11 citations · 13 across the 4 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…
Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
Milton Gomez, Louis Poulain--Auzeau, Alexis Berne +1
Numerical Weather Prediction (NWP) models that integrate coupled physical equations forward in time are the traditional tools for simulating atmospheric processes and forecasting w…
Lightning-Fast Convective Outlooks: Predicting Severe Convective Environments with Global AI-based Weather Models
Monika Feldmann, Tom Beucler, Milton Gomez +1
Severe convective storms are among the most dangerous weather phenomena and accurate forecasts mitigate their impacts. The recently released suite of AI-based weather models produc…
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…