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April 24, 2026Atmosphere0 citationsOpen Access

Assessment of Wind Energy Resources at 100 m in the South China Sea: Climatology and Interdecadal Variation

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HXHai XuJLJingchao LongZLZhengyao Lu

Key Points

  • The research aims to assess the wind energy potential and its changes over time in the South China Sea.
  • Utilized ERA5 100 m wind data from 1944 to 2023, validated with ASCAT observations.
  • Conducted empirical orthogonal function analysis to evaluate variance in wind power density.
  • Examined the influence of sea surface temperature anomalies on wind resource variation.
  • High wind power density and long wind availability were identified, particularly in regions southwest of Taiwan and southeast of Vietnam.
  • There is a significant increasing trend in wind power density since 1990, with empirical data indicating it peaks in winter.
  • Observed anomalous climatic patterns correlate with interannual variations in wind energy resources.

Abstract

Wind energy is an important form of clean energy, and its rational utilization represents a crucial solution for mitigating the energy crisis and global warming. In this study, wind energy potential and its long-term changes in the South China Sea (SCS) are evaluated using ERA5 100 m wind data from 1944 to 2023, validated against ASCAT observations. High wind speeds and high wind power density (WPD) are concentrated southwest of Taiwan and southeast of Vietnam. Annual wind availability exceeds 6457 h across most regions, reaching up to 8283 h in optimal locations. WPD and capacity factor peak in winter (up to 2.4 × 108 Wh·m−2 and >50% capacity factor), with the most stable conditions occurring in the southwestern Taiwan Strait, southeast of the Pearl River Delta, and the Beibu Gulf. Empirical orthogonal function analysis reveals that the first mode of winter WPD accounts for 65.7% of the total variance, with a statistically significant increasing trend since 1990. The interannual variation in wind energy resources in the SCS during winter is controlled by the combined effects of sea surface temperature (SST) anomalies in the tropical Pacific and the Arctic Barents Sea. Specifically, in the years with strong wind anomalies in the SCS, mega-La Niña-type SST patterns in the tropical Pacific trigger anomalous cyclonic circulation in the SCS and the eastern Philippine Sea, while warm anomalies in the Arctic Barents Sea surface drive a wave-like structure of “anticyclone–cyclone–anticyclone” from Siberia to South China. The coupling of the two systems jointly promotes the strengthening of the South China Sea monsoon, leading to increased wind speeds and elevated WPD in the northern SCS. These findings provide a scientific basis for wind farm siting and long-term operational planning in the region.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69eb0bc7553a5433e34b5634https://doi.org/10.3390/atmos17040425
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