ABSTRACT:The performance of a hydrological model is usually assessed first by visual inspection of the measured and computed hydrographs. Numerous statistical criteria are available for numerical evaluations of model accuracy in each single year, in a particular season of the year, or in a sequence of years or seasons. In the last case, the problem of computing the overall result has to be considered. If too many criteria are used and the criteria are switched frequently, an assessment of a model's performance becomes difficult for a potential user. Therefore, this paper concentrates on just three criteria and their combined evaluation: The Nash‐Sutcliffe coefficient, which compares the model computed discharge with the average measured discharge; the “coefficient of gain from daily means” in which a uniform average discharge is replaced by daily average discharges; and the volumetric difference between the total measured and computed runoff. The three criteria are combined in a three dimensional representation that allows intercomparisons of model performance in a single di
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机译：摘要：水文模型的性能通常首先通过目视检查测量和计算的水文线来评估。有许多统计标准可用于对每年、一年中的特定季节或一系列年份或季节的模型准确性进行数值评估。在最后一种情况下，必须考虑计算整体结果的问题。如果使用了太多的标准，并且标准频繁切换，则潜在用户很难评估模型的性能。因此，本文仅关注三个标准及其综合评估：纳什-萨特克利夫系数，将模型计算的排放量与平均测量的排放量进行比较;“每日平均排放量的增益系数”，其中均匀的平均排放量被日平均排放量取代;以及总测量径流量和计算径流量之间的体积差。这三个标准以三维表示形式组合在一起，允许在单个 di 中对模型性能进行相互比较
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