Session Applications of Machine Learning and Artificial Intelligence to Data Assimilation


Description:

The proliferation of observational data and the continually evolving complexity of environmental models present computational challenges to data assimilation within the constraints of timeliness and accuracy for operations. Contributions are sought describing the use of AI/ML to address these challenges.


Submission Deadline: Wednesday, 24 August 2022