Articles | Volume 28, issue 19
https://doi.org/10.5194/hess-28-4383-2024
https://doi.org/10.5194/hess-28-4383-2024
Research article
 | 
01 Oct 2024
Research article |  | 01 Oct 2024

Exploring the provenance of information across Canadian hydrometric stations: implications for discharge estimation and uncertainty quantification

Shervan Gharari, Paul H. Whitfield, Alain Pietroniro, Jim Freer, Hongli Liu, and Martyn P. Clark

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Cited articles

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Arsenault, R., Brissette, F., Martel, J.-L., Troin, M., Lévesque, G., Davidson-Chaput, J., Gonzalez, M. C., Ameli, A., and Poulin, A.: A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds, Sci. Data, 7, 243, https://doi.org/10.1038/s41597-020-00583-2, 2020. a
Clarke, R. T.: Uncertainty in the estimation of mean annual flood due to rating-curve indefinition, J. Hydrol., 222, 185–190, https://doi.org/10.1016/S0022-1694(99)00097-9, 1999. a
Cohn, T. A., Kiang, J. E., and Mason, R. R.: Estimating Discharge Measurement Uncertainty Using the Interpolated Variance Estimator, J. Hydraul. Eng., 139, 502–510, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000695, 2013. a
Cornes, R. C., van der Schrier, G., van den Besselaar, E. J. M., and Jones, P. D.: An Ensemble Version of the E-OBS Temperature and Precipitation Data Sets, J. Geophys. Res.-Atmos., 123, 9391–9409, https://doi.org/10.1029/2017JD028200, 2018. a
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Short summary
This study provides insight into the practices that are incorporated into discharge estimation across the national Canadian hydrometric network operated by the Water Survey of Canada (WSC). The procedures used to estimate and correct discharge values are not always understood by end-users. Factors such as ice cover and sedimentation limit accurate discharge estimation. Highlighting these challenges sheds light on difficulties in discharge estimation and the associated uncertainty.
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