Author:
NOH Seong Jin,TACHIKAWA Yasuto,SHIIBA Michiharu,KIM Sunmin
Publisher
Japan Society of Civil Engineers
Reference10 articles.
1. 1) Gordon, N. J., Salmond, D. J. and Smith, A. F. M.: Novel approach to nonlinear/non-Gaussian Bayesian state estimation, Proc. Inst. Electr. Eng., Vol.140(2), pp.107-113, 1993.
2. 2) Moradkhani, H., Hsu, K. L., Gupta, H. and Sorooshian, S.: Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter, Water Resour. Res., Vol.41, W05012, doi:10.1029/ 2004WR003604, 2005.
3. 3) Smith, P. J., Beven, K. J. and Tawn, J. A.: Detection of structural inadequacy in process-based hydrological models: A particle-filtering approach. Water Resour. Res., Vol.44, W01410, doi:10.1029/2006WR005205, 2008.
4. Assessing parameter, precipitation, and predictive uncertainty in a distributed hydrological model using sequential data assimilation with the particle filter
5. 5) Arulampalam, M. S., Maskell, S., Gordon, N. and Clapp, T.: A tutorial on particle filters for online nonlinear/ non-Gaussian Bayesian tracking, IEEE Trans. Signal Proces., Vol.50(2), pp.174-188, 2002.
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献