Observations and Modeling of Coupled Ocean-Atmosphere Interaction over the California Current System Cape Blanco Dudley Chelton 1, Xin Jin 2, Jim McWilliams 2 & Tracy Haack 3 1 Oregon State University 2 University of California at Los Angeles 3 Naval Research Laboratory, Monterey, California Cape Mendocino Chelton, D. B., M. G. Schlax, and R. M. Samelson, 27: Summertime coupling between sea surface temperature and wind stress in the California Current System. J. Phys. Oceanogr., 37, 495-517. Haack, T., D. B. Chelton, J. Pullen, J. Doyle, and M. Schlax, 28: Air-sea interaction from U.S. west coast summertime forecasts. J. Phys. Oceanogr., 38, 2414-2437. Jin, X., C. Dong, J. Kurian, J. C. McWilliams, D. B.. Chelton, and Z. Li, 28: Wind-SST Interaction in Coastal Upwelling: Oceanic Simulation with Empirical Coupling. Manuscript submitted to J. Phys. Oceanogr. August 22 Wind Stress Field from QuikSCAT
Overview 1) QuikSCAT observations of SST influence on surface winds in the California Current System (CCS). 2) COAMPS 1-way coupled modeling of ocean-atmosphere interaction in the CCS. 3) Sensitivity studies of 2-way coupling with a 25-cent empirical fully coupled model of an idealized CCS. QuikSCAT launch, June 19, 1999 Vandenberg, California
2-Month Average Wind Stress Magnitude and SST Contours Northern Hemisphere Summer (Spatially High-Pass Filtered) Small-scale structure is well developed in the California Current region during summer
QuikSCAT 29-Day Average Centered on 5 September 24 QuikSCAT resolution ~25 km (3-km gap near land) Navy Coupled Ocean Data Assimilation (NCODA) SST grid resolution 9 km C.I.=.3 N m -2, Heavy contour =.12 N m -2
QuikSCAT 29-Day Average Centered on 5 September 24 QuikSCAT resolution ~25 km (3-km gap near land) Navy Coupled Ocean Data Assimilation (NCODA) SST grid resolution 9 km C.I.=.3 N m -2, Heavy contour =.12 N m -2 o C/1 km Wind Stress Curl Wind Stress Divergence
COAMPS 29-Day Average Centered on 5 September 24 Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) grid resolution = 9 km Navy Coupled Ocean Data Assimilation (NCODA) SST grid resolution 9 km C.I.=.3 N m -2, Heavy contour =.12 N m -2 o C/1 km Wind Stress Curl Wind Stress Divergence The COAMPS model underestimates the curl response by 14% and the divergence response by 26%. - This may be attributable to inadequacies in the parameterization of vertical mixing.
COAMPS Model Run withfields Two Different SST Boundary Conditions: Mean Sept 24 MeanSST Fields Sept 24 SST NCODA and NOAA/RTG Mean Fields Sept 24 SST ( C per 1 km) x (N m per 1 km) (N m per 1 km) -2-2 per 14 SST x Crosswind x and (N m km) SST ( Cand per 1 km) SST COAMPS SST Gradient 24 4 (N and SST m-2downwind per 14 km) Wind Stress Divergence 1 5 18 15-5 24 RTG SST RTGStress SSTSept Sept24 24 Wind Curl RTG SST Sept 24-1 Wind Stress Divergence 1 21 5 18 15-5 12 ( C (color) and N COAMPS SST (old) COAMPS COAMPS SST(old) (old) Wind Stress SST Curl -2 21 12 RTG SST Gradient 4 m-2 (contour)) (N m-2 per 14 km (color) and C per 1 km (contour)) -1
Conclusion from the 1-Way Modeling Studies: The accuracy and resolution of the SST boundary condition are crucially important to realistic model simulations of surface wind response to SST. August 22 Wind Stress Field from QuikSCAT
Conclusion from the 1-Way Modeling Studies: The accuracy and resolution of the SST boundary condition are crucially important to realistic model simulations of surface wind response to SST. Note: The sensitivity of vertical mixing to atmospheric stability is also crucially important to realistic model simulations of surface wind response to SST - see Thursday afternoon presentation by Qingtao Song August 22 Wind Stress Field from QuikSCAT
Implications for Ocean Dynamics Are feedback effects of SST-induced perturbations of the wind stress field onto the ocean important? In other words, is the air-sea coupling 1-way or 2-way? August 22 Wind Stress Field from QuikSCAT
A 25-Cent Empirical Coupled Model (Xin et al., manuscript submitted to J. Phys. Oceanogr.) Based on the ROMS model for the ocean and QuikSCAT-based empirical coupling coefficients for feedback effects on the ocean. The procedure consists of forcing the ocean model with large-scale winds and then correcting the winds to include small-scale SST-induced perturbations. The results presented here are for an idealized rectangular domain with a meridional eastern boundary. - more sophisticated model runs are under development for a realistic California Current System and Peru-Chile Current System.
