Articles | Volume 26, issue 6
https://doi.org/10.5194/nhess-26-2609-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-2609-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
04 Jun 2026
Research article | Highlight paper |
| 04 Jun 2026
| 04 Jun 2026
Wikimpacts 1.0: a new global climate impact database based on automated information extraction from Wikipedia
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Department of Hydro Sciences, TUD Dresden University of Technology, Dresden, Germany
Wim Thiery
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Shorouq Zahra
RISE Research Institutes of Sweden, Sweden
Swedish centre for impacts of climate extremes (climes), Uppsala University, Uppsala, Sweden
Swedish centre for impacts of climate extremes (climes), RISE, Stockholm, Sweden
Mariana Madruga de Brito
Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Koffi Worou
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Swedish centre for impacts of climate extremes (climes), Uppsala University, Uppsala, Sweden
Murathan Kurfalı
RISE Research Institutes of Sweden, Sweden
Swedish centre for impacts of climate extremes (climes), RISE, Stockholm, Sweden
Seppe Lampe
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Paul Muñoz
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Departamento de Recursos Hídricos, Universidad de Concepción, 3812120, Chillán, Chile
Clare Flynn
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Swedish centre for impacts of climate extremes (climes), Uppsala University, Uppsala, Sweden
Camila Trigoso
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Joakim Nivre
RISE Research Institutes of Sweden, Sweden
Swedish centre for impacts of climate extremes (climes), Uppsala University, Uppsala, Sweden
Department of Linguistics and Philology, Uppsala University, Uppsala, Sweden
Jakob Zscheischler
Department of Hydro Sciences, TUD Dresden University of Technology, Dresden, Germany
Department of Compound Environmental Risks, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden/Leipzig, Germany
Gabriele Messori
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Swedish centre for impacts of climate extremes (climes), Uppsala University, Uppsala, Sweden
Department of Meteorology, Stockholm University, Stockholm, Sweden
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Total article views: 6,270 (including HTML, PDF, and XML)
Cumulative views and downloads
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Total article views: 157 (including HTML, PDF, and XML)
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| HTML | XML | Total | Supplement | BibTeX | EndNote | |
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| 129 | 19 | 9 | 157 | 8 | 9 | 6 |
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Total article views: 6,113 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Oct 2025)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
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| 3,516 | 2,372 | 225 | 6,113 | 369 | 214 | 183 |
- HTML: 3,516
- PDF: 2,372
- XML: 225
- Total: 6,113
- Supplement: 369
- BibTeX: 214
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Viewed (geographical distribution)
Total article views: 6,270 (including HTML, PDF, and XML)
Thereof 6,155 with geography defined
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Total article views: 157 (including HTML, PDF, and XML)
Thereof 113 with geography defined
and 44 with unknown origin.
Total article views: 6,113 (including HTML, PDF, and XML)
Thereof 6,042 with geography defined
and 71 with unknown origin.
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Latest update: 22 Jun 2026
Editorial statement
This study presents a novel global database, Wikimpacts 1.0, that leverages natural language processing and automated information extraction to systematically capture multi-scale socio-economic impacts of climate extremes over nearly a millennium. By demonstrating strong accuracy and complementary coverage to established datasets, it highlights the transformative potential of AI-driven approaches to expand, refine and democratize climate impact data for research and decision-making.
This study presents a novel global database, Wikimpacts 1.0, that leverages natural language...
Short summary
Climate extremes threaten society and ecosystems, making impact understanding critical. Wikimpacts 1.0 provides an automated pipeline processing Wikipedia texts with underexploited information on climate impacts, yielding comprehensive socio-economic impact data for 2726 climate events from 1034–2024. It offers broader storm-related impacts and finer spatial resolution than established databases, showcasing natural language processing's potential to advance climate impact data.
Climate extremes threaten society and ecosystems, making impact understanding critical.
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