“…However, these studies have typically been limited to (1) empirical/conceptual models (He et al, 2011a, b;Raleigh and Lundquist, 2012;Shamir and Georgakakos, 2006;Slater and Clark, 2006), (2) errors for a subset of forcings (e.g., precipitation or temperature only) (Burles and Boon, 2011;Dadic et al, 2013;Durand and Margulis, 2008;Lapo et al, 2015;Xia et al, 2005), (3) model sensitivity to choice of forcing parameterization (e.g., longwave) without considering uncertainty in parameterization inputs (e.g., temperature and humidity) (Guan et al, 2013), and (4) simple representations of forcing errors (e.g., Kavetski et al, 2006a, b). The last is evident in studies that only consider single types of forcing errors (e.g., bias) and single distributions (e.g., uniform) and examines errors separately (Burles and Boon, 2011;Koivusalo and Heikinheimo, 1999;Raleigh and Lundquist, 2012;Xia et al, 2005).…”