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What is Hurricane Path Prediction Models about?

This document discusses different methods for predicting hurricane trajectories, including recurrent neural networks (RNNs), vector autoregression (VAR), and vector autoregressive moving average (VARMA) models. The authors tested these methods on hurricane data from the National Oceanic and Atmospheric Administration (NOAA) covering the Atlantic and Pacific oceans. Their best performing model was an RNN with LSTM layers that used only hurricane location data over time as input to predict the next location,

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api-202492975

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EN