Geo-Disasters: geocoding climate-related events in the international disaster database EM-DAT
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916778300407808 |
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| author | Teber, Khalil Weynants, Mélanie Gans, Fabian Mahecha, Miguel D. |
| author_facet | Teber, Khalil Weynants, Mélanie Gans, Fabian Mahecha, Miguel D. |
| contents | Climate hazards can escalate into humanitarian disasters. Understanding their trajectories -- considering hazard intensity, human exposure, and societal vulnerability -- is essential for effective anticipatory action. The International Disaster Database (EM-DAT) is the only freely available global resource of humanitarian disaster records. However, it lacks exact geospatial information, limiting its use for climate hazard impact research. Here, we provide geocoding of 9,217 climate-related disasters reported by EM-DAT from 1990 to 2023, along with an open, reproducible framework for updating. Our method remains accurate even when only region names are available and includes quality flags to assess reliability. The augmented EM-DAT enables integration with other geocoded data, supporting more accurate assessment of climate disaster impacts and adaptation deficits. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_03797 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Geo-Disasters: geocoding climate-related events in the international disaster database EM-DAT Teber, Khalil Weynants, Mélanie Gans, Fabian Mahecha, Miguel D. Geophysics Climate hazards can escalate into humanitarian disasters. Understanding their trajectories -- considering hazard intensity, human exposure, and societal vulnerability -- is essential for effective anticipatory action. The International Disaster Database (EM-DAT) is the only freely available global resource of humanitarian disaster records. However, it lacks exact geospatial information, limiting its use for climate hazard impact research. Here, we provide geocoding of 9,217 climate-related disasters reported by EM-DAT from 1990 to 2023, along with an open, reproducible framework for updating. Our method remains accurate even when only region names are available and includes quality flags to assess reliability. The augmented EM-DAT enables integration with other geocoded data, supporting more accurate assessment of climate disaster impacts and adaptation deficits. |
| title | Geo-Disasters: geocoding climate-related events in the international disaster database EM-DAT |
| topic | Geophysics |
| url | https://arxiv.org/abs/2506.03797 |