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LFV in a mid-latitude coupled model: Gulf Stream influence on the NAO M. Ghil 1 , 2 , E. Simonnet 3 , Y. Feliks 1 , 4 1 Dept. of Atmospheric and Oceanic Sciences and IGPP , UCLA, USA. 2 Geosciences Dept. and LMD (CNRS and IPSL), ENS, Paris. 3


  1. LFV in a mid-latitude coupled model: Gulf Stream influence on the NAO M. Ghil 1 , 2 , E. Simonnet 3 , Y. Feliks 1 , 4 1 Dept. of Atmospheric and Oceanic Sciences and IGPP , UCLA, USA. 2 Geosciences Dept. and LMD (CNRS and IPSL), ENS, Paris. 3 Institut Non-linéaire de Nice, CNRS, France. 4 Mathematics Department, IIBR, Nes-Ziona, Israel. 89th AMS Annual Mtg., 16th ASI Conf., Phoenix, Arizona 11–15 January 2009 Michael Ghil, Eric Simonnet, Yizhak Feliks

  2. Introduction and motivation (I) Low-frequency variability in the ocean Interannual variability in the mid-latitude oceans arises from a “gyre-mode" of period 7–8 y — theory and simple models. Robust relaxation oscillation of eastward oceanic jets (Jiang et al., JPO, 1995; Chang et al., JPO, 2001; Ghil et al., Physica D, 2002; Simonnet & Dijkstra, JPO, 2002; Simonnet et al., JPO, 2003a,b; Dijkstra & Ghil, Rev. Geophys., 2005; Simonnet, JPO, 2005). Period and surface features of this mode agree with the spatio-temporal characteristics of the North Atlantic Oscillation’s (NAO) SST and SLP fields (Moron et al., Clim. Dyn., 1998; Da Costa & Colin de Verdière, QJRMS, 2002; Simonnet et al., JMR, 2005). Michael Ghil, Eric Simonnet, Yizhak Feliks

  3. Introduction and motivation (II) Low-frequency variability in the troposphere: observations Plaut & Vautard (JAS, 1994): 70–day oscillation over the North Atlantic. Downstream anomalies off the Gulf Stream path. Low-frequency variability in the troposphere: model Feliks, Ghil & Simonnet (JAS, 2004, 2007; FGS’04, ’07 hereafter) have shown that a strong and narrow SST front can induce a vigourous jet in the atmosphere above, via Ekman pumping in the marine atmospheric boundary layer (ABL). Intraseasonal (30–200 days) variability in a QG atmosphere with fixed, time-independent SSTs. What about fully coupled models of the North Atlantic? Michael Ghil, Eric Simonnet, Yizhak Feliks

  4. Ocean-atmosphere coupling mechanism (I) Marine ABL Wind above an eastward oceanic jet blows from north to south giving a well-mixed marine ABL of height H e with potential temperature θ ( z ) ≃ θ ( z = 0 ) ≡ T ( x , y ) . Hydrostatic approximation yields pressure p ( z ) = p ( H e ) − g ρ 0 ( H e − z ) T / T 0 . Pressure p ( H e ) at the top H e of the marine ABL is given by the geostrophic winds in the free atmosphere. Linear equation of motion in the marine ABL with appropriate boundary conditions (B.C.s): ∂ 2 1 ∂ p k 0 ∂ z 2 u + fv − ∂ x = 0 ρ 0 ⇒ u ( z ) , v ( z ) ∂ 2 1 ∂ p k 0 ∂ z 2 v − fu − ∂ y = 0 ρ 0 Divergence-free vector field gives vertical velocity (Ekman pumping): ❩ H e w ( H e ) = − ( ∂ x u + ∂ y v ) dz 0 Michael Ghil, Eric Simonnet, Yizhak Feliks

  5. Ocean-atmosphere coupling mechanism (II) Vertical velocity at the top of the marine ABL The nondimensional w ( H e ) is given by ❤ ✐ γζ g − α ∇ 2 T w ( H e ) = , with γ = c 1 ( f 0 L / U )( H e / H a ) and α = c 2 ( g / T 0 U 2 )( H 2 e / H a ) , where H a is the layer depth of the free atmosphere ( ∼ 10 km), and ζ g the atmospheric geostrophic vorticity. Two components: one mechanical , due to the geostrophic flow ζ g above the marine ABL and one thermal , induced by the SST front. Atmospheric jet t e j He c i n a e c SST O North South Michael Ghil, Eric Simonnet, Yizhak Feliks

  6. Results in idealized atmospheric models Intraseasonal variability (FGS’04, ’07) A prescribed, time-independent , mid-latitude ocean thermal front forces a barotropic (FGS’04) and baroclinic (FGS’07) QG atmosphere in a periodic β -channel. Rectangular domain and a tilted, antisymmetric SST front: multiple equilibria with (perturbed) symmetry-breaking and Hopf bifucations. Barotropic instabilities with 5–30-day and 70-day periods. Baroclinic instabilities with a 9-month period. Atmospheric streamfunction 70−day barotropic instability 140 140 120 140 Prescribed oceanic front 120 120 100 100 100 80 80 80 60 60 60 40 40 t=0 t=T/4 40 20 20 20 20 40 60 80 100 120 140 160 20 40 60 80 100 120 140 160 20 40 60 80 100 120 140 160 DOWNSTREAM ! Michael Ghil, Eric Simonnet, Yizhak Feliks

