Reply to Comment by Jie Qin and Teng Wu on “A Modified Particle Filter‐Based Data Assimilation Method for a High‐Precision 2‐D Hydrodynamic Model Considering Spatial‐Temporal Variability of Roughness: Simulation of Dam‐Break Flood Inundation”-Reference-Cited by-同舟云学术

Reply to Comment by Jie Qin and Teng Wu on “A Modified Particle Filter‐Based Data Assimilation Method for a High‐Precision 2‐D Hydrodynamic Model Considering Spatial‐Temporal Variability of Roughness: Simulation of Dam‐Break Flood Inundation”

Published:2020-03 Issue:3 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Cao Yin¹²^ORCID,Ye Yuntao¹^ORCID,Liang Lili¹,Zhao Hongli¹,Jiang Yunzhong¹,Wang Hao¹²,Yi Zhenyan¹^ORCID,Shang Yizi¹,Yan Dengming¹²^ORCID

Affiliation:

1. Department of Water Resources China Institute of Water Resources and Hydropower Research Beijing China

2. College of Environmental Science and Engineering, State Environmental Protection Engineering Center for Pollution Treatment and Control in Textile Industry Donghua University Shanghai China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR027315

Reference13 articles.

1. Monitoring Water Levels and Discharges Using Radar Altimetry in an Ungauged River Basin: The Case of the Ogooué

2. A Comparison of Bayesian Methods for Uncertainty Analysis in Hydraulic and Hydrodynamic Modeling

3. A Modified Particle Filter‐Based Data Assimilation Method for a High‐Precision 2‐D Hydrodynamic Model Considering Spatial‐temporal Variability of Roughness: Simulation of Dam‐Break Flood Inundation

4. An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation

5. Simultaneous estimation of inflow and channel roughness using 2D hydraulic model and particle filters

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1. Improving the particle filter for data assimilation in hydraulic modeling by using a Cauchy likelihood function;Journal of Hydrology;2023-02