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

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
FHXVLR16NPv6.0.11cvoro - - - - - - - - - FHXXVLR16NPv6.0.11cvoro 2006_2006 FHXVLR16NPv6.0.11cvoro 3.9209 2.738 236.498 233.76 258.681 -48.6367 24.921 -23.7157 3.04828 25.9592
FHXVLR12NPv6.0.11gust - - - - - - - - - NPv6.0.11gust 2000_2000 FHXVLR12NPv6.0.11gust 2.3276 1.026 237.241 236.215 258.591 -47.7202 22.376 -25.3442 3.03344 26.0019
FHXVLR16GU40 - - - - - - - - - FHXVLR16GU40 2006_2006 FHXVLR16GU40 3.7661 3.016 239.414 236.398 258.894 -45.3338 22.496 -22.8378 3.01505 25.3954
FHXVLR16GU40wbepJ - - - - - - - - - FHXVLR16GU40wbepJ 2006_2006 FHXVLR16GU40wbepJ -3.372 -4.174 225.733 229.907 259.595 -59.2073 29.688 -29.5193 2.86403 26.0238

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)