Deep learning and variational inversion to quantify and attribute climate change (Jupyter Notebook) published in the Environmental Data Science book

Notebook developed to demonstrate the computational reproduction of the paper Detection and attribution of climate change: A deep learning and variational approach, published in Environmental Data Science journal.

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Related Organizations

University of Cambridge
United Kingdom
University of Göttingen
Germany

Keywords

Reproducibility Challenge, General, Environmental Data Science, Modelling

1 Research products, page 1 of 1

Deep learning and variational inversion to quantify and attribute climate change (Jupyter Notebook) published in the Environmental Data Science book
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