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Tropical Cyclone Intensity Estimation Using Deep Convolutional Neural NetworksOverview: Deep learning and Convolutional Neural Network (CNN); CNN for Tropical Cyclone Intensity Estimation; Preliminary results; Work in progress.
Document ID
20180002953
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL, United States)
Cecil, Dan (NASA Marshall Space Flight Center Huntsville, AL, United States)
Ramachandran, Rahul (NASA Marshall Space Flight Center Huntsville, AL, United States)
Miller, J. J. (Alabama Univ. Huntsville, AL, United States)
Date Acquired
May 16, 2018
Publication Date
April 20, 2018
Subject Category
Meteorology And Climatology
Report/Patent Number
MSFC-E-DAA-TN54671
Report Number: MSFC-E-DAA-TN54671
Meeting Information
Meeting: Conference on Hurricanes and Tropical Meterology
Location: Ponte Vedra, FL
Country: United States
Start Date: April 16, 2018
End Date: April 20, 2018
Sponsors: American Meteorological Society
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Hurricane intensity
Deep learning
Earth science

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