Deep learning-based 12-hour global dust distribution forecasting on Martian
Martian dust storms have a profound impact on atmospheric structure, pose multiple risks to Mars landers, and greatly affect the accuracy of sounders. This makes the accurate short-term prediction of dust storms extremely important for future Mars exploration missions. However, traditional statistic...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | zho |
| Publicado: |
Editorial Office of Reviews of Geophysics and Planetary Physics
2024-07-01
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| Colección: | 地球与行星物理论评 |
| Materias: | |
| Acceso en línea: | https://www.sjdz.org.cn/en/article/doi/10.19975/j.dqyxx.2023-057 |