Research on neural network training retrieval based on microwave radiometer observed brightness temperature data set
In order to improve the accuracy of the ground-based microwave radiometer retrievals of the atmospheric temperature and humidity profile, and enhance the observation performance of locally deployed devices, this study implements two kinds of neural network methods for ground-based radiometer. One is...
| Päätekijät: | , , , , , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | zho |
| Julkaistu: |
Editorial Office of Torrential Rain and Disasters
2022-08-01
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| Sarja: | 暴雨灾害 |
| Aiheet: | |
| Linkit: | http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2022.04.012 |