The well-posedness of the data assimilation problem for the Navier-Stokes-alpha equations on a bounded three-dimensional domain is investigated. The data assimilation procedures under consideration are the adjoint method of variational data assimilation (4D-Var) and the method of continuous data assimilation. Concerning the adjoint method the existence of optimal initial conditions with respect to an observation-dependent cost functional is proven, the optimizers are characterized by a first-order necessary condition involving the adjoint linearized Navier-Stokes-alpha equations and conditions for the uniqueness of the initial conditions are given. Well-posedness of the continuous data assimilation problem is proven and convergence rates in...
In this paper we analyze a finite element method applied to a continuous downscaling data assimilati...
International audienceIn this paper, we present an overview of various data assimilation methods, in...
We present a new continuous data assimilation algorithm based on ideas that have been developed for ...
The well-posedness of the data assimilation problem for the Navier-Stokes-alpha equations on a bound...
Motivated by the presence of a finite number of determining parameters (degrees of freedom) such as ...
Data assimilation arises in a vast array of different topics: traditionally in meteorological and oc...
We adapt a previously introduced continuous in time data assimilation (downscaling) algorithm for th...
International audienceThe ultimate purpose of environmental studies is the forecast of its natural e...
In the variational data assimilation (VarDA), the typical way for gradient computation is using the ...
The problem of variational data assimilation for a nonlinear evolution model is formulated as an op...
We study the numerical performance of a continuous data assimilation (downscaling) algorithm, based ...
International audienceThe problem of data assimilation for a nonlinear evolution model is considered...
In this thesis, I investigate a computationally efficient algorithm for data assimilation in recover...
Data assimilation aims to incorporate measured observations into a dynamical system model in order t...
We study the problem of determining through a variational data assimilation approach the initial con...
In this paper we analyze a finite element method applied to a continuous downscaling data assimilati...
International audienceIn this paper, we present an overview of various data assimilation methods, in...
We present a new continuous data assimilation algorithm based on ideas that have been developed for ...
The well-posedness of the data assimilation problem for the Navier-Stokes-alpha equations on a bound...
Motivated by the presence of a finite number of determining parameters (degrees of freedom) such as ...
Data assimilation arises in a vast array of different topics: traditionally in meteorological and oc...
We adapt a previously introduced continuous in time data assimilation (downscaling) algorithm for th...
International audienceThe ultimate purpose of environmental studies is the forecast of its natural e...
In the variational data assimilation (VarDA), the typical way for gradient computation is using the ...
The problem of variational data assimilation for a nonlinear evolution model is formulated as an op...
We study the numerical performance of a continuous data assimilation (downscaling) algorithm, based ...
International audienceThe problem of data assimilation for a nonlinear evolution model is considered...
In this thesis, I investigate a computationally efficient algorithm for data assimilation in recover...
Data assimilation aims to incorporate measured observations into a dynamical system model in order t...
We study the problem of determining through a variational data assimilation approach the initial con...
In this paper we analyze a finite element method applied to a continuous downscaling data assimilati...
International audienceIn this paper, we present an overview of various data assimilation methods, in...
We present a new continuous data assimilation algorithm based on ideas that have been developed for ...