A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation

Abstract The horizontal turbulence parameterization is vital for the intensity and structure forecasting of tropical cyclone (TC) in numerical weather prediction (NWP) models. The default two‐dimensional (2D) standard Smagorinsky model with a single universal constant in Weather and Research Forecas...

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Main Authors: Xu Zhang, Qijun Huang, Yulong Ma
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Geophysical Research Letters
Subjects:
Online Access:https://doi.org/10.1029/2024GL110392
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author Xu Zhang
Qijun Huang
Yulong Ma
author_facet Xu Zhang
Qijun Huang
Yulong Ma
author_sort Xu Zhang
collection DOAJ
description Abstract The horizontal turbulence parameterization is vital for the intensity and structure forecasting of tropical cyclone (TC) in numerical weather prediction (NWP) models. The default two‐dimensional (2D) standard Smagorinsky model with a single universal constant in Weather and Research Forecasting (WRF) model has been proven to be over dissipative for TC, leading to underprediction of TC intensity. This study provides the first attempt to implement the physically based 2D dynamic Smagorinsky model (DSM) for horizontal turbulence parameterization in WRF model for TC forecasts. The DSM dynamically computes the Smagorinsky coefficient as a function of the resolved flow during the simulation, avoiding the need to prescribe the coefficient a prior. The test results of the DSM in a TC NWP model show that the DSM can significantly improve the wind intensity forecasts compared to the standard Smagorinsky model.
format Article
id doaj-art-cdb7f5f5c9de4b9da935f19ee54824f1
institution DOAJ
issn 0094-8276
1944-8007
language English
publishDate 2024-10-01
publisher Wiley
record_format Article
series Geophysical Research Letters
spelling doaj-art-cdb7f5f5c9de4b9da935f19ee54824f12025-08-20T03:12:51ZengWileyGeophysical Research Letters0094-82761944-80072024-10-015119n/an/a10.1029/2024GL110392A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone SimulationXu Zhang0Qijun Huang1Yulong Ma2Shanghai Typhoon Institute China Meteorological Administration Shanghai ChinaShanghai Typhoon Institute China Meteorological Administration Shanghai ChinaGuangdong‐Hong kong‐Macau Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting Shenzhen Institute of Meteorological Innovation Shenzhen ChinaAbstract The horizontal turbulence parameterization is vital for the intensity and structure forecasting of tropical cyclone (TC) in numerical weather prediction (NWP) models. The default two‐dimensional (2D) standard Smagorinsky model with a single universal constant in Weather and Research Forecasting (WRF) model has been proven to be over dissipative for TC, leading to underprediction of TC intensity. This study provides the first attempt to implement the physically based 2D dynamic Smagorinsky model (DSM) for horizontal turbulence parameterization in WRF model for TC forecasts. The DSM dynamically computes the Smagorinsky coefficient as a function of the resolved flow during the simulation, avoiding the need to prescribe the coefficient a prior. The test results of the DSM in a TC NWP model show that the DSM can significantly improve the wind intensity forecasts compared to the standard Smagorinsky model.https://doi.org/10.1029/2024GL110392tropical cyclonehorizontal diffusionintensity forecastdynamic Smagorinsky model
spellingShingle Xu Zhang
Qijun Huang
Yulong Ma
A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation
Geophysical Research Letters
tropical cyclone
horizontal diffusion
intensity forecast
dynamic Smagorinsky model
title A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation
title_full A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation
title_fullStr A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation
title_full_unstemmed A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation
title_short A Dynamic Smagorinsky Model for Horizontal Turbulence Parameterization in Tropical Cyclone Simulation
title_sort dynamic smagorinsky model for horizontal turbulence parameterization in tropical cyclone simulation
topic tropical cyclone
horizontal diffusion
intensity forecast
dynamic Smagorinsky model
url https://doi.org/10.1029/2024GL110392
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AT yulongma adynamicsmagorinskymodelforhorizontalturbulenceparameterizationintropicalcyclonesimulation
AT xuzhang dynamicsmagorinskymodelforhorizontalturbulenceparameterizationintropicalcyclonesimulation
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