194/hess-25-1347-2021,https://doi.org/10.5194/hess-25-1347-2021, 2021
Short summary
Flood trends in Europe: are changes in small and big floods different?
Miriam Bertola, Alberto Viglione, David Lun, Julia Hall, and Günter Blöschl
Hydrol. Earth Syst. Sci., 24, 1805–1822, https://doi.org/10.5194/hess-24-1805-2020,https://doi.org/10.5194/hess-24-1805-2020, 2020
Short summary

Cited articles

Andersson, L.: Improvement of runoff models, what way to go?, Nord. Hydrol., 23, 315–332, 1992.
Andrieu, C., de Freitas, J. F. G., and Doucet, A.: Sequential Bayesian Estimation And Model Selection Applied To Neural Networks, CUED-F-INFENG-TR-341, Cambridge University Engineering Department, March 1999.
Arulampalam, M. S., Maskell, S., and Gordon, N.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE T. Signal Proc., 50, 174–188, 2002.
Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z., and Hasenauer, S.: Improving runoff prediction through the assimilation of the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881–1893, https://doi.org/10.5194/hess-14-1881-2010, 2010.
Caparrini, F., Castelli, F., and Entekhabi, D.: Variational estimation of soil and vegetation turbulent transfer and heat flux parameters from sequences of multisensor imagery, Water Resour. Res., 40, W12515, https://doi.org/10.1029/2004WR003358, 2004.