Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CL4.CWRRc.3525.L2488m

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Zonal mean Dynamical regime Cloud Fraction Diurnal Cycle Scatter Plots Outputs Model Parameters Tested Parameter Period bils rt rst rlut rlutcs crest crelt cret eva pr prw
CLIMATOS 7.097 0.7823 240.4 239.6 269.4 -47.05 29.84 -17.21 3.415 2.61 27.46
CL4.CWRRc.3525.L2488m G - - G - - G - - X X Calipso Isccp X X X X V5.67 libre 1981_1990 5.4396 3.704 236.507 232.803 265.873 -49.9264 33.07 -16.8564 2.7487
CL4.CWRRcSu.3525.L2488m G - - G - - G - - X X Calipso Isccp X X X X V5.67 libre, surf Su 1981_1990 5.1176 3.274 236.372 233.098 266.654 -50.0575 33.556 -16.5015 2.75862
CL5.CWRRc.3525.L2488m G - - G - - G - - X X Calipso Isccp X X X X V5.67 guidee 1981_1990 4.0101 2.74 241.331 238.591 266.677 -45.0693 28.086 -16.9833 2.87666
CL5.CWRRcSu.3525.L2488m G - - G - - G - - X X Calipso Isccp X X X X V5.67 guidee, surf Su 1981_1990 3.3655 2.113 241.244 239.131 267.391 -45.2096 28.26 -16.9496 2.89713

Metrics computation

RMSE (Root Mean Square Error) between models and reference datasets (observations or reanalyses depending on the variable; identified at the top of the columns). The RMSE are computed on a 12-month climatological annual cycle (spatio-temporal variability + mean); they mix the information on the spatio-temporal correlation and standard-deviation ratio, as well as the mean bias. The results are shown in % of the average RMSE obtained for the set of simulations chosen as reference. A result of -10 indicates that this error is 10% lower than the average of the errors of the reference simulations.  Basically these metrics provide an overall view on whether the simulations are closer to or further of a set of reference simulations (say, the AMIP simulations, an AR4 simulation...)

Metrics with respect to CL4.CWRRc.3525.L2488m_1981_1990

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model