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Ehsan Foroumandi
Ehsan Foroumandi
Verified email at crimson.ua.edu - Homepage
Title
Cited by
Cited by
Year
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
382022
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
242023
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
182021
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
172022
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
162021
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
92023
A deep learning-based framework for multi-source precipitation fusion
K Gavahi, E Foroumandi, H Moradkhani
Remote Sensing of Environment 295, 113723, 2023
52023
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
12024
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
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