|Home||<< 1 2 3 4 5 6 7 8 >>|
Ajayi, A., Le Sommer, J., Chassignet, E., Molines, J. - M., Xu, X., Albert, A., et al. (2020). Spatial and Temporal Variability of the North Atlantic Eddy Field From Two Kilometric-Resolution Ocean Models. J. Geophys. Res. Oceans, 125(5).
Abstract: Ocean circulation is dominated by turbulent geostrophic eddy fields with typical scales ranging from 10 to 300 km. At mesoscales (>50 km), the size of eddy structures varies regionally following the Rossby radius of deformation. The variability of the scale of smaller eddies is not well known due to the limitations in existing numerical simulations and satellite capability. Nevertheless, it is well established that oceanic flows (<50 km) generally exhibit strong seasonality. In this study, we present a basin‐scale analysis of coherent structures down to 10 km in the North Atlantic Ocean using two submesoscale‐permitting ocean models, a NEMO‐based North Atlantic simulation with a horizontal resolution of 1/60 (NATL60) and an HYCOM‐based Atlantic simulation with a horizontal resolution of 1/50 (HYCOM50). We investigate the spatial and temporal variability of the scale of eddy structures with a particular focus on eddies with scales of 10 to 100 km, and examine the impact of the seasonality of submesoscale energy on the seasonality and distribution of coherent structures in the North Atlantic. Our results show an overall good agreement between the two models in terms of surface wave number spectra and seasonal variability. The key findings of the paper are that (i) the mean size of ocean eddies show strong seasonality; (ii) this seasonality is associated with an increased population of submesoscale eddies (10�50 km) in winter; and (iii) the net release of available potential energy associated with mixed layer instability is responsible for the emergence of the increased population of submesoscale eddies in wintertime.
Keywords: submesoscales; fine‐ scales; enstrophy; eddies; SWOT
|Basu, S., Meyers, S. D., & O'Brien, J. J. (2000). Annual and interannual sea level variations in the Indian Ocean from TOPEX/Poseidon observations and ocean model simulations. J. Geophys. Res., 105(C1), 975–994.|
|Bourassa, M. A., Legler, D. M., O'Brien, J. J., & Smith, S. R. (2003). SeaWinds validation with research vessels. J. Geophys. Res., 108(C2).|
|Bourassa, M. A., Zamudio, L., & O'Brien, J. J. (1999). Noninertial flow in NSCAT observations of Tehuantepec winds. J. Geophys. Res., 104(C5), 11311–11319.|
|Bourassa, M. A. (2000). Shear stress model for the aqueous boundary layer near the air-sea interface. Journal of Geophysical Research – Oceans, 105(C1), 1167–1176.|
|Brzezinski, M. A., Krause, J. W., Bundy, R. M., Barbeau, K. A., Franks, P., Goericke, R., et al. (2015). Enhanced silica ballasting from iron stress sustains carbon export in a frontal zone within the California Current. J. Geophys. Res. Oceans, 120(7), 4654–4669.|
|Buijsman, M. C., Arbic, B. K., Richman, J. G., Shriver, J. F., Wallcraft, A. J., & Zamudio, L. (2017). Semidiurnal internal tide incoherence in the equatorial Pacific. J. Geophys. Res. Oceans, 12(7), 5286–5305.|
|Chakraborty, A., Sharma, R., Kumar, R., & Basu, S. (2014). An OGCM assessment of blended OSCAT winds. J. Geophys. Res. Oceans, 119(1), 173–186.|
|Dukhovskoy, D. S., Bourassa, M. A., Petersen, G. N., & Steffen, J. (2017). Comparison of the ocean surface vector winds from atmospheric reanalysis and scatterometer-based wind products over the Nordic Seas and the northern North Atlantic and their application for ocean modeling. J. Geophys. Res. Oceans, 122(3), 1943–1973.|
|Dukhovskoy, D. S., Myers, P. G., Platov, G., Timmermans, M. - L., Curry, B., Proshutinsky, A., et al. (2016). Greenland freshwater pathways in the sub-Arctic Seas from model experiments with passive tracers. J. Geophys. Res. Oceans, 121(1), 877–907.|