International audienceThe convergence of variational data assimilation algorithm for high dimensional non- linear system is an impor- tant issue. In this presentation we will focus on two multi scale approaches for solving the 4D variational data assimilation problem, the truncated Gauss Newton (TGN) and the Multi scale Gauss Newton (MsGN) algorithms. Both requires the use of operators allowing to project system states from one resolution to another, which could be delicate for ocean applications due to complex boundaries These algorithms are part of recent developments of the NEMOVAR system, which is a state-of-the-art variational data assimilation system for the NEMO European ocean community model. NEMOVAR is used in two major operational...
Most ocean data assimilation systems are tuned to process and assimilate observations to constrain f...
Most ocean data assimilation systems are tuned to process and assimilate observations to constrain f...
International audienceA reduced order approach for 4D-Var data assimilation is presented in the cont...
International audienceThe convergence of variational data assimilation algorithm for high dimensiona...
International audienceThe convergence of variational data assimilation algorithms for high dimension...
International audienceThe convergence of variational data assimilation algorithms for high dimension...
International audienceThe convergence of variational data assimilation algorithms for high dimension...
International audienceSome tools are presented, which aim is to concentrate the effect of data assim...
International audienceSome tools are presented, which aim is to concentrate the effect of data assim...
National audienceThe key importance of data assimilation to oceanography and in particular to the de...
National audienceThe key importance of data assimilation to oceanography and in particular to the de...
© 2017 Institute of Marine Engineering, Science & Technology. Four-dimensional variational (4D-Var) ...
International audienceDue to the heavy developments it requires and its significant additional compu...
International audienceDue to the heavy developments it requires and its significant additional compu...
© 2017 Institute of Marine Engineering, Science & Technology. Four-dimensional variational (4D-Var) ...
Most ocean data assimilation systems are tuned to process and assimilate observations to constrain f...
Most ocean data assimilation systems are tuned to process and assimilate observations to constrain f...
International audienceA reduced order approach for 4D-Var data assimilation is presented in the cont...
International audienceThe convergence of variational data assimilation algorithm for high dimensiona...
International audienceThe convergence of variational data assimilation algorithms for high dimension...
International audienceThe convergence of variational data assimilation algorithms for high dimension...
International audienceThe convergence of variational data assimilation algorithms for high dimension...
International audienceSome tools are presented, which aim is to concentrate the effect of data assim...
International audienceSome tools are presented, which aim is to concentrate the effect of data assim...
National audienceThe key importance of data assimilation to oceanography and in particular to the de...
National audienceThe key importance of data assimilation to oceanography and in particular to the de...
© 2017 Institute of Marine Engineering, Science & Technology. Four-dimensional variational (4D-Var) ...
International audienceDue to the heavy developments it requires and its significant additional compu...
International audienceDue to the heavy developments it requires and its significant additional compu...
© 2017 Institute of Marine Engineering, Science & Technology. Four-dimensional variational (4D-Var) ...
Most ocean data assimilation systems are tuned to process and assimilate observations to constrain f...
Most ocean data assimilation systems are tuned to process and assimilate observations to constrain f...
International audienceA reduced order approach for 4D-Var data assimilation is presented in the cont...