H. Moradkhani

发表

Ensemble prediction and data assimilation for operational hydrology

D. Seo, A. Weerts, Yuqiong Liu, 2014 .

Hydrologic Remote Sensing and Land Surface Data Assimilation

H. Moradkhani, 2008, Sensors.

Radiance data assimilation for operational snow and streamflow forecasting

C. M. DeChant, H. Moradkhani, 2011 .

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

M. Canty, H. Franssen, H. Moradkhani, 2011 .

Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Response

H. Moradkhani, T. Meskele, 2010 .

Snow water equivalent prediction using Bayesian data assimilation methods

H. Moradkhani, M. Leisenring, Marc Leisenring, 2011 .

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

Hamid Moradkhani, Caleb Matthew DeChant, C. M. DeChant, 2012 .

Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation

C. M. DeChant, H. Moradkhani, 2011 .

Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting

S. Sorooshian, H. Moradkhani, K. Hsu, 2006 .

Toward a reliable prediction of seasonal forecast uncertainty: Addressing model and initial condition uncertainty with ensemble data assimilation and Sequential Bayesian Combination

Hamid Moradkhani, Caleb Matthew DeChant, C. M. DeChant, 2014 .

Estimation of Radiative Transfer Parameters from L‐Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation

M. Drusch, H. Franssen, H. Moradkhani, 2013 .

Ensemble Streamflow Prediction: Climate signal weighting methods vs. Climate Forecast System Reanalysis

H. Moradkhani, M. Najafi, T. Piechota, 2012 .

Analyzing the uncertainty of suspended sediment load prediction using sequential data assimilation

H. Moradkhani, M. Leisenring, 2012 .

Long-Lead Water Supply Forecast Using Large-Scale Climate Predictors and Independent Component Analysis

H. Moradkhani, M. Meier, 2010 .

Time-varying parameter models for catchments with land use change: the importance of model structure

P. Burlando, H. Moradkhani, Ashish Sharma, 2017 .

Assessment of climate change impact on floodplain and hydrologic ecotones.

Hamid Moradkhani, Susan A. Wherry, H. Moradkhani, 2010 .

Analysis of precipitation extremes with the assessment of regional climate models over the Willamette River Basin, USA

H. Moradkhani, M. Najafi, Andrew Halmstad, 2013 .

Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing

H. Moradkhani, M. Demirel, 2016, Climatic Change.

Assessing model state and forecasts variation in hydrologic data assimilation

Gift Dumedah, Paulin Coulibaly, Hamid Moradkhani, 2014 .

Hydrologic modeling in dynamic catchments: A data assimilation approach

H. Moradkhani, Ashish Sharma, S. Pathiraja, 2016 .

Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis

H. Moradkhani, Ashish Sharma, A. Rana, 2017, Theoretical and Applied Climatology.

Analysis of dam-induced cyclic patterns on river flow dynamics

H. Moradkhani, H. Tongal, M. Demirel, 2017 .

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

H. Moradkhani, M. Najafi, I. Jung, 2011 .

A hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes

H. Moradkhani, M. Najafi, 2014 .

Uncertainty analysis of statistical downscaling models using Hadley Centre Coupled Model

H. Moradkhani, S. Samadi, C. Wilson, 2013, Theoretical and Applied Climatology.

Spatio-temporal drought forecasting within Bayesian networks

H. Moradkhani, Shahrbanou Madadgar, S. Madadgar, 2014 .

Centennial drought outlook over the CONUS using NASA‐NEX downscaled climate ensemble

M. Svoboda, H. Moradkhani, A. Ahmadalipour, 2017 .

A Bayesian Framework for Probabilistic Seasonal Drought Forecasting

Hamid Moradkhani, Shahrbanou Madadgar, H. Moradkhani, 2013 .

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

Lei Xu, H. Moradkhani, Nengcheng Chen, 2020 .

Analysis of runoff extremes using spatial hierarchical Bayesian modeling

Mohammad Najafi, Hamid Moradkhani, H. Moradkhani, 2013 .

