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Cited by 245

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Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions

McMillan, Hilary, Freer, Jim, Pappenberger, Florian, Krueger, Tobias, Clark, Martyn·2010·Hydrological Processes

Abstract

In order to quantify total error affecting hydrological models and predictions, we must explicitly recognize errors in input data, model structure, model parameters and validation data. This paper tackles the last of these: errors in discharge measurements used to calibrate a rainfall‐runoff model, caused by stage–discharge rating‐curve uncertainty. This uncertainty may be due to several combined sources, including errors in stage and velocity measurements during individual gaugings, assumptions regarding a particular form of stage–discharge relationship, extrapolation of the stage–discharge relationship beyond the maximum gauging, and cross‐section change due to vegetation growth and/or bed movement. A methodology is presented to systematically assess and quantify the uncertainty in discharge measurements due to all of these sources. For a given stage measurement, a complete PDF of true discharge is estimated. Consequently, new model calibration techniques can be introduced to explicitly account for the discharge error distribution. The method is demonstrated for a gravel‐bed river in New Zealand, where all the above uncertainty sources can be identified, including significant uncertainty in cross‐section form due to scour and re‐deposition of sediment. Results show that rigorous consideration of uncertainty in flow data results in significant improvement of the model's ability to predict the observed flow. Copyright © 2010 John Wiley & Sons, Ltd.

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Metadata

Authors
McMillan, H., Freer, J., Pappenberger, F., Krueger, T., & Clark, M.
Venue
Hydrological Processes
Publisher
Wiley
Published
2010-03-02
Volume
24
Issue
10
Pages
1270-1284
ISSN
  • 0885-6087 (ISSN-L)
  • 1099-1085
OpenAlex
W2077629914
Cited by
245
References
1
FWCI
17.50
Type
journal article
Language
en
Open access
closed

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