A machine learning approach for air-quality forecast by integrating gnss radio occultation observation and weather modeling

HIGHLIGHTS

• who: Wei Li et al. from the National Space Science Center, Chinese Academy of Sciences (NSSC/CAS), Beijing, China School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China have published the article: A Machine Learning Approach for Air-Quality Forecast by Integrating GNSS Radio Occultation Observation and Weather Modeling, in the Journal: Atmosphere 2023, 14, 58. of /2023/
• what: The authors propose an innovative data-driven framework for air quality index (AQI) prediction by integrating GNSS radio (GNSS-RO) and modeling. The authors investigate further the effects of different models . . .
  

   

  

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