The adaptation to climate change requires interdisciplinary knowledge, based on scientific literature, experts and empirical observations. This knowledge is not well enough structured yet, to allow for a systematic analysis of risks and their triggering factors taking into account different geographic and temporal dimensions. The planning of adaption to climate change requires solutions for the integration querying and processing of big earth observation data as well as data from meteorological models. The CRIMA project aims at offering ontology based decision support systems that integrates information from scientific literature with quantitative data. This supports analysis to reduce the impact of climate risks and allows for better adaptive measures, combining the flexibility of ontology based data models for the representation of knowledge of risks with earth observation data management systems. The industrial research activities include the development of user interfaces based on natural language to reduce the entry level hurdle for non-technical users and the testing of the developed solutions in concrete user scenarios in the context of hydro-meteorological and drought risks.

Eurac is leading the project and responsible for the ontological representation of climate risks through the Centre for Climate Change and Transformation, as well as linking these graph-based representation of knowledge to graph-based data processing with Earth Observation data using openEO through the Institute for Earth Observation.

Contact Person: Alexander Jacob ( alexander.jacob@eurac.edu )