Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin
Table 5
The PCC 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
0.63
0.62
0.58
0.61
0.60
0.60
0.58
0.54
0.62
0.57
0.57
0.59
0.41
0.68
AC1.3
0.59
0.59
0.54
0.58
0.51
0.54
0.49
0.51
0.53
0.54
0.51
0.59
0.42
0.62
GG
0.58
0.54
0.48
0.51
0.44
0.44
0.35
0.35
0.46
0.41
0.36
0.39
0.27
0.50
GH
0.63
0.64
0.56
0.65
0.56
0.59
0.46
0.49
0.59
0.54
0.47
0.54
0.41
0.67
GM
0.66
0.64
0.56
0.58
0.46
0.47
0.40
0.41
0.49
0.48
0.43
0.44
0.28
0.57
GR
0.62
0.63
0.55
0.61
0.53
0.56
0.45
0.48
0.55
0.49
0.45
0.51
0.43
0.64
IN
0.50
0.51
0.45
0.51
0.47
0.47
0.46
0.47
0.46
0.45
0.44
0.51
0.34
0.54
Nor
0.64
0.63
0.59
0.59
0.53
0.55
0.47
0.47
0.57
0.52
0.47
0.47
0.35
0.62
MME
0.75
0.74
0.67
0.73
0.67
0.68
0.61
0.62
0.67
0.65
0.61
0.66
0.48
0.76
BMA
0.74
0.73
0.66
0.72
0.66
0.64
0.61
0.61
0.67
0.63
0.60
0.66
0.47
0.74
Numbers 1–13 represent the meteorological stations. “Mean” denotes the region mean.
