Série de simulations préparatoires à CMIP6, LMDZ-Orchidee, CTRL : CTRL6.0.5b

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

G - -

G - -

G - -

X

CTRL

2000_2009

3.0973

1.839

240.587

238.748

264.736

-45.7857

25.988

-19.7977

3.00405

G - -

G - -

G - -

X

Z0

2000_2009

4.3136

3.025

240.568

237.543

263.993

-45.6342

26.45

-19.1842

2.84851

G - -

G - -

G - -

X

GUST

2000_2009

0.3326

-0.943

239.504

240.447

265.984

-47.1872

25.537

-21.6502

3.18474

V6.0.5b.GUST.ratqs

G - -

G - -

G - -

X

GUST ratqs

2000_2009

3.0237

1.731

240.171

238.44

266

-46.6845

27.56

-19.1245

3.14556

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 CTRL6.0.5b_2000_2009

Metrics with respect to AR4.00

Metrics with respect to CMIP5/AMIP multi model