A simple soil water budget model is introduced and evaluated against data collected at four sites at Gourdie, near Dundee, Scotland, during 2000, using both short-term (2000-only) and long-term (1961–2011) averaged climate data. The performance of the model is compared using five different pedotransfer function sets to derive parameters for cool temperate mineral soils.

Simulated soil water values were significantly correlated with measurements for all pedotransfer functions and climate-terms. The minimum total error achieved between simulations and measurements for the best performing pedotransfer function was 19%, suggesting that predictions are accurate to within 20% of the average measurement. A low bias was observed in the simulations when compared to measured values, suggesting only a small systematic overestimate (2.8% of average measurement). Some model assumptions may have been invalidated where extreme events such as storms or anomalous dry spells were not captured in the monthly time-step led to small model errors.

引入了一个简单的土壤水预算模型，并根据短期（仅2000年）和长期（1961-2011年）的平均气候数据，对2000年在苏格兰邓迪附近Gourdie四个站点收集的数据进行了评估。使用五个不同的pedotransfer函数集比较模型的性能，以得出凉爽的温带矿物土壤的参数。

模拟的土壤水值与所有pedotransfer函数和气候条件的测量值显着相关。在模拟和测量之间为实现最佳性能的pedotransfer函数，最小总误差为19％，这表明预测准确到平均测量值的20％以内。与测量值相比，在仿真中观察到低偏差，这表明只有很小的系统性高估（平均测量值的2.8％）。如果在每月的时间步长中未捕获到极端事件（例如风暴或异常干燥符咒），则会导致某些模型假设无效，从而导致较小的模型误差。