4 citations · 7 across the 13 of their papers we have counts for
14 papers
Weather Jiu-Jitsu: Exploring the Feasibility of Control Paradigms in Weather Foundation Models
Prakriti Biswas, Kobi Abayomi, Upmanu Lall
Weather Jiu-Jitsu is a control paradigm for extreme climatological events, inspired by chaos theory. As a proposition, small, precise, targeted, and cost-inexpensive perturbations…
Steering Tropical Cyclones Using Small Perturbations in an AI Weather Model
Qin Huang, Moyan Liu, Yeongbin Kwon +1
Tropical cyclone (TC) trajectories are governed by large-scale steering flows and exhibit sensitive dependence on atmospheric initial conditions. Using Hurricane Sandy (2012) in th…
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
Jennifer Nakamura, Upmanu Lall
Reliable assessment of tropical cyclone risk is limited by the short and spatially uneven historical record, especially for rare, high-intensity landfalls that dominate insured los…
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…
Urban Flood Observations: A hand-labeled training and validation dataset of post-flood inundation
Rohit Mukherjee, Hannah K. Friedrich, Beth Tellman +5
Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolu…
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…
Real-time Coordination of Cascaded Hydropower under Decision-Dependent Uncertainty
Eliza Cohn, Ning Qi, Upmanu Lall +1
This study proposes a real-time control framework for cascaded hydropower systems that incorporates decision-dependent uncertainty (DDU) to capture the coupling of streamflow uncer…
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…
An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk
Adam Nayak, Pierre Gentine, Upmanu Lall
Flood risk is correlated in space and time, challenging insurance systems that rely on diversification across assets. Financial instruments governing flood coverage are typically s…
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…
A Lagrangian-Informed Long-Term Dispatch Policy for Coupled Hydropower and Photovoltaic Systems
Eliza Cohn, Ning Qi, Upmanu Lall +1
This paper presents a long-term dispatch framework for coupled hydropower and floating photovoltaic systems. We introduce a temporal decomposition algorithm based on partial Lagran…
Deep Learning and Foundation Models for Weather Prediction: A Survey
Jimeng Shi, Azam Shirali, Bowen Jin +10
Physics-based numerical models have been the bedrock of atmospheric sciences for decades, offering robust solutions but often at the cost of significant computational resources. De…
A Bayesian Hierarchical Framework for Capturing Preference Heterogeneity in Migration Flows
Aric Cutuli, Upmanu Lall, Michael J. Puma +2
Understanding and predicting human migration patterns is a central challenge in population dynamics research. Traditional physics-inspired gravity and radiation models represent mi…
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance
Tejit Pabari, Beth Tellman, Giannis Karamanolakis +11
Floods cause large losses to property, life, and livelihoods across the world every year, hindering sustainable development. Safety nets to help absorb financial shocks in disaster…