Downscaling using CDAnet under Observational and Model Noises: The Rayleigh-Benard Paradigm
Type
PreprintKAUST Department
Mechanical Engineering ProgramPhysical Science and Engineering (PSE) Division
Earth Science and Engineering Program
Extreme Computing Research Center
Applied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
KAUST Grant Number
CRG2020-4336REP/1/3268-01-01
Date
2023-09-13Permanent link to this record
http://hdl.handle.net/10754/694398