Code for "Ensemble Oscillation Correction (EnOC): Leveraging oscillatory modes to improve forecasts of chaotic systems"

This repository contains the code for the paper "Ensemble Oscillation Correction (EnOC): Leveraging oscillatory modes to improve forecasts of chaotic systems" by Eviatar Bach, Safa Mote, V. Krishnamurthy, A. Surjalal Sharma, Michael Ghil, and Eugenia Kalnay.

All the code was written by Eviatar Bach. You can contact me with any questions at eviatarbach@protonmail.com.

Dependencies

Julia:

Python:

analog.jl: Functions for analog forecasting and mapping to the oscillation subspace.
da.jl: An ensemble transform Kalman filter.
integrators.jl: The Runge--Kutta 4th-order integrator.
models.jl: The tendency functions for each toy model.
ssa.jl: Functions for decomposing and reconstructing a signal using multi-channel singular spectrum analysis (M-SSA).
ssa_varimax.jl: Utility functions for varimax SSA.

Name		Name	Last commit message	Last commit date
Latest commit History 135 Commits
LICENSE		LICENSE
README.md		README.md
analog.jl		analog.jl
da.jl		da.jl
enoc.jl		enoc.jl
ens_forecast.jl		ens_forecast.jl
integrators.jl		integrators.jl
models.jl		models.jl
ssa.jl		ssa.jl
ssa_varimax.jl		ssa_varimax.jl
sweep_chua.py		sweep_chua.py
sweep_colpitts.py		sweep_colpitts.py
sweep_osc.py		sweep_osc.py
test_chua.jl		test_chua.jl
test_chua_template		test_chua_template
test_colpitts.jl		test_colpitts.jl
test_colpitts_template		test_colpitts_template
test_osc.jl		test_osc.jl
test_osc_template		test_osc_template
test_ssa.jl		test_ssa.jl