Metalearning approach coupled with CMIP6 multi-GCM for future monthly streamflow forecasting
Spatial and temporal variability of streamflow due to climate change affects hydrological processes and irrigation demands at a basin scale. This study investigated the impacts of climate change on the Kurau River in Malaysia using metalearning, an ensemble machine learning technique using support v...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
American Society of Civil Engineers (ASCE)
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103255/ http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0002176 |
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