Climate change leads to changes in the water cycle, which in the future can be expected to increase the occurrence of extreme events such as drought, heavy rain or floods, with sometimes significant civil and economic damage effects. Current work focuses primarily on the study and ultimately on increasing the resilience of large catchment areas. However, hydro-meteorological extreme events resulting from short, very intense heavy rain events occur mostly small-scale and are difficult to observe there. In particular, there is a lack of sufficiently dense observation networks and modelling methods as a basis for the creation of warning systems in smaller catchment areas. This is where the project starts: Using the example of small and medium catchment areas in Saxony, innovative techniques for spatially and temporally high-resolution observation and simulation of small-scale extreme events are developed. On the basis of application-specific remote sensing techniques, modern low-cost sensors and geo-information technologies, new forms of operational monitoring systems are being developed for the efficient compaction of existing observation networks. At the same time, historical analyses and predictive modelling of small-scale extreme events with different climate scenarios should help to better estimate the expected effects of climate change.