Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-505-2026
https://doi.org/10.5194/gmd-19-505-2026
Model description paper
 | 
15 Jan 2026
Model description paper |  | 15 Jan 2026

Retrieving atmospheric thermodynamic and hydrometeor profiles using a thermodynamic-constrained Kalman filter 1D-Var framework based on ground-based microwave radiometer

Qi Zhang, Tianmeng Chen, Jianping Guo, Yu Wu, Bin Deng, and Junjie Yan

Viewed

Total article views: 1,072 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
802 207 63 1,072 49 48
  • HTML: 802
  • PDF: 207
  • XML: 63
  • Total: 1,072
  • BibTeX: 49
  • EndNote: 48
Views and downloads (calculated since 29 Sep 2025)
Cumulative views and downloads (calculated since 29 Sep 2025)

Viewed (geographical distribution)

Total article views: 1,072 (including HTML, PDF, and XML) Thereof 1,005 with geography defined and 67 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Mar 2026
Download
Short summary
We propose TCKF1D-Var, a thermodynamic-constrained variational framework for ground-based microwave radiometer retrievals. Using virtual potential temperature, a ratio-based cost function, and a microphysics closure, it reduces biases relative to ERA5 and 1D-Var, improves cloud liquid water representation, and enhances heavy rainfall precursors, extending lead times. This approach strengthens continuous profiling and supports high-impact weather nowcasting.
Share