Using Machine Learning Techniques to Improve Microwave Remote Sensing of Arctic Water Vapour

  • Henschel, Colleen Cl C.C. (PI)

Project: Research project

Project Details

Description

Microwave Remote Sensing, Arctic, Atmospheric measurements, Water vapour, Machine Learning, Artificial Neural Networks, Optimal Estimation

StatusActive
Effective start/end date1/1/23 → …

Funding

  • Natural Sciences and Engineering Research Council of Canada: US$25,937.00

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Physics and Astronomy(all)
  • Chemistry(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)
  • Management of Technology and Innovation

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