Overview of Model Results The wind stress is initially -.7 N m -2 and uniform equatorward. The cold upwelled water at the coast generates a crosswind SST gradient that creates a nearshore positive wind stress curl. This reduces the coastal upwelling but creates nearshore Ekman pumping. The broadening of the nearshore upwelling reduces the intensity of the alongshore SST front, thus slowing the development of baroclinic instability and weakening the mesoscale eddy field. The nearshore positive wind stress curl also: - causes the equatorward surface current to become shallower and weaker - broadens and increases the transport of the poleward undercurrent by Sverdrup dynamics. Average Wind Stress Days 4-8 (negative southward).2 τ y (N m 2 ).4.6.8.1 4 initial (uncoupled) 3 2 1 coupled, based on 1x, 2x and.5x the empirically observed coupling
Wind Stress, Temperature and Alongshore Velocity Uncoupled Coupled Difference T 18 T 18 T 1.5 1 16 14 1 16 14 1 1 z (m) 2 3 12 1 8 z (m) 2 3 12 1 8 z (m) 2 3.5.5 4 6 4 6 4 1 5 4 3 2 1 4 5 4 3 2 1 4 5 4 3 2 1 1.5 v 15 v 15 v 15 1 1 1 1 1 1 2 5 2 5 2 5 z (m) 3 5 z (m) 3 5 z (m) 3 5 4 1 4 1 4 1 5 4 3 2 1 15 5 4 3 2 1 15 5 4 3 2 1 15
Temporal Evolution of the Eddy Field 8 Sea-Surface Temperature, Day 6 Uncoupled 8 Coupled.3 Area-Averaged KE 7 16 7 16 KE (m 2 s 2 ).2.1 uncoupled coupled y (km) 6 5 14 12 y (km) 6 5 14 12 5 1 15 2 t (days) 4 1 4 1 3 8 3 8 Figure 3: Area-averaged surface kinetic energy (KE), 1 2 (u2 + v 2 ). Dashed and solid lines are for uncoupled and coupled cases, respectively. The initial KE value is.16 m 2 s 2. 2 4 3 2 1 6 2 4 3 2 1 6 Note the weaker cross-shore gradient of SST and the weaker eddy kinetic energy in the coupled model run. 25
Surface Vorticity (Normalized by f ) on Day 15 a) 8 Uncoupled b)coupled 8 y (km) 6 y (km) 6 4 4 2 4 3 2 1 2 4 3 2 1 1.5.5 1 1.5.5 1 In the coupled simulation, cyclonic eddies (red) are weakened and there is a much greater abundance of anticyclonic eddies (blue). Figure 9: Surface vorticity ζ(x, y) (normalized by f ) on day 16: (a) uncoupled and (b) coupled simulations.
