A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach

Author:

Xu Xingya,Zhang Xuesong,Fang Hongwei,Lai Ruixun,Zhang Yuefeng,Huang Lei,Liu Xiaobo

Funder

National Natural Science Foundation of China

NASA New Investigator Award

Terrestrial Ecology Program

North American Carbon Program

DOE Great Lakes Bioenergy Research Center

DOE BER Office of Science

DOE EERE OBP

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference56 articles.

1. A non-Gaussian ensemble filter update for data assimilation;Anderson;Mon. Weather Rev.,2010

2. Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model;Andreadis;Geophys. Res. Lett.,2007

3. Parametric and physically based modelling techniques for flood risk and vulnerability assessment: a comparison;Balica;Environ. Model. Softw.,2013

4. An improved particle filter algorithm based on ensemble kalman filter and markov chain Monte Carlo method. Selected topics in applied earth observations and remote sensing;Bi;IEEE J.,2015

5. A partial ensemble Kalman filtering approach to enable use of range limited observations;Borup;Stoch. Environ. Res. Risk Assess.,2015

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