An Application of Deep Learning Technique to Improve Subseasonal to Seasonal Rainfall Forecast over Java Island, Indonesia
Subseasonal to seasonal (S2S) rainfall forecast can benefit several sectors, such as water resources, hazard management, and agriculture. However, the forecast remains challenging due to its lack of skill. This study applies Convolutional AutoEncoders (ConvAE), a deep learning technique, to improve...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Bogor Agricultural University
2022-11-01
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| Series: | Journal of Natural Resources and Environmental Management |
| Subjects: | |
| Online Access: | https://journal.ipb.ac.id/index.php/jpsl/article/view/39478 |