Upmanu Lall

Professor

Columbia University

United States

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Upmanu Lall is a Professor at Columbia University in the United States. His research focuses on hydroclimatic extremes, flood risk assessment, and climate predictability of renewable energy. Recent articles explore topics such as the impacts of extreme rainfall, climate change effects on energy demand, and innovative solutions for water contamination. He employs advanced modeling techniques to inform strategies for managing climate-related challenges.

Articles (19)

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2025

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2021

Collaborators (9)

Nasser Najibi

Assistant Professor

University of Florida

UNITED STATES

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Bodo Ahrens

Goethe University Frankfurt

GERMANY

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Naresh Devineni

UNITED STATES

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Nicole Davi

Professor & Chair

William Paterson University

UNITED STATES

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Mengxin Pan

Assistant professor

Simon Fraser University

CANADA

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James Doss-Gollin

Professor

Rice University

UNITED STATES

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Masahiko Haraguchi

Harvard University

UNITED STATES

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Adam Nayak

Columbia University

UNITED STATES

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Bridget Scanlon

UNITED STATES

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Upmanu Lall

Research Interests

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About

Articles (19)

Financial losses associated with US floods occur with frequent low-return-period precipitation

A Nonstationary Daily and Hourly Analysis of the Extreme Rainfall Frequency Considering Climate Teleconnection in Coastal Cities of the United States

The Value of Large‐Scale Climatic Indices for Monthly Forecasting Severity of Widespread Flooding Using Dilated Convolutional Neural Networks

Diversity of cross-Pacific atmospheric river main routes

The Case for Point-of-Use Reverse Osmosis for Tackling Lead Drinking Water Contamination

A nonstationary stochastic simulator for clustered regional hydroclimatic extremes to characterize compound flood risk

Potential climate predictability of renewable energy supply and demand for Texas given the ENSO hidden state

Compound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales

Needs for Portfolio Risk Assessment of Aging Dams in the United States

Differential effects of climate change on average and peak demand for heating and cooling across the contiguous USA

Compound Continental Risk of Multiple Extreme Floods in the United States

Subway travel risk evaluation during flood events based on smart card data

Technical note: Modeling spatial fields of extreme precipitation – a hierarchical Bayesian approach

Reconstructed eight-century streamflow in the Tibetan Plateau reveals contrasting regional variability and strong nonstationarity

Stochastic Downscaling of Hourly Precipitation Series From Climate Change Projections

Estimating return intervals for extreme climate conditions related to winter disasters and livestock mortality in Mongolia

Solving groundwater depletion in India while achieving food security

Regional Index Insurance Using Satellite‐Based Fractional Flooded Area

A Bayesian Hierarchical Network Model for Daily Streamflow Ensemble Forecasting

Collaborators (9)

Nasser Najibi

Bodo Ahrens

Naresh Devineni

Nicole Davi

Mengxin Pan

James Doss-Gollin

Masahiko Haraguchi

Adam Nayak

Bridget Scanlon

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