Test: ne120 CNTL
Reference: Observation and Reanalysis

MAM Mean

VariablesUnitTest_meanRef._meanMean_BiasTest_STDRef._STDRMSECorrelation
PRECT global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahmm/day3.1743.090.0842.4862.3330.9570.924
TREFHT land_60S90N E3SM_01302019_master.cntl.001f.ne30_ne30.syrahDegC11.18412.701-1.51712.51712.8442.1540.987
SWCF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-39.883-42.5842.70122.09123.3936.9250.962
LWCF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m220.82223.137-2.31510.31611.4964.4730.944
RESTOM global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m21.2652.948-1.68371.96471.335.1250.998
FLUT global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2244.07240.4573.61334.05433.7945.8340.991
FLUTC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2264.892263.5951.29731.64131.8742.220.998
FSNTOA global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2245.198243.2741.92499.30998.026.9540.998
FSNTOAC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2285.081285.858-0.777100.934100.8023.7010.999
NETCF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-19.06-19.4460.38616.57317.4274.660.964
ALBEDO_SRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahdimensionless0.1550.1530.0010.20.1990.0170.996
SWCFSRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-42.858-45.6222.76524.13925.4937.3510.964
LWCFSRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m225.71926.731-1.01118.91119.4843.1690.988
NETCF_SRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-17.138-18.8921.75323.28824.6315.560.977
FLDS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2340.685341.96-1.27565.36865.3175.3350.997
FLDSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2314.323314.565-0.24278.41378.3423.9630.999
FLNS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m256.91155.6941.21820.20621.0694.3530.98
FLNSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m282.6382.4240.20615.28715.8732.960.983
FSDS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2192.754190.8391.91577.17476.9268.6820.994
FSDSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2242.186243.233-1.04772.75973.2893.6960.999
FSNS global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2167.98166.5711.40977.92977.1427.8660.995
FSNSC global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2210.838212.193-1.35579.47279.3634.7740.998
LHFLX global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m292.1989.82.38955.15655.36910.3230.983
SHFLX global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m218.36618.898-0.53218.74518.6744.9940.965
PSL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahmbar1010.9361011.239-0.3039.69310.2332.3430.974
NET_FLUX_SRF global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahW/m2-0.5291.171-1.750.24749.94314.1690.961
TMQ global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahkg/m222.8923.518-0.62813.81313.9741.270.997
TAUXY ocean E3SM_01302019_master.cntl.001f.ne30_ne30.syrahN/m^20.0710.076-0.0050.0610.0610.0210.939
CLDTOT_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%54.88956.429-1.5421.98422.4685.2510.975
CLDLOW_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%30.98831.466-0.47822.37123.2694.5990.981
CLDMED_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%13.54213.973-0.43112.47913.0812.8130.977
CLDHGH_CAL global E3SM_01302019_master.cntl.001f.ne30_ne30.syrah%27.24828.1-0.85212.25412.6544.6890.932
TREFHT land E3SM_01302019_master.cntl.001f.ne30_ne30.syrahDegC7.1167.828-0.71218.35219.9852.360.994
TREFHT global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahDegC14.17914.120.05914.71514.9650.8260.999
PminusE global E3SM_01302019_master.cntl.001f.ne30_ne30.syrahmm/day-0.012-0.0130.0012.6982.5760.9680.934