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

<div> <div>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".</div> <br> <div>The folder FullAdaptation contains the data needed to produce the figures reported in the main text assuming adaptation as in Agrawala et al.</div> <div>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.</div> <br> <div>Each of these folders contains:</div> <div>- the original optimization experiments (with and without transfers under different inequality aversion levels);</div> <div>- the CRICE code which is used to simulate the obtained policies from the folders above;</div> <div>- folders containing figures (main/supp figures and optimization runtimes);</div> <div>- world-administrative boundaries shapefile (https://public.opendatasoft.com/explore/dataset/world-administrative-boundaries/export/);</div> <div>- script to compile the optimization version of CRICE (compile_run.sh). This is needed to run the optimizations but it requires substantial computational time;</div> <div>- script to select the best solution/runtime across seeds (best_runtime.py);</div> <div>- script to simulate the best solutions (simulate_sensitivity_mitigation.py). Before running this run "make clean &amp;&amp; make" in the CRICE50 folder to make sure the simulation model is compiled;</div> <div>- script to produce figures (analyze_results.py, plot_figures.py, plot_maps.py, plot_runtime.py).</div> </div>