Advances in Meteorology / 2016 / Article / Tab 2 / Research Article
Comparison of Three Statistical Downscaling Methods and Ensemble Downscaling Method Based on Bayesian Model Averaging in Upper Hanjiang River Basin, China Table 2 Results of three statistical downscaling methods (calibration and validation).
Statistical indicators Season Calibration Validation Observation SVM BCC/RCG-WG SDSM Observation SVM BCC/RCG-WG SDSM Mean/mm Spring 2.30 2.17 2.04 2.12 1.76 1.61 1.54 1.83 Summer 4.33 4.41 4.19 4.37 4.03 4.06 3.75 4.19 Autumn 2.95 2.78 2.70 2.83 2.01 2.12 1.83 2.05 Winter 0.37 0.42 0.46 0.39 0.41 0.45 0.51 0.43 Annual 2.49 2.46 2.23 2.38 2.06 2.27 2.32 2.15 P_95q/mm Spring 22.96 18.72 17.48 20.92 22.85 18.22 17.71 18.91 Summer 41.98 35.51 30.84 36.2 41.25 31.56 30.69 34.69 Autumn 26.98 25.41 20.56 23.96 24.88 22.28 20.3 21.14 Winter 7.58 5.74 4.97 6.13 7.71 5.47 4.88 5.53 Annual 28.51 23.99 20.93 25.65 28.85 23.06 21.13 23.83 P_M5/mm Spring 114.16 122.68 111.79 126.21 98.83 93.37 90.92 99.56 Summer 233.99 190.81 165.14 207.7 213.71 181.54 180.13 181.07 Autumn 171.39 178.52 134.62 155.47 126.44 123.59 109.81 124.24 Winter 36.09 32.14 28.98 31.32 33.15 23.86 24.09 22.9 Annual 236.46 216.87 171.33 213.85 214.35 186.23 186.82 185.66 CDD/d Spring 23 20 18 19 20 21 15 24 Summer 19 17 13 18 23 24 11 20 Autumn 25 23 23 22 26 29 17 26 Winter 49 37 33 38 54 50 25 40 Annual 47 36 31 36 53 41 26 38 CWD/d Spring 10 11 15 11 9 8 15 8 Summer 12 11 17 13 11 9 18 10 Autumn 17 16 19 17 15 12 20 10 Winter 10 9 14 7 7 6 13 6 Annual 17 19 20 18 15 13 23 11 R90t/% Spring 39 36 44 37 36 40 44 38 Summer 63 59 65 60 64 61 66 62 Autumn 46 47 51 44 42 39 51 43 Winter 6 7 5 4 5 4 5 3 Annual 51 52 54 48 50 50 54 50