2 citations · 3 across the 3 of their papers we have counts for
4 papers
TCBench: A Benchmark for Tropical Cyclone Track and Intensity Forecasting at the Global Scale
Milton Gomez, Marie McGraw, Saranya Ganesh S. +13
TCBench is a benchmark for evaluating global, short to medium-range (1-5 days) forecasts of tropical cyclone (TC) track and intensity. To allow a fair and model-agnostic comparison…
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Saranya Ganesh S, Frederick Iat-Hin Tam, Milton S. Gomez +5
Improving statistical forecasts of tropical cyclone (TC) intensity is limited by complex nonlinear interactions and difficulty in identifying relevant predictors. Conventional meth…
From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
Frederick Iat-Hin Tam, Fabien Augsburger, Tom Beucler
Reliably identifying and understanding temporal precursors to extreme wind gusts is crucial for early warning and mitigation. This study proposes a simple data-driven approach to e…
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery
Saranya Ganesh S., Tom Beucler, Frederick Iat-Hin Tam +3
Robust feature selection is vital for creating reliable and interpretable Machine Learning (ML) models. When designing statistical prediction models in cases where domain knowledge…