Estimated annual irrigation water needs for the climate (1991-2020) and projection (2021-2050) periods, expressed as statistical distribution (5th, 25th, 50th, 75th and 95th percentiles).
5 maps (one for each percentile) and for 2 periods (climate and projection)
This use case provides impact studies of crop irrigation under climate change projections. It combines information on agricultural land use from satellite data, observed weather data, climate weather series, HIGHLANDER future projections, and a soil water balance model.
It is based on the 2022 crop distribution, derived from satellite data, cadastral map, Corine Land Cover. Other input datasets are:
1. VHR-PRO_IT Downscaling at very fine resolution of COSMO-CLM over Italy from 8 km to 2.2 km hor. res. for 1989-2050 (hopefully 1981-2065), NetCDF format. Temperature and precipitation, over all the period and aggregation for having the daily data.
2. VHR-REA_IT Dynamical Downscaling of ERA5 at hourly level with COSMO-CLM, 2.2 km hor.res. for 1989-2018 (hopefully 1981-2019). NetCDF format. Temperature and precipitation, over all the period and aggregation for having the daily data.
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