The session aims to present approaches, methods, and application examples that use planning processes for climate adaptation measures with the help of planning-oriented, urban climatic investigation methods, AI-supported recognition and recording of local climatic phenomena and conditions to identify fields of action and to develop easily manageable building blocks that determine site-adapted recommendations for action and prepare them in such a way that they can be concretely implemented and, in particular, taken into account in municipal urban land-use planning. Such approaches and ideas enable an innovative, applied, planning-oriented urban climatology that can use its climate adaptability for future-oriented, climate-adapted designs and recommendations for action.
One tool for identifying these impacts is the calculation of climate twins. With the help of these climate equivalents, the climate research perspective creates an explanatory path that provides spatial planning with directional certainty and thus a perspective for the future. In addition, the spatial planning approach offers the opportunity to introduce further steps towards optimised urban adaptation to climate change into the scientific and practical planning discourse. This builds a bridge to applied, planning-oriented urban climatology, which is of immense relevance in this area of tension. Furthermore, an AI based process will be developed that is able to carry out a climate inventory of settlements using satellite data. From this, the AI will generate an appropriate scenario that visually distinguishes different areas from each other. This AI-generated and spatially visualisable representation will enable the rapid identification of local climate risk areas.
Integrated Planning for Local Climate Resilience: Leveraging Climate Twins and Artificial Intelligence