SST-Induced Wind Stress Forcing of an Eddy Dipole Pair 86 SST ( o C) 16 86 ζ / f.6 y (km) 84 82 8 78 15 14 13 12 11 y (km) 84 82 8 78.4.2.2.4 The SST signature of cyclonic eddies is typically about 3 times stronger than that of anticyclonic eddies as a consequence of hydrostatic thermal wind balance: => cyclonic vortices have larger SST and SSH extrema and smaller radial scale.6 76 32 3 28 1 76 32 3 28 86 τ (1 6 N m 3 ) 2 86 τ (1 6 N m 3 ) 2 1.5 1.5 y (km) 84 82 8 78 1.5.5 1 y (km) 84 82 8 78 1.5.5 1 The associated stronger SST gradients generate stronger wind stress curl perturbations that act to force the eddy away from its axisymmetric shape, which is a disruptive force to further evolution. 1.5 1.5 76 32 3 28 2 76 32 3 28 2
Conclusions The SST influence on surface winds results in O(1) perturbations of the wind stress curl field that generates open-ocean upwelling. This ocean influence on the atmosphere is well represented in the COAMPS model run in an uncoupled configuration. Results from a 25-cent fully coupled model of an idealized eastern boundary current upwelling regime conclude that: - The cold upwelled water at the coast causes the nearshore winds to diminish, generating a nearshore positive wind stress curl that: 1) weakens the equatorward surface current 2) strengthens the poleward undercurrent 3) weakens the alongshore SST front 4) slows the development of baroclinic instability and weakens the mesocale eddy field - The coupling over oceanic eddies preferentially weakens cyclonic eddies, thus increasing the abundance of anticyclonic eddies. QuikSCAT launch, June 19, 1999 Vandenberg, California
QuikSCAT launch, June 19, 1999 Vandenberg, California Global Satellite Observations of Air-Sea Interaction on Scales of 1-1 km
2-Month Average Wind Stress Magnitude (Spatially High-Pass Filtered) Northern Hemisphere Winter
2-Month Average Wind Stress Magnitude and SST Contours (Spatially High-Pass Filtered) Northern Hemisphere Winter
2-Month Average Wind Stress Magnitude and SST Contours Northern Hemisphere Winter (Spatially High-Pass Filtered) SST influence in the California Current region is weak during winter
2-Month Average Wind Stress Magnitude and SST Contours Northern Hemisphere Summer (Spatially High-Pass Filtered) Small-scale structure is well developed in the California Current region during summer
QuikSCAT launch, June 19, 1999 Vandenberg, California Observations and 1-Way Coupled Modeling of Ocean-Atmosphere Interaction in the California Current System
QuikSCAT 29-Day Average Centered on 5 September 24 QuikSCAT resolution ~25 km (3-km gap near land) Navy Coupled Ocean Data Assimilation (NCODA) SST grid resolution 9 km C.I.=.3 N m -2, Heavy contour =.12 N m -2
COAMPS Model Run with Two Different SST Boundary Conditions: NCODA SST and NOAA/RTG SST Coupling Coefficients Wind Stress Curl Wind Stress Divergence 7 6 5 4 Slopes y =.25x RTG - 1.628 (blue) y =.214x NCODA - 11.314 (pink) 7 6 5 4 Slopes y =.23x - RTG 7.588 (blue) y =.24x - NCODA 8.3679 (pink) 3 3 2 2 WSC 1-1 WSD 1-1 -2-2 -3-3 -4-4 -5-5 -6-6 -7 3-1. -.8 -.6 35 -.4 -.24..2.4 45.6.8 51. 1.2 1.4 55 1.6 1.8 62. 2.2 2.4 65 2.6 2.8 7 CWSST -7 2-2. -1.8 25-1.6-1.4-1.23 1..8 35.6.4.24..2.4 45.6.85 1. 1.2 55 1.4 1.6 1.86 DWSST The coupling coefficients are nearly identical for both model runs, indicating that they are an intrinsic measure of the boundary layer dynamics within the model. - A given SST anomaly therefore generates a given wind stress response, regardless of the accuracy and resolution of that SST anomaly.