Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-505-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-505-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
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: 2,879 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,929 784 166 2,879 155 151
  • HTML: 1,929
  • PDF: 784
  • XML: 166
  • Total: 2,879
  • BibTeX: 155
  • EndNote: 151
Views and downloads (calculated since 29 Sep 2025)
Cumulative views and downloads (calculated since 29 Sep 2025)

Viewed (geographical distribution)

Total article views: 2,879 (including HTML, PDF, and XML) Thereof 2,798 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 14 Aug 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.
Read more
Share