Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 11
Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5741-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5741-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 11
Research article
 | 
08 Nov 2018
Research article |  | 08 Nov 2018

Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves

William H. Farmer, Thomas M. Over, and Julie E. Kiang

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Archfield, S. A., Steeves, P. A., Guthrie, J. D., and Ries III, K. G.: Towards a publicly available, map-based regional software tool to estimate unregulated daily streamflow at ungauged rivers, Geosci. Model Dev., 6, 101–115, https://doi.org/10.5194/gmd-6-101-2013, 2013. a, b
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Castellatin, A., Botter, G., Hughes, D., Liu, S., Ouarda, T., Parajka, J., Post, D., Sivapalan, M., Spence, C., Viglione, A., and Vogel, R.: Prediction of flow-duration curves in ungauged basins, in: Runoff Prediction in Ungauged Basins: Synthesis Across Processes, Places and Scales, edited by: Blöschl, G., Sivapalan, M., Wagener, T., Viglione, A., and Savenije, H., Cambridge Univeristy Press, Cambridge, 2013. a, b, c
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Short summary
This work observes that the result of streamflow simulation is often biased, especially with regards to extreme events, and proposes a novel technique to reduce this bias. By using parallel simulations of relative streamflow timing (sequencing) and the distribution of streamflow (magnitude), severe biases can be mitigated. Reducing this bias allows for improved utility of streamflow simulation for water resources management.
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