2 papers
cs.DC2023
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation
Sebastian Friedemann, Kai Keller, Yen-Sen Lu +2
Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Pa…
cs.CE2020
An elastic framework for ensemble-based large-scale data assimilation
Sebastian Friedemann, Bruno Raffin
Prediction of chaotic systems relies on a floating fusion of sensor data (observations) with a numerical model to decide on a good system trajectory and to compensate nonlinear fee…