Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations
Abstract Accurate representation of scale‐aware boundary layer similarity functions at gray‐zone resolutions is crucial for advancing boundary layer schemes. Although these functions have been extensively studied in conventional boundary layers, such as convective and sheared types, their applicatio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-04-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2024GL113337 |
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| author | Yinjun Wang Hongxiong Xu Xiangde Xu Shaofeng Liu Chunsheng Zhang Yanfeng Huo |
| author_facet | Yinjun Wang Hongxiong Xu Xiangde Xu Shaofeng Liu Chunsheng Zhang Yanfeng Huo |
| author_sort | Yinjun Wang |
| collection | DOAJ |
| description | Abstract Accurate representation of scale‐aware boundary layer similarity functions at gray‐zone resolutions is crucial for advancing boundary layer schemes. Although these functions have been extensively studied in conventional boundary layers, such as convective and sheared types, their application to tropical cyclone boundary layers (TCBLs) remains both challenging and relatively unexamined. Through large‐eddy simulations, this study assessed how scale‐dependent functions vary between TC and conventional boundary layers. The results demonstrate that the TCBL exhibits substantially different scale‐aware similarity functions compared to conventional boundary layers, with significantly higher proportions of subgrid‐scale turbulent kinetic energy at equivalent scaled resolutions in the gray zone. The differences noted above are mainly attributable to the variations in the intensity and scale of turbulence between the TCBL and conventional boundary layer in different directions. These findings contribute to a deeper understanding of TCBL and may offer valuable insights for scale‐aware boundary layer parameterization in TC models. |
| format | Article |
| id | doaj-art-a4872a6f815a4089abb21ef976e199ce |
| institution | Kabale University |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-a4872a6f815a4089abb21ef976e199ce2025-08-20T03:39:00ZengWileyGeophysical Research Letters0094-82761944-80072025-04-01528n/an/a10.1029/2024GL113337Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy SimulationsYinjun Wang0Hongxiong Xu1Xiangde Xu2Shaofeng Liu3Chunsheng Zhang4Yanfeng Huo5State Key Laboratory of Severe Weather Meteorological Science and Technology Chinese Academy of Meteorological Sciences Beijing ChinaState Key Laboratory of Severe Weather Meteorological Science and Technology Chinese Academy of Meteorological Sciences Beijing ChinaState Key Laboratory of Severe Weather Meteorological Science and Technology Chinese Academy of Meteorological Sciences Beijing ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai) School of Atmospheric Sciences Sun Yat‐sen University Zhuhai ChinaShenzhen National Climate Observatory Shenzhen ChinaAnhui Institute of Meteorological Sciences Hefei ChinaAbstract Accurate representation of scale‐aware boundary layer similarity functions at gray‐zone resolutions is crucial for advancing boundary layer schemes. Although these functions have been extensively studied in conventional boundary layers, such as convective and sheared types, their application to tropical cyclone boundary layers (TCBLs) remains both challenging and relatively unexamined. Through large‐eddy simulations, this study assessed how scale‐dependent functions vary between TC and conventional boundary layers. The results demonstrate that the TCBL exhibits substantially different scale‐aware similarity functions compared to conventional boundary layers, with significantly higher proportions of subgrid‐scale turbulent kinetic energy at equivalent scaled resolutions in the gray zone. The differences noted above are mainly attributable to the variations in the intensity and scale of turbulence between the TCBL and conventional boundary layer in different directions. These findings contribute to a deeper understanding of TCBL and may offer valuable insights for scale‐aware boundary layer parameterization in TC models.https://doi.org/10.1029/2024GL113337tropical cycloneplanetary boundary layer (PBL)scale‐aware PBL parameterizationtropical cyclone intensityatmospheric modeling |
| spellingShingle | Yinjun Wang Hongxiong Xu Xiangde Xu Shaofeng Liu Chunsheng Zhang Yanfeng Huo Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations Geophysical Research Letters tropical cyclone planetary boundary layer (PBL) scale‐aware PBL parameterization tropical cyclone intensity atmospheric modeling |
| title | Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations |
| title_full | Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations |
| title_fullStr | Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations |
| title_full_unstemmed | Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations |
| title_short | Evaluating Scale‐Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large‐Eddy Simulations |
| title_sort | evaluating scale aware boundary layer similarity functions and their mechanisms in tropical cyclone modeling using idealized large eddy simulations |
| topic | tropical cyclone planetary boundary layer (PBL) scale‐aware PBL parameterization tropical cyclone intensity atmospheric modeling |
| url | https://doi.org/10.1029/2024GL113337 |
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