Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : V5.70a

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- Cloud Fraction 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
NPv5.70a - - - - - - - - - Calipso Isccp X X Run force de l'ete, V5.70a 1980_1989 2.8107 1.635 240.654 239.019 265.205 -45.5916 26.186 -19.4056 3.01581 24.6266
CTHV3.T6p15 - - - - - - - - - X X X T6p15REF, iflag_cloudth_vert=3 (autumn cloudth) 1987_1987 6.2874 5.091 241.331 236.24 262.028 -45.9914 25.788 -20.2034 2.98279 24.7628
CLC04.CTHV3 - - - - - - - - - X X X CTHV3, cld_lc=0.4g/kg 1987_1987 3.7271 2.684 237.093 234.409 261.637 -50.1267 27.228 -22.8987 2.94463 24.823
CLC05.CTHV3 - - - - - - - - - X X X CTHV3, cld_lc=0.5g/kg 1987_1987 2.628 1.542 235.637 234.095 261.78 -51.5324 27.685 -23.8474 2.93628 24.7031
CTA15.CTHV3 - - - - - - - - - X X X CTHV3, cld_tau=1500. 1987_1987 4.6585 3.486 239.053 235.567 262.028 -48.2195 26.461 -21.7585 2.96679 24.7658
CTA18.CTHV3 - - - - - - - - - X X X CTHV3, cld_tau=1800. 1987_1987 4.1215 3.016 237.893 234.877 261.714 -49.3177 26.837 -22.4807 2.95964 24.9006
QP040.CTHV3 - - - - - - - - - X X X CTHV3, ratqsp0=400 hPa 1987_1987 4.9818 3.826 240.488 236.662 261.984 -46.6154 25.322 -21.2934 2.98308 24.6174
QP045.CTHV3 - - - - - - - - - X X X CTHV3, ratqsp0=450 hPa 1987_1987 2.1765 0.957 238.489 237.532 262.1 -48.5863 24.568 -24.0183 2.98164 24.4048

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 coupled CMIP5 simulations (historical)

Metrics with respect to forced-by-SST AMIP multi model

Metrics with respect to IPSLCM5A-LR (historical)