---------------------------------------------------------------------------------------------------- 12134500 ---------------------------------------------------------------------------------------------------- Calculated stats for period: 2012-10-01 00:00:00 to 2015-09-30 00:00:00 Correlation Coefficient = 0.59 Corr. Coeff. (1/q) = 0.64 Corr. Coeff. (natlog) = 0.69 RMSE = 2883.7 Nash-Sutcliffe Effc = 0.49 N.S. Effc natlog flows = 0.47 NSE (1/q) = -2.20 Abs Avg Peak Diff = 2378.9 RMSE/Obs Mean = 0.70 MSE/Obs Var = 0.51 Number of Sign Changes = 162.0 Obs Sim Sim/Obs Avg Flow 4125.3 3657.2 0.89 Std Dev 4028.8 4265.4 1.06 ---------------------------------------------------------------------------------------------------- 12145500 ---------------------------------------------------------------------------------------------------- Calculated stats for period: 2012-10-01 00:00:00 to 2015-09-30 00:00:00 Correlation Coefficient = 0.67 Corr. Coeff. (1/q) = 0.80 Corr. Coeff. (natlog) = 0.86 RMSE = 100.4 Nash-Sutcliffe Effc = 0.66 N.S. Effc natlog flows = 0.76 NSE (1/q) = -0.34 Abs Avg Peak Diff = 134.2 RMSE/Obs Mean = 0.72 MSE/Obs Var = 0.34 Number of Sign Changes = 132.0 Obs Sim Sim/Obs Avg Flow 139.4 120.9 0.87 Std Dev 171.9 144.5 0.84 ---------------------------------------------------------------------------------------------------- 12147500 ---------------------------------------------------------------------------------------------------- Calculated stats for period: 2012-10-01 00:00:00 to 2015-09-30 00:00:00 Correlation Coefficient = 0.53 Corr. Coeff. (1/q) = 0.80 Corr. Coeff. (natlog) = 0.73 RMSE = 325.1 Nash-Sutcliffe Effc = 0.26 N.S. Effc natlog flows = 0.07 NSE (1/q) = -4.48 Abs Avg Peak Diff = 83.8 RMSE/Obs Mean = 0.86 MSE/Obs Var = 0.74 Number of Sign Changes = 170.0 Obs Sim Sim/Obs Avg Flow 376.4 283.2 0.75 Std Dev 379.0 449.2 1.19 ---------------------------------------------------------------------------------------------------- 12149000 ---------------------------------------------------------------------------------------------------- Calculated stats for period: 2012-10-01 00:00:00 to 2015-09-30 00:00:00 Correlation Coefficient = 0.67 Corr. Coeff. (1/q) = 0.69 Corr. Coeff. (natlog) = 0.77 RMSE = 1974.8 Nash-Sutcliffe Effc = 0.62 N.S. Effc natlog flows = 0.57 NSE (1/q) = -1.75 Abs Avg Peak Diff = 1777.2 RMSE/Obs Mean = 0.54 MSE/Obs Var = 0.38 Number of Sign Changes = 120.0 Obs Sim Sim/Obs Avg Flow 3686.0 3362.1 0.91 Std Dev 3195.3 3231.4 1.01 ---------------------------------------------------------------------------------------------------- 12150800 ---------------------------------------------------------------------------------------------------- Calculated stats for period: 2012-10-01 00:00:00 to 2015-09-30 00:00:00 Correlation Coefficient = 0.72 Corr. Coeff. (1/q) = 0.74 Corr. Coeff. (natlog) = 0.81 RMSE = 4464.3 Nash-Sutcliffe Effc = 0.66 N.S. Effc natlog flows = 0.61 NSE (1/q) = -2.31 Abs Avg Peak Diff = 1325.2 RMSE/Obs Mean = 0.46 MSE/Obs Var = 0.34 Number of Sign Changes = 104.0 Obs Sim Sim/Obs Avg Flow 9674.6 8789.4 0.91 Std Dev 7634.0 8137.1 1.07 ---------------------------------------------------------------------------------------------------- 12155300 ---------------------------------------------------------------------------------------------------- Calculated stats for period: 2012-10-01 00:00:00 to 2015-09-30 00:00:00 Correlation Coefficient = 0.47 Corr. Coeff. (1/q) = 0.83 Corr. Coeff. (natlog) = 0.80 RMSE = 486.5 Nash-Sutcliffe Effc = 0.43 N.S. Effc natlog flows = 0.76 NSE (1/q) = 0.66 Abs Avg Peak Diff = 756.8 RMSE/Obs Mean = 0.87 MSE/Obs Var = 0.57 Number of Sign Changes = 196.0 Obs Sim Sim/Obs Avg Flow 557.0 443.0 0.80 Std Dev 641.9 509.9 0.79 ---------------------------------------------------------------------------------------------------- Summary ---------------------------------------------------------------------------------------------------- -0.607 -0.587 -0.488 -0.473 -0.671 -0.659 -0.761 -0.532 -0.264 -0.075 -0.666 -0.618 -0.573 -0.719 -0.658 -0.608 -0.469 -0.426 -0.760 317.134 634.3 1705.8 147