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Proposing Institution

Department für Geographie, Fakultät für Geowissenschaften,LMU
Project Manager

Prof. Dr. Wolfram Mauser
Luisenstraße 37
80333 München
ViWA aims at developing and using a global, high-spatial and -temporal resolution, remote sensing based management and monitoring system for the efficiency and sustainability of water use in agriculture and competing sectors. This enables to transparently and neutrally assess the progress in achieving water-related sustainable development goals through more efficient use of water. The monitored high resolution data allows ViWA to consider both the global and the local in developing, formulating and analyzing trade-offs of practice-relevant solution options for a more sustainable and efficient use of water resources including a more environment-friendly trade with virtual water. To achieve its goals the project aims at the following targets:- Identify and quantify the current use of scarce water resources, the water use efficiency and the agricultural yields on an annual and global level and with high spatial and temporal resolution through a new combined monitoring and modeling approach based on Copernicus satellite remote sensing data.- Assess and evaluate the economic consequences and (in-)efficiency of the current water use and water allocation, including trade in virtual water for agriculture, industry and water management based on the monitored data.- Investigate consequences of moving towards a sustainable and efficient water use for the regional welfare of water rich and water poor countries both with respect to locally sustainable water use as with respect to global virtual water trade.- Assess the vulnerability of agriculture and ecosystems to climate variability with special emphasis on water availability.- Identify regional hot-spots of unsustainable water use in order to describe institutional obstacles for a sustainable and efficient water use.- Identify trade-offs between the commercial water use and protection of ecosystem services.- Develop solution options for sustainable water management with the help of scenarios and their trade-offs investigated for selected use-cases.To achieve these goals, the land-surface model PROMET will be run on the entire Earth, fed by information about land-use, meteorological observations and satellite data from the opernicus missions. The model is written in FROTRAN and parallelized with OpenMP. It has been tested and optimized for CoolMUC-2. Since no coupling between different regions is necessary, the project will be run as a job-farming effort, computing large patches of the Earth simultaneously. To this end, the Tool "Poor Farmer" developed by Gilbert Brietzke at LRZ will be employed.

Impressum, Conny Wendler