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1. Topographic Influences on the Wind-Driven Exchange between Marginal Seas and the Open Ocean

   https://doi.org/10.1175/JPO-D-21-0058.1  

   ( December 2021 , Journal of Physical Oceanography)

   The wind-driven exchange through complex ridges and islands between marginal seas and the open ocean is studied using both numerical and analytical models. The models are forced by a steady, spatially uniform northward wind stress intended to represent the large-scale, low-frequency wind patterns typical of the seasonal monsoons in the western Pacific Ocean. There is an eastward surface Ekman transport out of the marginal sea and westward geostrophic inflows into the marginal sea. The interaction between the Ekman transport and an island chain produces strong baroclinic flows along the island boundaries with a vertical depth that scales with the ratio of the inertial boundary layer thickness to the baroclinic deformation radius. The throughflows in the gaps are characterized by maximum transport in the center gap and decreasing transports toward the southern and northern tips of the island chain. An extended island rule theory demonstrates that throughflows are determined by the collective balance between viscosity on the meridional boundaries and the eastern side boundary of the islands. The outflowing transport is balanced primarily by a shallow current that enters the marginal sea along its equatorward boundary. The islands can block some direct exchange and result in a wind-driven overturning cell within the marginal sea, but this is compensated for by eastward zonal jets around the southern and northern tips of the island chain. Topography in the form of a deep slope, a ridge, or shallow shelves around the islands alters the current pathways but ultimately is unable to limit the total wind-driven exchange between the marginal sea and the open ocean.

    

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2. Wind Speed and Sea State Dependencies of Air-Sea Gas Transfer: Results From the High Wind Speed Gas Exchange Study (HiWinGS): AIR-SEA GAS TRANSFER DURING HiWinGS

   https://doi.org/10.1002/2017JC013181  

   Blomquist, B. W. ; Brumer, S. E. ; Fairall, C. W. ; Huebert, B. J. ; Zappa, C. J. ; Brooks, I. M. ; Yang, M. ; Bariteau, L. ; Prytherch, J. ; Hare, J. E. ; et al ( October 2017 , Journal of Geophysical Research: Oceans)
3. Incorporating a stochastic data-driven inflow model for uncertainty quantification of wind turbine performance: Incorporating a stochastic data-driven inflow model for uncertainty quantification of wind turbine performance

   https://doi.org/10.1002/we.2108  

   Guo, Q. ; Ganapathysubramanian, B. ( September 2017 , Wind Energy)
4. Local diurnal wind-driven variability and upwelling in a small coastal embayment: LOCAL WIND-DRIVEN VARIABILITY

   https://doi.org/10.1002/2016JC012466  

   Walter, Ryan K. ; Reid, Emma C. ; Davis, Kristen A. ; Armenta, Kevin J. ; Merhoff, Kevin ; Nidzieko, Nicholas J. ( February 2017 , Journal of Geophysical Research: Oceans)
5. The Intensifying Role of High Wind Speeds on Air‐Sea Carbon Dioxide Exchange

   https://doi.org/10.1029/2020GL090713  

   Gu, Yuanyuan ; Katul, Gabriel G. ; Cassar, Nicolas ( March 2021 , Geophysical Research Letters)

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