Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LREDDZ0
| RUN |
Atlas YEAR |
Atlas --DJF-- |
Atlas --JJA-- |
Zonal mean |
Dynamical regime |
Cloud Fraction |
Diurnal Cycle |
Scatter Plots |
Outputs |
Model Parameters |
Tested Parameter |
Period |
bils |
fnet |
tops |
topl |
topl0 |
crfsw |
crflw |
crfnet |
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 |
| LREDDZ0 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0. |
0000_0000 |
10.73 | let | let | 242.9 | 264.5 | let | 21.59 | let | let | 3.022 | let |
| LREDDZ05 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.05 |
0000_0000 |
9.659 | let | let | 242.2 | 264.5 | let | 22.38 | let | let | 3.074 | let |
| LREDDZ075 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.075 |
0000_0000 |
8.361 | let | let | 241.8 | 264.6 | let | 22.82 | let | let | 3.090 | let |
| LREDDZ1 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.1 |
0000_0000 |
6.864 | let | let | 241.5 | 264.6 | let | 23.13 | let | let | 3.108 | let |
| LREDDZ15 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.15 |
0000_0000 |
4.398 | let | let | 241.2 | 264.8 | let | 23.64 | let | let | 3.149 | let |
| LRL95EDDZ0 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L95 ed_dz=0. |
0000_0000 |
. | . | . | . | . | . | . | . | . | . | . |
| LRL95EDDZ05 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L95 ed_dz=0.05 |
0000_0000 |
. | . | . | . | . | . | . | . | . | . | . |
| LRL95EDDZ075 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L95 ed_dz=0.075 |
0000_0000 |
. | . | . | . | . | . | . | . | . | . | . |
| LRL95EDDZ1 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L95 ed_dz=0.1 |
0000_0000 |
. | . | . | . | . | . | . | . | . | . | . |
| LRL95EDDZ15 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L95 ed_dz=0.15 |
0000_0000 |
. | . | . | . | . | . | . | . | . | . | . |
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 LREDDZ0_0000_0000
Metrics with respect to AR4.00
Metrics with respect to CMIP5/AMIP multi model