Input data aggregation affects crop model estimates at the regional level. Previous studies have focused on the impact of aggregating climate data used to compute crop yields. However, little is known about the combined data aggregation effect of climate (DAE) and soil (DAE) on irrigation water requirement (IWR) in cool-temperate and spatially heterogeneous environments.
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