| 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 | 88 | 2021 |
| 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 | 66 | 2020 |
| Ensemble-based machine learning approach for improved leak detection in water mains T Ravichandran, K Gavahi, K Ponnambalam, V Burtea, SJ Mousavi Journal of Hydroinformatics 23 (2), 307-323, 2021 | 57 | 2021 |
| 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 | 56 | 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 | 53 | 2022 |
| 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 | 34 | 2021 |
| Adaptive forecast-based real-time optimal reservoir operations: application to Lake Urmia K Gavahi, SJ Mousavi, K Ponnambalam Journal of Hydroinformatics 21 (5), 908-924, 2019 | 29 | 2019 |
| How does precipitation data influence the land surface data assimilation for drought monitoring? K Gavahi, P Abbaszadeh, H Moradkhani Science of the Total Environment 831, 154916, 2022 | 18 | 2022 |
| Toward improved river boundary conditioning for simulation of extreme floods K Jafarzadegan, A Alipour, K Gavahi, H Moftakhari, H Moradkhani Advances in Water Resources 158, 104059, 2021 | 15 | 2021 |
| A multi-objective simulation–optimization approach for Design of Cutoff Walls and Apron of diversion dams MR Nikoo, K Gavahi, N Khoramshokooh Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2019 | 10 | 2019 |
| A deep learning-based framework for multi-source precipitation fusion K Gavahi, E Foroumandi, H Moradkhani Remote Sensing of Environment 295, 113723, 2023 | 7 | 2023 |
| Comparison of two data-driven streamflow forecast approaches in an adaptive optimal reservoir operation model K Gavahi, SJ Mousavi, K Ponnambalam EPiC Series in Engineering 3 (1), 755-763, 2018 | 6 | 2018 |
| Optimum Operation of Reservoirs in the Karkheh Basin in Iran Considering Impacts of Non-integrated Development and Climate Change MR Nikoo, A Karimi, R Kerachian, K Gavahi Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2017 | 4 | 2017 |
| The role of sreamflow forecast horizon in real-time reservoir operation K Gavahi, SJ Mousavi, K Ponnambalam Sustainable and Safe Dams Around the World/Un monde de barrages durables et …, 2019 | 3 | 2019 |
| Comparison of Two Streamflow Forecast Approaches in an Adaptive Optimal Reservoir Operation Model K Gavahi, SJ Mousavi, K Ponnambalam | 1 | 2018 |
| Real Time Operation Model for Optimum Operation of Bukan Reservoir in Lake Urmia Basin K Gavahi, SJ Mousavi proceedings of Long-Term Behaviour and Environmentally Friendly …, 2017 | 1 | 2017 |
| Generative adversarial network for real‐time flash drought monitoring: A deep learning study E Foroumandi, K Gavahi, H Moradkhani Water Resources Research 60 (5), e2023WR035600, 2024 | | 2024 |
| A cloud-based High-Resolution Multi-Source Precipitation Product Over CONUS K Gavahi, H Moradkhani 104th AMS Annual Meeting, 2024 | | 2024 |
| A Multi-dimensional Drought Impacts Assessment on US Hydroelectricity Generation P Moghaddasi, K Gavahi, H Moradkhani AGU23, 2023 | | 2023 |
| Hydroclimate Extreme Drivers and Impacts Depicted by Remote Sensing, Deep Learning, and Multivariate Data Assimilation Systems K Gavahi University of Alabama Libraries, 2023 | | 2023 |
Hamid MoradkhaniProfessor of Civil Engineering, University of Alabama在 ua.edu 的电子邮件经过验证
