Assessing parameter, precipitation, and predictive uncertainty in a distributed hydrological model using sequential data assimilation with the particle filter-Reference-Cited by-同舟云学术

Assessing parameter, precipitation, and predictive uncertainty in a distributed hydrological model using sequential data assimilation with the particle filter

Published:2009-10 Issue:3-4 Volume:376 Page:428-442
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Salamon Peter,Feyen Luc

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference53 articles.

1. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam;IEEE Trans. Signal Proces.,2002

2. A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall–runoff modeling;Bates;Water Resour. Res.,2001

3. A manifesto for the equifinality thesis;Beven;J. Hydrol.,2006

4. A spatially distributed flash flood forecasting model;Blöschl;Environ. Modell. Soft.,2008

5. An improved particle filter for non-linear problems;Carpenter;IEEE Proc. Radar Son. Nav.,1999

Cited by 127 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

1. A multi-model evaluation of probabilistic streamflow predictions via residual error modelling;Journal of Hydrology;2024-05

2. Identified temporal variation of soil hydraulic parameters under seasonal ecosystem change using the particle batch smoother;Geoderma;2024-02

3. Optimizing measurement schemes to improve indoor airflow and temperature CFD–EnKF joint simulation;Building and Environment;2024-01

4. Development of the consider cubature Kalman filter for state estimation of hydrological models with parameter uncertainty;Journal of Hydrology;2023-10

5. Effects of meteorological forcing uncertainty on high-resolution snow modeling and streamflow prediction in a mountainous karst watershed;Journal of Hydrology;2023-04