Against forgetting the climate facts: On dealing with extreme events; [Gegen das Vergessen der Klimafakten: Zum Umgang mit Extremereignissen]
Keywords:
Climate Change, Extreme Events, Climate Risk, GIS, Geospatial Data, Disaster Management, Climate AdaptationAbstract
This article discusses the challenge of responding to climate-related extreme events without losing sight of the underlying climate facts. Floods, heat waves, storms, droughts, and other extreme events can have major effects on people, infrastructure, agriculture, and the environment. Understanding these events requires reliable information about where impacts occur, how conditions change, and which areas are particularly exposed. Geospatial technologies can support this work by combining environmental observations, historical records, maps, remote sensing, and other spatial datasets. GIS can help visualize patterns and make complex climate information easier to use in planning and risk management. The article emphasizes the importance of maintaining a long-term perspective instead of treating every extreme event as an isolated incident. Digital maps and data services can help authorities, professionals, and communities compare events over time and identify areas that may require adaptation measures. Effective communication is also important because climate information needs to be understandable to people who make decisions about infrastructure and land use. The discussion therefore connects climate knowledge with practical spatial planning. It highlights how reliable geodata can support preparedness, improve awareness of changing risks, and contribute to more informed responses to extreme events. The central message is that remembering and understanding climate facts is essential for developing resilient communities and making better decisions about future environmental conditions. Keeping these facts visible in planning processes can help communities move from short-term reaction toward long-term adaptation and resilience.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.



