Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CTRL6.0.5
| 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 |
| CTRL6.0.5 |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CTRL |
2000_2004 |
3.2505 | 1.94 | 240.603 | 238.663 | 264.631 | -45.8565 | 25.968 | -19.8885 | | 3.00433 | 24.9805 |
| V6.0.5.Z0 |
G
-
-
|
-
-
-
|
G
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
Z0 |
2000_2004 |
1.491 | 0.281 | 239.843 | 239.562 | 265.223 | -46.8642 | 25.661 | -21.2032 | | 3.19101 | 27.0007 |
| V6.0.5.GUST |
G
-
-
|
-
-
-
|
G
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
GUST |
2000_2004 |
0.1725 | -1.093 | 239.107 | 240.2 | 265.817 | -47.5563 | 25.617 | -21.9393 | | 3.20009 | 27.0347 |
| CM605-LR-pdCtrl-01 |
-
-
-
|
G
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CM605 |
1960_1969 |
1.3473 | 0.192 | 240.362 | 240.17 | 266.665 | -45.4765 | 26.495 | -18.9815 | | 3.00156 | 24.9605 |
| CM605.Z0-LR-pdCtrl-01 |
-
-
-
|
G
-
-
|
G
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CM605.Z0 |
1960_1969 |
-1999998 | -999999 | 0 | 999999 | 999999 | 0 | 0 | 0 | | 999999 | 999999 |
| CM605.GUST-LR-pdCtrl-01 |
G
-
-
|
G
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CM605.GUST |
1960_1969 |
-1999998 | -999999 | 0 | 999999 | 999999 | 0 | 0 | 0 | | 999999 | 999999 |
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)