2021
DOI: 10.1029/2020gl090703
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Vertical Eddy Diffusivity Parameterization Based on a Large‐Eddy Simulation and Its Impact on Prediction of Hurricane Landfall

Abstract: Tropical cyclones (TCs), especially landfalling TCs, are one of the most severe meteorological disasters and can cause significant casualties and economic loss; thus, their accurate prediction is vital. Previous studies have confirmed that vertical eddy diffusivity (VED) in the planetary boundary layer (PBL) controls the evolution of the hurricane PBL and impacts the evolution of TCs (e.g.,

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Cited by 12 publications
(8 citation statements)
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“…Although the finest grid spacing of 1 km in this study is sufficient to represent a wide range of dynamical phenomena in TCs down to the mesoscale, it is still one to two orders of magnitude larger than the large eddies that mix the physical quantities in the turbulent PBLs (e.g., Rotunno et al, 2009;Li & Pu, 2021;Chen & Bryan, 2021). Because of this scale gap, the turbulent mixing of the physical quantities in the PBL needs to be fully parametrized.…”
Section: Overview Of the Pbl Parametrizations For The Simulationsmentioning
confidence: 99%
“…Although the finest grid spacing of 1 km in this study is sufficient to represent a wide range of dynamical phenomena in TCs down to the mesoscale, it is still one to two orders of magnitude larger than the large eddies that mix the physical quantities in the turbulent PBLs (e.g., Rotunno et al, 2009;Li & Pu, 2021;Chen & Bryan, 2021). Because of this scale gap, the turbulent mixing of the physical quantities in the PBL needs to be fully parametrized.…”
Section: Overview Of the Pbl Parametrizations For The Simulationsmentioning
confidence: 99%
“…Although the WRF physics was from a 2013 version, key physics for rolls is the PBL parameterization, which in our case was YSU. We are confident that YSU is viable for our analysis since it continues to be used in WRF, at grid resolutions similar to that used herein, to study small-scale vortices in HBLs (e.g., Wu et al [42]) as well as for realistic representations of tropical cyclone (TC) surface wind fields [43][44][45]. Cloud physics was modeled using WSM6 6-class microphysics with graupel [46].…”
Section: Archived Weather Research and Forecasting (Wrf) Simulationmentioning
confidence: 99%
“…These describe turbulent mixing and related fluxes in terms of the vertical gradient of the mean quantities, which control the feedbacks involving momentum, moisture, and heat between the surface and atmosphere. Numerical and observational studies have sought to constrain the turbulent mixing parameterizations in a numerical weather prediction (NWP) model for forecasting both TC track and intensification events over the ocean [6][7][8][9][10][11][12][13][14][15][16]. For example, Nolan et al [17], Kepert [18], and Zhang et al [19] found that improved estimations of the eddy diffusivity coefficient in the hurricane boundary layer are beneficial for hurricane prediction over the ocean.…”
Section: Introductionmentioning
confidence: 99%