Multidata causal discovery identifies physically relevant predictors that improve linear and MLP models for tropical cyclone intensity forecasting over standard correlation-based selection.
Boundary layer recovery and precipitation symmetrization preceding rapid intensification of tropical cyclones under shear
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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.