Challenging Vertical Turbulence Mixing Schemes in a Tidally Energetic Environment: 1. 3‐D Shelf‐Sea Model Assessment. Issue 8 (31st August 2019)

• Record Type: Journal Article
• Authors: Luneva, Maria V.; Wakelin, Sarah; Holt, Jason T.; Inall, Mark E.; Kozlov, Igor E.; Palmer, Matthew R.; Toberman, Matthew; Zubkova, Evgenia V.; Polton, Jeff A.
• Is Part Of: Journal of geophysical research. Volume 124:Issue 8(2019)
• Page Start: 6360
• Page End: 6387
• Publication Date: 2019-08-31
• Subjects: turbulence closure assessment -- 3‐D modeling -- pycnocline mixing; Oceanography -- Periodicals; 551.4605
• DOI: 10.1029/2018JC014307
• Languages: English
• ISSNs: 2169-9275

Abstract

Abstract: Mixing in the ocean and shelf seas is critical for the vertical distribution of dynamically active properties, such as density and biogeochemical tracers. Eight different decadal simulations are used to assess the skill of vertical turbulent mixing schemes (TMS) in a 3‐D regional model of tidally active shelf seas. The TMS differ in the type of stability functions used and in the Ozmidov/Deardorff/Galperin limiter of the turbulence length scales. We review the dependence of the critical Richardson and Prandtl numbers to define the "diffusiveness" of the TMS. The skill in representing bias and variability of stratification profiles is assessed with five different metrics: surface and bottom temperatures and pycnocline depth, thickness, and strength. The assessment is made against hydrography from three data sets (28, 000 profiles in total). Bottom and surface temperatures are found to be as sensitive to TMS choice as to horizontal resolution or heat flux formulation, as reported in other studies. All TMS underrepresent the pycnocline depth and benthic temperatures. This suggests physical processes are missing from the model, and these are discussed. Different TMSs show the best results for different metrics, and there is no outright winner. Simulations coupled with an ecosystem model show the choice of TMS strongly affects the ecosystem behavior: shifting the timing of peak chlorophyll by 1 month, showing regional chlorophyll differences of order 100%, and redistributing the production of chorophyll between the pycnocline and mixed layer. Key Points: Turbulence closures are assessed in 3‐D simulations in tidally energetic environment In the shelf seas, all closures simulate a seasonal pycnocline that is too shallow and bottom temperatures that are too warm; there is no clear winner out of the choice of closures Choice of turbulence closure affects the ecosystem behavior, shifting the timing of peak chlorophyll by 1 month and regional chlorophyll differences of order 100%