Variational data assimilation with deep prior (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book.
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The research object refers to the Variational data assimilation with deep prior (CIRC23) notebook published in the Environmental Data Science book.
Variational data assimilation with deep prior (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book
Mukulika Pahari, Rutika Bhoir, Tina Odaka, Caroline Arnold, and Paolo Pelucchi. "Variational data assimilation with deep prior (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book." ROHub. Sep 12 ,2023. https://w3id.org/ro-id/a6376631-ef64-4c7a-b242-893d096fd33b.
Contains outputs, (figures, models and results), generated in the Jupyter notebook of Variational data assimilation with deep prior (CIRC23)
Related publication of the modelling presented in the Jupyter notebook
Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization
Contains input Codebase of the reproduced paper used in the Jupyter notebook of Variational data assimilation with deep prior (CIRC23)
Lock conda file of the Jupyter notebook hosted by the Environmental Data Science Book
Jupyter Notebook hosted by the Environmental Data Science Book
Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book
Online rendered version of the Jupyter notebook
Conda environment when user want to have the same libraries installed without concerns of package versions
Image showing an example of the estimated motion fields with various algorithms
refer to the variational data assimilation
Environmental Data Science Book Community