Data and code in support of "Quantifying international climate finance needs and its social and climate benefits"

These folders contain the code and figures for experiments, data analysis and visualization of results associated with the paper "Quantifying international climate finance needs and its social and climate benefits".

The folder FullAdaptation contains the data needed to produce the figures reported in the main text assuming adaptation as in Agrawala et al.

The folder WITCHAdaptation contains the data needed to produce the figures reported in the supplementary material and discussed in the context of alternative assumptions for adaptation modeling.

Each of these folders contains:

- the original optimization experiments (with and without transfers under different inequality aversion levels);

- the CRICE code which is used to simulate the obtained policies from the folders above;

- folders containing figures (main/supp figures and optimization runtimes);

- world-administrative boundaries shapefile (https://public.opendatasoft.com/explore/dataset/world-administrative-boundaries/export/);

- script to compile the optimization version of CRICE (compile_run.sh). This is needed to run the optimizations but it requires substantial computational time;

- script to select the best solution/runtime across seeds (best_runtime.py);

- script to simulate the best solutions (simulate_sensitivity_mitigation.py). Before running this run "make clean && make" in the CRICE50 folder to make sure the simulation model is compiled;

- script to produce figures