UL
Upmanu Lall
physics.ao-phRisk AnalysisClimatecs.LGHydrologystat.APApplied StatisticsCivil and Environmental Engineeringcs.SYdrinking water
On Valency
published · living versionsW_46j7ugc6·v1 · currentpublished
Fusing Earth observation embeddings and spaceborne terrain with meteorological forcing for flood peak depth prediction from high-water marks
with Wen Zhou, Shaowen Wang, Venkatesh Merwade, Dingqi Ye
1 version
Preprints & journals
44 papers in the corpus · 1995–2026Probabilistic Streamflow Forecasts for Mississippi River Navigation Risk and Parametric Insurancex5g51v · Jennifer Nakamura, Xander Nakamura, Upmanu Lall2026 · 0 citationsEarthArXiv
Weather Jiu-Jitsu: Exploring the Feasibility of Control Paradigms in Weather Foundation Models2610.00792v1 · Prakriti Biswas, Kobi Abayomi, Upmanu Lall2026 · 0 citationsarXiv
FEMA phase-out? Catastrophic extremes challenge decentralization of US flood insurance.42611997 · Nayak, Adam, Zhang, Mengjie, Gentine, Pierre et al.2026 · 0 citationsProceedings of the National Academy of Sciences of the United States of America. 2026;123(34):e2537388123
Regime identification and control of extremes in the nonautonomous Lorenz model with chaos and intransitivity.42493933 · Liu, Moyan, Huang, Qin, Lall, Upmanu2026 · 1 citationPhysical review. E. 2026;113(6-1):064207
Steering Tropical Cyclones Using Small Perturbations in an AI Weather Model2605.29248v2 · Qin Huang, Moyan Liu, Yeongbin Kwon et al.2026 · 0 citationsarXiv
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)2605.20494v2 · Jennifer Nakamura, Upmanu Lall2026 · 0 citationsarXiv
Urban Flood Observations: A hand-labeled training and validation dataset of post-flood inundation2604.23066v2 · Rohit Mukherjee, Hannah K. Friedrich, Beth Tellman et al.2026 · 0 citationsarXiv
Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model2604.18906v1 · Moyan Liu, Qin Huang, Upmanu Lall2026 · 0 citationsarXiv
Real-time Coordination of Cascaded Hydropower under Decision-Dependent Uncertainty2603.17931v3 · Eliza Cohn, Ning Qi, Upmanu Lall et al.2026 · 0 citationsarXiv
Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model2603.06516v1 · Qin Huang, Moyan Liu, Yeongbin Kwon et al.2026 · 0 citationsarXiv
A multilevel Bayesian approach to climate-fueled migration and conflict.41271982 · Palandri, Claire, Concha Larrauri, Paulina, Gelman, Andrew et al.2025 · 2 citationsScientific reports. 2025;15(1):41268
FEMA Phase-Out? Catastrophic Extremes Limit Decentralization of U.S. Flood Insurancex56178 · Adam Nayak, Mengjie Zhang, Pierre Gentine et al.2025 · 0 citationsEarthArXiv
Regime identification and control of extremes in the non-autonomous Lorenz model with chaos and intransitivity2510.26005v2 · Moyan Liu, Qin Huang, Upmanu Lall2025 · 0 citationsarXiv
An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk2509.14162v3 · Adam Nayak, Pierre Gentine, Upmanu Lall2025 · 0 citationsNayak, A., Gentine, P., and Lall, U. (2026). "Attention-Based Stochastic Simulation of Climate-Informed Spatiotemporal Flood Risk for Multisite Insurance Portfolios." Geophysical Research Letters, 53 (15)
Weather Jiu-Jitsu: Climate Adaptation for the 21st Century2508.09376v1 · Qin Huang, Moyan Liu, Upmanu Lall2025 · 0 citationsarXiv
Screening Global Solar and Wind Energy Investment Potential Accounting for Drought and Surplusx5vq8f · Mengjie Zhang, Adam Nayak, Upmanu Lall2025 · 1 citationEarthArXiv
Catastrophic “Hyperclustering” and Recurrent Losses: Diagnosing U.S. Flood Insurance Insolvency Triggersx5jb0t · Adam Nayak, Mengjie Zhang, Pierre Gentine et al.2025 · 5 citationsEarthArXiv
A Lagrangian-Informed Long-Term Dispatch Policy for Coupled Hydropower and Photovoltaic Systems2503.01690v1 · Eliza Cohn, Ning Qi, Upmanu Lall et al.2025 · 0 citationsarXiv
Deep Learning and Foundation Models for Weather Prediction: A Survey2501.06907v1 · Jimeng Shi, Azam Shirali, Bowen Jin et al.2025 · 3 citationsarXiv
A Bayesian Hierarchical Framework for Capturing Preference Heterogeneity in Migration Flows2412.01242v1 · Aric Cutuli, Upmanu Lall, Michael J. Puma et al.2024 · 0 citationsarXiv
Potential climate predictability of renewable energy supply and demand for Texas given the ENSO hidden state.39485843 · Zhang, Mengjie, Yan, Lei, Amonkar, Yash et al.2024 · 12 citationsScience advances. 2024;10(44):eado3517
A space-time simulator for hourly wind and solar energy fieldsx59d70 · Yash Amonkar, David Farnham, Upmanu Lall2024 · 0 citationsEarthArXiv
