An unsupervised learning approach to identifying blocking events: the case of European summer (2021)
Attributed to:
Using machine learning to constrain the atmospheric dynamics contribution to regional climate change
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.5194/wcd-2-581-2021
Publication URI: http://dx.doi.org/10.5194/wcd-2-581-2021
Type: Journal Article/Review
Parent Publication: Weather and Climate Dynamics
Issue: 3