Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : EVsimstd
| RUN |
Atlas YEAR |
Atlas --DJF-- |
Atlas --JJA-- |
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 |
| EVsimstd |
G
-
-
|
G
-
S
|
G
-
S
|
X |
X |
Etienne std |
2014_2023 |
16.106 | 15.4874 | 255.673 | 240.186 | 266.499 | -37.2942 | 26.313 | -10.9812 | | 2.92601 | 999999 |
| EVsimctrl |
G
-
-
|
G
-
S
|
G
-
S
|
X |
X |
Etienne ctrl |
2014_2023 |
14.9728 | 14.3991 | 254.578 | 240.179 | 266.378 | -38.2661 | 26.199 | -12.0671 | | 2.93973 | 999999 |
| EVMY1 |
G
-
-
|
G
-
S
|
G
-
S
|
X |
X |
Etienne MY1 |
2014_2023 |
18.3724 | 17.6871 | 255.271 | 237.584 | 262.663 | -37.6393 | 25.079 | -12.5603 | | 2.86251 | 999999 |
| EVMY2 |
G
-
-
|
G
-
S
|
G
-
S
|
X |
X |
Etienne MY2 |
2014_2023 |
18.3623 | 17.6888 | 255.167 | 237.478 | 262.357 | -37.6856 | 24.879 | -12.8066 | | 2.84063 | 999999 |
| EVMY3 |
G
-
-
|
G
-
S
|
G
-
S
|
X |
X |
Etienne MY3 |
2014_2023 |
18.3323 | 17.6749 | 255.235 | 237.56 | 262.387 | -37.6233 | 24.827 | -12.7963 | | 2.84197 | 999999 |
| EVMY3oro |
G
-
-
|
G
-
S
|
G
-
S
|
X |
X |
Etienne MY3oro |
2014_2023 |
18.3176 | 17.6338 | 255.311 | 237.677 | 262.588 | -37.5938 | 24.911 | -12.6828 | | 2.84893 | 999999 |
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 forced-by-SST AMIP multi model
Metrics with respect to coupled CMIP5 simulations (historical)
Metrics with respect to IPSLCM5A-LR (clim A verifier)