Multidata causal discovery identifies physically relevant predictors that improve linear and MLP models for tropical cyclone intensity forecasting over standard correlation-based selection.
An updated statistical hurricane intensity prediction scheme (ships) for the atlantic and eastern north pacific basins.Weather and Forecasting, 14(3):326–337
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Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Multidata causal discovery identifies physically relevant predictors that improve linear and MLP models for tropical cyclone intensity forecasting over standard correlation-based selection.