Forecasting and identifying the meteorological and hydrological conditions favoring the occurrence of severe hazes in beijing and shanghai using deep learning

HIGHLIGHTS

• who: Atmos. Chem. Phys. et al. from the Laboratoire d'Aerologie, CNRS and University Toulouse III, Paul Sabatier, Edouard Belin, Toulouse, France have published the Article: Forecasting and identifying the meteorological and hydrological conditions favoring the occurrence of severe hazes in Beijing and Shanghai using deep learning, in the Journal: (JOURNAL)
• what: The major purpose of this study is to advance the fundamental knowledge about the weather conditions favoring the occurrence of hazes and, through an in-depth analysis on the forecasting results, to identify the limit of such a machine and thus to provide . . .
  

   

  

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