Statistical Comparisons of Watershed-Scale Response to Climate Change in Selected Basins across the United States

Hamid Moradkhani, Lauren E. Hay, John C. Risley, 2011 .

Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers

D. Muñoz, H. Moftakhari, H. Moradkhani, 2022, Natural Hazards and Earth System Sciences.

Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers

D. Muñoz, H. Moftakhari, H. Moradkhani, 2021, Natural Hazards and Earth System Sciences.

Near‐real‐time one‐kilometre Soil Moisture Active Passive soil moisture data product

Jeffrey P. Walker, H. Moradkhani, X. Zhan, 2020, Hydrological Processes.

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

H. Moradkhani, P. Abbaszadeh, X. Zhan, 2019, Water Resources Research.

3D Estimation of Metal Elements in Sediments of Caspian Sea with Moving Least Square and Radial Basis Function Interpolation Methods

H. Moradkhani, N. Talebbeydokhti, H. R. Z. Sanayei, 2015 .

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

H. Moradkhani, Nengcheng Chen, Lei Xu, 2021 .

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

Y. Hong, S. Sorooshian, H. Moradkhani, 2004 .

Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation

Hongxiang Yan, Hamid Moradkhani, Ali Ahmadalipour, 2017 .

Multi-dimensional assessment of drought vulnerability in Africa: 1960-2100.

Hamid Moradkhani, Ali Ahmadalipour, H. Moradkhani, 2018, The Science of the total environment.

Parameter Uncertainty Estimation of Hydrologic Models, Using Bootstrap Resampling

H. Moradkhani, A. Ebtehaj, 2009 .

Drought and food security in the middle east: An analytical framework

H. Moradkhani, A. Ahmadalipour, M. Hameed, 2020 .

Assessment of Hydrologic Model States and Parameters : Sequential Data Assimilation Using the Particle Filter

H. Moradkhani, 2019 .

Engineering 5-1-2005 Uncertainty Assessment of Hydrologic Model States and Parameters : Sequential Data Assimilation Using the Particle Filter

H. Gupta, H. Moradkhani, K. Hsu, 2005 .

A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis

B. Rajagopalan, H. Moradkhani, K. D. Holman, 2018 .

Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment

D. Muñoz, H. Moftakhari, H. Moradkhani, 2020, Water Resources Research.

On the assessment of reliability in probabilistic hydrometeorological event forecasting

Hamid Moradkhani, Caleb Matthew DeChant, C. M. DeChant, 2015 .

Analyzing the Uncertainty of Ensemble-Based Gridded Observations in Land Surface Simulations and Drought Assessment

H. Moradkhani, A. Ahmadalipour, 2017 .

Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting

H. Moradkhani, P. Abbaszadeh, K. Gavahi, 2020 .

Examining the Reliability of Hydrologic Drought-Risk Forecasting at Seasonal Timescales

C. M. DeChant, H. Moradkhani, 2014 .

REVEALING THE CHAOTIC NATURE OF RIVER FLOW

H. Moradkhani, N. Talebbeydokhti, E. Nikooee, 2013 .

THE CHAOTIC NATURE OF RIVER FLOW

H. Moradkhani, N. Talebbeydokhti, E. Nikooee, 2013 .

Using Emoji Stimuli for CheckerBoard P 300 Speller

H. Moradkhani, V. Shalchyan, 2018 .

Understanding the joint behavior of temperature and precipitation for climate change impact studies

H. Moradkhani, A. Rana, Yue Qin, 2017, Theoretical and Applied Climatology.

Apprehensive Drought Characteristics over Iraq: Results of a Multidecadal Spatiotemporal Assessment

H. Moradkhani, A. Ahmadalipour, M. Hameed, 2018 .

Enabling incremental adaptation in disadvantaged communities: polycentric governance with a focus on non-financial capital

B. Sanders, H. Moftakhari, H. Moradkhani, 2020, Climate Policy.

Uncertainty assessment of climate change impacts for hydrologically distinct river basins

Hamid Moradkhani, Heejun Chang, H. Moradkhani, 2012 .

