Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : tuningVLR.00
| 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 |
| tuningVLR.00 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CTRL |
2390_2399 |
0.176 | 0.143 | 235.504 | 235.361 | 266.942 | -53.1401 | 31.581 | -21.5591 | | 2.64247 | |
| tuningVLR.01 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
CLDLC*2 |
2390_2399 |
-6.9142 | -6.976 | 227.204 | 234.18 | 266.763 | -61.4123 | 32.583 | -28.8293 | | 2.65555 | |
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 tuningVLR.00_2390_2399
Metrics with respect to AR4.00
Metrics with respect to CMIP5/AMIP multi model