Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : FHLR9V60102
| 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 |
| FHLR9V60102 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
3.4616 | 3.143 | 238.968 | 235.825 | 260.353 | -46.3923 | 24.528 | -21.8643 | | 3.23102 | 25.0015 |
| FHLR9V60103b |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
2.7835 | 2.567 | 238.998 | 236.431 | 259.961 | -46.3092 | 23.53 | -22.7792 | | 3.15241 | 25.4579 |
| FHLR9V60103 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
7.7384 | 7.348 | 240.127 | 232.779 | 258.367 | -45.2764 | 25.588 | -19.6884 | | 2.97854 | 26.2683 |
| FHLR9V60103ric |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
2.1795 | 2.007 | 238.303 | 236.296 | 259.966 | -46.9463 | 23.67 | -23.2763 | | 3.17005 | 25.5348 |
| FHLR9V60103ricb |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
2.0622 | 1.857 | 238.034 | 236.177 | 260.05 | -47.2538 | 23.873 | -23.3808 | | 3.17668 | 25.4603 |
| FHLR9NV60103 |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
1.0415 | 0.811 | 236.574 | 235.763 | 259.847 | -48.6226 | 24.084 | -24.5386 | | 3.17259 | 25.1999 |
| FHLR9NV60103b |
-
-
-
|
-
-
-
|
-
-
-
|
X |
X |
RAS |
2000_2000 |
1.4841 | 1.266 | 237.641 | 236.375 | 260.051 | -47.6178 | 23.676 | -23.9418 | | 3.17099 | 25.3052 |
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)