Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : MP67
| 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 |
| MP67 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
Reglage v5.67PDay01 |
1979_1979 |
3.4169 | 1.984 | 243.59 | 241.606 | 265.35 | -43.3108 | 23.744 | -19.5668 | | 3.0399 | |
| MP67ep9999 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
MP67, epmax=0.9999 |
1979_1979 |
3.8115 | 2.2993 | 248.464 | 246.165 | 265.043 | -38.3521 | 18.878 | -19.4741 | | 3.12107 | |
| MP67ep4x9fal4 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
MP67, fallv=0.4 |
1979_1979 |
4.2852 | 2.7532 | 246.938 | 244.185 | 264.963 | -39.9276 | 20.778 | -19.1496 | | 3.09752 | |
| MP67ep4x9fal2 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
Reglage MP69, fallv=0.2 |
1979_1979 |
7.4871 | 6.089 | 240.295 | 234.206 | 264.63 | -46.5969 | 30.424 | -16.1729 | | 2.89286 | |
| MP69lc15 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
MP69, cldlc=0.15 |
1979_1979 |
8.4647 | 7.0504 | 242.128 | 235.078 | 264.642 | -44.7046 | 29.564 | -15.1406 | | 2.89954 | |
| MP69lc1 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
MP69, cldlc=0.1 |
1979_1979 |
9.9058 | 8.4241 | 244.81 | 236.386 | 264.826 | -42.1399 | 28.44 | -13.6999 | | 2.90215 | |
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 MP67_1979_1979
Metrics with respect to AR4.00
Metrics with respect to CMIP5/AMIP multi model