Test: ne120 CNTL
Reference: Observation and Reanalysis

JJA Mean

VariablesUnitTest_meanRef._meanMean_BiasTest_STDRef._STDRMSECorrelation
PRECT global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahmm/day3.2383.1360.1023.1452.8741.3160.909
TREFHT land_60S90N E3SM_01302019_master.cntl.001f.ne30_ne30.syrahDegC17.5919.75-2.169.2467.7742.2740.963
SWCF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-40.666-43.953.28429.32631.1018.9440.964
LWCF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m220.45823.123-2.66512.53114.2525.7110.937
RESTOM global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-7.085-5.363-1.72289.53289.0566.2780.998
FLUT global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2248.472244.3344.13735.42436.0797.3930.985
FLUTC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2268.929267.4571.47231.18531.9422.8290.997
FSNTOA global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2241.25238.842.41113.616112.3278.6640.997
FSNTOAC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2281.917282.79-0.874123.818123.9424.020.999
NETCF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-20.208-20.8270.61926.76427.7515.890.978
ALBEDO_SRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahdimensionless0.1450.1420.0020.180.180.0250.991
SWCFSRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-43.49-46.6313.14132.51534.099.3030.967
LWCFSRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m225.00325.719-0.71618.98919.3183.5910.983
NETCF_SRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-18.487-20.9122.42533.30235.1287.4410.98
FLDS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2350.269350.915-0.64661.21361.8316.2640.995
FLDSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2324.773324.70.07473.08872.9864.7390.998
FLNS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m256.58955.7820.80622.7123.5914.9320.979
FLNSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m281.59281.5020.0917.64118.3693.660.98
FSDS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2183.062180.9612.10190.53290.50311.3620.992
FSDSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2232.108233.256-1.148100.07100.75.1170.999
FSNS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2162.856161.3121.54483.04682.30910.0530.993
FSNSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2206.346207.944-1.59892.94293.1895.8240.998
LHFLX global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m293.94291.0162.92559.23558.99311.7230.982
SHFLX global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m219.88720.236-0.34921.89921.7825.490.969
PSL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahmbar1010.7451011.021-0.2769.80111.1682.4680.981
NET_FLUX_SRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-8.323-6.469-1.85484.88984.615.5950.983
TMQ global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahkg/m224.58725.193-0.60613.29413.5131.6130.994
TAUXY ocean E3SM_01302019_master.cntl.001f.ne30_ne30.syrahN/m^20.0760.082-0.0070.0570.0650.0260.914
CLDTOT_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%54.75955.999-1.2423.63224.226.6190.963
CLDLOW_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%32.0231.8680.15223.92224.2875.440.975
CLDMED_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%12.02212.546-0.52411.19611.9552.9890.97
CLDHGH_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%26.90927.877-0.96815.73216.6485.860.938
TREFHT land E3SM_01302019_master.cntl.001f.ne30_ne30.syrahDegC12.63413.8-1.16618.88720.4162.6150.993
TREFHT global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahDegC16.02415.9320.09214.09214.4491.0430.998
PminusE global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahmm/day-0.009-0.010.0013.3213.0881.3160.918