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Finding process-behavioural parameterisations of a hydrological model using a multi-step process-based calibration and evaluation scheme

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This approach validates discharge and soil parameterizations in hydrological modeling, indicating improved water balance accuracy.

The calibration resulted in strong model efficiency scores with an NSE of 0.87 and a KGE of 0.89 during the calibrated period.
Groundwater behaviors and runoff patterns were accurately depicted, ensuring reliability in hydrological predictions.
The new method filters out inappropriate pedotransfer functions, enhancing the model's applicability across various conditions.
After calibration, the model demonstrated good predictive capabilities with NSE and KGE scores improving for validation.

Heuer et al. (2025) studied this question.

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