Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : V5.70a
| RUN |
Atlas YEAR |
Atlas --DJF-- |
Atlas --JJA-- |
Cloud Fraction |
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
-
-
|
-
-
-
|
-
-
-
|
Calipso Isccp |
X |
X |
6.0.5 |
1980_1989 |
2.8107 | 1.635 | 240.654 | 239.019 | 265.205 | -45.5916 | 26.186 | -19.4056 | | 3.01581 | 24.6266 |
| V5.70aZ0 |
G
-
-
|
-
-
-
|
-
-
-
|
Calipso Isccp |
X |
X |
6.0.5 noveaux z0 |
1980_1989 |
1.2539 | 0.079 | 240.178 | 240.099 | 265.841 | -46.1032 | 25.742 | -20.3612 | | 3.15974 | 26.8722 |
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)