A model-data weak formulation for simultaneous estimation of state and model bias
We introduce a Petrov-Galerkin regularized saddle approximation which incorporates a "model" (partial differential equation) and "data" (M experimental observations) to yield estimates for both state and model bias. We provide an a priori theory that identifies two distinct contr...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier,
2016-08-10T17:30:56Z.
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| Subjects: | |
| Online Access: | Get fulltext |