World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
78
Citations
16165
World Ranking
1095
National Ranking
476

Overview

Hamid Moradkhani is affiliated with the University of Alabama in the United States and specializes in Environmental Science and Earth and Planetary Sciences. Their work spans a range of subfields including Global and Planetary Change, Atmospheric Science, Water Science and Technology, Environmental Engineering, and Sociology and Political Science.

Their research covers multiple topics such as Flood Risk Assessment and Management, Tropical and Extratropical Cyclones Research, Hydrology and Watershed Management Studies, Meteorological Phenomena and Simulations, Hydrology and Drought Analysis, Climate Variability and Models, and Disaster Management and Resilience.

Frequent co-authors in their publications include Hamed Moftakhari, Peyman Abbaszadeh, Keighobad Jafarzadegan, David F. Muñoz, and Keyhan Gavahi.

Hamid Moradkhani publishes regularly in several scientific journals. The most frequent venues for their work are:

  • Water Resources Research
  • SSRN Electronic Journal
  • Earth's Future
  • Advances in Water Resources
  • Journal of Hydrology

Some of their recent papers include:

  • In-situ and triple-collocation based evaluations of eight global root zone soil moisture products, 2020, Remote Sensing of Environment
  • Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index, 2020, Remote Sensing of Environment
  • MXenes: The two-dimensional influencers, 2021, Materials Today Advances
  • From local to regional compound flood mapping with deep learning and data fusion techniques, 2021, The Science of The Total Environment
  • Causes of the Widespread 2019-2020 Australian Bushfire Season, 2020, Earth's Future

Best Publications

  • Dual state-parameter estimation of hydrological models using ensemble Kalman filter

    Hamid Moradkhani;Soroosh Sorooshian;Hoshin Vijai Gupta;Paul R. Houser

  • Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

    Hamid Moradkhani;Kuo-Lin Hsu;Hoshin V. Gupta;Soroosh Sorooshian

  • Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

    Yuqiong Liu;Yuqiong Liu;A. Weerts;M. Clark;H.-J Hendricks Franssen

  • Future drought risk in Africa: Integrating vulnerability, climate change, and population growth

    Ali Ahmadalipour;Hamid Moradkhani;Andrea Castelletti;Nicholas Magliocca

  • Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter

    Carsten Montzka;Hamid Moradkhani;Lutz Weihermüller;Harrie-Jan Hendricks Franssen

  • Assessing the uncertainties of hydrologic model selection in climate change impact studies

    M. R. Najafi;H. Moradkhani;I. W. Jung

  • Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response

    Yang Hong;Yang Hong;Kuo-lin Hsu;Hamid Moradkhani;Soroosh Sorooshian

  • Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method

    Hamid Moradkhani;Caleb Matthew DeChant;Soroosh Sorooshian

  • Improved streamflow forecasting using self-organizing radial basis function artificial neural networks

    Hamid Moradkhani;Kuo Lin Hsu;Hoshin V. Gupta;Soroosh Sorooshian

  • General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis

    Hamid Moradkhani;Soroosh Sorooshian

  • Hydrologic Remote Sensing and Land Surface Data Assimilation.

    Hamid Moradkhani

  • Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting

    Caleb Matthew DeChant;Hamid Moradkhani

  • Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method

    Peyman Abbaszadeh;Hamid Moradkhani;Xiwu Zhan

  • Drought Analysis under Climate Change Using Copula

    Shahrbanou Madadgar;Hamid Moradkhani

  • Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation

    Mark A. Parrish;Hamid Moradkhani;Caleb Matthew DeChant

  • Improved Bayesian multimodeling: Integration of copulas and Bayesian model averaging

    Shahrbanou Madadgar;Hamid Moradkhani

  • Radiance data assimilation for operational snow and streamflow forecasting

    Caleb Dechant;Hamid Moradkhani

  • A Bayesian Framework for Probabilistic Seasonal Drought Forecasting

    Shahrbanou Madadgar;Hamid Moradkhani

  • In-situ and triple-collocation based evaluations of eight global root zone soil moisture products

    Lei Xu;Nengcheng Chen;Xiang Zhang;Hamid Moradkhani

  • Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index

    Lei Xu;Lei Xu;Peyman Abbaszadeh;Hamid Moradkhani;Nengcheng Chen

  • Snow water equivalent prediction using Bayesian data assimilation methods

    Marc Leisenring;Hamid Moradkhani

  • Uncertainty Quantification of Satellite Precipitation Estimation and Monte Carlo Assessment of the Error Propagation into Hydrologic Response

    Y. Hong;H. Moradkhani;K. Hsu;S. Sorooshian

Frequent Co-Authors

Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Ashish Sharma
Ashish Sharma University of New South Wales
Kuolin Hsu
Kuolin Hsu University of California, Irvine
Carsten Montzka
Carsten Montzka Forschungszentrum Jülich
Heejun Chang
Heejun Chang Portland State University
Harrie-Jan Hendricks Franssen
Harrie-Jan Hendricks Franssen Forschungszentrum Jülich
Bjørn Kløve
Bjørn Kløve University of Oulu
Harry Vereecken
Harry Vereecken Forschungszentrum Jülich
Hoshin V. Gupta
Hoshin V. Gupta University of Arizona
Xiang Zhang
Xiang Zhang University of Hong Kong

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