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

RUN Atlas YEAR Atlas --DJF-- Atlas --JJA-- 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
V5.70a G - - G - - G - - X X Run force de l'ete, V5.70a 1980_1989 2.9 1.681 240.822 239.141 265.184 -45.199 26.043 -19.156 2.97846 24.828
CM608.6-LR-pdCtrl-01 - - - - - - - - - X X Couple RIM6086 + coef_eva=4e-5 + pmagic= 0.01 2040_2049 2.2319 2.576 245.202 242.626 264.875 -41.3089 22.249 -19.0599 3.2081 25.1734
RIM6010ForC - - - G - - - - - X X RIM6010curie (2864/4261) + good anthropic aerosols 1987_1987 1.212 1.278 241.812 240.534 262.624 -44.5383 22.09 -22.4483 3.19976 25.28
NYam4.6010 - - - - - - - - - X X RIM6010ForC (2865/4261) + new_yamada4=y, lmixmin=0 1987_1987 2.8573 2.943 241.849 238.906 261.266 -44.4262 22.36 -22.0662 3.18383 25.2156
Ric18.6010 - - - - - - - - - X X NYam4.6010 + yamada4_ric=0.18 1987_1987 3.1519 3.275 242.815 239.54 261.493 -43.5239 21.953 -21.5709 3.16617 25.0703
Gust.6010 - - - - - - - - - X X RIM6010ForC (2865/4261) + iflag_gusts=1,f_gust_bl=0.845,f_gust_wk=0.2 1987_1987 4.0372 4.127 243.218 239.091 261.395 -43.3408 22.304 -21.0368 3.17272 25.4979
Adia1.6010 - - - - - - - - - X X RIM6010ForC (2865/4261) + iflag_mix_adiab=1 1987_1987 4.8268 5.0239 244.844 239.82 261.134 -41.6892 21.314 -20.3752 3.17589 25.0759

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 forced-by-SST AMIP multi model

Metrics with respect to coupled CMIP5 simulations (historical)

Metrics with respect to IPSLCM5A-LR (clim A verifier)