Web: http://arxiv.org/abs/2209.06901

Sept. 16, 2022, 1:11 a.m. | Rikhi Bose, Adam L. Pintar, Emil Simiu

cs.LG updates on arXiv.org arxiv.org

The objective of this paper is to employ machine learning (ML) and deep
learning (DL) techniques to obtain from input data (storm features) available
in or derived from the HURDAT2 database models capable of simulating important
hurricane properties such as landfall location and wind speed that are
consistent with historical records. In pursuit of this objective, a trajectory
model providing the storm center in terms of longitude and latitude, and
intensity models providing the central pressure and maximum 1-$min$ wind …

arxiv deep learning features physics simulation

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