Accounting for downscaling and model uncertainty in fine-resolution seasonal climate projections over the Columbia River Basin

H. Moradkhani, A. Rana, A. Ahmadalipour, 2017, Climate Dynamics.

Spatial, temporal and frequency based climate change assessment in Columbia River Basin using multi downscaled-scenarios

H. Moradkhani, A. Rana, 2016, Climate Dynamics.

Mortality risk from heat stress expected to hit poorest nations the hardest

H. Moradkhani, Mukesh Kumar, A. Ahmadalipour, 2019, Climatic Change.

Toward a formal definition of water scarcity in natural‐human systems

J. McDonnell, P. Mote, A. Nolin, 2013, Water Resources Research.

Drought Vulnerability in the United States: An Integrated Assessment

H. Moradkhani, J. Engström, K. Jafarzadegan, 2020 .

Assessment of Climate Change Impacts on Drought Returns Periods Using Copula

H. Moradkhani, Shahrbanou Madadgar, 2011 .

Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring

C. Hain, H. Moradkhani, P. Abbaszadeh, 2020, Journal of Hydrometeorology.

Assessing flash flood hazard and damages in the southeast United States

H. Moradkhani, A. Ahmadalipour, Atieh Alipour, 2020, Journal of Flood Risk Management.

Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework

H. Moradkhani, Hongxiang Yan, M. Zarekarizi, 2018, Remote Sensing of Environment.

A Review of the 21st Century Challenges in the Food-Energy-Water Security in the Middle East

H. Moftakhari, H. Moradkhani, P. Abbaszadeh, 2019, Water.

A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

H. Moradkhani, Wanyun Shao, A. Ahmadalipour, 2020, Scientific Reports.

Wildfires in the Arctic and tropical biomes: what is the relative role of climate?

H. Moradkhani, P. Abbaszadeh, D. Keellings, 2022, Natural Hazards.

Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches

H. Moradkhani, E. Goharian, A. H. Tanim, 2022, Scientific Reports.

A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk

H. Moftakhari, H. Moradkhani, Atieh Alipour, 2022, Earth's Future.

Toward a more effective hurricane hazard communication

H. Moftakhari, H. Moradkhani, Atieh Alipour, 2020, Environmental Research Letters.

Potential Precipitation Predictability Decreases Under Future Warming

P. Chu, H. Moradkhani, Nengcheng Chen, 2020, Geophysical Research Letters.

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

Soroosh Sorooshian, Hamid Moradkhani, S. Sorooshian, 2009 .

1-1-2011 Improving the Characterization of Initial Condition for Ensemble Streamflow Prediction Using Data Assimilation

C. M. DeChant, H. Moradkhani, 2016 .

Reducing Streamflow Forecasting Uncertainty: A Sequential Bayesian Approach Inspired by Data Assimilation for Multi-model Combination and Forecasting

Soroosh Sorooshian, Hamid Moradkhani, Kevin Chihcheng Hsu, 2009 .

Analyzing the sensitivity of drought recovery forecasts to land surface initial conditions

C. M. DeChant, H. Moradkhani, 2015 .

Compound Effects of Flood Drivers, Sea Level Rise, and Dredging Protocols on Vessel Navigability and Wetland Inundation Dynamics

D. Muñoz, H. Moftakhari, H. Moradkhani, 2022, Frontiers in Marine Science.

An effective post-processing of the North American multi-model ensemble (NMME) precipitation forecasts over the continental US

H. Moradkhani, A. Ahmadalipour, Sepideh Khajehei, 2018, Climate Dynamics.

Improving Global Monthly and Daily Precipitation Estimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis Data Sets

H. Moradkhani, Nengcheng Chen, Lei Xu, 2020, Water Resources Research.

Multi-Level Influences on Center-Pivot Irrigation Adoption in Alabama

H. Moftakhari, H. Moradkhani, N. Magliocca, 2022, Frontiers in Sustainable Food Systems.

Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting

D. Muñoz, H. Moftakhari, H. Moradkhani, 2022, iScience.

Wildfires in the Arctic and tropical biomes: what is the relative role of climate?

