- 1Julius Kühn-Institut, Strategies and Technology Assessment, Germany
- 2Institute of Geography, University Augsburg, Augsburg, Germany
- 3School of Computer Science & Engineering, Constructor University Bremen gGmbH, Bremen, Germany
- 4Soil and Spatial Data Science, Soilution GbR, Quedlinburg, Germany
- 5Vereinigte Hagelversicherung VVaG, Gießen, Germany
- 6Julius Kühn-Institut, Department of Digitalisation and Artificial Intelligence
The DynAWI Extreme Weather Toolbox represents an innovative approach to addressing climate-related challenges in agriculture. This publicly accessible web application offers three primary functions: a historical agricultural weather indicator atlas, a dynamic configurator for calculating user-specified weather indexes, and a forecast model for predicting reduced yields or complete crop failure due to weather extremes. The web application can perform real-time analyses based on multi-dimensional spatio-temporal data.
The technical implementation is based on a client-server architecture, utilizing a scalable geodata infrastructure and an array database management system rasdaman, enabling efficient processing of multidimensional geodata. The system allows real-time analysis of extreme weather events, such as droughts, heatwaves, and heavy rainfall, dating back to 1995. The toolbox aims to provide stakeholders—from farmers to policymakers—with a comprehensive platform for weather-related risk assessment and decision support in agriculture.
In a live demonstration, we will showcase the platform's key features, emphasizing its interactive capabilities and extensive parameter customization options.
How to cite: de Kock, A., Waldau, T., Batista, P., Baumann, P., Behrens, T., Fiener, P., Foeller, J., Moeller, M., Noehles, I., Schmidt, K., and Golla, B.: DynAWI Extreme Weather Toolbox: an online platform for agricultural risk assessment and decision support, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10578, https://doi.org/10.5194/egusphere-egu25-10578, 2025.
