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Chained hydrologic-hydraulic for flood modeling by assimilating SAR-derived flood extent and FFSAR-processed altimetry data

Title: Chained hydrologic-hydraulic for flood modeling by assimilating SAR-derived flood extent and FFSAR-processed altimetry data
Authors: Nguyen, Thanh Huy; Ricci, Sophie; Boy, François; Piacentini, Andrea; Munier, Simon; Luque, Santiago Peña; Fatras, Christophe; Cassan, Ludovic; Suquet, Raquel Rodriquez
Contributors: Université Laval Québec (ULaval); Lab-STICC_IMTA_CID_PRASYS; Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC); École Nationale d'Ingénieurs de Brest (ENIB); Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP)-Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP)-Université de Bretagne Sud (UBS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique); Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB); Institut Mines-Télécom Paris (IMT); Centre de Recherche en Géomatique Laval (CRG); Département lmage et Traitement Information (IMT Atlantique - ITI); IMT Atlantique (IMT Atlantique); Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT); Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS); Climat, Environnement, Couplages et Incertitudes Toulouse (CECI); Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS); Centre National d'Etudes Spatiales - Direction Des Lanceurs. (CNES); Centre national de recherches météorologiques (CNRM); Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Météo-France; Communauté d'universités et établissements de Toulouse (Comue de Toulouse); Collecte Localisation Satellites (CLS); ANR-23-CE56-0009,SWIFTS,Combinaison de la modélisation des eaux peu profondes et de l'imagerie satellite pour la prévision des crues et des inondations(2023)
Source: ISSN: 0022-1694.
Publisher Information: CCSD; Elsevier
Publication Year: 2025
Collection: Université de Bretagne Occidentale: HAL
Subject Terms: Hydrodynamics; Flooding; Data assimilation; Altimetry; 8 Sentinel-6; Fully-focused SAR; [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
Description: International audience ; Flood inundation mapping for gauged and ungauged basins relies on chainedhydrologic-hydrodynamic models, combined with multi-source remote sensing(RS) datasets and in-situ gauge measurements when available. In this work, alarge-scale hydrologic model provides forcing data to a high-fidelity local hydro-dynamic model. The latter acts as an advanced interpolator, bridging the gap inboth space and time between the high-frequency yet sparse in-situ measurementsand the large-coverage but less frequent satellite data gathered from variousEarth Observation (EO) missions. These data are combined with physics-basedequations using data assimilation (DA) algorithms. This study presents a noveluse of nadir and off-nadir altimetry data from the Sentinel-6 (S6) mission, pro-cessed with Fully-focused SAR (FFSAR) algorithms, alongside Sentinel-1 (S1)SAR-derived flood extents, for DA over the Garonne River. Using a dual state-parameter Ensemble Kalman Filter (EnKF), it is shown that assimilating S6altimetry data brings significant improvements along the riverbed, as well asaddressing gaps left by other remote sensing datasets. It was demonstratedthat DA allows for the combination of various EO datasets, overcoming thelimitations of spatial RS low revisit frequency and improving the representation of the flood dynamics in the riverbed and the floodplains.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1016/j.jhydrol.2025.134013
Availability: https://hal.science/hal-05224467; https://hal.science/hal-05224467v1/document; https://hal.science/hal-05224467v1/file/1-s2.0-S0022169425013514-main.pdf; https://doi.org/10.1016/j.jhydrol.2025.134013
Rights: http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.7F6172D6
Database: BASE