Nature Search

Inequality in human exposure to future climate extremes

Climate extremes are expected to worsen global population exposure, but disparities across income groups remain unclear. This study shows low-income countries face greater exposure to future floods, heatwaves, droughts, and compound events.

Parisa Hosseinzadehtalaei
Rafiq Hamdi
Hossein Tabari
ResearchOpen Access28 Aug 2025
Nature Communications

Volume: 16, P: 1-12
Block-level vulnerability assessment reveals disproportionate impacts of natural hazards across the conterminous United States

Introduces a precise, machine-learning-based Socio-Economic-Infrastructure Vulnerability index for natural hazards that uncovers stark variations in vulnerability at the block level emphasizing crucial information for risk-informed decision making.

Farnaz Yarveysi
Atieh Alipour
Hamid Moradkhani
ResearchOpen Access14 Jul 2023
Nature Communications

Volume: 14, P: 1-10
Establishing flood thresholds for sea level rise impact communication

Using machine learning algorithms, this study estimates sea level rise and high tide flooding thresholds every 10 km along the United States’ coasts, complementing conventional linear-/point-based estimates and offering insights for ungauged areas.

Sadaf Mahmoudi
Hamed Moftakhari
Hamid Moradkhani
ResearchOpen Access18 May 2024
Nature Communications

Volume: 15, P: 1-11
Dynamic bivariate hazard forecasting of hurricanes for improved disaster preparedness

Threats from wind and rain associated with landfalling tropical cyclones dominate during the development of a hurricane and can be predicted to improve hurricane preparedness, according to an analysis of real-time bivariate dynamic risk maps.

Shrabani S. Tripathy
Keighobad Jafarzadegan
Hamid Moradkhani
ResearchOpen Access04 Jan 2024
Communications Earth & Environment

Volume: 5, P: 1-10
Snow drought to hydrologic drought progression using machine learning and probabilistic analysis

Pouya Moghaddasi
Keyhan Gavahi
Hamid Moradkhani
ResearchOpen Access01 Jul 2025
Scientific Reports

Volume: 15, P: 1-17
Stochastic simulation of storm surge extremes along the contiguous United States coastlines using the max-stable process

An approach to predict realistic spatial surfaces of extreme storm surge event probabilities and their uncertainty along the contiguous United States coastline is developed using stochastic generation of synthetic extreme surges at the gauged and ungauged gridded locations.

Md Mamunur Rashid
Hamed Moftakhari
Hamid Moradkhani
ResearchOpen Access17 Jan 2024
Communications Earth & Environment

Volume: 5, P: 1-10
Rapid intensification of tropical cyclones in the Gulf of Mexico is more likely during marine heatwaves

Prolonged periods of high sea surface temperatures can substantially increase the probability of rapid intensification of tropical cyclones in the Gulf of Mexico and the northwestern Caribbean Sea, according to a probabilistic analysis.

Soheil Radfar
Hamed Moftakhari
Hamid Moradkhani
ResearchOpen Access09 Aug 2024
Communications Earth & Environment

Volume: 5, P: 1-13
Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches

Ahad Hasan Tanim
Erfan Goharian
Hamid Moradkhani
ResearchOpen Access08 Jul 2022
Scientific Reports

Volume: 12, P: 1-28
Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning

Katherine E. Schlef
Hamid Moradkhani
Upmanu Lall
ResearchOpen Access09 May 2019
Scientific Reports

Volume: 9, P: 1-12
A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

Sepideh Khajehei
Ali Ahmadalipour
Hamid Moradkhani
ResearchOpen Access16 Jan 2020
Scientific Reports

Volume: 10, P: 1-12
DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States

Parnian Ghaneei
Hamid Moradkhani
ResearchOpen Access07 Jan 2025
Scientific Data

Volume: 12, P: 1-15

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