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance2312.14943v1 · Tejit Pabari, Beth Tellman, Giannis Karamanolakis et al.2023 · 3 citationsarXiv
Assessing Precipitation Trends that may inform Aging Dam Overtopping across the USAx5pt0w · Jeongwoo Hwang, Upmanu Lall2023 · 0 citationsEarthArXiv
Reconstructed eight-century streamflow in the Tibetan Plateau reveals contrasting regional variability and strong nonstationarity.36302859 · Wu, Yenan, Long, Di, Lall, Upmanu et al.2022 · 59 citationsNature communications. 2022;13(1):6416
Solving groundwater depletion in India while achieving food security.35697734 · Devineni, Naresh, Perveen, Shama, Lall, Upmanu2022 · 99 citationsNature communications. 2022;13(1):3374
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling.35510191 · Amonkar, Yash, Farnham, David J, Lall, Upmanu2022 · 26 citationsPatterns (New York, N.Y.). 2022;3(3):100454
How unprecedented was the February 2021 Texas cold snap?x5003j · James Doss-Gollin, David Farnham, Upmanu Lall et al.2021 · 179 citationsEarthArXiv
Groundwater depletion will reduce cropping intensity in India.33627418 · Jain, Meha, Fishman, Ram, Mondal, Pinki et al.2022 · 248 citationsScience advances. 2021;7(9)
Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency.33243991 · Rao, Mukund P, Cook, Edward R, Cook, Benjamin I et al.2020 · 129 citationsNature communications. 2020;11(1):6017
Making waves: Right in our backyard- surface discharge of untreated wastewater from homes in the United States.33310443 · Maxcy-Brown, Jillian, Elliott, Mark A, Krometis, Leigh Anne et al.2021 · 58 citationsWater research. 2021;190:116647
Big Data links from Climate to Commodity Production Forecasts and Risk Management2007.03015v1 · Paulina Concha Larrauri, Upmanu Lall2020 · 0 citationsarXiv
Detecting community response to water quality violations using bottled water sales.31570603 · Allaire, Maura, Mackay, Taylor, Zheng, Shuyan et al.2020 · 46 citationsProceedings of the National Academy of Sciences of the United States of America. 2019;116(42):20917-20922
Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning.31073192 · Schlef, Katherine E, Moradkhani, Hamid, Lall, Upmanu2020 · 65 citationsScientific reports. 2019;9(1):7171
Six centuries of Upper Indus Basin streamflow variability and its climatic drivers.30713359 · Rao, Mukund Palat, Cook, Edward R, Cook, Benjamin I et al.2025 · 63 citationsWater resources research. 2018;54(8):5687-5701
National trends in drinking water quality violations.29440421 · Allaire, Maura, Wu, Haowei, Lall, Upmanu2018 · 409 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(9):2078-2083
Spatial-temporal wind field prediction by Artificial Neural Networks1712.05293v1 · Jianan Cao, David J. Farnham, Upmanu Lall2017 · 5 citationsarXiv
An Empirical, Nonparametric Simulator for Multivariate Random Variables with Differing Marginal Densities and Nonlinear Dependence with Hydroclimatic Applications.26177987 · Lall, Upmanu, Devineni, Naresh, Kaheil, Yasir2016 · 27 citationsRisk analysis : an official publication of the Society for Risk Analysis. 2016;36(1):57-73
Introduction to the Focus Issue: Physics of Scaling and Self-similarity in Hydrologic Dynamics, Hydrodynamics, and Climate.26232973 · Kavvas, M L, Govindaraju, R S, Lall, U2015 · 4 citationsChaos (Woodbury, N.Y.). 2015;25(7):075201
Scaling of extreme rainfall areas at a planetary scale.26232980 · Devineni, Naresh, Lall, Upmanu, Xi, Chen et al.2016 · 9 citationsChaos (Woodbury, N.Y.). 2015;25(7):075407
Predictive statistical models linking antecedent meteorological conditions and waterway bacterial contamination in urban waterways.25813489 · Farnham, David J, Lall, Upmanu2016 · 17 citationsWater research. 2015;76:143-59
The effects of land use change and precipitation change on direct runoff in Wei River watershed, China.25633954 · Dong, Leihua, Xiong, Lihua, Lall, Upmanu et al.2015 · 39 citationsWater science and technology : a journal of the International Association on Water Pollution Research. 2015;71(2):289-95
Modeling the effect of algal dynamics on arsenic speciation in Lake Biwa.15669332 · Hellweger, Ferdi L, Lall, Upmanu2005 · 80 citationsEnvironmental science & technology. 2004;38(24):6716-23
Estimation of mutual information using kernel density estimators.9963673 · Moon, Rajagopalan, Lall2019 · 487 citationsPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 1995;52(3):2318-2321
Career total: 745 works. 44 are in this corpus.
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