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Sensors (Basel, Switzerland)|November 24, 2016
Hydrologic Remote Sensing and Land Surface Data AssimilationHamid MoradkhaniEnvironment International|May 16, 2018
Escalating heat-stress mortality risk due to global warming in the Middle East and North Africa (MENA)Ali Ahmadalipour, Hamid MoradkhaniThe Science of the Total Environment|July 11, 2018
Multi-dimensional assessment of drought vulnerability in Africa: 1960-2100Ali Ahmadalipour, Hamid MoradkhaniScientific Data|January 8, 2025
DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United StatesParnian Ghaneei, Hamid MoradkhaniWater Research|December 4, 2018
Hydrological drought persistence and recovery over the CONUS: A multi-stage framework considering water quantity and qualityBehzad Ahmadi, Ali Ahmadalipour, Hamid MoradkhaniThe Science of the Total Environment|April 1, 2022
How does precipitation data influence the land surface data assimilation for drought monitoring?Keyhan Gavahi, Peyman Abbaszadeh, Hamid MoradkhaniScientific Reports|July 2, 2025
Snow drought to hydrologic drought progression using machine learning and probabilistic analysisPouya Moghaddasi, Keyhan Gavahi, Hamid MoradkhaniScientific Reports|July 8, 2022
Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approachesAhad Hasan Tanim, Erfan Goharian, Hamid MoradkhaniWater Resources Research|June 21, 2019
The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation FrameworkPeyman Abbaszadeh, Hamid Moradkhani, Dacian N DaescuScientific Reports|May 11, 2019
Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine LearningKatherine E Schlef, Hamid Moradkhani, Upmanu LallPageof 3