Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin
Table 7
The Rbias between the monthly observed precipitation and the simulation performance of individual GCMs, MME, and BMA simulation in the period of 1961–2005 (%).
Station
Model
1
2
3
4
5
6
7
8
9
10
11
12
13
Mean
AC1.0
34.03
33.31
42.76
30.24
49.45
46.20
28.88
23.62
34.40
56.97
42.00
50.45
46.71
39.63
AC1.3
30.17
33.33
40.93
25.25
40.93
39.33
25.37
21.99
28.56
54.66
36.84
50.45
47.93
36.40
GG
131.02
119.93
115.68
84.88
90.05
74.89
42.10
33.01
78.04
66.97
58.04
44.20
35.51
74.44
GM
128.46
129.44
125.40
81.10
53.77
50.09
27.68
23.07
66.20
46.00
34.26
38.91
40.09
65.04
GH
137.33
130.21
129.51
98.52
105.41
93.27
58.51
48.47
93.32
88.91
76.54
65.89
55.71
90.41
GR
124.50
140.22
140.15
95.72
57.81
58.18
25.26
15.75
77.82
54.96
35.66
40.22
37.57
69.77
IN
29.09
19.55
11.00
3.58
41.56
26.07
29.25
28.39
6.98
31.34
35.71
41.93
46.35
26.44
Nor
126.37
118.09
107.33
85.36
125.58
101.99
84.41
76.12
83.56
97.08
99.82
88.49
81.54
97.30
MME
92.62
90.51
89.10
63.08
70.57
61.25
40.18
33.80
58.61
62.11
52.36
52.57
48.93
62.43
BMA
−7.13
−12.14
−9.26
−6.23
−7.52
−7.66
2.92
−3.10
−1.24
−2.55
−0.17
−1.58
−0.65
−4.32
Numbers 1–13 represent the meteorological stations. “Mean” denotes the region mean.
