Study of Landfalling Typhoon Potential Maximum Gale Forecasting in South China

Author:

Su Zhizhong12,Li Lifang34,Ren Fumin3,Zhu Jing12,Liu Chunxia4,Wan Qilin4,Sun Qiongbo1,Jia Li3

Affiliation:

1. Xiamen Key Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen 361012, China

2. Fujian Key Laboratory of Severe Weather, Fujian Meteorological Bureau, Fuzhou 350001, China

3. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China

4. Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou 510080, China

Abstract

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.

Funder

Guangdong Province Key Research and Development Project

Shenzhen Science and Technology Q11 Project

Xiamen Science and Technology Program

Natural Science Foundation of Fujian Province, China

Major Science and Technology Projects of Fujian Key Laboratory of Severe Weather

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference33 articles.

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3. Powell, M.D., and Reinhold, T.A. (2011). Predicting Tropical Cyclone Destructive Potential by Integrated Kinetic Energy According to the Powell/Reinhold Scale. (US7970543 B2), U.S. Patent.

4. Model Simulation of StormSurge in the Northwestern South China Sea Under the Impact of Sea Level Rise: A Case Study of Super Typhoon Rammasun (2014);Zhou;Front. Mar. Sci.,2022

5. Forecast and service performance on rapidly intensification process of Typhoons Rammasun (2014) and Hato (2017);Wang;Trop. Cyclone Res. Rev.,2019

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