Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 6
Articles | Volume 19, issue 6
https://doi.org/10.5194/amt-19-2061-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-2061-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 6
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

Viewed

Total article views: 4,503 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,942 1,433 128 4,503 122 157
  • HTML: 2,942
  • PDF: 1,433
  • XML: 128
  • Total: 4,503
  • BibTeX: 122
  • EndNote: 157
Views and downloads (calculated since 17 Mar 2025)
Cumulative views and downloads (calculated since 17 Mar 2025)

Viewed (geographical distribution)

Total article views: 4,503 (including HTML, PDF, and XML) Thereof 4,448 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 10 Aug 2026
Download
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.
Read more
Share