A novel evapotranspiration downscaling approach based on dynamic sensitive parameters and deep learning in the grassland lacking historical measurements
To address the challenges of ecohydrological modeling in data-scarce semi-arid steppe basins, this study developed the Distributed Dynamic Process Model (DDPM), integrating multi-source data and a novel evapotranspiration (ET) module enhanced by dynamic sensitivity parameters and deep learning. By l...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25007691 |
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