Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CM607-LR-amip-02
| 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 |
| CM607-LR-amip-02 |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
AMIP Arnaud reglage CM07 |
1999_2008 |
2.2062 | 1.051 | 237.406 | 236.355 | 262.574 | -48.9171 | 26.219 | -22.6981 | | 3.14957 | 26.9359 |
| LMDZOR.Z0.CTRL |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
LMDZOR CLIM Z0 |
1990_2009 |
2.8241 | 1.723 | 237.77 | 236.047 | 262.281 | -48.2707 | 26.234 | -22.0367 | | 3.09072 | 26.5899 |
| LMDZOR.NUD.Z0 |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
AMIP607 U,V NUD |
1990_2009 |
-0.979 | -1.035 | 235.713 | 236.748 | 262.907 | -50.1813 | 26.159 | -24.0223 | | 3.12749 | 26.7234 |
| CM607-LR-pdCtrl-01 |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
CM607 |
2090_2099 |
1.6763 | 0.54 | 235.359 | 234.819 | 261.685 | -49.5702 | 26.866 | -22.7042 | | 3.05979 | 24.6141 |
| CM607-LR-pdCtrl-nudgeUV |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
CM607 U,V NUDGED |
1999_2008 |
1.2891 | 1.177 | 232.616 | 231.439 | 257.509 | -49.5354 | 26.07 | -23.4654 | | 2.9219 | 21.5055 |
| CM607-LR-pdCtrl-nudgeUVT |
G
-
-
|
G
-
-
|
G
-
-
|
X |
X |
CM607 U,V,T NUDGED |
1999_2008 |
3.0766 | -2.601 | 238.186 | 240.787 | 265.819 | -47.1864 | 25.032 | -22.1544 | | 3.08492 | 26.9235 |
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)