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A scalable space-time domain decomposition approach for solving large-scale nonlinear regularized inverse ill-posed problems in 4D variational data assimilation
Luisa D'Amore. Emil Constantinescu, Luisa Carracciuolo
We develop innovative algorithms for solving the strong-constraint formulation of four-dimensional variational data assimilation in large-scale applications. We present a space-tim…
Parallel framework for Dynamic Domain Decomposition of Data Assimilation problems a case study on Kalman Filter algorithm
Rosalba Cacciapuoti, Luisa D'Amore
We focus on Partial Differential Equation (PDE) based Data Assimilatio problems (DA) solved by means of variational approaches and Kalman filter algorithm. Recently, we presented a…
Domain Decomposition in space-time of 4D-VAR Data Assimilation problem: a case study on the ROMS software
L. D'Amore, R. Cacciapuoti, A. Moore
Domain Decomposition of 4D-VAR Data Assimilation (DD-4DVAR) is made up of decomposition of the spate-time domain, solution of reduced forecast model and minimization of local 4D-VA…