The sensitivities of NRMSEs to uncertain parameters were then assessed through the Monte Carlo filtering method. For each indicator (i.e., SNH, SP, VSS, XPG, and XTAG), Monte Carlo simulation samples were divided into two groups by the 0.25 quantile (𝑞) of the NRMSE values (the lower 25% as "desirable" group and the higher 75% as "undesirable" group), and Kolmogorov-Smirnov (KS) tests were conducted to decide if the two samples were significantly different from each other. When the maximum vertical distance (𝐷) between the cumulative distribution functions (CDFs) of two samples is greater than 0.1 and 𝑝-value is less than 0.05, the parameter was determined to be sensitive.