(AUTRES) Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHXVLR16NPv6.0.11

RUN (link to outputs) Atlas YEAR Atlas --DJF-- Atlas --JJA-- Description of the simulation ______________________________ Period Name (link to parameters) 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
FHXVLR16NPv6.0.11 G - - - - - - - - NPv6.0.11 80x80x79 2006_2006 FHXVLR16NPv6.0.11 2.7845 2.823 239.512 236.689 258.678 -45.4944 21.989 -23.5054 3.14183 26.2101
FHXVLR16NPv6.0.11ena G - - - - - - - - NPv6.0.11 conservation 10 80x80x79 2006_2006 FHXVLR16NPv6.0.11ena 3.855 3.324 240.118 236.794 258.703 -44.8961 21.909 -22.9871 3.13134 26.231
FHMRNPv6.0.11ena G - - - - - - - - NPv6.0.11 256x256x79 (avec conservation 10) 2001_2001 FHMRNPv6.0.11ena -999890 12.8572 254.085 241.228 262.812 -37.3474 21.584 -15.7634 3.30337 25.637

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)