Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : NPv5.63


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
NPv5.63 G - - - - - - - - X X Calipso Isccp X X X X Reglage 63 1982_1989 2.64 1.075 240.054 238.979 266.013 -47.1826 27.034 -20.1486 3.06236
MPv5.66aC G - - - - - - - - X X Calipso Isccp X X X X MPv5.66epro1 + coef_eva=2e-4, f_cdrag_oce=0.6, tlcrit=-40., elcrit=0.00025 1979_1979 1.9519 0.4967 243.571 243.074 265.059 -43.8492 21.985 -21.8642 3.06629
MPv5.66aCep998 G - - - - - - - - X X Calipso Isccp X X X X MPv5.66aC + epmax=0.998 1979_1979 0.6594 -0.707 237.154 237.861 265.248 -50.2302 27.387 -22.8432 2.9612
MPv5.66aCep999 G - - - - - - - - X X Calipso Isccp X X X X epmax=0.999 1979_1979 1.4086 -0.09 240.279 240.369 265.043 -47.121 24.674 -22.447 3.01841
MPv5.66aC2qsh3 G - - - - - - - - X X Calipso Isccp X X X X ratqshaut=0.3 1979_1979 2.5856 1.096 237.3 236.204 265.1 -50.1844 28.896 -21.2884 2.94001
MPv5.66aC2lc3 G - - - - - - - - X X Calipso Isccp X X X X MPv5.66aC + cld_lc_lsc/con=0.0003 1979_1979 1.7489 0.361 238.988 238.627 265.549 -48.4503 26.922 -21.5283 2.97276
MPv5.66aC2fal4 G - - - - - - - - X X Calipso Isccp X X X X MPv5.66aC + ffallv_lsc/con=0.4 1979_1979 0.8271 -0.554 234.762 235.316 265.328 -52.6967 30.012 -22.6847 2.90887
MPv5.66aC2eva1 G - - - - - - - - X X Calipso Isccp X X X X MPv5.66aC + coef_eva=1e-4 1979_1979 1.7327 0.242 238.319 238.077 265.339 -49.1222 27.262 -21.8602 2.97495
MPv5.66aC2cd55 G - - - - - - - - X X Calipso Isccp X X X X MPv5.66aC + f_cdrag_oce=0.55 1979_1979 1.3945 -0.21 237.535 237.745 265.166 -49.8836 27.421 -22.4626 2.9045
MPv5.66aC2iqs2 G - - - - - - - - X X Calipso Isccp X X X X MPv5.66aC + iflag_ratqs=2 1979_1979 2.6298 1.192 238.997 237.805 265.52 -48.5342 27.715 -20.8192 2.97184

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 NPv5.63_1982_1989

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model