Abstract
Abstract Two soil water models, the Versatile Soil Moisture Budget and the Aridity Index Model were used to investigate differences in modelling results as a consequence of using as input mean‐daily data, derived from historical monthly values, instead of actual daily data. Four different available water‐holding capacities, six different initial soil water contents and 30‐year precipitation and potential evapotranspiration data from 16 climate stations across Canada were used as input to the models. Using mean‐daily data as opposed to daily data resulted in model predictions that underestimated deep drainage and aridity indices and overestimated actual evapotranspiration. The differences in model output decreased when the available water‐holding capacity increased and the initial soil water content decreased. The use of mean‐daily data in the soil water models investigated is not recommended, until improved techniques that retain the characteristics of the highly variable weather conditions can be ascerta...
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