Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM609-LR-Gust
| RUN |
Atlas YEAR |
Atlas --DJF-- |
Atlas --JJA-- |
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 |
| CM609-LR-Gust |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
CM609 |
1950_1959 |
1.6675 | 0.515 | 239.995 | 239.48 | 263.208 | -46.3995 | 23.728 | -22.6715 | | 3.13156 | 25.1857 |
| CM609-LR-Gust-nudUV12h |
G
N
-
|
G
N
-
|
G
N
-
|
X |
X |
CM609 NUD U,V |
1980_1989 |
0.6689 | 0.286 | 239.784 | 239.498 | 262.906 | -46.175 | 23.408 | -22.767 | | 3.12091 | 24.2086 |
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)