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Data assimilation using Ensemble Score Filter with a surface quasi-geostrophic turbulence model

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Siming-Liang/EnSF_SQG

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Nonlinear ensemble filtering with diffusion models:Application to the surface quasi-geostrophic dynamics

Code repository for the paper: Nonlinear ensemble filtering with diffusion models:Application to the surface quasi-geostrophic dynamics https://arxiv.org/abs/2404.00844

How to use

first run sqg_nature_run.py to generate nature run. This code and LETKF codes are originally from https://github.com/jswhit/sqgturb

There are 4 experiments in the paper comparing LETKF and EnSF.

  1. linear observation

  2. linear observation + random model shocks

  3. arctangent observation

  4. 50% arctangent observation + 30% model shocks with probability of 10%

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Data assimilation using Ensemble Score Filter with a surface quasi-geostrophic turbulence model

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