Development of technology for identification of climate patterns during floods using global climate model data with convolutional neural networks

HIGHLIGHTS

• who: Jaewon Jung and Heechan Han from the Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang, Republic of Korea Department of Civil Engineering, Chosun University, Gwangju, Republic of Korea have published the paper: Development of Technology for Identification of Climate Patterns during Floods Using Global Climate Model Data with Convolutional Neural Networks, in the Journal: Water 2022, 14, 4045. of 31/Dec/2021
• what: The authors developed a deep learning-based model to learn climate patterns during floods and determine flood-induced climate patterns using a convolutional . . .
  

   

  

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