MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications

Python Jupyter Notebook Submitted 12 February 2024 • Published 22 August 2024
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Editor: @srmnitc (all papers)
Reviewers: @abhishektiwari (all reviews), @WarmCyan (all reviews)

Authors

Ou Ku (0000-0002-5373-5209), Fakhereh Alidoost (0000-0001-8407-6472), Xu Shan (0000-0002-0569-4326), Pranav Chandramouli (0000-0002-7896-2969), Sonja Georgievska (0000-0002-8094-4532), Meiert W. Grootes (0000-0002-5733-4795), Susan Steele-Dunne (0000-0002-8644-3077)

Citation

Ku et al., (2024). MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications. Journal of Open Source Software, 9(100), 6591, https://doi.org/10.21105/joss.06591

@article{Ku2024, doi = {10.21105/joss.06591}, url = {https://doi.org/10.21105/joss.06591}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {100}, pages = {6591}, author = {Ou Ku and Fakhereh Alidoost and Xu Shan and Pranav Chandramouli and Sonja Georgievska and Meiert W. Grootes and Susan Steele-Dunne}, title = {MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications}, journal = {Journal of Open Source Software} }
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Measurement Operator Data Assimilation Machine Learning Kalman Filter

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066