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

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

doi:https://doi.org/10.5194/hess-22-5741-2018

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

Data sets

Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow-duration curves: Data release W. H. Farmer, T. M. Over, and J. E. Kiang https://doi.org/10.5066/F7VD6XNG

Model code and software

Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow-duration curves: Data release W. H. Farmer, T. M. Over, and J. E. Kiang https://doi.org/10.5066/F7VD6XNG

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.