The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation
This study analyzed the deviation of the gust factor (GF) method in gust estimation and the differences in the vertical distribution of upper-level wind speed and temperature when varying deviations occurred using observed data from 11 stations in central-eastern China from January 2017 to December...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2024/9970264 |
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| _version_ | 1841561501152837632 |
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| author | Haichuan Hu Chuanhai Qian Shibo Gao |
| author_facet | Haichuan Hu Chuanhai Qian Shibo Gao |
| author_sort | Haichuan Hu |
| collection | DOAJ |
| description | This study analyzed the deviation of the gust factor (GF) method in gust estimation and the differences in the vertical distribution of upper-level wind speed and temperature when varying deviations occurred using observed data from 11 stations in central-eastern China from January 2017 to December 2020. A unified upper-level gust impact model was developed through multiple regression (GF-L) and machine learning (GF-M) methods based on data from these stations to improve gust estimation accuracy. The effectiveness of the GF, GF-L, and GF-M methods was compared using data from January 2021 to October 2022. Results showed that integrating the upper-level gust impact model into the GF method reduced underestimation and improved accuracy, with the GF-M method showing the most significant improvement. The GF-L method reduced the root mean square error by 5.1% on average compared to the GF method, while the GF-M method achieved a 9.2% reduction. The study confirmed the applicability of the unified upper-level gust impact model across different stations, with the GF-M method demonstrating better results. |
| format | Article |
| id | doaj-art-90d82bb4c1e346e6908dc6d3e2916218 |
| institution | Kabale University |
| issn | 1687-9317 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-90d82bb4c1e346e6908dc6d3e29162182025-01-03T01:34:45ZengWileyAdvances in Meteorology1687-93172024-01-01202410.1155/2024/9970264The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust EstimationHaichuan Hu0Chuanhai Qian1Shibo Gao2National Meteorological CenterNational Meteorological CenterAgronomy CollegeThis study analyzed the deviation of the gust factor (GF) method in gust estimation and the differences in the vertical distribution of upper-level wind speed and temperature when varying deviations occurred using observed data from 11 stations in central-eastern China from January 2017 to December 2020. A unified upper-level gust impact model was developed through multiple regression (GF-L) and machine learning (GF-M) methods based on data from these stations to improve gust estimation accuracy. The effectiveness of the GF, GF-L, and GF-M methods was compared using data from January 2021 to October 2022. Results showed that integrating the upper-level gust impact model into the GF method reduced underestimation and improved accuracy, with the GF-M method showing the most significant improvement. The GF-L method reduced the root mean square error by 5.1% on average compared to the GF method, while the GF-M method achieved a 9.2% reduction. The study confirmed the applicability of the unified upper-level gust impact model across different stations, with the GF-M method demonstrating better results.http://dx.doi.org/10.1155/2024/9970264 |
| spellingShingle | Haichuan Hu Chuanhai Qian Shibo Gao The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation Advances in Meteorology |
| title | The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation |
| title_full | The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation |
| title_fullStr | The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation |
| title_full_unstemmed | The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation |
| title_short | The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation |
| title_sort | gust factor models involving wind speed and temperature profiles for wind gust estimation |
| url | http://dx.doi.org/10.1155/2024/9970264 |
| work_keys_str_mv | AT haichuanhu thegustfactormodelsinvolvingwindspeedandtemperatureprofilesforwindgustestimation AT chuanhaiqian thegustfactormodelsinvolvingwindspeedandtemperatureprofilesforwindgustestimation AT shibogao thegustfactormodelsinvolvingwindspeedandtemperatureprofilesforwindgustestimation AT haichuanhu gustfactormodelsinvolvingwindspeedandtemperatureprofilesforwindgustestimation AT chuanhaiqian gustfactormodelsinvolvingwindspeedandtemperatureprofilesforwindgustestimation AT shibogao gustfactormodelsinvolvingwindspeedandtemperatureprofilesforwindgustestimation |