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Dive into the research topics where Awad Mohammed Ali is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Can CNN-LSTM and lumped models improve (extreme) streamflow prediction of semi-distributed models? A comparative analysis of two hybrid frameworks
Mohamed, A., M. Ali, A., Ali, A., Hassan, O., E. Elbasheer, M. & Abdelaziz, M., 2025.Research output: Contribution to conference › Abstract
Open Access -
Global hydropower potential affected by interplay between forest restoration and climate change
M. Ali, A., Hoek van Dijke, A. J., Roebroek, C. T. J., van Emmerik, T., Scheffer, P. J. J. P. & Teuling, R., 2025.Research output: Contribution to conference › Abstract
Open Access -
Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms
Alghafli, K., Shi, X., Sloan, W. & Ali, A. M., Feb 2025, In: Groundwater for Sustainable Development. 28, 19 p., 101389.Research output: Contribution to journal › Article › Academic › peer-review
Open Access4 Link opens in a new tab Citations (Scopus) -
Machine Learning for Predicting Spatially Variable Lateral Hydraulic Conductivity: A Step Toward Efficient Hydrological Model Calibration and Global Applicability
Ali, A. M., Imhoff, R. O. & Weerts, A. H., 15 Oct 2025, In: Water Resources Research. 61, 10, e2025WR040108.Research output: Contribution to journal › Article › Academic › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions
Ali, A. M., Abdallah, M., Mohammadi, B. & Elzain, H. E., Jun 2025, In: Journal of Hydrology: Regional Studies. 59, 102337.Research output: Contribution to journal › Article › Academic › peer-review
Open Access7 Link opens in a new tab Citations (Scopus)
Datasets
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Dataset underlying the publication: Machine learning for predicting spatially variable lateral hydraulic conductivity: a step towards efficient hydrological model calibration and global applicability
Mohammed Ali, A. (Creator), Imhoff, R. (Creator) & Weerts, A. H. (Creator), Wageningen University & Research, 27 Aug 2025
DOI: 10.4121/6e994451-5c8e-41c6-a9e3-4f7343bec22a
Dataset
Projects
- 1 Active
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HydroTrans: Developing and validating a game-changing global dataset for transparent water management in transboundary basins
Mohammed Ali, A. (PhD candidate), Teuling, R. (Promotor) & van der Ploeg, M. (Promotor)
15/11/23 → …
Project: PhD