Ensemble learning of daily river discharge modeling for two watersheds with different climates
Abstract In order to reduce the uncertainties and improve the river discharge modeling accuracy, several topography‐based hydrological models (TOPMODEL), generated by different combinations of parameters, were incorporated into an ensemble learning framework with the boosting method. Both the Baohe...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-11-01
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| Series: | Atmospheric Science Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/asl.1000 |