Since October 2023, a high-resolution urban climate analysis – based on the air flow model FITNAH-3D has been available for Heidelberg, which covers the city area with a spatial resolution of 5 x 5 m.  The results can be used to derive statements about the current microclimatic state and the expected change in the quality of living and local climate comfort for citizens and residents. 
The new screening tool (the so-called climate scanner) allows the display of microclimatic effects of individual measures (tree planting, green facades, etc.) or changes to the position of existing buildings "instantly" via a GIS-interface - without the need for high-performance computing. This enables a fact-based assessment of climate adaptation measures even before the planning process, which in turn prevents costly subsequent adjustments.
The tool is based on an artificial intelligence which is built on a neural network that combines the results of the Heidelberg urban climate analysis with a large number of different urban climate analyses in Germany.

(1) Physical constraints on the stratospheric injection of trace gases from wildfires (2) tbd (3) Assessing the Impacts of Hailstorms in a future climate - first results (4) tbd

 
 

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The intensification of extreme precipitation in a warming climate has been shown in observations and climate models to follow approximately theoretical Clausius-Clapeyron scaling. However, larger changes have been indicated in events of short-duration which frequently trigger flash floods or landslides, causing loss of life. At the same time heatwaves and associated droughts and water shortages are increasing in frequency. Together these provide cascading impacts on water quality, agricultural production and other societal necessities. Continental-scale convection-permitting climate models (CPCMs) and new observational datasets provide the state-of-the-art in understanding future changes to extreme weather (rainfall, wind, hail, lightning) and their compounding effects with global warming. But climate models are underestimating the rate of change of warming in the real world, and the increase in associated extreme weather events due to their poor representation of dynamical circulation changes and feedbacks from land, ocean and ice dynamics. It will be argued that a shift in focus is needed from our reliance on climate models towards embedding different lines of evidence in a transdisciplinary storylines approach. Ultimately we must work together across disciplines to address these rapid changes and co-create actionable information that can be quickly embedded into policy and practice, using this approach to improve both early warning systems and projections of extreme weather events for climate adaptation.

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(1) Forecast Dispersion and Sensitivity in observation-perturbed ensembles of data-driven weather prediction models (2) Impacts of Hailstorms on agricultural products (3) tbd (4) tbd