  7. A model of the North Atlantic basin (I) The next step in the modeling hierarchy Realistic East Coast contour, at − 200 m isobath. An oceanic QG baroclinic model with four layers and internal Rossby radii from observational dataset (Mercier et al., JPO, 1993). Climatological, annual-mean COADS wind-stress forcing (1 deg). Realistic bathymetry. Transport equation for the SST relaxed to the climatological SST field. Full coupling with a QG barotropic atmosphere in a periodic β -channel, with vorticity feedback to the ocean. No-slip B.C.s for the ocean at the coasts parametrized following Verron and Blayo (JPO, 1996); free-slip B.C.s elsewhere. Ω ∇ 2 T dx = 0. ❘ Neuman B.C.s for SST field, thus ensuring that Free-slip and periodic B.C.s for the atmosphere. Michael Ghil, Eric Simonnet, Yizhak Feliks

  8. A model of the North Atlantic basin (II) Gulf Stream (GS) separation and WBC instabilities: issues Correct no-slip oceanic B.C.s crucial to obtain separation at Cape Hateras (well-known) ⇒ positive vorticity advected into Florida Current. Strong inertial flow is necessary to obtain correct GS path (see Chassignet et al., etc.); trade-off between viscosity and wind-stress intensity ⇒ sufficiently high resolution is necessary! Model is sensitive to stratification parameters: too strong baroclinic and/or bathymetric instabilities destroy GS path along Florida coast ⇒ barotropization of the GS. Occurrence of GS retroflection: true bimodality or model artifact? Correct stratification parameters enhance GS penetration into the ocean interior! Thermal diffusivity is important to insure smoothness of the SST front w.r. to spatial resolution. It also controls the atmospheric jet strength. QG modeling is far more difficult than in rectangular basins but it works! Michael Ghil, Eric Simonnet, Yizhak Feliks

  9. Coupled model results, at (1/9) deg resolution (I) A h | ocean = 200 m 2 /s, κ | SST = 1200 m 2 /s Streamfunction (layer 1) Mean streamfunction (layer 1) 40 40 30 20 20 10 0 0 Sv Sv −20 −10 −20 −40 −30 −60 ∇ 2 SST SST 4 x 10 1.5 25 1 20 0.5 15 0 C/m2 C −0.5 10 −1 5 −1.5 Michael Ghil, Eric Simonnet, Yizhak Feliks

  10. Coupled model results, at (1/9) deg resolution (II) H e = 800 m, A h | atmos = 400 m 2 /s Streamfunction Velocity 12 300 10 250 8 200 m/s 6 150 4 100 2 50 0 50 100 150 200 250 300 350 400 450 Mean streamfunction Michael Ghil, Eric Simonnet, Yizhak Feliks

  11. Lo w-frequency variability of the coupled ocean-atmosphere Intraseasonal atmospheric variability (I) 84 d MEM Spectrum Data Vector -ssarcvec,M=30 < | ψ atmos | 2 > SSA Reconstruction (M=240 d) 1 1 0.5 0 −0.5 −1 11 12 13 14 15 16 17 18 19 20 21 Years 0.001 0.02 0.04 0.06 0.08 Michael Ghil, Eric Simonnet, Yizhak Feliks

  12. Lo w-frequency variability of the coupled ocean-atmosphere Intraseasonal atmospheric variability (II) ~ 11 months MEM Spectrum Data Vector -ssarcvec,M=30 < | ψ atmos | 2 > SSA Reconstruction (M=3 y) 2 1.5 1 0.5 1 0 −0.5 −1 −1.5 0 5 10 15 20 25 30 Years 0.005 0.01 0.015 0.02 Michael Ghil, Eric Simonnet, Yizhak Feliks

  13. Effect of the coupling on the ocean ocean−atmosphere ocean Mean streamfunction (layer 1) Mean streamfunction (layer 1) 40 40 30 30 20 20 10 10 0 0 −10 −10 −20 −20 −30 −30 −40 −40 < | ψ | 2 > GS max velocity −3 x 10 4.5 6 4 5 3.5 3 4 2.5 3 ocean−atmosphere 2 2 1.5 ocean 1 1 0.5 0 0 0 10 20 30 40 50 60 70 80 0 10 20 30 40 50 60 70 80 years years Michael Ghil, Eric Simonnet, Yizhak Feliks

  14. Interannual variability Ocean alone 11 y 4.1 y MEM Spectrum < | ψ ocean | 2 > SSA Reconstruction (M=240 m) Data Vector -ssarcvec,M=40 −3 1 x 10 0.8 0.6 0.4 1e-06 0.2 0 −0.2 −0.4 −0.6 −0.8 −1 0 50 100 150 0.01 0.02 0.03 0.04 0.05 Years Coupled ocean and atmosphere Ongoing (80-y run)... Preliminary results indicate a 3–4-y peak in the ocean. Longer periods in the ocean ( ∼ 10 y) and, probably, atmosphere as well. Michael Ghil, Eric Simonnet, Yizhak Feliks

  15. Concluding remarks Summary We have a realistic coupled ocean-atmosphere QG model of the North Atlantic basin; 700 000 grid-point variables (ocean + SST + atmos.). Coupling mechanism is through Ekman pumping in the marine ABL. Persistent, eastward atmospheric jet ∼ 10 m / s in the troposphere. Atmospheric oscillations with periods of 80 days and 11 months. Interannual oscillations in the ocean and atmosphere. Ongoing work Robustness of intraseasonal and interannual oscillations in the model. Spatio-temporal structure of the 80–day intraseasonal oscillation. Interannual variability in the coupled ocean-atmosphere ≃ NAO? Bimodality of the Gulf Stream? Baroclinic atmosphere. Finer spatial resolution: effects on the Gulf Stream and troposphere. Michael Ghil, Eric Simonnet, Yizhak Feliks

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