Flexible and demand-oriented provision, processing, and integration of climate and weather data for seamless business processes (FAIR)

Due to global climate change and the turnaround in energy policy, society is confronted with enormous challenges. To deal with climate and weather based risks affecting not only society but also the economy, an understandable and simple access to and usability of meteorological information is essential.

Our project FAIR addresses this challenge by facilitating the access to climate and weather based data provided by the German Meteorological Service (Deutscher Wetterdienst, DWD) for the public. An automated processing of this and ancillary data realized by individualized analysis and products, specialized services, and intuitive visualizations, promotes the potential of the expertise of the DWD. Innovative ideas can be created as a result of the simplified exchange of information between the DWD itself on the one hand and commercial as well as public data producers on the other hand. Combined with the implementation of existing tools and applications developed within the g2lab (esp. for areal interpolation, data classification, and visualization of uncertainties), FAIR supports three exemplary application scenarios:
-        planning of weather-dependent infrastructure projects,
-        site analysis and routing applications for electromobility, and
-        risk management of major events.

Considerable interests, consisting of, e.g., the Deutsche Bahn and Lufthansa, guarantee a sound development which is close to economic purposes and forms a basis for utilizing solutions beyond the scheduled project runtime.

This project is funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI). The mFUND-program promotes the scope of the BMVI’s extensive open source data research platform mCloud. Likewise, FAIR will be made available publicly/openly.

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Link to mFUND site of this project