2019
DOI: 10.1029/2019jc015370
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Submesoscales Enhance Storm‐Driven Vertical Mixing of Nutrients: Insights From a Biogeochemical Large Eddy Simulation

Abstract: Storms deepen the mixed layer, entrain nutrients from the pycnocline, and fuel phytoplankton blooms in midlatitude oceans. However, the effects of oceanic submesoscale (0.1-10 km horizontal scale) physical heterogeneity on the physical-biogeochemical response to a storm are not well understood. Here, we explore these effects numerically in a Biogeochemical Large Eddy Simulation (BLES), where a four-component biogeochemical model is coupled with a physical model that resolves some submesoscales and some smaller… Show more

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Cited by 27 publications
(19 citation statements)
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References 89 publications
(200 reference statements)
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“…2 ). Although vertical diffusivities can vary significantly in space and time, the stratification strength and vertical diffusivities for our field study are consistent with independent estimates from the NEMURO-GOM biogeochemical model and with previously reported values 26 .…”
Section: Resultssupporting
confidence: 92%
“…2 ). Although vertical diffusivities can vary significantly in space and time, the stratification strength and vertical diffusivities for our field study are consistent with independent estimates from the NEMURO-GOM biogeochemical model and with previously reported values 26 .…”
Section: Resultssupporting
confidence: 92%
“…. Although vertical diffusivities can vary significantly in space and time, the stratification strength and vertical diffusivities for our field study are consistent with independent estimates from the NEMURO-GOM biogeochemical model and with previously reported values26 .As vertical mixing of nitrate and N2-fixation individually provide enough N to support<1% of sinking PON flux in our Lagrangian experiments, locally sourced new N appears insufficient to balance the measured rates of PON export. Instead, a significant role of lateral transport of organic material is suggested by the rapid horizontal displacements in our drifter experiments (up to 60 km d -1 ) and the strong coastal-offshore particulate gradients in the GoM (Supplemental Figure 3-4).…”
supporting
confidence: 90%
“…Processes that are poorly represented or excluded in these simulations may cause the sensitivity of the MLD to subseasonal winds to deviate from the results reported above in the real ocean or other simulations. For example, subseasonal winds may modify Langmuir (Fan and Griffies, ; Li et al, ; Van Roekel et al, ) and submesoscale (Fox‐Kemper et al, ; Thomas et al, , ; Whitt, Taylor, & Lévy, ; Whitt, Lévy, & Taylor, , ; Whitt and Taylor, ) turbulence, neither of which are represented in the models used in this study. In addition, subseasonal winds modify inertial oscillations and internal waves, which are only marginally represented in the global model (see sections 2.2.2 and 2.3.2).…”
Section: Discussionmentioning
confidence: 99%