During the warm season, strong thunderstorms regularly occur in the Alpine region. They are often accompanied by hail, heavy rainfall and gale-force gusts of wind. In addition, lightning and flash floods can cause severe damage to properties and infrastructure and lead to life-threatening situations. Accurate storm warnings are therefore essential to reduce damage and protect the population. The development of thunderstorms is determined by dynamic and physical processes ranging from microphysical to synoptic scales. These processes are well understood at a conceptual level, but when it comes to the specific prediction of a thunderstorm, the ability of weather forecasting models is limited for the following reasons: Firstly, the complexity of the microphysical processes goes beyond what can be explicitly represented in an operational weather forecast model due to computational time constraints. Secondly, there are still uncertainties in the simulation of turbulent and microphysical processes. Thirdly, the development of thunderstorms is a non-linear process. It is therefore very sensitive to small uncertainties in the initial state of the atmosphere, which limits its predictability (deterministic chaos). For these reasons, so-called nowcasting methods are used to generate precise, localised thunderstorm warnings with forecast times of a few minutes to a few hours.
To create the COALITION-4 nowcasting products, ground-based radar and lightning data, satellite observations and weather model forecasts are analysed using machine learning (artificial intelligence) methods. These are able to represent multivariate non-linear processes of complex systems and take a large number of predictors into account. Predictors are information on which the prediction is based: The radar data provides information about the hydrometeors (rain, hail, ice crystals, etc.), while the imaging satellite sensors observe the clouds. And the weather model calculates for instance the water vapour content in the atmosphere. With the help of the predictors, the current state of the thunderstorm and the atmospheric environment can be characterised and its further development can be estimated. As there are numerous possible predictors, a selection must be made that incorporates our knowledge of the underlying dynamic and physical processes.
The following milestones have already been reached in this project:
The first satellite of the new generation of European geostationary weather satellites, Meteosat Third Generation Imager 1, was launched into space at the end of 2022. The first pre-operational data deliveries began at the end of 2023. MTG has greatly improved and completely newly developed sensors on board that offer unprecedented opportunities to observe thunderstorms. In COALITION-4, the utilisation of MTG data has already been prepared in previous years:
For further information on the COALITION-4 project, please contact Ulrich Hamann.