H. Moradkhani, P. Abbaszadeh, D. Keellings, 2022, Natural Hazards.

An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation

H. Moradkhani, P. Abbaszadeh, P. Deb, 2022, Agricultural and Forest Meteorology.

Insights on the impact of systematic model errors on data assimilation performance in changing catchments

P. Burlando, H. Moradkhani, Ashish Sharma, 2017 .

Perspective on uncertainty quantiﬁcation and reduction in compound ﬂood modeling and forecasting

D. Muñoz, H. Moftakhari, H. Moradkhani, 2022 .

High-Resolution SMAP Satellite Soil Moisture Product: Exploring the Opportunities

Sujay V. Kumar, C. Hain, H. Moradkhani, 2021, Bulletin of the American Meteorological Society.

Soil Erosion in the United States. Present and Future (2020-2050)

Mehrdad Ghorbani Mooselu, A. Gandomi, J. Adamowski, 2022, ArXiv.

Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach

H. Moradkhani, Ehsan Foroumandi, V. Nourani, 2023, Journal of Hydrology.

Regionalization of stage-discharge rating curves for hydrodynamic modeling in ungauged basins

Hamid Moradkhani, Keighobad Jafarzadegan, H. Moradkhani, 2020 .

Combining clustering and classification for the regionalization of environmental model parameters: Application to floodplain mapping in data-scarce regions

Venkatesh Merwade, Hamid Moradkhani, Keighobad Jafarzadegan, 2020, Environ. Model. Softw..

Comparing public perceptions of sea level rise with scientific projections across five states of the U.S. Gulf Coast region

H. Moftakhari, H. Moradkhani, Wanyun Shao, 2020, Climatic Change.

Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method

Hongxiang Yan, Hamid Moradkhani, Caleb M. DeChant, 2015, IEEE Transactions on Geoscience and Remote Sensing.

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

Soroosh Sorooshian, Hoshin Vijai Gupta, Paul R. Houser, 2005 .

MXenes: The two-dimensional influencers

H. Moradkhani, B. Anasori, M. Dadashi Firouzjaei, 2022, Materials Today Advances.

Toward Reduction of Detrimental Effects of Hurricanes using a Social Media Data Analytic Approach: How Climate Change is perceived?

H. Moradkhani, Wanyun Shao, Majid Mirzaei, 2023, Climate Risk Management.

Social Response and Disaster Management: Insights from Twitter Data Assimilation on Hurricane Ian

H. Moradkhani, Mohammadsepehr Karimiziarani, 2023, SSRN Electronic Journal.

Hazard Risk Awareness and Disaster Management: Extracting the Information Content of Twitter Data

H. Moradkhani, Wanyun Shao, P. Abbaszadeh, 2021, Sustainable Cities and Society.

Escalating heat-stress mortality risk due to global warming in the Middle East and North Africa (MENA).

H. Moradkhani, A. Ahmadalipour, 2018, Environment international.

A comparative assessment of projected meteorological and hydrological droughts: Elucidating the role of temperature

H. Moradkhani, M. Demirel, A. Ahmadalipour, 2017 .

A Combined Optimization‐Assimilation Framework to Enhance the Predictive Skill of Community Land Model

H. Moradkhani, P. Abbaszadeh, W. Gong, 2021, Water Resources Research.

Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection

Mohammad Najafi, Hamid Moradkhani, Susan A. Wherry, 2011 .

Optimal Selection of GCM Predictors Combined with a New Procedure for Statistical Downscaling of Precipitation

H. Moradkhani, M. Najafi, S. Wherry, 2010 .

A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017

Hamid Moradkhani, Ali Ahmadalipour, H. Moradkhani, 2019, Journal of Hydrology.

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

Kuolin Hsu, Soroosh Sorooshian, Hoshin Vijai Gupta, 2005 .

Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project

H. Moradkhani, H. Gong, Weihong Liao, 2021, Journal of Hydrology.

Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

Peyman Abbaszadeh, Hongxiang Yan, Hamid Moradkhani, 2018 .

