Articles | Volume 19, issue 6
https://doi.org/10.5194/amt-19-2061-2026
https://doi.org/10.5194/amt-19-2061-2026
Research article
 | 
25 Mar 2026
Research article |  | 25 Mar 2026

All-sky temperature and humidity retrieval from the MWRI-RM onboard the FY-3G satellite

Minghua Liu, Wei Han, Yunfan Yang, Haofei Sun, and Ruoying Yin

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Short summary
This research develops a machine learning approach to estimate atmospheric temperature and relative humidity profiles using satellite and weather data. The results showed that our method could accurately retrieve profiles with a high degree of precision. However, we found some limitations in very humid conditions, suggesting that further improvements to the model are needed. Our findings could help enhance the reliability of atmospheric measurements and contribute to better weather predictions.
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