4 citations · 4 across the 1 of their papers we have counts for
3 papers
Value of Adding AI Weather Model Ensembles to a Multi-model Probabilistic Blend
Harris Sop Nkuiate, Gavin Evans, Christopher A. T. Ferro +3
Many weather forecasting organizations use a multi-model blend of ensemble members from different prediction systems to obtain a more accurate forecast. Recent studies have shown t…
The Wealth of Agents: Scaling Agentic AI Across Developers
Austin W. Hanjie, Carlos E. Jimenez, Zirui Wang +1
Today's agentic systems are typically designed, built, and deployed by single developers with full control over all participating agents. While this simplifies development, it limi…
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Jakob Benjamin Wessel, Christopher A. T. Ferro, Gavin R. Evans +1
Accurate forecasts of extreme wind speeds are of high importance for many applications. Such forecasts are usually generated by ensembles of numerical weather prediction (NWP) mode…