Review for NeurIPS paper: Ensembling geophysical models with Bayesian Neural Networks

Weaknesses: My main concerns are the following: 1) Although well-motivated, the paper does not include a related work section to help place this work in the community. Have others worked on combining ML with climate models before? I am aware of many works in Astrophysics that have done so, but I am not too familiar with this domain and would benefit from a summary of others working on similar ML approaches. Is this the prior variance of the weights? I would be interested to hear more details about this and how it was applied here.