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Variational data assimilation with deep prior (Jupyter Notebook) published in the Environmental Data Science book

Authors: Pahari, Mukulika; Bhoir, Rutika; This EDS book notebook contributors;

Variational data assimilation with deep prior (Jupyter Notebook) published in the Environmental Data Science book

Abstract

Notebook developed to demonstrate the computational reproduction of the paper Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization, published in Environmental Data Science journal.

If you use this software, please cite it using the metadata from this file.

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Keywords

Ocean, Atmospheric Science, Reproducibility Challenge, Environmental Data Science, Modelling

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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