Modifying the Mixed Layer Eddy Parameterization to Include Frontogenesis Arrest by Boundary Layer Turbulence

Abstract

Current submesoscale restratification parameterizations, which help set mixed layer depth in global climate models, depend on a simplistic scaling of frontal width shown to be unreliable in several circumstances. Observations and theory indicate that frontogenesis is common, but stable frontal widths arise in the presence of turbulence and instabilities that participate in keeping fronts at the scale observed, the arrested scale. Here we propose a new scaling law for arrested frontal width as a function of turbulent fluxes via the turbulent thermal wind (TTW) balance. A variety of large-eddy simulations (LES) of strain-induced fronts and TTW-induced filaments are used to evaluate this scaling. Frontal width given by boundary layer parameters drawn from observations in the General Ocean Turbulence Model (GOTM) are found qualitatively consistent with the observed range in regions of active submesoscales. The new arrested front scaling is used to modify the mixed layer eddy restratification parameterization commonly used in coarse-resolution climate models. Results in CESM-POP2 reveal the climate model’s sensitivity to the parameterization update and changes in model biases. A comprehensive multimodel study is in planning for further testing.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2023
Source ID
10.1175/jpo-d-21-0297.1

Entities

People

  • Abigail S. Bodner
  • Baylor Fox-Kemper
  • James C. McWilliams
  • Jihai Dong
  • Leah Johnson
  • Luke Van Roekel
  • Paul S. Hall
  • Peter P Sullivan

Organizations

  • Brown University
  • Gulf of Mexico Research Initiative
  • Nanjing University of Information Science and Technology
  • National Center for Atmospheric Research
  • Office of Naval Research
  • University of California
  • University of Washington

Tags

Fields of Study

  • Environmental science
  • Physics

Readers

  • Materials Science (Mechanical Engineering).
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers