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Using Deep Learning for Tropical Cyclone Intensity EstimationNo abstract available
Document ID
20170011716
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Miller, J. J. (Alabama Univ. Huntsville, AL, United States)
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL, United States)
Berendes, Todd (Alabama Univ. Huntsville, AL, United States)
Date Acquired
December 13, 2017
Publication Date
December 11, 2017
Subject Category
Meteorology And Climatology
Report/Patent Number
MSFC-E-DAA-TN49822
Meeting Information
Meeting: American Geophysical Union (AGU) Meeting
Location: New Orleans, LA
Country: United States
Start Date: December 11, 2017
End Date: December 15, 2017
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Tropical Cyclone Intensity Estimatio
Deep Learning

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