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Peyman Abbaszadeh
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Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method
P Abbaszadeh, H Moradkhani, X Zhan
Water Resources Research 55 (1), 324-344, 2019
1772019
A new hybrid artificial neural networks for rainfall–runoff process modeling
S Asadi, J Shahrabi, P Abbaszadeh, S Tabanmehr
Neurocomputing 121, 470-480, 2013
1772013
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index
L Xu, P Abbaszadeh, H Moradkhani, N Chen, X Zhang
Remote Sensing of Environment 250, 112028, 2020
1412020
Enhancing hydrologic data assimilation by evolutionary particle filter and Markov chain Monte Carlo
P Abbaszadeh, H Moradkhani, H Yan
Advances in Water Resources 111, 192-204, 2018
1282018
Causes of the widespread 2019–2020 Australian bushfire season
P Deb, H Moradkhani, P Abbaszadeh, AS Kiem, J Engström, D Keellings, ...
Earth's Future 8 (11), 1-17, 2020
1272020
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting
K Gavahi, P Abbaszadeh, H Moradkhani
Expert Systems with Applications 184, 115511, 2021
1232021
A review of the 21st century challenges in the food-energy-water security in the Middle East
M Hameed, H Moradkhani, A Ahmadalipour, H Moftakhari, P Abbaszadeh, ...
Water 11 (4), 682, 2019
1182019
The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework
P Abbaszadeh, H Moradkhani, DN Daescu
Water Resources Research 55 (3), 2407-2431, 2019
932019
Hazard risk awareness and disaster management: Extracting the information content of twitter data
M Karimiziarani, K Jafarzadegan, P Abbaszadeh, W Shao, H Moradkhani
Sustainable Cities and Society 77, 103577, 2022
912022
Leveraging machine learning for predicting flash flood damage in the Southeast US
A Alipour, A Ahmadalipour, P Abbaszadeh, H Moradkhani
Environmental Research Letters 15 (2), 024011, 2020
882020
Bayesian multi-modeling of deep neural nets for probabilistic crop yield prediction
P Abbaszadeh, K Gavahi, A Alipour, P Deb, H Moradkhani
Agricultural and Forest Meteorology 314, 108773, 2022
832022
Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting
P Abbaszadeh, K Gavahi, H Moradkhani
Advances in Water Resources 145, 103721, 2020
802020
Multivariate assimilation of remotely sensed soil moisture and evapotranspiration for drought monitoring
K Gavahi, P Abbaszadeh, H Moradkhani, X Zhan, C Hain
Journal of Hydrometeorology 21 (10), 2293-2308, 2020
722020
Fundamentals of Data Assimilation and Theoretical Advances
H Moradkhani, G Nearing, P Abbaszadeh, S Pathiraja
Handbook of Hydrometeorological Ensemble Forecasting, 1-26, 2018
652018
Recent advances and new frontiers in riverine and coastal flood modeling
K Jafarzadegan, H Moradkhani, F Pappenberger, H Moftakhari, P Bates, ...
Reviews of Geophysics 61 (2), e2022RG000788, 2023
562023
Sequential data assimilation for real-time probabilistic flood inundation mapping
K Jafarzadegan, P Abbaszadeh, H Moradkhani
Hydrology and Earth System Sciences 25 (9), 4995-5011, 2021
482021
Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation
DF Muñoz, P Abbaszadeh, H Moftakhari, H Moradkhani
Coastal Engineering 171, 104057, 2022
422022
High-resolution SMAP satellite soil moisture product: Exploring the opportunities
P Abbaszadeh, H Moradkhani, K Gavahi, S Kumar, C Hain, X Zhan, ...
Bulletin of the American Meteorological Society 102 (4), 309-315, 2021
382021
Assessing irrigation mitigating drought impacts on crop yields with an integrated modeling framework
P Deb, H Moradkhani, X Han, P Abbaszadeh, L Xu
Journal of Hydrology 609, 127760, 2022
372022
Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique
P Abbaszadeh
Water Resources Management 30 (5), 1701-1721, 2016
332016
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Artikler 1–20