Showed an obvious decreasing tendency of with increasing Ri (Figure 9). Application of a nonlinear least squares regression towards the bin-averaged data offered values of 0 = 5.1 10-6 m2 /s and m = 1.four 10-4 m2 /s. This 0 was bigger than the worth estimated by Liu et al. [11], who derived 0 = two.1 10-6 m2 /s in the low latitudes in the Pacific Ocean. It can be not hard to know, simply because our observations were performed at a greater latitude. The m within this study was slightly smaller. The 95 self-assurance intervals with the model predictions are also shown in Figure 9 as red dots. Right here, a majority with the bin-averaged data fall inside the self-confidence intervals, which means that the above analytical model adequately approximated the observations. In addition, the estimated value of 0 was similar towards the observed background diffusivity from VMP-250 (Figure four).J. Mar. Sci. Eng. 2021, 9,13 ofFigure 9. Microstructure observed diffusivity versus Ri for all estimates in the thermocline, with original (gray symbols) and bin-averaged samples (black symbols). Red solid line shows the nonlinear least squares regression towards the bin-averaged information, with 95 self-confidence intervals indicated by red dotted lines.5. Conclusions This study reports on turbulence microstructure measurements of turbulent mixing across an anticyclonic eddy inside the northern South China Sea. Thermocline turbulence and mixing were found to become weak at the center in the eddy, using a mean TKE dissipation rate of 1.three 10-9 W/kg and also a diapycnal diffusivity of 6 10-6 m2 /s. Elevated mixing was identified at the periphery, with a diffusivity threefold bigger than the diffusivity in the center. The spatial variation of the mixing was optimistic, constant with all the change within the APE of your internal wave and also the modify within the background shear. From these findings, we conclude that the lack of internal wave power within the corresponding neap tide period through the center eddy measurements would be the key explanation for the spatial structure of mixing inside the thermocline. Under the influence of an anticyclonic eddy, Fr (the ratio in the background shear for the buoyancy frequency) indicated that the wave ean flow interactions each inside the center and in the periphery on the eddy have substantial roles inside the wave dynamics. These significant wave ean flow interactions may possibly cause error in the outcomes of finescale parameterizations. In the thermocline, overprediction of fine-scale Thromboxane B2 In Vivo parameterization outcomes existed at the eddy center when and exactly where the internal waves had been inactive; even so, the outcomes have been consistent with microstructure observations along the eddy’s periphery within the vicinity of active internal waves. Hence, the sturdy background shear and wave ean flow interactions Verdiperstat medchemexpress affected by the mesoscale eddy were not accountable for effects around the applicability of fine-scale parameterization. As an alternative, the activity in the internal wave was by far the most critical factor. Concerning the error of fine-scale parameterization, the Richardson number-based model proposed by Liu et al. [11] is a different option for parameterizing the thermocline turbulence inside the center with the eddy.Author Contributions: Conceptualization, H.M.; methodology, Y.Q. and X.S.; validation, X.W.; formal evaluation, L.Y.; investigation, L.Y., X.W. and X.L.; information curation, Y.Q.; writing–original draft preparation, Y.Q.; writing–review and editing, H.M.; supervision, S.L.; project administration, H.M.; funding acquisition, S.L. All authors have read and agreed to th.