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The atmospheric response to an Oyashio SST front shift in an atmospheric GCM. Dima Smirnov, Matt Newman, Mike Alexander, Young-Oh Kwon & Claude Frankignoul August 6, 2013 Workshop on SST Fronts Boulder, Colorado. Impact of SST fronts on mean state. Significant impact has now been shown.
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The atmospheric response to an Oyashio SST front shift in an atmospheric GCM Dima Smirnov, Matt Newman, Mike Alexander, Young-Oh Kwon & Claude Frankignoul August 6, 2013 Workshop on SST Fronts Boulder, Colorado
Impact of SST fronts on mean state • Significant impact has now been shown Minobe et al., 2008 Front (solid) No front (dash) SST anomalies in front/no-front experiments approach 10°C 75% 300% Nakamura et al., 2008
Impact on variability ΔSST w/ obs SST (solid) smoothed (dash) 30% ~12% • Is the response mainly in the boundary layer? • Locally confined? • Is the atmosphere sensitive enough to respond to realisticSST front variability? Taguchi et al., 2009
Experimental design dSST/dy (°C 100 km-1) WARM COLD • SST anomaly based on the Oyashio Extension Index (1982-2008) • Outside of the frontal region (dSST/dy < 1.5 °C 100 km-1), SST anomalies are masked OEI from Frankignoul et al., 2011
Model information Model Experiments • NCAR’s Community Atmosphere Model (CAM), version 5 • 25 warm/cold ensembles with different atmospheric initial states from control run (taken a year apart) • Two simulations: • High-resolution (HR): Uses 0.25° CAM5. • Low-resolution (LR): Uses 1° CAM5. • Identical initial land, sea-ice and atmospheric initial conditions • Compare the Ensemblemeandifference (WARM –COLD)between the HR and LR model responses
Horizontal circulation Mean Nov-Mar difference: SLP (contour), turbulent heat flux (color), 2-m wind (arrow) LR HR L L • Turbulent heat flux is 10-20% stronger in LR • LR response is seasonally dependent • Both models imply a ~6-month persistence time for a 150-m mixed layer SST (thin contour), SLP (thick contour) NCEP L
Vertical circulation ERA-Int ω (contour, 1.5x10-3 Pa s-1) div (color, s-1) HR +50% What is the cause of the stronger circulation in the HR model? LR latitude
Vertical circulation: forcing Decomposeω using the generalized ωequation: diabatic heating vorticity advection thermal advection HR: All forcing HR: Model Output Re-constructed (left) not perfect, but still useful to compare contribution of individual terms.
Vertical circulation: forcing Diabatic heating: HR LR Δω(contour) ΔQDIAB (color) Vorticity advection: HR LR Δω(contour) Δ(HR-LR) (color)
Role of eddies : high-pass v’T’ 850mb v’T’ (mean: contour, diff: color) 2 Eddies in HR show a much greater sensitivity to the SST frontal shift NCEP -2 Cross-section across the front K m s-1 HR LR
Thermodynamic budget: 950mb <5% HR LR °C day-1
Thermodynamic budget: 700mb LR HR °C day-1
Conclusions • A high resolution model (<1°) is required to capture the atmospheric response to the Oyashio SST front shift • For CAM5, movement of heat from the warm side of the SST front is strongly resolution dependent: • In HR, a strong upward heat flux maintains a vertical circulation through the depth of the troposphere • In LR, heat is removed largely by horizontal eddy fluxes, causing a shallower vertical circulation • Unlike the LR, the HR develops a robust shift in the storm track • Collectively, what does this mean for the large scale response?
Remote response Sea-level pressure NDJ NDJ HR LR JFM JFM HR LR
Looking ahead • Can the difference in the HR and LR responses be explained with a simpler model? Is the difference related to differences in the mean state? • Employ a simplified GCM forced by diabatic heating. • How much of the difference in the HR and LR responses is actually due to a better resolved SST front, versus a higher-resolution atmosphere. • A “smooth” HR simulation (1° SST with a 0.25° GCM) appears to suggest that atmospheric resolution plays a larger role than SST front strength.
Smoothed HR Experiment (0.25° CAM5)