A Tempered Particle Filter to Enhance the Assimilation of SAR‐Derived Flood Extent Maps Into Flood Forecasting Models

Data assimilation (DA) is a powerful tool to optimally combine uncertain model simulations and observations. Among DA techniques, the particle filter (PF) has gained attention for its capacity to deal with nonlinear systems and for its relaxation of the Gaussian assumption. However, the PF may suffe...

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Detalles Bibliográficos
Autores principales: Di Mauro, Concetta, Hostache, Renaud, Matgen, Patrick, Pelich, Ramona, Chini, Marco, van Leeuwen, Peter Jan, Nichols, Nancy, Blöschl, Günter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541183/
https://www.ncbi.nlm.nih.gov/pubmed/36249278
http://dx.doi.org/10.1029/2022WR031940

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541183/
https://www.ncbi.nlm.nih.gov/pubmed/36249278
http://dx.doi.org/10.1029/2022WR031940

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