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 | 41 | 2022 |
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 | 30 | 2023 |
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 | 20 | 2021 |
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 | 19 | 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 | 17 | 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 | 12 | 2023 |
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 |
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 | 2 | 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 | | 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 |