publications

2025

1. 

   Integrating the interconnections between groundwater and land surface processes through the coupled NASA land information system and ParFlow environment

   Fadji Z Maina, Dan Rosen, Peyman Abbaszadeh, Chen Yang, and 3 more authors

   Journal of Advances in Modeling Earth Systems, 2025

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2. 

   Towards a Robust Hydrologic Data Assimilation System for Hurricane-induced River Flow Forecasting

   Peyman Abbaszadeh, Fatemeh Gholizadeh, Keyhan Gavahi, and Hamid Moradkhani

   Hydrology and Earth System Sciences, 2025

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2024

1. 

   Unravelling the impact of climate change and anthropogenic activities on streamflow: The benefit of newly developed evapotranspiration data

   Vahid Nourani, Ali Gholinia, Peyman Abbaszadeh, Ramin Ahmadi, and 1 more author

   Hydrological Sciences Journal, 2024

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2. 

   Agricultural Drought Monitoring: A Comparative Review of Conventional and Satellite-Based Indices

   Ali Gholinia, and Peyman Abbaszadeh

   Atmosphere, 2024

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2023

1. 

   Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling

   Keighobad Jafarzadegan, Hamid Moradkhani, Florian Pappenberger, Hamed Moftakhari, and 7 more authors

   Reviews of Geophysics, 2023

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2022

1. 

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

   Peyman Abbaszadeh, David Muñoz, Hamed Moftakhari, Keighobad Jafarzadegan, and 1 more author

   Iscience, 2022

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2. 

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

   Peyman Abbaszadeh, Keyhan Gavahi, Atieh Alipour, Proloy Deb, and 1 more author

   Agricultural and Forest Meteorology, 2022

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3. 

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

   David Muñoz, Peyman Abbaszadeh, Hamed Moftakhari, and Hamid Moradkhani

   Coastal Engineering, 2022

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4. 

   Unraveling the relationship between tropical storms and agricultural drought

   Jae Song, Peyman Abbaszadeh, Proloy Deb, and Hamid Moradkhani

   Earth’s Future, 2022

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5. 

   Hazard risk awareness and disaster management: Extracting the information content of twitter data

   Mohammadsepehr Karimiziarani, Keighobad Jafarzadegan, Peyman Abbaszadeh, and Hamid Moradkhani

   Sustainable Cities and Society, 2022

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6. 

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

   Proloy Deb, Peyman Abbaszadeh, and Hamid Moradkhani

   Agricultural and Forest Meteorology, 2022

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7. 

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

   Proloy Deb, Hamid Moradkhani, Xiaoliang Han, Peyman Abbaszadeh, and 1 more author

   Journal of Hydrology, 2022

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8. 

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

   Keyhan Gavahi, Peyman Abbaszadeh, and Moradkhani Hamid

   Science of The Total Environment, 2022

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9. 

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

   Johanna Engström, Peyman Abbaszadeh, David Keellings, Proloy Deb, and 1 more author

   Natural Hazards, 2022

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2021

1. 

   High-resolution SMAP satellite soil moisture product: Exploring the opportunities

   Peyman Abbaszadeh, Hamid Moradkhani, Keyhan Gavahi, Sujay Kumar, and 5 more authors

   Bulletin of the American Meteorological Society, 2021

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2. 

   Sequential data assimilation for real-time probabilistic flood inundation mapping

   Keighobad Jafarzadegan, Peyman Abbaszadeh, and Hamid Moradkhani

   Hydrology and Earth System Sciences, 2021

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3. 

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

   Keyhan Gavahi, Peyman Abbaszadeh, and Hamid Moradkhani

   Expert Systems with Applications, 2021

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4. 

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

   Chong Zhang, Peyman Abbaszadeh, Lei Xu, Hamid Moradkhani, and 2 more authors

   Water Resources Research, 2021

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2020

1. 

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

   Peyman Abbaszadeh, Keyhan Gavahi, and Hamid Moradkhani

   Advances in Water Resources, 2020

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2. 

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

   Lei Xu, Peyman Abbaszadeh, Hamid Moradkhani, Nengcheng Chen, and 1 more author

   Remote Sensing of Environment, 2020

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3. 

   Causes of the widespread 2019–2020 Australian bushfire season

   Proloy Deb, Hamid Moradkhani, Peyman Abbaszadeh, Anthony Kiem, and 3 more authors

   Earth’s Future, 2020

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4. 

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

   Atieh Alipour, Ali Ahmadalipour, Peyman Abbaszadeh, and Hamid Moradkhani

   Environmental Research Letters, 2020

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5. 

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

   Keyhan Gavahi, Peyman Abbaszadeh, Hamid Moradkhani, Xiwu Zhan, and 1 more author

   Journal of Hydrometeorology, 2020

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2019

1. 

   Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method

   Peyman Abbaszadeh, Hamid Moradkhani, and Xiwu Zhan

   Water Resources Research, 2019

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2. 

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

   Peyman Abbaszadeh, Hamid Moradkhani, and Dacian Daescu

   Water Resources Research, 2019

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3. 

   A review of the 21st century challenges in the food-energy-water security in the Middle East

   Maysoun Hameed, Hamid Moradkhani, Ali Ahmadalipour, Hamed Moftakhari, and 2 more authors

   Water, 2019

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2018

1. 

   Fundamentals of Data Assimilation and Theoretical Advances

   Hamid Moradkhani, Grey Nearing, Peyman Abbaszadeh, and Sahani Pathiraja

   Handbook of Hydrometeorological Ensemble Forecasting, 2018

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2. 

   Enhancing hydrologic data assimilation by evolutionary particle filter and Markov chain Monte Carlo

   Peyman Abbaszadeh, Hongxiang Yan, and Hamid Moradkhani

   Advances in Water Resources, 2018

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2017

1. 

   Development of a coupled wavelet transform and evolutionary Levenberg-Marquardt neural networks for hydrological process modeling

   Peyman Abbaszadeh, Atieh Alipour, and Shahrokh Asadi

   Computational Intelligence, 2017

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2016

1. 

   Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique

   Peyman Abbaszadeh

   Water Resources Management, 2016

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2014

1. 

   A new hybrid algorithm for rainfall–runoff process modeling based on the wavelet transform and genetic fuzzy system

   Vahid Nourani, Ahmad Tahershamsi, Peyman Abbaszadeh, Jamal Shahrabi, and 1 more author

   Journal of Hydroinformatics, 2014

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2013

1. 

   A new hybrid artificial neural networks for rainfall–runoff process modeling

   Shahrokh Asadi, Jamal Shahrabi, Peyman Abbaszadeh, and Shabnam Tabanmehr

   Neurocomputing, 2013

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