Glows-net: a deep learning framework for retrieving global sea surface wind speed using spaceborne gnss-r data

HIGHLIGHTS

• who: Jinwei Bu et al. from the Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China have published the research work: GloWS-Net: A Deep Learning Framework for Retrieving Global Sea Surface Wind Speed Using Spaceborne GNSS-R Data, in the Journal: (JOURNAL) of 16/Nov/2022
• what: Ocean monitoring is the main objective of the recently launched Cyclone GNSS (CYGNSS). The authors propose an improved deep learning network framework to retrieve speed using spaceborne GNSSu2011R data named conu2011 siders the fusion of auxiliary information including ocean swell significant wave height . . .
  

   

  

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