Calibration, validation, parameter indentifiability and uncertainty analysis of a 2 - parameter parsimonious monthly rainfall-runoff model in two catchments in Zimbabwe
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文摘

We applied a 2-paramaeter monthly rainfall-runoff model in two catchments.

We calibrated using a formal Bayesian DREAM algorithm in a split-test approach.

The model performed quite satisfactorily across 10 performance evaluation metrics.

Model was effectively calibrated and parameters were well identifiable.

Parameter uncertainty was low relative to total uncertainty.

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