A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India
Study region: The study focuses on the diverse climatic regions of India, spanning arid, semi-arid, sub-humid, and humid zones. Study focus: This research employs a novel hybrid machine learning (ML) framework for precise spatio-temporal reference evapotranspiration (ETo) modelling from 1970 to 2024...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825000953 |
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