| A new hybrid artificial neural networks for rainfall–runoff process modeling S Asadi, J Shahrabi, P Abbaszadeh, S Tabanmehr Neurocomputing 121, 470-480, 2013 | 167 | 2013 |
| 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 | 150 | 2019 |
| 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 | 114 | 2020 |
| 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 | 111 | 2018 |
| 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 | 94 | 2020 |
| 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 | 93 | 2019 |
| 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 | 81 | 2019 |
| 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 | 80 | 2021 |
| 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 | 68 | 2020 |
| 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 | 63 | 2020 |
| 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 | 62 | 2022 |
| Fundamentals of Data Assimilation and Theoretical Advances H Moradkhani, G Nearing, P Abbaszadeh, S Pathiraja Handbook of Hydrometeorological Ensemble Forecasting, 1-26, 2018 | 53 | 2018 |
| 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 | 51 | 2020 |
| 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 | 49 | 2022 |
| 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 | 35 | 2021 |
| 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 | 32 | 2021 |
| Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique P Abbaszadeh Water Resources Management 30 (5), 1701-1721, 2016 | 32 | 2016 |
| 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 | 31 | 2022 |
| Development of a coupled wavelet transform and evolutionary Levenberg-Marquardt neural networks for hydrological process modeling P Abbaszadeh, A Alipour, S Asadi Computational Intelligence, 1-25, 2017 | 30 | 2017 |
| A new hybrid algorithm for rainfall–runoff process modeling based on the wavelet transform and genetic fuzzy system V Nourani, A Tahershamsi, P Abbaszadeh, J Shahrabi, E Hadavandi Journal of Hydroinformatics 16 (5), 1004-1024, 2014 | 30 | 2014 |
Hamid MoradkhaniProfessor of Civil Engineering, University of AlabamaVerified email at ua.edu
