 Climate models produce data with inherent biases which can affect hydrological simulations if not properly accounted for. Statistical bias correction methods attempt to correct these biases but are limited in their effectiveness due to the timescale of the fluctuations they consider. A cascade bias correction method has been proposed which addresses this issue by considering multiple timescales simultaneously. This methodology has been shown to reduce the negative impacts of bias correction on longer timescales making it more suitable for use in hydrologic applications. This article was authored by J. O. Herter, S. Hageman, C. Mosley, and others.