Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations

This study aimed to find a boundary layer parameter scheme suitable for typhoons in the South China Sea based on a comparison with the aircraft detection data from Typhoon Nida (2016). We simulated the typhoon boundary layer wind field in different boundary layer schemes, such as YSU, MYNN, BouLac,...

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Main Authors: Chaoyong Tu, Zhongkuo Zhao, Mingsen Zhou, Weibiao Li, Min Xie, Changjiang Ni, Shumin Chen
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/9/1403
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author Chaoyong Tu
Zhongkuo Zhao
Mingsen Zhou
Weibiao Li
Min Xie
Changjiang Ni
Shumin Chen
author_facet Chaoyong Tu
Zhongkuo Zhao
Mingsen Zhou
Weibiao Li
Min Xie
Changjiang Ni
Shumin Chen
author_sort Chaoyong Tu
collection DOAJ
description This study aimed to find a boundary layer parameter scheme suitable for typhoons in the South China Sea based on a comparison with the aircraft detection data from Typhoon Nida (2016). We simulated the typhoon boundary layer wind field in different boundary layer schemes, such as YSU, MYNN, BouLac, and Shin-Hong, and with a no-boundary-layer parametrization scheme. The results were as follows: (1) In the eye and eyewall area, the YSU and MYNN schemes could better simulate the east–west wind characteristics and the YSU scheme could also simulate the jet current of the southerly wind component in the boundary layer in the eyewall. (2) Compared with the eye area, the easterly wind in the eyewall area was strong, and the overall vertical movement was weak. (3) The YSU and MYNN schemes had similar turbulent kinetic energies that were also similar to those from aircraft observations; the turbulent kinetic energy in the simulations of several schemes in the boundary layer was evidently lower than that in the aircraft observations. Thus, the MYNN and the YSU schemes yielded better simulations for the eye and eyewall areas, and the YSU scheme was more similar to the boundary layer observations.
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spelling doaj.art-0e707a0107ff4fcbb9c12c9033331aa82023-11-19T09:30:49ZengMDPI AGAtmosphere2073-44332023-09-01149140310.3390/atmos14091403Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft ObservationsChaoyong Tu0Zhongkuo Zhao1Mingsen Zhou2Weibiao Li3Min Xie4Changjiang Ni5Shumin Chen6Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, ChinaGuangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510080, ChinaGuangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510080, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, ChinaGuangxi Climate Center, Nanning 530000, ChinaPlateau Atmospheres and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, ChinaThis study aimed to find a boundary layer parameter scheme suitable for typhoons in the South China Sea based on a comparison with the aircraft detection data from Typhoon Nida (2016). We simulated the typhoon boundary layer wind field in different boundary layer schemes, such as YSU, MYNN, BouLac, and Shin-Hong, and with a no-boundary-layer parametrization scheme. The results were as follows: (1) In the eye and eyewall area, the YSU and MYNN schemes could better simulate the east–west wind characteristics and the YSU scheme could also simulate the jet current of the southerly wind component in the boundary layer in the eyewall. (2) Compared with the eye area, the easterly wind in the eyewall area was strong, and the overall vertical movement was weak. (3) The YSU and MYNN schemes had similar turbulent kinetic energies that were also similar to those from aircraft observations; the turbulent kinetic energy in the simulations of several schemes in the boundary layer was evidently lower than that in the aircraft observations. Thus, the MYNN and the YSU schemes yielded better simulations for the eye and eyewall areas, and the YSU scheme was more similar to the boundary layer observations.https://www.mdpi.com/2073-4433/14/9/1403typhoonboundary layer schemenumerical simulationaircraft observation
spellingShingle Chaoyong Tu
Zhongkuo Zhao
Mingsen Zhou
Weibiao Li
Min Xie
Changjiang Ni
Shumin Chen
Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations
Atmosphere
typhoon
boundary layer scheme
numerical simulation
aircraft observation
title Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations
title_full Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations
title_fullStr Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations
title_full_unstemmed Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations
title_short Assessment of Different Boundary Layer Parameterization Schemes in Numerical Simulations of Typhoon Nida (2016) Based on Aircraft Observations
title_sort assessment of different boundary layer parameterization schemes in numerical simulations of typhoon nida 2016 based on aircraft observations
topic typhoon
boundary layer scheme
numerical simulation
aircraft observation
url https://www.mdpi.com/2073-4433/14/9/1403
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AT mingsenzhou assessmentofdifferentboundarylayerparameterizationschemesinnumericalsimulationsoftyphoonnida2016basedonaircraftobservations
AT weibiaoli assessmentofdifferentboundarylayerparameterizationschemesinnumericalsimulationsoftyphoonnida2016basedonaircraftobservations
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AT changjiangni assessmentofdifferentboundarylayerparameterizationschemesinnumericalsimulationsoftyphoonnida2016basedonaircraftobservations
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