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FAO dataset on renewable water resources projections under alternative climate change patterns

The FAO Global Perspectives Studies (GPS) Team has combined data from various hydrological models that simulate water availability at the pixel level and generated projections at the country level. They created the dataset by calculating relative changes in internal and inflowing water resources by country, resulting from different climate change scenarios. Relative changes were used to re-scale reported values in FAO AQUASTAT. The dataset disseminates projections of of water availability to support foresight analyses of food and agricultural systems.  

 

Date
2018
Publisher
FAO, Agricultural Development Economics
Region
Global
Policy Theme