Stressed economies respond more strongly to climate extremes - Data and Code Supplement

<p>This repository provides data and code to reproduce the results of the publication &quot;R. Middelanis, S. N. Willner, K. Kuhla, L. Quante, C. Otto, and A. Levermann (2023). Stressed economies respond more strongly to climate extremes. Environmental Research Letters.&quot;</p> <p>&nbsp;</p> <p><strong>dependencies:</strong></p> <ul> <li>a working environment is provided in environment.yml</li> <li>the Acclimate post-processing package can be downloaded from the respective GitHub repostory with&nbsp;<code>git@github.com:acclimate/post-processing.git</code>. Switch to the develop branch with&nbsp;<code>git checkout develop</code>&nbsp;and install the package with&nbsp;<code>conda develop .</code>&nbsp;from within the repository</li> </ul> <p>&nbsp;</p> <p><strong>data:</strong></p> <ul> <li>See&nbsp;<code>./data/README.md</code>&nbsp;for the required data and sources for those data that are not included in this repository.</li> </ul> <p>&nbsp;</p> <p><strong>Steps to reproduce the results:</strong></p> <p>1. Generate Acclimate input data</p> <ul> <li>Direct loss time series are obtained from &quot;Kuhla et al. (2021). Ripple resonance amplifies economic welfare loss from weather extremes. <em>Environmental Reserach Letters</em>&quot;.</li> <li>Acclimate input data (cf.&nbsp;<code>./data/README.md</code>) are generated with&nbsp;<code>./code/forcing.py</code></li> <li>The input data used in the pubilcation are available at&nbsp;<code>./data/acclimate_input</code></li> </ul> <p>2. Run Acclimate</p> <ul> <li>the Acclimate model can be downloaded from the respective GitHub repository at&nbsp;<a href="https://github.com/acclimate/acclimate">https://github.com/acclimate/acclimate</a></li> </ul> <p>3. Run the analyses</p> <ul> <li>Acclimate output files of the calibration runs and the scenario runs are aggregated with functions&nbsp;<code>aggregate_calibration_ensemble&nbsp;</code>and &nbsp;<code>aggregate_ensembles</code>&nbsp;in&nbsp;<code>./code/utils.py</code>, respectively.</li> <li>Aggregated ready-to-use output data is located in&nbsp;<code>./data/acclimate_output</code></li> <li>All figures can be reproduced with&nbsp;<code>./code/plotting.py</code></li> </ul>