Sensitivity Analysis of the Data Assimilation-Driven Decomposition in Space and Time to Solve PDE-Constrained Optimization Problems
This paper is presented in the context of sensitivity analysis (SA) of large-scale data assimilation (DA) models. We studied consistency, convergence, stability and roundoff error propagation of the reduced-space optimization technique arising in parallel 4D Variational DA problems. The results are...
Main Authors: | Luisa D’Amore, Rosalba Cacciapuoti |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Axioms |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1680/12/6/541 |
Similar Items
-
Model Sensitivity Evaluation for 3DVAR Data Assimilation Applied on WRF with a Nested Domain Configuration
by: Mingchun Lam, et al.
Published: (2021-05-01) -
Domain Decomposition Method for the Variational Assimilation of the Sea Level in a Model of Open Water Areas Hydrodynamics
by: Valery Agoshkov, et al.
Published: (2019-06-01) -
Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines*
by: Niu Lingfeng, et al.
Published: (2015-03-01) -
Convergence Through a Weak Consistency Model
by: Francisco J. Torres-Rojas, et al.
Published: (2018-07-01) -
A Maximum Likelihood Ensemble Filter via a Modified Cholesky Decomposition for Non-Gaussian Data Assimilation
by: Elias David Nino-Ruiz, et al.
Published: (2020-02-01)