Advances in Meteorology / 2016 / Article / Tab 2 / Research Article
Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation Table 2 Comparison of calibration results among different methods. UC is uncalibrated, KLM is Kalman filter, AVG is average calibration, OPT is optimum interpolation, VAR is variational calibration, and SWI is statistical weight integration.
Method Statistic Storm event start date (yymmdd) Average 050408 050429 050609 060411 060508 060627 060705 060726 UC AE (mm) 27.35 21.38 5.79 3.97 5.73 7.52 3.58 6.72 10.26 RE (%) 70.02 44.89 23.06 13.49 14.13 26.93 11.78 37.02 30.17 Results (mm) 11.71 26.25 19.32 33.39 34.8 20.42 26.79 24.88 24.70 KLM AE (mm) 4.81 4.61 1.45 1.38 1.58 1.9 1.29 1.06 2.26 RE (%) 12.32 9.68 5.76 4.69 3.89 6.79 4.26 5.84 6.65 Results (mm) 34.25 52.24 23.67 28.04 38.95 26.05 29.08 17.1 31.17 AVG AE (mm) 4.22 5.22 1.2 2 3.14 5.2 1.17 2.03 3.02 RE (%) 10.81 10.96 4.8 6.8 7.75 18.59 3.86 11.17 9.34 Results (mm) 34.83 52.85 23.91 31.42 37.38 22.75 29.2 16.13 31.06 OPT AE (mm) 4.11 4.27 1.32 0.36 0.79 1.47 1.16 0.1 1.70 RE (%) 10.52 8.96 5.25 1.24 1.94 5.27 3.81 0.57 4.70 Results (mm) 34.95 51.9 23.79 29.06 39.74 26.47 29.21 18.05 31.65 VAR AE (mm) 4.11 4.26 1.32 0.05 0.32 1.47 1.05 0.16 1.59 RE (%) 10.53 8.94 5.27 0.18 0.78 5.27 3.47 0.88 4.42 Results (mm) 34.95 51.89 23.79 29.37 40.21 26.47 29.31 18 31.75 SWI AE (mm) 4.11 2.95 1.32 0.05 0.26 1.47 1.05 0.05 1.41 RE (%) 10.53 6.18 5.27 0.18 0.65 5.26 3.47 0.29 3.98 Results (mm) 34.95 50.58 23.79 29.37 40.26 26.47 29.32 18.1 31.61 Measured (mm) 39.06 47.63 25.11 29.42 40.53 27.94 30.37 18.16 32.28