11 citations · 12 across the 5 of their papers we have counts for
5 papers
Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts
Mauricio Lima, Marika Koukoula, Romain Pilon +4
Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation. Downscaling with either dynamical or deep generative models can over…
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…
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Antoine Leclerc, Erwan Koch, Monika Feldmann +2
Issuing timely severe weather warnings helps mitigate potentially disastrous consequences. Recent advancements in Neural Weather Models (NWMs) offer a computationally inexpensive a…
European supercell thunderstorms -- an underestimated current threat and an increasing future hazard
Monika Feldmann, Michael Blanc, Killian P. Brennan +4
Supercell thunderstorms are the most hazardous thunderstorm category and particularly impactful to society. Their monitoring is challenging and often confined to the radar networks…
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…