The impact of observation spatial and temporal densification in an ensemble Kalman Filter

Hydrodynamic

A new gravity-driven runoff and erosion model for TELEMAC

Water Qualit

Improving TELEMAC on a simple test case to simulate runoff and erosion generation

Water Qualit

Automatic differentiation for the optimal calibration of a MASCARET model

Water Qualit

COURLIS: a new sedimentology 1D module for MASCARET

Water Qualit

Variational Data Assimilation With Telemac. Proof Of Concept For Model State Correction On The Berre Lagoon 3D-Model

TELEMAC is a component of the open-source integrated suite of solvers TELEMAC-MASCARET for use in the field of free-surface flow that solves the Reynolds Averaged Navier-Stokes equations. Generally speaking, uncertainties in the model formulation itself due to simplified physics and also in the input fields to the model such as the boundary conditions, initial conditions and hydraulic parameters translate into errors in the simulated hydraulic variables. In spite of significant advances in numerical schemes, description of geographical data (topography, bathymetry) and environmental conditions (hydrologycal and meteorological fields), the representation of the true state of a system as well as its forecasted state remains imperfect and some of these limits can be overcome combining observations with simulation via data assimilation techniques. This paper presents the implementation of a 3D-Var FGAT variational data assimilation algorithm as a proof of concept for improving TELEMAC simulations and forecast. The demonstration is made on the Berre lagoon application with TELEMAC-3D: the salinity state is sequentially corrected assimilating in-situ salinity measurements

Data assimilation with the 1D hydraulic code Mascaret and multi-dimensional coupling between Telemac and Mascaret

Water Qualit

A Variational Data Assimilation Algorithm to Estimate Salinity in the Berre Lagoon with TELEMAC-3D

Numerical Aspect