Spatiotemporal Evolution of Heat Wave Severity and Coverage Across the United States

H. Moradkhani, D. Keellings, 2020, Geophysical Research Letters.

Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction

H. Moradkhani, P. Abbaszadeh, P. Deb, 2022, Agricultural and Forest Meteorology.

DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

Peyman Abbaszadeh, Hamid Moradkhani, Keyhan Gavahi, 2021, Expert Syst. Appl..

Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling

Hoshin Vijai Gupta, Hamid Moradkhani, Mohammad Ebtehaj, 2010 .

Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning

Katherine E. Schlef, Upmanu Lall, H. Moradkhani, 2019, Scientific Reports.

Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling

Hongxiang Yan, Hamid Moradkhani, H. Moradkhani, 2016, Natural Hazards.

A regional Bayesian hierarchical model for flood frequency analysis

Hongxiang Yan, Hamid Moradkhani, H. Moradkhani, 2015, Stochastic Environmental Research and Risk Assessment.

Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping

H. Moradkhani, K. Jafarzadegan, Atieh Alipour, 2022, Environ. Model. Softw..

Towards an improved ensemble precipitation forecast: A probabilistic post-processing approach

Hamid Moradkhani, Sepideh Khajehei, H. Moradkhani, 2017 .

Improved Bayesian multimodeling: Integration of copulas and Bayesian model averaging

Hamid Moradkhani, Shahrbanou Madadgar, H. Moradkhani, 2014 .

Causes of the Widespread 2019–2020 Australian Bushfire Season

H. Moradkhani, A. Kiem, P. Abbaszadeh, 2020, Earth's Future.

Assessing Irrigation Mitigating Drought Impacts on Crop Yields with an Integrated Modeling Framework

H. Moradkhani, P. Abbaszadeh, P. Deb, 2022, Journal of Hydrology.

Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning

Katherine E. Schlef, Upmanu Lall, H. Moradkhani, 2019, Scientific Reports.

Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation

D. Muñoz, H. Moftakhari, H. Moradkhani, 2021, Coastal Engineering.

Improved Bayesian Multi-Modeling: Integration of Copulas and

Hamid Moradkhani, H. Moradkhani, 2014 .

Multi-model ensemble analysis of runoff extremes for climate change impact assessments

Mohammad Najafi, Hamid Moradkhani, H. Moradkhani, 2015 .

The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework

Dacian N. Daescu, Peyman Abbaszadeh, Hamid Moradkhani, 2019, Water resources research.

Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

Lucy Marshall, Hamid Moradkhani, Ashish Sharma, 2018 .

Fundamentals of Data Assimilation and Theoretical Advances

Peyman Abbaszadeh, Grey S. Nearing, Hamid Moradkhani, 2018 .

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

Soroosh Sorooshian, Hamid Moradkhani, Caleb Matthew DeChant, 2012 .

Toward Improved River Boundary Conditioning for Simulation of Extreme Floods

H. Moftakhari, H. Moradkhani, K. Jafarzadegan, 2021, Advances in Water Resources.

Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States

Behzad Ahmadi, Hamid Moradkhani, Ali Ahmadalipour, 2019, Remote. Sens..

Drought Analysis under Climate Change Using Copula

Hamid Moradkhani, Shahrbanou Madadgar, H. Moradkhani, 2013 .

Quantifying uncertainty in urban flooding analysis caused by the combined effect of climate and land use change scenarios

H. Moradkhani, H. Moradkhani, I. Jung, 2010 .

Agricultural Drought Monitoring Over Iraq Utilizing MODIS Products

Ayad M. Fadhil Al-Quraishi, H. Moradkhani, Y. Almamalachy, 2019, Environmental Remote Sensing and GIS in Iraq.

A Probabilistic Framework for Agricultural Drought Forecasting Using the Ensemble Data Assimilation and Bayesian Multivariate Modeling

H. Moradkhani, A. Ahmadalipour, Hongxiang Yan, 2021, Global Drought and Flood.

Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation

Lucy Marshall, Hamid Moradkhani, Ashish Sharma, 2016 .

Water trading as a tool to combat economic losses in agriculture under climate change

H. Moftakhari, H. Moradkhani, N. Magliocca, 2023, Sustainability Science.

Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping

Peyman Abbaszadeh, Hamid Moradkhani, Keighobad Jafarzadegan, 2021, Hydrology and Earth System Sciences.

