A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation-Reference-Cited by-同舟云学术

A Mutual Information‐Based Likelihood Function for Particle Filter Flood Extent Assimilation

Published:2021-02 Issue:2 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res.

Author:

Dasgupta Antara¹²³^ORCID,Hostache Renaud⁴^ORCID,Ramsankaran RAAJ²,Schumann Guy J.‐P.⁵^ORCID,Grimaldi Stefania³^ORCID,Pauwels Valentijn R. N.³^ORCID,Walker Jeffrey P.³^ORCID

Affiliation:

1. IITB‐Monash Research Academy Mumbai India

2. Department of Civil Engineering Indian Institute of Technology Bombay Mumbai India

3. Department of Civil Engineering Monash University Clayton VIC Australia

4. Department of Environmental Research and Innovation Luxembourg Institute of Science and Technology Esch‐sur‐Alzette Luxembourg

5. School of Geographical Sciences University of Bristol Bristol UK

Funder

Fonds National de la Recherche Luxembourg

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR027859

Reference135 articles.

1. The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework

2. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

3. A global network for operational flood risk reduction

4. Estimating the impact of satellite observations on the predictability of large-scale hydraulic models

5. Water‐Supply Papers;Arcement G. J.,1989

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