Using Residual Resampling and Sensitivity Analysis to Improve Particle Filter Data Assimilation Accuracy

IEEE Geoscience and Remote Sensing Letters

Volumn 10, Issue 6, 2013, Pages 1404-1408

  Zhang, Hongjuan ^a,b   Qin, Sixian ^c   Ma, Jianwen ^a   You, Hongjian ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b WUHAN UNIVERSITY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Data assimilation (DA); particle filter (PF); residual resampling; sensitivity analysis; soil moisture

Indexed keywords

DATA ASSIMILATION; EFFECTIVE APPROACHES; HOT TOPICS; MODEL AND OBSERVATION; OPTIMAL PARAMETER; PARTICLE FILTER; PARTICLE FILTERING; RESIDUAL RESAMPLING;

COMPUTER SIMULATION; MONTE CARLO METHODS; SENSITIVITY ANALYSIS; SOIL MOISTURE;

SIGNAL FILTERING AND PREDICTION;

EID: 84886598907     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2258888     Document Type: Article

References (13)

1. S. J. Noh, Y. Tachikawa, M. Shiiba, and S. Kim, "Applying sequential Monte Carlo methods into a distributed hydrologic model: Lagged particle-filtering approach with regularization," Hydrol. Earth Syst. Sci. Discuss., vol. 8, no. 2, pp. 3383-3420, Oct. 2011.
2. K. Nagarajan, J. Judge, W. D. Graham, and A. Monsivais-Huertero, "Particle filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions," Adv. Water Resour., vol. 34, no. 4, pp. 433-447, Apr. 2010.
3. C. H. Montzka, L. Moradkhani, H. J. Weihermuller, H. Franssen, M. Canty, and H. Vereecken, "Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter," J. Hydrol., vol. 399, no. 3/4, pp. 410-421, Mar. 2011.
4. H. Moradkhani, C. M. DeChant, and S. Sorooshian, "Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method," Water Resour. Res., vol. 48, no. 12, p. W12 520, Dec. 2012.
5. H. Moradkhani, K. Hsu, H. Gupta, and S. Sorooshian, "Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter," Water Resour. Res., vol. 41, no. 5, p. W05 012, May 2005.
6. M. S. Arulampalam, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. Signal Process., vol. 50, no. 2, pp. 174-188, Feb. 2002. (Pubitemid 34291500)
7. J. Qin, S. Liang, K. Yang, I. Kaihotsu, R. Liu, and T. Koike, "Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal," J. Geophys. Res., vol. 114, no. D15, p. D15 103, Aug. 2008.
8. C. M. DeChant and H. Moradkhani, "Examining the effectiveness and robustness of data assimilation methods for calibration and quantification of uncertainty in hydrologic forecasting," Water Resour. Res., vol. 48, no. 4, p. W04 518, Apr. 2012.
9. Y. Liu, A. H. Weerts, M. Clark, H. J. Hendricks Franssen, S. Kumar, H. Moradkhani, D.-J. Seo, D. Schwanenberg, P. Smith, A. I. J. M. van Dijk, N. van Velzen, M. He, H. Lee, S. J. Noh, O. Rakovec, and P. Restrepo, "Advancing data assimilation in operational hydrologic forecasting: Progresses, challenges, and emerging opportunities," Hydrol. Earth Syst. Sci., vol. 16, no. 10, pp. 3863-3887, Mar. 2012.
10. J. Carpenter, P. Clifford, and P. Fearnhead, "Improved particle filter for nonlinear problems," Proc. Inst. Elect. Eng.-Radar, Sonar Navig., vol. 146, no. 1, pp. 2-7, Feb. 1999.
11. R. Douc, O. Cappe, and E. Moulines, "Comparison of resampling schemes for particle filtering," in Proc. 4th Int. Symp., Image Signal Process. Anal., Sep. 15-17, 2005, pp. 64-69. (Pubitemid 44459664)
12. X. Liang, E. F. Wood, and D. P. Lettenmaier, "Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification," Global Planet. Change, vol. 13, no. 1-4, pp. 195-206, Jun. 1996.
13. X. Liang and D. P. Lettenmaier, "A simple hydrologically based model of land surface water and energy fluxes for general circulation models," J. Geophys. Res., vol. 99, no. D7, pp. 14 415-14 428, Jul. 1994.