Publication: How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications
How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications
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McMillan, H., Seibert, J., Petersen-Overleir, A., Lang, M., White, P., Snelder, T., Rutherford, K., Krueger, T., Mason, R., & Kiang, J. (2017). How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications. Water Resources Research, 53, 5220–5228. https://doi.org/10.1002/2016WR020328
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Streamflow data are used for important environmental and economic decisions, such asspecifying and regulating minimum flows, managing water supplies, and planning for flood hazards.Despite significant uncertainty in most flow data, the flow series for these applications are oftencommunicated and used without uncertainty information. In this commentary, we argue that properanalysis of uncertainty in river flow data can reduce costs and promote robust conclusions in watermanagement applications. We substantiate our argument by providing case s
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McMillan, H., Seibert, J., Petersen-Overleir, A., Lang, M., White, P., Snelder, T., Rutherford, K., Krueger, T., Mason, R., & Kiang, J. (2017). How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications. Water Resources Research, 53, 5220–5228. https://doi.org/10.1002/2016WR020328