Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : NPv5.3

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
NPv5.3 G N S G N S G N S X X Calipso Isccp X X X X Runs de l'ete, IPSL-CM6.0.1 1982_1989 0.0468 -0.867 241.813 242.68 265.952 -48.1478 23.272 -24.8758 3.05269
NPv5.65svn2574 - - - - - - - - - X X Calipso Isccp X X X X Reglage 5.6IM 1980_1980 0.4644 -1.244 238.583 239.827 264.772 -48.8412 24.945 -23.8962 3.04365
MP65lc2 G - - - - - - - - X X Calipso Isccp X X X X NPv5.65lmix02, cld_lc_*=0.0002 1979_1979 3.3591 1.995 243.854 241.859 265.339 -43.0789 23.48 -19.5989 3.01665
MP67 G - - - - - - - - X X Calipso Isccp X X X X Reglage v5.67Pday01 1979_1979 3.4169 1.984 243.59 241.606 265.35 -43.3108 23.744 -19.5668 3.0399
NPv5.65cloudth - - - - - - - - - X X Calipso Isccp X X X X NPv5.65svn2574, iflag_cloudth_vert=2 1980_1980 -7.8423 -9.693 229.269 238.962 264.503 -58.0435 25.541 -32.5025 3.01638
MP65lmix2vert2 G - - - - - - - - X X Calipso Isccp X X X X NPv5.65cloudth,lmixmin=1.,pbl_lmixmin_alpha=0.05 1979_1979 -7.7883 -9.14 230.23 239.37 264.763 -56.5434 25.393 -31.1504 2.981
MP65v2ep995 G - - - - - - - - X X Calipso Isccp X X X X MP65lmix2vert2, epmax=0.995 1979_1979 -8.9168 -10.473 224.879 235.352 265.448 -61.9531 30.096 -31.8571 2.88913
MP65v2lc1 G - - - - - - - - X X Calipso Isccp X X X X MP65lmix2vert2, cld_lc_*=0.0001 1979_1979 -0.8119 -2.376 240.597 242.973 265.369 -46.2455 22.396 -23.8495 2.99557
MP65v2fal1 G - - - - - - - - X X Calipso Isccp X X X X MP65lmix2vert2, ffallv_*=1. 1979_1979 -7.748 -9.129 236.783 245.912 264.828 -49.9443 18.916 -31.0283 3.09586
MP65v2tau12 G - - - - - - - - X X Calipso Isccp X X X X MP65lmix2vert2, cld_tau_*=1200. 1979_1979 -8.498 -9.869 229.225 239.094 264.686 -57.5119 25.592 -31.9199 2.97251

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 NPv5.3_1982_1989

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model