Abstract: A science-driven system for multi-variate analyses and interactive visualization: uncovering signals for hurricane rapid intensification and motivating machine-learning discoveries (AGU Fall Meeting 2018)

A science-driven system for multi-variate analyses and interactive visualization: uncovering signals for hurricane rapid intensification and motivating machine-learning discoveries

Svetla M Hristova-Veleva¹, Ziad S Haddad¹, Saiprasanth Bhalachandran², Peggy Li¹, Brian Knosp³, Quoc A Vu³ and Tsae-Pyng J Shen⁴, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Stanford University, Earth System Science, Palo Alto, CA, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States

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