Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHLR9QV60103
| 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 |
| FHLR9QV60103 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
0.8381 | 0.651 | 236.453 | 235.802 | 259.957 | -48.8254 | 24.155 | -24.6704 | | 3.17472 | 25.3699 |
| FHLR9QV60103gust |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
0.2338 | 0.099 | 236.629 | 236.53 | 260.504 | -48.665 | 23.974 | -24.691 | | 3.17415 | 25.3845 |
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)