the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Martyn P. Clark
Abstract. Accurate discharge values play a critical role in water resource planning and management. However, it is common for users, modelers, and decision-makers to consider these values as true and deterministic, despite the subjective and uncertain nature of the estimation process. To address the issue, this study was conducted to identify the discharge estimation methods and associated uncertainties of hydrometric measurements in Canada. The study involved an exploration of multiple operating procedures for rating curve construction and discharge estimation across 1800 active Water Survey of Canada (WSC) hydrometric stations using an independent workflow. The first step involved understanding the discharge estimation process used by the WSC and the standard operating procedures (SOP) for inferring discharge from stage measurements. During the implementation of the workflow, it was observed that manual intervention and interpretation by hydrographers were required for time-series sequences labeled as "override" and/or "temporary shift". The workflow demonstrated that 67 % of existing records could be adequately recreated following the rating curve and temporary shift concept, while 33 % followed the other discharge estimation methods (override). Novel methods for discharge uncertainty estimation should be sought given the practices of override and temporary shift by the WSC. This study attempts to reconcile the significant issue of estimating uncertainty in published discharge values, particularly in the context of open science and Earth System modeling. By collaborating with the WSC, this research aims to improve the understanding of the processes used for discharge estimation and promote wider access to metadata and measurements for more accurate uncertainty quantification.
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Shervan Gharari et al.
Status: open (until 02 Nov 2023)
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AC1: 'Visualization of rating curve temporary shift', Shervan Gharari, 22 Aug 2023
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A visualization to better illustrate the rating curve temporary shift and further help the discussion is available following the link:
https://youtu.be/XvEgm9RZCck
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Citation: https://doi.org/10.5194/hess-2023-150-AC1
Shervan Gharari et al.
Shervan Gharari et al.
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