Archive/Analysis of Spatiotemporal Variation Characteristics and Impact Mechanisms of Gales in the South China Sea from 1995 to 2024
Analysis of Spatiotemporal Variation Characteristics and Impact Mechanisms of Gales in the South China Sea from 1995 to 2024
Fei Zhao, Lei Li, Pak Wai Chan
19 mai 2026
en

Abstract

Based on ERA5 reanalysis data, best-track data of tropical cyclones, and satellite nighttime light data from 1995 to 2024, this study employs a statistical composite method to analyse spatiotemporal evolution characteristics and impact mechanisms of gale events in the South China Sea. The results indicate: ① The gale days exhibit a pattern of ‘high in the northeast and southwest, low in the middle’ with three high-value regions located in the Taiwan Strait, the Bashi Strait, and the offshore region southeast of Vietnam, where the average wind speed at the centres reaches 8 m/s. Maximum wind speeds show a ‘high in the north, low in the south’ pattern, with the dividing line near 10° N. The number of gale days peaks in winter, while maximum wind speeds are higher in summer and autumn than in winter and spring. ② The spatial distribution of gales is primarily influenced by the combined effects of land–sea topography and weather systems. Cold air masses in winter and spring are the dominant cause of gales in the South China Sea. Although typhoons in summer and autumn occur less frequently, they are more likely to trigger extreme gales. ③ Most regions of the South China Sea show an increasing trend in the gale days, while a few areas in the south and near Guangdong exhibit a decrease. The overall increase is primarily attributed to the intensification of the subtropical high, whereas the reduction near Guangdong is mainly due to increased surface roughness caused by urbanisation, which enhances friction and suppresses wind speeds.

IPC Classification

G06B60

Keywords

analysisspatiotemporalvariationcharacteristicsimpactmechanismsgalessouthchina19952024journalmarinescienceengineeringbasedera5reanalysisdatabest-tracktropicalcyclonessatellitenighttime
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