Advances in Meteorology / 2018 / Article / Tab 3

Research Article

An Assessment of GCM Performance at a Regional Scale Using a Score-Based Method

Table 3

Model performances for precipitation.

GCMsGCM numberMean Value (mm/y)StDevNRMSEMonthly corr.Spatial corr.M-KEOFPDFTotal RS
ZcSlope (mm/10 a)EOF1EOF2BSSscore

obs0568.261.5−0.86−11.7671.728.69
access1-01775.062.30.720.950.82−0.34−2.6353.2117.700.0391.2213.22
bcc-csm12955. 367.51.000.920.610.122.6561.3114.080.0690.1327.21
bnu-esm31,255.983.41.500.940.450.121.7860.5616.000.1081.3048.52
canesm24914.375.51.040.850.721.4621.4849.7921.160.0480.2439.59
ccsm45891.065.60.920.930.70−1.10−13.4360.8913.030.0381.2618.98
cesm1-bgc6888.250.70.900.930.70−2.30−19.4558.8213.270.0381.7523.99
cnrm-cm57703.671.80.650.960.801.2114.6655.5716.660.0381.8519.68
giss-e2-h8802.277.50.800.910.570.232.0464.4915.180.0493.2426.15
csiro-mk3.69650.651.70.540.980.751.0810.4562.3010.640.0189.6412.24
fgoals-g210881.060.31.010.780.81−0.59−6.1146.9925.290.0684.1830.79
gfdl-cm311879.765.720.880.920.52−1.13−16.5757.9719.900.0585.4527.14
hadgem212725.464.310.700.910.761.169.0749.5118.780.0282.2221.85
inm-cm413923.562.610.900.950.681.3013.3062.1913.170.0589.4623.00
noresm1-m141,035.765.131.120.940.54−0.80−5.9370.2010.140.0474.4826.06
miroc-esm15898.368.811.040.830.57−0.18−1.7865.6813.810.0376.6130.46
mpi-esm-lr16887.863.130.950.890.660.453.9855.3818.050.0489.2727.01
ipsl-cm5b-lr17674.166.000.710.900.712.3922.5049.9714.250.0273.8127.14
mri-cgcm318456.133.580.720.930.76−0.15−1.3848.2119.470.0161.2828.21

EOFs 1 and 2 are percentages of the explained variance for the first two leading modes of each EOF; PDF is the probability density function.

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