Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region
E. A. Quichimbo,
M. B. Singer,
K. Michaelides
et al.
Abstract:Precipitation is the primary driver of hydrological models, and its spatial and temporal variability have a great impact on water partitioning. However, in data‐sparse regions, uncertainty in precipitation estimates is high and the sensitivity of water partitioning to this uncertainty is unknown. This is a particular challenge in drylands (semi‐arid and arid regions) where the water balance is highly sensitive to rainfall, yet there is commonly a lack of in situ rain gauge data. To understand the impact of pre… Show more
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