| Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach E Foroumandi, V Nourani, JJ Huang, H Moradkhani Journal of Hydrology 616, 128838, 2023 | 50 | 2023 |
| Investigating the main reasons for the tragedy of large saline lakes: Drought, climate change, or anthropogenic activities? A call to action E Foroumandi, V Nourani, SA Kantoush Journal of Arid Environments 196, 104652, 2022 | 45 | 2022 |
| A deep learning-based framework for multi-source precipitation fusion K Gavahi, E Foroumandi, H Moradkhani Remote Sensing of Environment 295, 113723, 2023 | 28 | 2023 |
| Linking spatial–temporal changes of vegetation cover with hydroclimatological variables in terrestrial environments with a focus on the lake Urmia Basin E Foroumandi, V Nourani, D Dąbrowska, SA Kantoush Land 11 (1), 115, 2022 | 24 | 2022 |
| Ecological-environmental quality estimation using remote sensing and combined artificial intelligence techniques V Nourani, E Foroumandi, E Sharghi, D Dąbrowska Journal of Hydroinformatics 23 (1), 47-65, 2021 | 24 | 2021 |
| Climate change or regional human impacts? Remote sensing tools, artificial neural networks, and wavelet approaches aim to solve the problem E Foroumandi, V Nourani, E Sharghi Hydrology Research 52 (1), 176-195, 2021 | 23 | 2021 |
| ChatGPT in hydrology and earth sciences: Opportunities, prospects, and concerns E Foroumandi, H Moradkhani, X Sanchez‐Vila, K Singha, A Castelletti, ... Water Resources Research 59 (10), e2023WR036288, 2023 | 20 | 2023 |
| Spatiotemporal assessment of groundwater quality and quantity using geostatistical and ensemble artificial intelligence tools V Nourani, A Ghaffari, N Behfar, E Foroumandi, A Zeinali, CQ Ke, ... Journal of Environmental Management 355, 120495, 2024 | 6 | 2024 |
| 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 | 4 | 2024 |
| Enhancing streamflow prediction in ungauged basins using a nonlinear knowledge‐based framework and deep learning P Ghaneei, E Foroumandi, H Moradkhani Water Resources Research 60 (11), e2024WR037152, 2024 | 3 | 2024 |
| A probabilistic machine learning framework for daily extreme events forecasting A Sattari, E Foroumandi, K Gavahi, H Moradkhani Expert Systems with Applications 265, 126004, 2025 | 1 | 2025 |
| Ensemble data assimilation for operational streamflow predictions in the next generation (NextGen) framework E Foroumandi, H Moradkhani, WF Krajewski, FL Ogden Environmental Modelling & Software 185, 106306, 2025 | 1 | 2025 |
| Global predictability of marine heatwave induced rapid intensification of tropical cyclones S Radfar, E Foroumandi, H Moftakhari, H Moradkhani, GR Foltz, ... Earth's Future 12 (12), e2024EF004935, 2024 | | 2024 |
| Improved Streamflow Forecasting by Deep Learning LSTM and Attention to Physical Rules E Foroumandi, H Moradkhani AGU23, 2023 | | 2023 |
| Baseflow prediction in ungauged basins using Bayesian multi-modeling to combine conceptual hydrological and deep learning models P Ghaneei, E Foroumandi, H Moradkhani AGU23, 2023 | | 2023 |
| Data Assimilation in the Nextgen Framework for Improved Streamflow Predictions S Timilsina, J Oh, P Ghaneei, E Foroumandi, P Passalacqua, MD Bartos, ... AGU23, 2023 | | 2023 |
| Development of an Ensemble Hydrologic Data Assimilation within NextGen Framework E Foroumandi, P Ghaneei, J Oh, S Timilsina, JM Frame, M Kumar, ... AGU23, 2023 | | 2023 |
| Generative Adversarial Network for Real-time Drought Monitoring E Foroumandi, K Gavahi, H Moradkhani AGU Fall Meeting Abstracts 2022, H22P-1038, 2022 | | 2022 |
| Natural Language Processing Insights from Twitter (X): An Ai-Powered Analysis of Public Sentiment and Humanitarian Concerns During the 2018 California Camp Fire M Karimiziarani, E Foroumandi, H Moradkhani Available at SSRN 5100814, 0 | | |
| Generative Hydrologic Ensemble Data Assimilation E Foroumandi, H Moradkhani AGU24, 0 | | |
Hamid MoradkhaniProfessor of Civil Engineering, University of AlabamaE-mailová adresa ověřena na: ua.edu