Here the scripts are stored which are used within De Hertog et al. (2022) (https://doi.org/10.5194/esd-2022-5)
Below you can find a short description of the scripts which are stored and how they were applied in the analysis:
1. evaluation_sensitivity_mean.ipynb
python notebook that takes signal seperated surface temperature and observational dataset and plots them against each other
2. evaluation_sensitivity_mean_eflux.ipynb
python notebook that takes signal seperated energy fluxes and observational dataset and plots them against each other
3. evaluation_sensitivity_seas.ipynb
python notebook that takes signal seperated surface temperature and observational dataset and plots them against each other for the seasons
4. evaluation_sensitivity_seas_eflux.ipynb
python notebook that takes signal seperated energy fluxes and observational dataset and plots them against each other for the seasons
5. plot_signals_all_models.ipynb 
python notebook that plots signal seperated data for the 3 ESMs
6. LCLM_checkers.ipynb
python notebook that plots the land cover in mangement changes between the different simulations
7. Ebal_decomp-all.ipynb
python notebook that describes the functions used for the signal seperation
8. signal_separation.sh and prepare_local_nonlocal_total_effects.py
Scripts used for signals seperation of raw ESM data
9. regrid_ecearth.py and regrid_ecearth.sh
Python script and bash wrapper to regrid signal seperated EC-EARTH data to a regular grid