A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation
We address the development of innovative algorithms designed to solve the strong-constraint Four Dimensional Variational Data Assimilation (4DVar DA) problems in large scale applications. We present a space-time decomposition approach which employs the whole domain decomposition, i.e. both along the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |