Advances in Meteorology / 2018 / Article / Tab 2

Research Article

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

Table 2

Model performances for monthly mean temperature.

GCMsGCM numberMean value (°C)StDevNRMSEMonthly corr.Spatial corr.M-KEOFPDFTotal RS
ZcSlope (°C/10 a)EOF1EOF2BSSscore

obs8.490.534.810.3798.900.51
access1-016.810.470.230.9990.953.640.2897.460.740.00689.2216.89
bcc-csm125.670.380.330.9990.954.400.2397.661.190.01180.8433.22
bnu-esm36.630.620.270.9970.943.690.3698.260.640.00591.5017.68
canesm247.770.510.180.9980.935.380.3597.661.150.00291.1917.99
ccsm456.650.540.270.9990.962.980.2798.400.630.00689.1613.73
cesm1-bgc66.790.450.250.9980.962.550.2098.430.720.00591.1316.04
cnrm-cm575.070.460.410.9960.951.380.1098.030.760.01183.7831.09
giss-e2-h87.120.420.250.9950.94−0.10−0.0197.950.990.00683.4832.58
csiro-mk3.696.760.420.260.9970.933.690.2598.520.680.00688.9222.95
fgoals-g2107.490.580.190.9960.954.590.4497.731.190.00486.0617.73
gfdl-cm3115.330.610.360.9960.972.960.2797.740.940.01277.2126.83
hadgem2127.200.550.260.9990.963.170.2397.840.640.00585.4514.78
inm-cm4133.900.470.530.9980.931.130.0996.991.080.01778.2149.67
noresm1-m145.580.470.350.9980.954.240.3198.350.750.01183.6523.11
miroc-esm157.330.290.220.9970.952.600.1397.801.230.00490.7929.35
mpi-esm-lr168.090.360.160.9990.962.900.1998.060.930.00191.0115.53
ipsl-cm5b-lr173.620.470.550.9970.932.170.1598.470.590.01972.6742.89
Mri-cgcm3186.260.410.320.9970.962.030.1398.630.550.07985.9021.19

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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