Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning
Sea surface temperature (SST) is one of the main factors for drought forecasting. Conventional forecasting models mainly use SST from fixed sea areas (e.g., ENSO), without searching for available SST signals from a global large-scale perspective. Combining with the random forest algorithm, this pape...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2024-05-01
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| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2024.05.011 |
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