Publication Date:
2019-07-13
Description:
We present the development of a deep learning model for objective estimation of tropical cyclone intensity at a higher temporal frequency, deployment of the model in production, design and implementation of the tropical cyclone monitoring and intensity estimation system and development of an interactive portal for situational awareness and evaluation of intensity estimation.
Keywords:
Earth Resources and Remote Sensing
Type:
MSFC-E-DAA-TN63448
,
American Geophysical Union (AGU) Fall Meeting; Dec 10, 2018 - Dec 14, 2018; Washington, DC; United States
Format:
application/pdf
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