Deep learning and variational inversion to quantify and attribute climate change (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book
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cite-as: Viktor Domazetoski, Andrés Zúñiga-González, Owen Allemang, Meghna Asthana, Nick Homer, and Devanjan Bhattacharya. "Deep learning and variational inversion to quantify and attribute climate change (CIRC23) (Jupyter Notebook) published in the Environmental Data Science book." ROHub. Aug 30 ,2023. https://w3id.org/ro-id/91046403-e0b7-41d3-8d60-4b540219ffa7.

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Image showing mean and standard deviation of the simulations of 12 climate models
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Detection and attribution of climate change: A deep learning and variational approach
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description: Related publication of the modelling presented in the Jupyter notebook
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