VarteX: Enhancing Weather Forecast through Distributed Variable Representation
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909232908992512 |
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| author | Ueyama, Ayumu Kawamoto, Kazuhiko Kera, Hiroshi |
| author_facet | Ueyama, Ayumu Kawamoto, Kazuhiko Kera, Hiroshi |
| contents | Weather forecasting is essential for various human activities. Recent data-driven models have outperformed numerical weather prediction by utilizing deep learning in forecasting performance. However, challenges remain in efficiently handling multiple meteorological variables. This study proposes a new variable aggregation scheme and an efficient learning framework for that challenge. Experiments show that VarteX outperforms the conventional model in forecast performance, requiring significantly fewer parameters and resources. The effectiveness of learning through multiple aggregations and regional split training is demonstrated, enabling more efficient and accurate deep learning-based weather forecasting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19615 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | VarteX: Enhancing Weather Forecast through Distributed Variable Representation Ueyama, Ayumu Kawamoto, Kazuhiko Kera, Hiroshi Machine Learning Atmospheric and Oceanic Physics Weather forecasting is essential for various human activities. Recent data-driven models have outperformed numerical weather prediction by utilizing deep learning in forecasting performance. However, challenges remain in efficiently handling multiple meteorological variables. This study proposes a new variable aggregation scheme and an efficient learning framework for that challenge. Experiments show that VarteX outperforms the conventional model in forecast performance, requiring significantly fewer parameters and resources. The effectiveness of learning through multiple aggregations and regional split training is demonstrated, enabling more efficient and accurate deep learning-based weather forecasting. |
| title | VarteX: Enhancing Weather Forecast through Distributed Variable Representation |
| topic | Machine Learning Atmospheric and Oceanic Physics |
| url | https://arxiv.org/abs/2406.19615 |