Atmospheric circulation patterns explaining climatological drought dynamics in the boreal environment of Finland, 1962–2011

H. Moradkhani, B. Kløve, M. Irannezhad, 2017 .

Hydrological drought persistence and recovery over the CONUS: A multi-stage framework considering water quantity and quality.

H. Moradkhani, A. Ahmadalipour, B. Ahmadi, 2019, Water research.

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

Andrea Castelletti, Hamid Moradkhani, Ali Ahmadalipour, 2019, The Science of the total environment.

Lessons from Fish Passage Waterways in Oregon and Factors for Improving Their Construction

Hamid Moradkhani, David N Sillars, Trevor D. Smith, 2008 .

Combined Effect of Global Climate Projection and Hydrologic Model Uncertainties on the Future Changes of Streamflow

H. Moradkhani, M. Najafi, I. Jung, 2010 .

Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine

Brad G. Peter, D. Muñoz, H. Moftakhari, 2023, IEEE Transactions on Geoscience and Remote Sensing.

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

Kuolin Hsu, Soroosh Sorooshian, Hoshin Vijai Gupta, 2004 .

From local to regional compound flood mapping with deep learning and data fusion techniques

Hamid Moradkhani, Paul Muñoz, David F. Muñoz, 2021 .

Revisiting hydrological drought propagation and recovery considering water quantity and quality

Behzad Ahmadi, Hamid Moradkhani, H. Moradkhani, 2019, Hydrological Processes.

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

Seong Jin Noh, Yuqiong Liu, Martyn P. Clark, 2012 .

CLIMATE-INDUCED TRENDS IN GLOBAL RIVERINE WATER DISCHARGE AND SUSPENDED SEDIMENT DYNAMICS IN THE 21 CENTURY by NISHANI POORNA MORAGODA SAGY COHEN, COMMITTEE CHAIR

H. Moradkhani, S. Praskievicz, N. Moragoda, 2019 .

A sequential Bayesian approach for hydrologic model selection and prediction

Kuolin Hsu, Soroosh Sorooshian, Hamid Moradkhani, 2009 .

3-2019 Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States

H. Moradkhani, A. Ahmadalipour, G. Tootle, 2019 .

Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling

P. Bates, F. Pappenberger, H. Cloke, 2023, Reviews of Geophysics.

Improving flood inundation modeling skill: interconnection between model parameters and boundary conditions

H. Moradkhani, K. Jafarzadegan, Nazife Oruc Baci, 2023, Modeling Earth Systems and Environment.

A probabilistic drought forecasting framework: A combined dynamical and statistical approach

Hongxiang Yan, Hamid Moradkhani, Mahkameh Zarekarizi, 2017 .

How Does Precipitation Data Influence the Land Surface Data Assimilation Drought Monitoring?

H. Moradkhani, P. Abbaszadeh, K. Gavahi, 2021, SSRN Electronic Journal.

Fusing Multisource Data to Estimate the Effects of Urbanization, Sea Level Rise, and Hurricane Impacts on Long-Term Wetland Change Dynamics

Hamid Moradkhani, Paul Muñoz, David F. Muñoz, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Towards improved post‐processing of hydrologic forecast ensembles

Hamid Moradkhani, Shahrbanou Madadgar, David Garen, 2014 .

Estimation of Hydraulic Parameters by Simulated Remotely-Sensed Top Soil Moisture Observations with the Particle Filter

M. Canty, H. Moradkhani, C. Montzka, 2010 .

Decreasing water resources in Southeastern U.S. as observed by the GRACE satellites

H. Moradkhani, S. Praskievicz, J. Engström, 2021 .

Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA

H. Moradkhani, A. Rana, M. Zarekarizi, 2016, Climate Dynamics.

Toward Improved Hydrologic Prediction with Reduced Uncertainty Using Sequential Multi-Model Combination

Kuolin Hsu, Soroosh Sorooshian, Hamid Moradkhani, 2008 .

Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling

Hongxiang Yan, Hamid Moradkhani, H. Moradkhani, 2016 .

