Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data
Study region: Iran, characterized by diverse climatic conditions, including arid, semi-arid, and humid subtropical regions, where ET₀ dynamics vary significantly due to climatic differences. Study focus: Reference evapotranspiration (ET₀) is a fundamental component of hydrological modelling and play...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825001685 |
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