Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China

Based on historical tropical cyclone (TC) tracking data and wind data from observation stations, four comparison experiments were designed that considered TC translation speed similarity and five new ensemble schemes in an improved Dynamical-Statistical-Analog Ensemble Forecast (DSAEF) model for Lan...

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Main Authors: Zhizhong Su, Lifang Li, Fumin Ren, Jing Zhu, Chunxia Liu, Qilin Wan, Qiongbo Sun, Li Jia
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/5/888
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author Zhizhong Su
Lifang Li
Fumin Ren
Jing Zhu
Chunxia Liu
Qilin Wan
Qiongbo Sun
Li Jia
author_facet Zhizhong Su
Lifang Li
Fumin Ren
Jing Zhu
Chunxia Liu
Qilin Wan
Qiongbo Sun
Li Jia
author_sort Zhizhong Su
collection DOAJ
description Based on historical tropical cyclone (TC) tracking data and wind data from observation stations, four comparison experiments were designed that considered TC translation speed similarity and five new ensemble schemes in an improved Dynamical-Statistical-Analog Ensemble Forecast (DSAEF) model for Landfalling Typhoon Gale (LTG), which was tested in terms of forecast capability in South China. The results showed that the improved DSAEF_LTG model with the incorporation of TC translation speed and a new ensemble scheme could improve the forecast threat score (TS) and reduce both the false alarm ratio and the missing ratio in comparison with corresponding values attained before the improvement. The TS of the new ensemble scheme model (DLTG_3) was 0.34 at threshold above Beaufort Scale 7, which was 31% better than that of the unimproved model (DLTG_1). At a threshold above Beaufort Scale 10, the TS of DLTG_3 indicated even greater improvement, reaching 0.25, i.e., 127% higher than that of DLTG_1. The results of the experiments illustrated the marked improvement achievable when using the new ensemble scheme. The reasons for the differences in the DSAEF_LTG model forecasts before and after the introduction of TC translation speed and the new ensemble scheme were analyzed for the cases of Typhoon Haima and Typhoon Hato.
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spelling doaj.art-50ea6ea0dedd43ccb27603ccdf1a2a7c2023-11-18T00:26:25ZengMDPI AGAtmosphere2073-44332023-05-0114588810.3390/atmos14050888Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South ChinaZhizhong Su0Lifang Li1Fumin Ren2Jing Zhu3Chunxia Liu4Qilin Wan5Qiongbo Sun6Li Jia7Xiamen Key Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen 361012, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaXiamen Key Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen 361012, ChinaGuangzhou Institute of Tropical and Marine Meteorology, Guangzhou 510080, ChinaGuangzhou Institute of Tropical and Marine Meteorology, Guangzhou 510080, ChinaXiamen Key Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen 361012, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaBased on historical tropical cyclone (TC) tracking data and wind data from observation stations, four comparison experiments were designed that considered TC translation speed similarity and five new ensemble schemes in an improved Dynamical-Statistical-Analog Ensemble Forecast (DSAEF) model for Landfalling Typhoon Gale (LTG), which was tested in terms of forecast capability in South China. The results showed that the improved DSAEF_LTG model with the incorporation of TC translation speed and a new ensemble scheme could improve the forecast threat score (TS) and reduce both the false alarm ratio and the missing ratio in comparison with corresponding values attained before the improvement. The TS of the new ensemble scheme model (DLTG_3) was 0.34 at threshold above Beaufort Scale 7, which was 31% better than that of the unimproved model (DLTG_1). At a threshold above Beaufort Scale 10, the TS of DLTG_3 indicated even greater improvement, reaching 0.25, i.e., 127% higher than that of DLTG_1. The results of the experiments illustrated the marked improvement achievable when using the new ensemble scheme. The reasons for the differences in the DSAEF_LTG model forecasts before and after the introduction of TC translation speed and the new ensemble scheme were analyzed for the cases of Typhoon Haima and Typhoon Hato.https://www.mdpi.com/2073-4433/14/5/888DSAEF_LTG modellandfalling typhoon galeparameters improvementSouth China
spellingShingle Zhizhong Su
Lifang Li
Fumin Ren
Jing Zhu
Chunxia Liu
Qilin Wan
Qiongbo Sun
Li Jia
Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China
Atmosphere
DSAEF_LTG model
landfalling typhoon gale
parameters improvement
South China
title Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China
title_full Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China
title_fullStr Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China
title_full_unstemmed Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China
title_short Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China
title_sort study of landfalling typhoon potential maximum gale forecasting in south china
topic DSAEF_LTG model
landfalling typhoon gale
parameters improvement
South China
url https://www.mdpi.com/2073-4433/14/5/888
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