Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data

Simulating a typhoon’s wind field via mesoscale models is important in terms of providing not only the guidelines for urban planning and onshore/offshore constructions, but also the provision of insight into the dynamics and thermodynamics of tropical cyclone systems. Therefore, the errors that are...

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Main Authors: Shaoyuan Peng, Yichao Liu, Renge Li, Ying Wei, Pak-Wai Chan, Sunwei Li
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/13/2/158
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author Shaoyuan Peng
Yichao Liu
Renge Li
Ying Wei
Pak-Wai Chan
Sunwei Li
author_facet Shaoyuan Peng
Yichao Liu
Renge Li
Ying Wei
Pak-Wai Chan
Sunwei Li
author_sort Shaoyuan Peng
collection DOAJ
description Simulating a typhoon’s wind field via mesoscale models is important in terms of providing not only the guidelines for urban planning and onshore/offshore constructions, but also the provision of insight into the dynamics and thermodynamics of tropical cyclone systems. Therefore, the errors that are contained in simulation results were investigated in the present study, in association with large-scale meteorological patterns and localized wind conditions in the typhoon boundary layer. In detail, the full-set three-dimensional simulations of three typhoon cases were carried out in order to provide the typhoon wind fields that were required to compare with the observations that were obtained through land weather stations and offshore buoys. Although the reliability of typhoon simulations has been thoroughly investigated, the previous works mostly concentrated on the configurations and dynamic core of the model. The present study reveals, however, the influences of the characteristics of the specific weather system on the simulation’s results, which provides the foundation for the proposition of empirical corrections to improve the mesoscale simulation results of typhoon wind fields without updating the model’s algorithm.
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spelling doaj.art-be627665446d4947b6ff28fd309d64a32023-11-23T18:43:10ZengMDPI AGAtmosphere2073-44332022-01-0113215810.3390/atmos13020158Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured DataShaoyuan Peng0Yichao Liu1Renge Li2Ying Wei3Pak-Wai Chan4Sunwei Li5China Construction Science and Industry Co., Ltd., Shenzhen 100033, ChinaDelft Center of System and Control, Delft University of Technology, 2628 Delft, The NetherlandsChina Construction Science and Industry Co., Ltd., Shenzhen 100033, ChinaChina Construction Science and Industry Co., Ltd., Shenzhen 100033, ChinaHong Kong Observatory, Kowloon 999077, Hong KongInternational Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaSimulating a typhoon’s wind field via mesoscale models is important in terms of providing not only the guidelines for urban planning and onshore/offshore constructions, but also the provision of insight into the dynamics and thermodynamics of tropical cyclone systems. Therefore, the errors that are contained in simulation results were investigated in the present study, in association with large-scale meteorological patterns and localized wind conditions in the typhoon boundary layer. In detail, the full-set three-dimensional simulations of three typhoon cases were carried out in order to provide the typhoon wind fields that were required to compare with the observations that were obtained through land weather stations and offshore buoys. Although the reliability of typhoon simulations has been thoroughly investigated, the previous works mostly concentrated on the configurations and dynamic core of the model. The present study reveals, however, the influences of the characteristics of the specific weather system on the simulation’s results, which provides the foundation for the proposition of empirical corrections to improve the mesoscale simulation results of typhoon wind fields without updating the model’s algorithm.https://www.mdpi.com/2073-4433/13/2/158error featuresnumerical simulationtyphoon wind fieldslarge-scale meteorological patternlocalized wind conditions
spellingShingle Shaoyuan Peng
Yichao Liu
Renge Li
Ying Wei
Pak-Wai Chan
Sunwei Li
Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data
Atmosphere
error features
numerical simulation
typhoon wind fields
large-scale meteorological pattern
localized wind conditions
title Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data
title_full Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data
title_fullStr Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data
title_full_unstemmed Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data
title_short Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data
title_sort error features in predicting typhoon winds a case study comparing simulated and measured data
topic error features
numerical simulation
typhoon wind fields
large-scale meteorological pattern
localized wind conditions
url https://www.mdpi.com/2073-4433/13/2/158
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AT rengeli errorfeaturesinpredictingtyphoonwindsacasestudycomparingsimulatedandmeasureddata
AT yingwei errorfeaturesinpredictingtyphoonwindsacasestudycomparingsimulatedandmeasureddata
AT pakwaichan errorfeaturesinpredictingtyphoonwindsacasestudycomparingsimulatedandmeasureddata
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