• Corpus ID: 244130419

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation

@article{Chennault2021AdjointMatchingNN,
  title={Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation},
  author={Austin Chennault and Andrey A. Popov and Amit N. Subrahmanya and Rachel Cooper and Anuj Karpatne and Adrian Sandu},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.08626}
}
The data assimilation procedures used in many operational numerical weather forecasting systems are based around variants of the 4D-Var algorithm. The cost of solving the 4D-Var problem is dominated by the cost of forward and adjoint evaluations of the physical model. This motivates their substitution by fast, approximate surrogate models. Neural networks offer a promising approach for the data-driven creation of surrogate models. The accuracy of the surrogate 4D-Var problem’s solution has been… 

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