Variation of surface solar radiation components from 2016 to 2020 in China: Perspective from geostationary satellite observation with a high spatiotemporal resolution

  • 0Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

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Summary

This summary is machine-generated.

China

Area Of Science

  • Atmospheric Science
  • Renewable Energy Research
  • Environmental Science

Background

  • Traditional satellite data lacks spatiotemporal resolution for solar radiation.
  • Geostationary satellite observations offer enhanced data granularity.

Purpose Of The Study

  • Investigate spatiotemporal variations of solar radiation in China (2016-2020).
  • Assess solar energy resource potential.
  • Analyze factors influencing solar radiation, including air pollution and climate patterns.

Main Methods

  • Utilized high-resolution CARE (China Aerosol Remote Sensing) data.
  • Employed multivariate analysis and cluster analysis.
  • Examined correlations between solar radiation, PM2.5, and atmospheric circulation patterns like El Niño.

Main Results

  • Solar radiation shows an upward trend across most of China.
  • Shortwave radiation negatively correlates with PM2.5, suggesting air quality improvements enhance solar potential.
  • Western China is identified as prime for solar energy development; other regions face utilization constraints.

Conclusions

  • China's air pollution control measures indirectly boost photovoltaic potential.
  • Understanding solar radiation dynamics is vital for energy policy and carbon neutrality goals.
  • Atmospheric phenomena like El Niño influence regional solar intensity.

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