Hamid Moradkhani

发表

Air demand in gated tunnels - a Bayesian approach to merge various predictions

Mohammad Najafi, Zahra Kavianpour, Banafsheh Najafi, 2012 .

Enhancing Data Assimilation by Evolutionary Particle Filter and Markov Chain Monte Carlo

Peyman Abbaszadeh, Hamid Moradkhani, H. Yan, 2016 .

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..

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.

Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection

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

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 .

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

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

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

Hamid Moradkhani, H. Moradkhani, 2020 .

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

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

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

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

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

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

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

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

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.

A sequential Bayesian approach for hydrologic model selection and prediction

Kuolin Hsu, Soroosh Sorooshian, Hamid Moradkhani, 2009 .

A Hybrid Architecture of Neural Networks for Daily Streamflow Forecasting

Hamid Moradkhani, 2001 .

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

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

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

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

Improved Bayesian multimodeling: Integration of copulas and Bayesian model averaging

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

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 .

The Pursuit of Hydrologic Data Assimilation: Robustness, Effectiveness and Reliability in State and Parameter Estimation

Hamid Moradkhani, C. M. DeChant, 2012 .

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

Hongxiang Yan, Hamid Moradkhani, Mahkameh Zarekarizi, 2017 .

Advances in Hydrologic State and Parameter Estimation Using Ensemble Filtering and Smoothing (Invited)

Hamid Moradkhani, Caleb Matthew DeChant, M. Leisenring, 2010 .

Factors for Improved Fish Passage Waterway Construction

Hamid Moradkhani, David N Sillars, Nicholas Tymvios, 2011 .

From Flash Flood Vulnerability and Risk Assessment to Property Damage Prediction: the Value of Machine Learning

Peyman Abbaszadeh, Hamid Moradkhani, Ali Ahmadalipour, 2020 .

OPTIMUM STORAGE REALLOCATION AND GATE OPERATION IN MULTIPURPOSE RESERVOIRS

Hamid Moradkhani, 1996 .

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

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

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

Kuolin Hsu, Soroosh Sorooshian, Hamid Moradkhani, 2008 .

Towards an Effective and Scalable Hybrid Data Assimilation for Hydrogeophysical Applications

Peyman Abbaszadeh, Hamid Moradkhani, Kayhan Gavahi, 2020 .

Towards improved post‐processing of hydrologic forecast ensembles

Hamid Moradkhani, Shahrbanou Madadgar, David Garen, 2014 .

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

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

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

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

An Approach for Long-lead Probabilistic Forecast of Droughts

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

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

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

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 .

From Drought Monitoring to Forecasting: A Statistical-Dynamical Modeling Framework

Hamid Moradkhani, 2017 .

A regional Bayesian hierarchical model for flood frequency analysis

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

Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling

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

Evaluating and improving the forecast skill of NMME dataset over the CONUS; introducing an effective post-processing approach

Hamid Moradkhani, Ali Ahmadalipour, Sepideh Khajehei, 2016 .

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 .

Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping

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

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.

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

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

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..

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.

Drought Analysis under Climate Change Using Copula

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

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

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

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

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

Daily Discharge Forecasting Using Least Square Support Vector Regression and Regression Tree

Nasser Talebbeydokhti, Hamid Moradkhani, Shahram Sahraei, 2015 .

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

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

Uncertainty assessment of climate change impacts for hydrologically distinct river basins

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

Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

Lucy Marshall, Hamid Moradkhani, Ashish Sharma, 2018 .

Improving the Ensemble Streamflow Prediction by Adjusting Hydrologic Ensemble Traces

Hamid Moradkhani, Shahrbanou Madadgar, 2011 .

Ensemble Combination of Seasonal Streamflow Forecasts

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

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 .

Field Investigation of Success Factors of Fish Passageways in Oregon

Hamid Moradkhani, David N Sillars, Nicholas Tymvios, 2010 .

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

Lucy Marshall, Hamid Moradkhani, Ashish Sharma, 2016 .

A Bayesian Framework for Probabilistic Seasonal Drought Forecasting

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

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.

On the assessment of reliability in probabilistic hydrometeorological event forecasting

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

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

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

Revisiting hydrological drought propagation and recovery considering water quantity and quality

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

Assessing model state and forecasts variation in hydrologic data assimilation

Gift Dumedah, Paulin Coulibaly, Hamid Moradkhani, 2014 .

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

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

Improved Bayesian Multi-Modeling: Integration of Copulas and

Hamid Moradkhani, H. Moradkhani, 2014 .

Assessment of climate change impact on floodplain and hydrologic ecotones.

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

Analysis of runoff extremes using spatial hierarchical Bayesian modeling

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

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

Hongxiang Yan, Hamid Moradkhani, Ali Ahmadalipour, 2017 .