Deep learning-based effective fine-grained weather forecasting model

HIGHLIGHTS

• who: Pradeep Hewage from the Department of Computer Science, Edge Hill University, Ormskirk, Lancashire , QP, UK have published the paper: Deep learning-based effective fine-grained weather forecasting model, in the Journal: (JOURNAL)
• what: The authors propose a novel lightweight data-driven weather forecasting model by exploring temporal modelling approaches of long short-term memory (LSTM) and temporal convolutional networks (TCN) and compare its performance with the existing classical machine learning approaches statistical forecasting approaches and a dynamic ensemble method as well as the well-established weather research and forecasting (WRF) NWP model. Weather information . . .
  

   

  

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