4 papers
Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
Moyan Liu, Qin Huang, Upmanu Lall
Advances in deep learning methods for weather forecasting are creating opportunities to computationally explore the potential for steering or control of extreme weather trajectorie…
Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
Qin Huang, Moyan Liu, Yeongbin Kwon +1
AI weather foundation models now achieve forecast skill comparable to numerical weather prediction at far lower computational cost, yet their predictability for high-impact extreme…
Regime identification and control of extremes in the non-autonomous Lorenz model with chaos and intransitivity
Moyan Liu, Qin Huang, Upmanu Lall
Adaptive chaos control has been studied extensively for autonomous systems. For real world, non-autonomous systems, such as the planetary weather, observations of the system state…
Weather Jiu-Jitsu: Climate Adaptation for the 21st Century
Qin Huang, Moyan Liu, Upmanu Lall
Extreme climate events, e.g., droughts, floods, heat waves, and freezes, are becoming more frequent and intense with severe global socio-economic impacts. Growing populations and e…