ABSTRACT Calibration of hydrological models is challenging in high-latitude regions where hydrometric data are minimal. Process-based models are needed to predict future changes in water supply, yet often with high amounts of uncertainty, in part, from poor calibrations. We demonstrate the utility of stable isotopes (18O, 2H) as data employed for improving the amount and type of information available for model calibration using the isoWATFLOODTM model. We show that additional information added to calibration does not hurt model performance and can improve simulation of water volume. Isotope-enabled calibration improves long-term validation over traditional flow-only calibrated models and offers additional feedback on internal flowpaths and hydrological storages that can be useful for informing internal water distribution and model parameterization. The inclusion of isotope data in model calibration reduces the number of realistic parameter combinations, resulting in more constrained model parameter ranges and improved long-term simulation of large-scale water balance.

中文翻译：

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同位素赋能水文模型标定的价值

摘要 在水文测量数据最少的高纬度地区，水文模型的校准具有挑战性。需要基于过程的模型来预测供水的未来变化，但通常具有很大的不确定性，部分原因是校准不当。我们展示了稳定同位素 (18O, 2H) 作为数据的效用，这些数据用于改进可用于使用 isoWATFLOODTM 模型进行模型校准的信息的​​数量和类型。我们表明，添加到校准中的附加信息不会损害模型性能，并且可以改进水量模拟。启用同位素的校准改进了对传统仅流动校准模型的长期验证，并提供有关内部流路和水文存储的额外反馈，可用于通知内部水分布和模型参数化。