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Upmanu Lall
Arizona State UniversityMeeting roles in:
Assessing Global Solar and Wind Investment Potential Under Climate-Driven Supply Risk
Forecasting Wind and Solar Energy Potential Using Time-Series Foundation Models: A Case Study in Texas
Enhancing Wind Energy Forecasting via Solar Covariates and Language-Based Pattern Mining: A Chronos-Based Study in Texas
Advances in Drought Monitoring and Risk Management: Integrating Remote Sensing, Stochastic Hydrology, Modeling, and Surveys I Oral
Weather Jiu Jitsu: Toward Adaptive Control of Extreme Weather Regimes Using the Seasonally Forced Lorenz-84 Model
Weather Jiu-Jitsu: Climate Adaptation for the 21st Century
Weather Jiu-Jitsu: Toward Controlling Atmospheric Rivers with Deep Learning Foundation Models and Adaptive Perturbation
Advances in Drought Monitoring and Risk Management: Integrating Remote Sensing, Stochastic Hydrology, Modeling, and Surveys II Poster
A Non-Stationary Copula–Wavelet Framework for Diagnosing Drought Propagation Strength and Timing
Weather Jiu Jitsu: Adaptive Chaos Control with Deep Learning of Atmospheric Dynamics to leverage the power of the atmospheric circulation with nudges to move or defuse storms and avert catastrophic flooding
Global-to-Regional Climate Signal Extraction for Climate-Conditioned Projection of Hydrologic Extremes
Catastrophic “Hyperclustering” and Recurrent Losses: Diagnosing U.S. Flood Insurance Insolvency Triggers
Weather Jiu Jitsu: A 21st century paradigm to leverage nature's power to mitigate some Compound, Concurrent, and Cascading Weather Hazards in a Changing Climate
An Attention-Based Stochastic Simulator for Nonstationary Multisite, Multivariate Extremes to Evaluate Climate-Conditional, Cascading Flood Risk
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