2019
DOI: 10.1029/2019jc015166
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Global Impacts of Subseasonal (<60 Day) Wind Variability on Ocean Surface Stress, Buoyancy Flux, and Mixed Layer Depth

Abstract: Subseasonal surface wind variability strongly impacts the annual mean and subseasonal turbulent atmospheric surface fluxes. However, the impacts of subseasonal wind variability on the ocean are not fully understood. Here, we quantify the sensitivity of the ocean surface stress ( ), buoyancy flux (B), and mixed layer depth (MLD) to subseasonal wind variability in both a one-dimensional (1-D) vertical column model and a three-dimensional (3-D) global mesoscale-resolving ocean/sea ice model. The winds are smoothe… Show more

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Cited by 26 publications
(30 citation statements)
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References 183 publications
(331 reference statements)
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“…SO flux buoy observations suggest that only a few episodic wind extremes (> 12 m s −1 , or so) per year are responsible for most ventilation and deepening of the mixed layer (Schulz et al 2012;Ogle et al 2018;Bharti et al 2019;Tamsitt et al 2020), and similar intermittent effects emerge in other regions and model studies as well (Giglio et al 2017;Whitt et al 2019). Because the strength of mixing is also sensitive to the ocean mixed-layer stratification, it remains unclear when mixed-layer ventilation is more sensitive to mechanical wind forcing and when it is more sensitive Without any prior averaging, the hourly and 0.25 • data are divided into 5-day chunks starting on 1 January each year.…”
Section: Introductionmentioning
confidence: 87%
“…SO flux buoy observations suggest that only a few episodic wind extremes (> 12 m s −1 , or so) per year are responsible for most ventilation and deepening of the mixed layer (Schulz et al 2012;Ogle et al 2018;Bharti et al 2019;Tamsitt et al 2020), and similar intermittent effects emerge in other regions and model studies as well (Giglio et al 2017;Whitt et al 2019). Because the strength of mixing is also sensitive to the ocean mixed-layer stratification, it remains unclear when mixed-layer ventilation is more sensitive to mechanical wind forcing and when it is more sensitive Without any prior averaging, the hourly and 0.25 • data are divided into 5-day chunks starting on 1 January each year.…”
Section: Introductionmentioning
confidence: 87%
“…1D (the observations are based on all Argo profiles from the years 2000 to 2017 and published in ref. 25).…”
Section: Methodsmentioning
confidence: 99%
“…16. The winter mixed-layer depth Dw is calculated using the same definition as for the observations (25).…”
Section: [14]mentioning
confidence: 99%
“…We compare simulated and observed MLD using the definition described in Large et al (1997) that identifies the shallowest depth at which the local density gradient is as strong as the largest bulk density gradient (the value of the largest density gradient from the surface to some depth). Although other MLD definitions exist (e.g., see Holte & Talley, 2009, for a method and review), we find this density gradient method a useful approach to compare models and observations across seasons, noting that Whitt et al (2019) applied the same method to Argo data which we use as an observational benchmark. Figure 15 shows a comparison of MLD among HR, LR, and Argo-based estimates.…”
Section: 1029/2020ms002298mentioning
confidence: 99%