Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : LRBIDOUILLE
| 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 |
| LRBIDOUILLE |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 Bidouille |
0000_0000 |
4.162 | 4.2618 | 246.963 | 242.701 | 264.576 | -44.7839 | 21.875 | -22.9089 | | 3.06695 | |
| LREDDZ0 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0. |
0000_0000 |
10.7274 | 10.8579 | 253.728 | 242.87 | 264.458 | -38.1694 | 21.588 | -16.5814 | | 3.02248 | |
| LREDDZ05 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.05 |
0000_0000 |
9.6619 | 9.6991 | 251.86 | 242.161 | 264.538 | -39.952 | 22.377 | -17.575 | | 3.07386 | |
| LREDDZ1 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.1 |
0000_0000 |
6.8657 | 6.9562 | 248.475 | 241.519 | 264.65 | -43.3029 | 23.131 | -20.1719 | | 3.10768 | |
| LREDDZ15 |
G
-
-
|
-
-
-
|
-
-
-
|
X |
X |
Calipso Isccp |
X |
X |
X |
X |
L79 ed_dz=0.15 |
0000_0000 |
4.4008 | 4.5729 | 245.742 | 241.169 | 264.805 | -45.9929 | 23.636 | -22.3569 | | 3.14932 | |
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 LRBIDOUILLE_0000_0000
Metrics with respect to AR4.00
Metrics with respect to CMIP5/AMIP multi model