Performance of NCEPNCAR reanalysis variables in statistical downscaling of daily precipitation

By Tereza Cavazos, B. Hewitson. 2005

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Comparison of transfer functions in statistical downscaling models for daily temperature and precipitation over Canada (2012, background): “…for downscaling because they can derive robust non-linear relationships between predictors and predictands (Hewitson and Crane 1996; Wilby et al. 1998b; Trigo and Palutikof 1999; Mpelasoka et al. 2001; Cavazos and Hewitson 2005; Miksovsky and Raidl 2005; Tolika et al. 2007, Huth et al. 2008).”
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance (2005, background): “Inconsistency is also apparent among the comparable MAEs and RMSEs more recently reported by Cavazos & Hewitson (2005).”
Multisite multivariate modeling of daily precipitation and temperature in the Canadian Prairie Provinces using generalized linear models (2016, methodology): “Therefore, following Chandler (2005), the method used here includes a two-stage approach whereby separate mean and variance components are developed within a normal-heteroscedastic framework in which the mean (μst) and variance (σ 2) of Yst depend on possibly different covariate vectors.”