Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Cited by
38 articles.
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1. Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets;Water;2024-07-03
2. Unveiling the Accuracy of New-Generation Satellite Rainfall Estimates across Bolivia’s Complex Terrain;Remote Sensing;2024-06-18
3. Data assimilation with machine learning for constructing gridded rainfall time series data to assess long-term rainfall changes in the northeastern regions in India;Journal of Water and Climate Change;2024-06-01
4. Evaluation of the performance of satellite products and microphysical schemes with the aim of forecasting early flood warnings in arid and semi-arid regions (a case study of northeastern Iran);Natural Hazards;2024-05-24
5. Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran;ECRS 2023;2024-04-18