Upmanu Lall

About Upmanu Lall

Upmanu Lall, With an exceptional h-index of 77 and a recent h-index of 48 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Hydroclimate, Floods, Climate Risk, Water Systems, Stochastic Hydrology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decadal predictions of temperature, precipitation and streamflow considering their covariability

The predictability of daily rainfall during rainy season over East Asia by a Bayesian nonhomogeneous hidden Markov model

Public Health, Socioeconomic and Environmental Impacts of Urban Land Subsidence

Increasing risk of dam failures in the United States due to compound risk of rainfall clusters as climate changes

The value of large‐scale climatic indices for monthly forecasting severity of widespread flooding using dilated convolutional neural networks

A saturated stochastic simulator: synthetic US Gulf coast tropical cyclone precipitation fields

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

Migration and livelihood constellations: Assessing common themes in the face of environmental change in Somalia and among Agro‐Pastoral peoples

Upmanu Lall Information

University

Position

___

Citations(all)

19860

Citations(since 2020)

8692

Cited By

14492

hIndex(all)

77

hIndex(since 2020)

48

i10Index(all)

249

i10Index(since 2020)

197

Email

University Profile Page

Google Scholar

Upmanu Lall Skills & Research Interests

Hydroclimate

Floods

Climate Risk

Water Systems

Stochastic Hydrology

Top articles of Upmanu Lall

Decadal predictions of temperature, precipitation and streamflow considering their covariability

2024/3/7

The predictability of daily rainfall during rainy season over East Asia by a Bayesian nonhomogeneous hidden Markov model

Journal of Flood Risk Management

2024/3

Qing Cao
Qing Cao

H-Index: 23

Upmanu Lall
Upmanu Lall

H-Index: 42

Public Health, Socioeconomic and Environmental Impacts of Urban Land Subsidence

Public Health

2024/2/16

Increasing risk of dam failures in the United States due to compound risk of rainfall clusters as climate changes

2024/2/12

Upmanu Lall
Upmanu Lall

H-Index: 42

The value of large‐scale climatic indices for monthly forecasting severity of widespread flooding using dilated convolutional neural networks

Earth's Future

2024/2

Bodo Ahrens
Bodo Ahrens

H-Index: 26

Upmanu Lall
Upmanu Lall

H-Index: 42

A saturated stochastic simulator: synthetic US Gulf coast tropical cyclone precipitation fields

Natural Hazards

2024/1

Upmanu Lall
Upmanu Lall

H-Index: 42

Yochanan Kushnir
Yochanan Kushnir

H-Index: 46

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

2023/11/1

Golsa Mahdavi
Golsa Mahdavi

H-Index: 2

Upmanu Lall
Upmanu Lall

H-Index: 42

Migration and livelihood constellations: Assessing common themes in the face of environmental change in Somalia and among Agro‐Pastoral peoples

International Migration

2023/10

Assessing Precipitation Trends that may inform Aging Dam Overtopping across the USA

2023/7/7

Upmanu Lall
Upmanu Lall

H-Index: 42

Author Correction: The frontiers of water and sanitation

Nature Water

2023/7

Scenarios for adaptive flood protection alongside the SSPs for improved climate risk assessment

EGU General Assembly Conference Abstracts

2023/5

Upmanu Lall
Upmanu Lall

H-Index: 42

Forecasting the monthly severity of widespread flooding in Germany using dilated convolutional neural networks conditioned by large-scale climatic indexes

EGU General Assembly Conference Abstracts

2023/5

Bodo Ahrens
Bodo Ahrens

H-Index: 26

Upmanu Lall
Upmanu Lall

H-Index: 42

The value of large-scale climatic indices for monthly forecasting severity of widespread flooding using dilated convolutional neural networks

Authorea Preprints

2023/4/11

Bodo Ahrens
Bodo Ahrens

H-Index: 26

Upmanu Lall
Upmanu Lall

H-Index: 42

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

Hydrology

2023/3/16

Yash Amonkar
Yash Amonkar

H-Index: 1

Upmanu Lall
Upmanu Lall

H-Index: 42

Needs for portfolio risk assessment of aging dams in the United States

Journal of Water Resources Planning and Management

2023/3/1

Upmanu Lall
Upmanu Lall

H-Index: 42

The frontiers of water and sanitation

Nature Water

2023/1

Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance

arXiv preprint arXiv:2312.14943

2023/12/5

Compound continental risk of multiple extreme floods in the United States

Geophysical Research Letters

2023/11/16

Nasser Najibi
Nasser Najibi

H-Index: 7

Upmanu Lall
Upmanu Lall

H-Index: 42

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

Communications Earth & Environment

2023/11/1

water security and human modifications of the hydrologic cycle

Frontiers in Hydrology 2022

2022/6

Upmanu Lall
Upmanu Lall

H-Index: 42

See List of Professors in Upmanu Lall University(Columbia University in the City of New York)

Co-Authors

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