A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark (2021)
Attributed to:
PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems (PREMIERE)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1063/5.0051213
Publication URI: http://dx.doi.org/10.1063/5.0051213
Type: Journal Article/Review
Parent Publication: Physics of Fluids
Issue: 5