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CLIMADA (from CLIMate ADAptation) is a free and open-source software framework for weather and climate risk modelling written in Python. It uses an event-based, probabilistic approach to integrate multiple hazards, exposure, and vulnerability into a risk assessment for impact forecasts on regional, national, and global scales. In line with the Economics of Climate Adaptation (ECA) methodology, recent versions of CLIMADA support cost-benefit analysis for climate risks in face of a warming climate. Explicitly incorporating adaptation measures and strategies, CLIMADA aims to support stakeholders and decision makers in handling climate-related impacts on infrastructure, societies, and ecosystems.Although CLIMADA is a primarily scientific tool, it is easy to learn and use. CLIMADA offers numerous tutorials with step-by-step guidance provided as Jupyter Notebooks. These and the extensive documentation are written for both Python beginners and advanced users. For quick and intuitive visual feedback of results, CLIMADA offers pre-defined plotting functions generating forecast and impact maps. Combining open-source software with open data, it allows users to explore and assess the numerous facets of climate risk. Recent versions of CLIMADA include a data API which automatically downloads required data like storm tracks and exposed assets. The available data on a global scale serves as a demonstration, and users can always read in custom datasets reflecting their particular use case. The combination of these features makes CLIMADA an efficient toolset for both research and education.In this contribution we will present CLIMADA and demonstrate its capabilities. We invite participants to join the session interactively and will provide ready-to-use examples and exercises. |
