HIGHLIGHTS
- who: Deep prior and colleagues from the CNRS, Sorbonne Universitu00e9, Paris, France have published the Article: Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization, in the Journal: (JOURNAL)
- what: The authors propose to use a a neural architecture that generates potential solutions and acts as implicit regularization. Inspired by image priors the authors propose a hybrid method bridging a neural network and the 4D-Var mechanistic constraints to assimilate observation without specifying any statistics. The authors propose a hybrid methodology bridging deep prior and variational data assimilation and the authors . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.