4 papers
A Structurally Localized Ensemble Kalman Filtering Approach
Boujemaa Ait-El-Fquih, Ibrahim Hoteit
State-of-the-art ensemble Kalman filtering (EnKF) algorithms require incorporating localization techniques to cope with the rank deficiency and the inherited spurious correlations…
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders
Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos +2
The generation of voluminous scientific data poses significant challenges for efficient storage, transfer, and analysis. Recently, error-bounded lossy compression methods emerged d…
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
Mohamad Abed El Rahman Hammoud, Naila Raboudi, Edriss S. Titi +2
Data assimilation (DA) plays a pivotal role in diverse applications, ranging from climate predictions and weather forecasts to trajectory planning for autonomous vehicles. A prime…
Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm
Mohamad Abed El Rahman Hammoud, Edriss S. Titi, Ibrahim Hoteit +1
Efficient downscaling of large ensembles of coarse-scale information is crucial in several applications, such as oceanic and atmospheric modeling. The determining form map is a the…