Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM607-LR-pdCtrl-01
| 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 |
| CM607-LR-pdCtrl-01 |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
X |
CM607 |
2090_2099 |
1.6763 | 0.54 | 235.359 | 234.819 | 261.685 | -49.5702 | 26.866 | -22.7042 | | 3.05979 | 24.6141 |
| CM607pdtctrlGust |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
X |
CM607.GUST |
2090_2099 |
1.6668 | 0.558 | 235.728 | 235.17 | 261.956 | -49.2936 | 26.786 | -22.5076 | | 3.06022 | 24.445 |
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)