Multidata causal discovery identifies physically relevant predictors that improve linear and MLP models for tropical cyclone intensity forecasting over standard correlation-based selection.
Recent advancements in dynamical tropical cyclone track predictions.Meteorology and Atmospheric Physics, 56(1):81–99, 1995
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.AP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.