Heat-related health impacts across national mitigation and urban adaptation scenarios in European cities - Data
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Heat-related health impacts across national mitigation and urban adaptation scenarios in European cities - Analysis Data Data to reproduce the analysis and visualization scripts for the journal publication Rodés-Bachs, C., Vicedo-Cabrera, A., Sampedro, J., Masselot, P., Koasidis, K., & Van de Ven, D. (2026). Heat-related health impacts across national mitigation and urban adaptation scenarios in European cities. Preprint available soon. Check out the GitHub parent directory with all the source code to reuse this data. Abstract Heat exposure is a critical health risk, yet health outcomes and age-related vulnerability remain underrepresented in climate scenario analysis. This study bridges this gap by presenting a novel framework for estimating heat-health impacts across policy-relevant mitigation scenarios and adaptation strategies. By fusing integrated assessment modeling, climate emulators, and epidemiological methods with Urban Heat Island and age-specific mortality data, we quantify heat impacts across 854 European cities. This research provides a robust methodological foundation to facilitate the integration of public health dimensions into strategic urban and national policy design. Related repositories: Preprint publication: Available soon. Data Zenodo archive: Processed data to reproduce the figures and the analysis. Code GitHub repository and Zenodo archive: Code with the methodological pipeline, data download and preprocessing, analysis and figures' creation. GCAM-Europe 7.2.0: GCAM version used to run the BASE and MITIG scenarios. STITCHES: Downscaling procedure for GCAM-Europe projected temperature. BASE: Bias Adjustment and Statistical Downscaling procedure. How to reuse this data? Clone the repository: Clone the project from GitHub. Download the data: Download and unzip the complete data archive available in this Zenodo entry. Set up the directory: Move all unzipped files directly into the data/ folder of your cloned repository. Generate figures: Run the replication scripts R/10_figures.R and R/10_figures_si.R following the execution steps Contact & Support If you have any questions, feedback, or suggestions, please feel free to reach out to claudia.rodes@bc3research.org. Funding acknowledgement This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement number 101081179 (DIAMOND project).
