Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : MPv5.66aCep998
| 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 |
| MPv5.66aCep998 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CTRL |
1979_1979 |
0.6594 | -0.707 | 237.154 | 237.861 | 265.248 | -50.2302 | 27.387 | -22.8432 | | 2.9612 | |
| MPv5.66aCep999 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
epmax=0.999 |
1979_1979 |
1.4086 | -0.09 | 240.279 | 240.369 | 265.043 | -47.121 | 24.674 | -22.447 | | 3.01841 | |
| MPv5.66aC2qsh3 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
ratqshaut=0.3 |
1979_1979 |
2.5856 | 1.096 | 237.3 | 236.204 | 265.1 | -50.1844 | 28.896 | -21.2884 | | 2.94001 | |
| MPv5.66aC2lc3 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
lc=3g/kg |
1979_1979 |
1.7489 | 0.361 | 238.988 | 238.627 | 265.549 | -48.4503 | 26.922 | -21.5283 | | 2.97276 | |
| MPv5.66aC2fal4 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
fallv=0.4 |
1979_1979 |
0.8271 | -0.554 | 234.762 | 235.316 | 265.328 | -52.6967 | 30.012 | -22.6847 | | 2.90887 | |
| MPv5.66aC2eva1 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
coef_eva=1e-4 |
1979_1979 |
1.7327 | 0.242 | 238.319 | 238.077 | 265.339 | -49.1222 | 27.262 | -21.8602 | | 2.97495 | |
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 MPv5.66aCep998_1979_1979
Metrics with respect to AR4.00
Metrics with respect to CMIP5/AMIP multi model