Sebastian Friedemann

According to our database, Sebastian Friedemann authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic load/propagate/store for data assimilation with particle filters on supercomputers.

Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista-Gomez

J. Comput. Sci., 2024

2023

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses.

Marc Schouler, Robert Alexander Caulk, Lucas Thibaut Meyer, Théophile Terraz, Christoph Conrads, Sebastian Friedemann, Achal Agarwal, Juan Manuel Baldonado, Bartlomiej Pogodzinski, Anna Sekula, Alejandro Ribés, Bruno Raffin

J. Open Source Softw., July, 2023

A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation.

Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista-Gomez

CoRR, 2023

2022

Ensemble-based data assimilation for large scale simulations. (Assimilation de données par ensemble pour les simulations à grandes échelles).

Sebastian Friedemann

PhD thesis, 2022

An elastic framework for ensemble-based large-scale data assimilation.

Sebastian Friedemann, Bruno Raffin

Int. J. High Perform. Comput. Appl., 2022