This repository provides data and code to reproduce the results of the publication "L. Quante, S. N. Willner, C. Otto, and A. Levermann (2024). Global economic impact of weather variability on the rich and the poor, Nature Sustainability". This repository contains: - 01_forcing_marginal_effects: marginal effects data to be combined with climate model data to generate the impacts- 02_impact_data - timeseries of production disruption, generated as described in the methods "Estimation of direct production losses", using the code in 03_impact_downscaling- 04_acclimate_settings: example settings for acclimate runs using the impact files. Due to licensing restrictions, we can not provide the EORA network data used for the simulations piublicly. 04b_income_share_generation provides the income data (from the World Bank) used to disaggregate consumption data in the EORA network to five income quintiles.- 05_pre_processed_simulation_output: the output from the acclimate simulations, pre-procesed for analysis using the code provided in 06_analysis-code- 07_figures_tables: figures and supplementary data.- 08_addtional_data: data used for plotting, i.e. the World Bank classification of country income levels. Dependencies: a working environment is provided in environment.yml the Acclimate post-processing package can be downloaded from the respective GitHub repostory with git@github.com:acclimate/post-processing.git. Switch to the develop branch with git checkout develop and install the package with conda develop . from within the repository