Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Recurso digital |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Zenodo
2025
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| Konular: | |
| Online Erişim: | https://doi.org/10.5281/zenodo.17021146 |
| Etiketler: |
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İçindekiler:
- <p><strong>Description</strong></p> <p>This Zenodo archive contains the complete dataset, outputs, and computational environment for the publication<br>“From Weather to System Extremes: How Much Data Is Enough?” (Nature Communications, 2025).<br>It is a full copy of the GitHub repository, including all code, input data, and results needed to reproduce the study.</p> <p>The dataset covers six decades of European energy system simulations and supports the paper’s analysis of how meteorological variability translates into system-level stress in highly renewable, sector-coupled systems.<br>It includes implementation of the Statistical Peak Aggregation (SPA) and TAILS methods for event detection and threshold selection.</p> <p><strong>Contents:</strong></p> <ul> <li>Full Python codebase with reproducible Conda environments</li> <li>All input and processed data (meteorology, demand, PyPSA-Eur network)</li> <li>Simulation results, indicator time series, and event classifications</li> <li>Generated figures, tables, and statistical summaries</li> <li>Jupyter notebooks and reports for analysis reproduction</li> </ul> <p><strong>Usage:</strong></p> <p>conda env create -f env/environment_full.yaml<br>conda activate FromWeatherToSystemExtremes2025<br>python main.py<strong><br></strong></p> <p><strong>Licenses:</strong><br>Code — GPL-3.0 | Data — CC BY 4.0</p> <p><strong>Citation:</strong><br>Fürmann, T., Gøtske, E.K., Rahdan, P., Grochowicz, A., Schäfer, M., Weidlich, A., & Victoria, M. (2025).<br>From Weather to System Extremes: How Much Data Is Enough? Submitted to Nature Communications (2025)<br>Prepring on Research Square: https://doi.org/10.21203/rs.3.rs-7518804/v1</p>