59 citations · 123 across the 11 of their papers we have counts for
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cs.CE2018★ 4 cited
An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters
Ahmed Attia, Emil Constantinescu
We develop an optimal experimental design framework for adapting the covariance inflation and localization in data assimilation problems. Covariance inflation and localization are…
stat.ME2018★ 4 cited
A Machine Learning Approach to Adaptive Covariance Localization
Azam Moosavi, Ahmed Attia, Adrian Sandu
Data assimilation plays a key role in large-scale atmospheric weather forecasting, where the state of the physical system is estimated from model outputs and observations, and is t…
cs.CE2018★ 59 cited
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems
Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba
We develop a framework for goal-oriented optimal design of experiments (GOODE) for large-scale Bayesian linear inverse problems governed by PDEs. This framework differs from classi…