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In an interview with the Science Media Center, CEDIM expert Andreas Schäfer explains the causes and consequences of the Kamchatka earthquake, emphasising the effectiveness of existing tsunami warning systems.
link (in German)
As of 30 Juni 2025 23:00 CEST
link (in German)
Insights into an extraordinary measurement campaign on hail formation: storm chasing, supercells and spectacular updraft measurements
Heat exposure is driven by climate change and population dynamics. We disentangled these drivers and show how observational and projection biases may influence future heat exposure.
3 things to know about climate change and hail risk
The new policy brief from IRDR presents different examples to developing science-based disaster risk reduction (DRR) products, with examples from CEDIM/Risklayer.
CEDIM is participating in the international ICECHIP hail measurement campaign in the Great Plains.
Simulating streamflow values with WRF-Hydro by using not yet observed meteorological droughts
KIT researchers are committed to strengthening rural communities in order to prepare them strategically for climate adaptation measures.
The asphalt is glowing, the air is shimmering – cities are heating up. CEDIM researcher Susanne Benz wants to use this excess heat to save energy. A crazy idea or the future of sustainable cities?
link to the KIT Podcast "Nachgefragt - wissen, wie's läuft" (in German)
WTW continues its long-standing partnership with CEDIM and NASA to advance the understanding and modeling of hail risks. Building on more than a decade of collaboration, this new phase will focus on using state-of-the-art data sets and research to address the challenges posed by hailstorms, with an emphasis on the impact of climate change.
As of 28 March 2025 14:00 CET
Due to geopolitical upheavals, climate change is in danger of slipping off the agenda. Researchers at CEDIM, together with other researchers at KIT, are calling for a rethink and are joining a nationwide appeal.
Storing flood water in retention basins could provide much-needed water for agriculture in times of drought – without risking flood protection.
KIT researchers - including CEDIM scientists - use machine learning to develop the first national flood forecasting model for small rivers
3D radar-based hail tracks reveal region-specific trends in Germany over the past 20 years.