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Data Assimilation using Sequential Importance Resampling

These are code used in the development of our 2021 MATH50002 Group Research Project.

By: N. Barykin Pankevich, E. Gibson, G. Luo, E. Prideaux-Ghee, Z. Salleh

We applied the SIR filter algorithm as described in the book Probabilistic Forecasting and Bayesian Data Assimilation by Reich & Cotter (2015) on the Lorenz-63 model and point vortices.

Functions used for plots are defined in lorenz63.py and vortices.py for their respective models. Plots are made in the lorenz63_plots.py and vortices_plots.py

Files starting with trials are earlier incomplete versions of lorenz.py and vortices.py mixed with some plots