On August 22, the final stakeholder workshop of the WASCAL WRAP2.0 LANDSURF project took place with the presentation of a freely accessible Decision Support System (DSS). The system contains a large number of (agro-)climatic variables from both the past (1981-2010) and the future up to the end of the 21st century, assuming various greenhouse gas scenarios. The underlying data is based on an ensemble of high-resolution regional climate models. In addition, a similar system from the WASCAL WRAP2.0 FURIFLOOD project was presented, which focuses on hydrological aspects.

Urban populations are significantly affected by air pollution, which poses a major threat to public health. However, standardized and public mobility data, essential for an exposure assessment, are frequently unavailable. Earth Observation-derived and model datasets can support large-scale health studies especially in remote areas with limited data availability.

As part of the BMBF project WASCAL WRAP2.0 LANDSURF, we have published a dataset with a large number of agricultural relevant indices for Africa. These include indices of temperature, heat, drought, and precipitation as well as various crop-specific indices of water availability for 12 different crops.