• Aucun résultat trouvé

Projected changes in the Arctic Oscillation: why do CMIP3 and CMIP5 disagree? J. Cattiaux

N/A
N/A
Protected

Academic year: 2022

Partager "Projected changes in the Arctic Oscillation: why do CMIP3 and CMIP5 disagree? J. Cattiaux"

Copied!
1
0
0

Texte intégral

(1)

e

Surface warming: CMIP5-3 3D warming: CMIP5-3 Remaining ASI area in %

SON DJ DJ

Fig 4. Remaining ASI area (in %) for SON in CMIP3 and CMIP5 projections.

Lines: ensemble mean. Boxplot: spread.

Fig 5. CMIP5-3 (R85-SA2) difference in FUT-PRE changes in a TAS and b zonally-averaged TA (colors) and ZG (contours) for DJ.

Projected changes in the Arctic Oscillation:

why do CMIP3 and CMIP5 disagree?

J. Cattiaux 1 , C. Cassou 2 , Y. Peings 1 , H. Douville 1

1

CNRM/Météo-France, Toulouse, France,

2

CERFACS/CNRS, Toulouse, France Corresponding author: [email protected]

AO in CMIP3 & CMIP5 projections

The AO is the first mode of atmospheric variability in the N. Hemisphere.

Based on CMIP3, IPCC-AR4 reported a tendency towards positive AO in future projections (see [1]). Recent studies suggest that CMIP5 projections might disagree (see [2]). Here we investigate the origins of such a discrepancy, based on 13 models participating to both CMIP3 and 5.

CMIP3 and CMIP5 differ in their projected changes of the winter AO. The difference projects onto negative AO, with a baroclinic (barotropic) profile in early (late) winter associated with CMIP5-3 differences in the Arctic sea ice decline (tropical Pacific response). Idealized 1pctCO2 experiments suggest that such discrepancies are linked to changes in GCMs, rather than in scenarios.

Introduction

Conclusions References

.

AGU 2012 GC33B – 1022

The role of the Arctic sea ice The influence of the tropical Pacific

[1] Miller, RL., GA. Schmidt and DT. Shindell (2006), Forced annular variations in the 20th century IPCC AR4 models, J. Geophys.

Res., 111, D18101.

[2] Cattiaux, J., H. Douville and Y. Peings (2012), European temperatures in CMIP5: origins of present-day biases and future uncertainties, Clim. Dyn., submitted.

[3] Deser, C. et al. (2010), The seasonal atmospheric response to projected Arctic sea ice loss in the late 21st century, J. Clim., 23, 333-351.

[4] Peings, Y., D. Saint-Martin and H. Douville (2011), A numerical sensitivity study of the influence of Siberian snow on the Northern Annular Mode, J. Clim., 25, 592-607.

[5] Cassou, C. and L. Terray (2001), Oceanic forcing of the low-frequency atmospheric variability in the North-Atlantic European sector, J. Clim., 14, 4266-4291.

Fig 2. CMIP5 (R85) vs. CMIP3 (SA2) FUT-PRE changes in DJFM AO index (FUT-PRE: 2070/99-1970/99).

Fig 3. a CMIP5-3 difference in FUT-PRE changes in PSL in DJ. b Same for FM. c Bimonthly FUT-PRE changes in AO index. d-f Same as a-c for detrended Z500.

What about changes from SRES to RCPs?

FM DJ

Fig 6. a FUT-PRE individual changes in AO index (DJ) vs.

remaining ASI area in SON.

b PDF of AO index (DJ) conditionnally to remaining ASI in SON (by 20%-ranges).

Fig 7. Zonally-averaged UA (in m/s) in CMIP3 and CMIP5 historical simulations (DJ).

AO change vs. remaining ASI

CMIP3 and CMIP5 disagree in their projected changes in the winter AO.

A faster decline in CMIP5 and a stronger impact on the early-winter AO.

The CMIP5-3 difference projects onto the negative phase of the AO (Fig 1).

A feature common to most of the 13 models used here (Fig 2).

The difference is rather baroclinic (barotropic) in early (late) winter (Fig 3).

EOF1 CMIP3 EOF1 CMIP5 PC1 CMIP3 (SRES A1B/A2) & CMIP5 (RCP 6.0/8.5)

Fig 1. a AO pattern CMIP3 PSL (ensemble-mean EOF1 ONDJFM 1950-1999). b Same for CMIP5. c Corresponding DJFM AO index in CMIP3 and CMIP5. Lines: ensemble mean.

Boxplot: spread. d-f Same as a-c for detrended Z500 (i.e. uniform thermal expansion removed).

DJFM

REOF2 NCEP PNA index CMIP3 & CMIP5

a b

a

c d

FM

Fig 8. a PNA pattern NCEP PSL (rotated EOF2 ONDJFM 1950-1999). b Corresponding FM PNA index in CMIP3 and CMIP5. Lines: ensemble mean.

Boxplot: spread. c-d Same as a-b for detrended Z500.

Fig 9. FUT-PRE changes in FM for a PR and b UA200 in CMIP3 (SA2) & CMIP5 (R85).

HIST HIST HIST

FUT-PRE FUT-PRE FUT-PRE

FUT-PRE

PR (mm/day)

UA200 (m/s)

A stronger Niño-like response influencing the late-winter AO through a positive PNA.

A barotropic response towards PNA+ in CMIP5 (Fig8)...

… linked to a stronger Niño-like response in the tropics (Fig 9, see [5]).

Stronger Arctic amplification (Fig 5) due to faster sea ice loss (Fig 4).

Timing and vertical profile consistent with [3].

Stronger negative AO response for similar sea-ice conditions (Fig 6), possibly linked to a northward shift of the polar vortex (Fig 7, see [4]).

FUT-PRE FUT-PRE

We find similar features in idealized 1pctCO2 experiments.

Only 7 models...

… but a similar negative AO signature in the CMIP5-3 difference.

Fig 10. Same as Figs 1f, 4 and 9a for 1pctCO2 experiments: AO index (DJFM), remaining ASI (SON) and CMIP5-3 FUT-PRE PR (FM).

a

b

PR (FM)

See color scale on Fig 9a.

FUT-PRE

Remaining ASI area (SON) AO index (DJFM) in CMIP3-5 1pctCO2

Références

Documents relatifs

The influence of the average shear rate on mean floc size has been widely investigated 1–4 and it is shown that higher shear rates may lead to smaller flocs.. Besides, the flow in

En présence d’un de ces substrats [5], la benzylacétone, la sensibilité de la mycobactérie à l’ETH s’est vu accrue d’environ cinq fois, suggérant que ce composé constitue

L'autre question directement associée à celle de l'existence et le cas échéant, à la nature (linéaire, graduelle ou non) des réponses à long terme des communautés

As the injection current increases, the modal gain spectral peak experiences a small blueshift over the photon energy, and the magnitude increases asymptotically, saturating at

Space Technology has the potential to provide information, infrastructure and inspiration that meets national needs in developing regions. Many countries recognize

On both occasions that the N-ICE2015 camp drifted over the Atlantic Water inflow in winter, a storm was ongoing resulting in ocean-ice heat fluxes of 30 W m −2 due to the combined

This includes models simulating a wide spread of mean sea-ice area and volume in March and September; the multimodel ensemble spread capturing the observed mean sea-ice area in

southward mean wind velocity at Fram Strait for each model, and found a ensemble mean positive trend of 6(±2)% per decade for the period 1979–2007, about the same order of magnitude