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. Hydrological models can be used to assess the impact ofhydrologic alteration on the river ecosystem. However, there areconsiderable limitations and uncertainties associated with the replicationof ecologically relevant hydrological indicators. Vogel andSankarasubramanian's 2003 (Water Resources Research) covariance approach tomodel evaluation and parameterization represents a shift away fromalgorithmic model calibration with traditional performance measures(objective functions). Using the covariance structures of the observed inputand simulated output time series, it is possible to assess whether theselected hydrological model is able to capture the relevant underlyingprocesses. From this plausible parameter space, the region of parameterspace which best captures (replicates) the characteristics of a hydrologicalindicator may be identified. In this study, a modified covariance approachis applied to five hydrologically diverse case study catchments with a viewto replicating a suite of ecologically relevant hydrological indicatorsidentified through catchment-specific hydroecological models. Theidentification of the plausible parameter space (here n≈20 ) isbased on the statistical importance of these indicators. Evaluation is withrespect to performance and consistency across each catchment, parameter set,and the 40 ecologically relevant hydrological indicators considered. Timingand rate of change indicators are the best and worst replicatedrespectively. Relative to previous studies, an overall improvement inconsistency is observed. This study represents an important advancementtowards the robust application of hydrological models for ecological flowstudies.

Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization