Lagrangian data assimilation for river hydraulics simulations

DOI10.1007/s00791-008-0089-xzbMath1426.86005OpenAlexW1989732621MaRDI QIDQ600908

Jérôme Monnier, François-Xavier Le Dimet, Marc Honnorat

Publication date: 3 November 2010

Published in: Computing and Visualization in Science (Search for Journal in Brave)

Full work available at URL: https://hal.inria.fr/inria-00256581/file/HonnoratMonnierLedimet.pdf

Mathematics Subject Classification ID

Related Items (13)

Inverse problems in free surface flows: a review ⋮ Quadratic programming based data assimilation with passive drifting sensors for shallow water flows ⋮ An efficient and statistically accurate Lagrangian data assimilation algorithm with applications to discrete element sea ice models ⋮ Covariance kernels investigation from diffusive wave equations for data assimilation in hydrology ⋮ Superposition of local zoom models and simultaneous calibration for 1D-2D shallow water flows ⋮ Design of the control set in the framework of variational data assimilation ⋮ Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models ⋮ A direct solution approach to the inverse shallow-water problem ⋮ Global optimization for data assimilation in landslide tsunami models ⋮ River discharge and bathymetry estimation from SWOT altimetry measurements ⋮ On a 2D `zoom' for the 1D shallow water model: coupling and data assimilation ⋮ Optimization of Bathymetry for Long Waves with Small Amplitude ⋮ One-dimensional bathymetry based on velocity measurements

Uses Software

• EnKF
• TAPENADE

Cites Work

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• Some numerical experiments with variable-storage quasi-Newton algorithms
• Balancing source terms and flux gradients in high-resolution Godunov methods: The quasi-steady wave-propagation algorithm
• Variational assimilation of Lagrangian data in oceanography

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