Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5741–5758, 2018
Hydrol. Earth Syst. Sci., 22, 5741–5758, 2018

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 et al.

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Cited articles

Alley, W. M., Evenson, E. J., Barber, N. L., Bruce, B. W., Dennehy, K. F., Freeman, M. C., Freeman, W. O., Fischer, J. M., Hughes, W. B., Kennen, J. G., Kiang, J. E., Maloney, K. O., Musgrove, M., Ralston, B., Tessler, S., and Verdin, J. P.: Progress toward establishing a national assessment of water availability and use, Circular 1384, US Geological Survey, Reston, Virginia, available at: (last access: 5 November 2018), 2013. a
Archfield, S. A., Vogel, R. M., Steeves, P. A., Brandt, S. L., Weiskel, P. K., and Garabedian, S. P.: The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts, Scientific Investigations Report 2009-5227, US Geological Survey, Reston, Virginia, available at: (last access: 5 November 2018), 2010. a, b
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,, 2013. a, b
Blum, A. G., Archfield, S. A., and Vogel, R. M.: On the probability distribution of daily streamflow in the United States, Hydrol. Earth Syst. Sci., 21, 3093–3103,, 2017. a
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
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.