Using gan neural networks for super-resolution reconstruction of temperature fields

HIGHLIGHTS

• who: Zhiwei Jiang from the School of Artificial Intelligence, Nanjing University of Information and Technology, Nanjing, China have published the Article: Using GAN Neural Networks for Super-Resolution Reconstruction of Temperature Fields, in the Journal: (JOURNAL)
• what: The authors propose a GAN network structure and use the ERA5-Land hourly dataset to scale up 2 m temperature field data with a resolution of 0:1 0:1. The authors show the model network structure for a generator and a discriminator, followed by an introduction to the network`s submodules such as residual structure, recurrent structure . . .
  

   

  

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