5 papers · 1 filter
WP-MIP: An Artificial Intelligence, Hybrid, and Physically Based Model Intercomparison Project for Weather Prediction
Ron McTaggart-Cowan, Linus Magnusson, Inna Polichtchouk +57
Rapid progress in the field of machine-learning for weather prediction has led to the emergence of algorithms whose forecasting skill can exceed that of traditional physically base…
Impacts of Jet Stream Structure on Cyclone Merging and Persistent Anticyclones: Insights from Dry Idealized Simulations
Mingfei Ren, Gan Zhang, Kai-Yuan Cheng +3
Midlatitude jet streams exhibit substantial variability in latitude, width, and vertical depth on synoptic to multi-decadal timescales. While the upper-level dynamics of baroclinic…
Near-surface Extreme Wind Events and Their Responses to Climate Forcings in a Hierarchy of Global Climate Models
G. Zhang, M. Rao, I. Simpson +4
Near-surface extreme winds profoundly affect human society, yet process-based understanding of their changes under climate forcings remains limited. This study systematically inves…
Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model
Ziming Chen, L. Ruby Leung, Wenyu Zhou +9
Machine learning (ML)-based models have demonstrated high skill and computational efficiency, often outperforming conventional physics-based models in weather and subseasonal predi…
Track-Dependent Links between Tropical Cyclones and Extratropical Predictability in Physical and AI Models
Gan Zhang
Global medium-range weather forecasts suffer occasional failures, often linked to tropical cyclones (TCs). We investigate TC influences on extratropical predictability by comparing…