Bias-correction schemes for calibrated flow in a conceptual hydrological model

Abstract We explore post-processing methods that can reduce biases in simulated flow a hydrological model (HYMOD). Here, three bias-correction are compared using set of calibrated parameters as baseline (Cases 1 and 5). The proposed based on duration curve (Case 2), an autoregressive residuals obtained from flows 3), rating 4). A clear seasonality representing more substantial variability winter than summer was evident all cases. extended range usually observed winter, indicating the HYMOD may not reproduce high appropriately. This study confirmed bias-corrected effective terms correcting systematic error flow. Moreover, comparison root mean square over different regimes demonstrates Case 3 is most at entire regime. Finally, monthly water balances for cases evaluated during both calibration validation periods. balance also closer to values. effects approaches performance examined discussed.