Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 3
Articles | Volume 19, issue 3
https://doi.org/10.5194/amt-19-1059-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-1059-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 3
Research article
 | 
16 Feb 2026
Research article |  | 16 Feb 2026

Improved estimation of diurnal variations in near-global PBLH through a hybrid WCT and transfer learning approach

Yarong Li, Zeyang Liu, and Jianjun He

Viewed

Total article views: 386 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
240 114 32 386 42 23 21
  • HTML: 240
  • PDF: 114
  • XML: 32
  • Total: 386
  • Supplement: 42
  • BibTeX: 23
  • EndNote: 21
Views and downloads (calculated since 15 Oct 2025)
Cumulative views and downloads (calculated since 15 Oct 2025)

Viewed (geographical distribution)

Total article views: 386 (including HTML, PDF, and XML) Thereof 364 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Feb 2026
Download
Short summary
An attention-augmented ResNet and a transfer training are implemented to derive diurnal variations in near-global planetary boundary layer height. The transfer-trained model shows superior performances compared to conventional algorithms and non-transfer trained mode. The model predicted more reliable diurnal behaviors, with daily amplitude and peak timing approaching radiosonde results.
Read more
Share