Storm surge hazard estimation along the US Gulf Coast: A Bayesian hierarchical approach

H. Moftakhari, H. Moradkhani, Georgios Boumis, 2023, Coastal Engineering.

Effects of recent temperature variability and warming on the Oulu-Hailuoto ice road season in the northern Baltic Sea

H. Moradkhani, B. Kløve, M. Irannezhad, 2018, Cold Regions Science and Technology.

Analysing the variability and trends of precipitation extremes in Finland and their connection to atmospheric circulation patterns

Deliang Chen, H. Moradkhani, B. Kløve, 2017 .

Leveraging machine learning for predicting flash flood damage in the Southeast US

Peyman Abbaszadeh, Hamid Moradkhani, Ali Ahmadalipour, 2020, Environmental Research Letters.

Coevolution of Extreme Sea Levels and Sea‐Level Rise Under Global Warming

H. Moftakhari, H. Moradkhani, Georgios Boumis, 2023, Earth's Future.

A deep learning-based framework for multi-source precipitation fusion

H. Moradkhani, Ehsan Foroumandi, K. Gavahi, 2023, Remote Sensing of Environment.

How does precipitation data influence the land surface data assimilation for drought monitoring?

H. Moradkhani, P. Abbaszadeh, K. Gavahi, 2022, Science of the Total Environment.

Water Supply, Demand, and Quality Indicators for Assessing the Spatial Distribution of Water Resource Vulnerability in the Columbia River Basin

V. Shandas, H. Moradkhani, D. Wise, 2013 .

A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

H. Moradkhani, Wanyun Shao, A. Ahmadalipour, 2020, Scientific Reports.

Ensemble Combination of Seasonal Streamflow Forecasts

Mohammad Najafi, Hamid Moradkhani, H. Moradkhani, 2016 .

Block-level vulnerability assessment reveals disproportionate impacts of natural hazards across the conterminous United States

H. Moftakhari, H. Moradkhani, K. Jafarzadegan, 2023, Nature communications.

An Approach for Long-lead Probabilistic Forecast of Droughts

Hamid Moradkhani, Shahrbanou Madadgar, H. Moradkhani, 2013 .

Bayesian Model Averaging for Flood Frequency Analysis

H. Moradkhani, Hongxiang Yan, 2014 .

Introducing a Hybrid Ensemble and Variational Data Assimilation Method for Improved Hydrologic Predictability

Hamid Moradkhani, H. Moradkhani, 2020 .

Quantifying Uncertainty in Urban Flooding Analysis Considering Hydro-Climatic Projection and Urban Development Effects

Hamid Moradkhani, Heejun Chang, H. Moradkhani, 2011 .

Higher Exposure of Poorer People to Emerging Weather Whiplash in a Warmer World

J. Zscheischler, H. Moradkhani, Boen Zhang, 2023, Geophysical Research Letters.

Efficient Tropical Cyclone Scenario Selection Based on Cumulative Likelihood of Potential Impacts

H. Moftakhari, H. Moradkhani, Meraj Sohrabi, 2023, Earth's Future.

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

Hamid Moradkhani, Mark A. Parrish, Caleb Matthew DeChant, 2012 .

ChatGPT in Hydrology and Earth Sciences: Opportunities, Prospects, and Concerns

X. Sanchez‐Vila, H. Moradkhani, Ehsan Foroumandi, 2023, Water Resources Research.

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

Y. Hong, S. Sorooshian, H. Moradkhani, 2004 .

Impacts of Different Rainfall Estimates on Hydrological Simulation and Satellite Rainfall Retrieval Error Propagation

H. Moradkhani, T. Meskele, 2009 .

Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting

S. Sorooshian, H. Moradkhani, K. Hsu, 2006 .

Unraveling the Relationship Between Tropical Storms and Agricultural Drought

H. Moradkhani, P. Abbaszadeh, P. Deb, 2021, Earth's Future.

Challenges for Appropriate Characterization of Compound Coastal Hazards

D. Muñoz, H. Moftakhari, H. Moradkhani, 2021, Geo-Extreme 2021.