https://github.com/ray-chew/data_assimilation_examples

Simple data assimilation studies
https://github.com/ray-chew/data_assimilation_examples

4d-var burgers-equation data-assimilation examples-python extended-kalman-filter lax-friedrich lorenz-attractor sir-filter

Last synced: 4 months ago
JSON representation

Simple data assimilation studies

• Host: GitHub
• URL: https://github.com/ray-chew/data_assimilation_examples
• Owner: ray-chew
• License: apache-2.0
• Created: 2024-03-19T13:06:25.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-19T15:00:05.000Z (over 1 year ago)
• Last Synced: 2025-01-11T13:54:36.170Z (5 months ago)
• Topics: 4d-var, burgers-equation, data-assimilation, examples-python, extended-kalman-filter, lax-friedrich, lorenz-attractor, sir-filter
• Language: Jupyter Notebook
• Homepage:
• Size: 583 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Some data assimilation examples I attempted.

- `Lorenz-63.ipynb` studies the effect of 

    * Extended Kalman Filter

    * Sequential Importance Resampling (SIR) Filter

    * 4D-Var

  on a Lorenz-63 model.

- `Lax-Friedrichs-1D.ipynb` studies the effect of variational data assimilation on the Burgers' equation following [Chung et al.](https://dl.acm.org/doi/10.1145/331697.332342)

  * I do not think the script is working.