School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Zexia Duan
School of Electrical Engineering, Nantong University, Nantong 226019, China
Minghui Yu
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Viewed
Total article views: 5,505 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
4,347
885
273
5,505
122
279
364
HTML: 4,347
PDF: 885
XML: 273
Total: 5,505
Supplement: 122
BibTeX: 279
EndNote: 364
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads
(calculated since 08 Jan 2024)
Total article views: 2,915 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,511
231
173
2,915
122
147
206
HTML: 2,511
PDF: 231
XML: 173
Total: 2,915
Supplement: 122
BibTeX: 147
EndNote: 206
Views and downloads (calculated since 29 Jul 2025)
Cumulative views and downloads
(calculated since 29 Jul 2025)
Total article views: 2,590 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,836
654
100
2,590
132
158
HTML: 1,836
PDF: 654
XML: 100
Total: 2,590
BibTeX: 132
EndNote: 158
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads
(calculated since 08 Jan 2024)
Viewed (geographical distribution)
Total article views: 5,505 (including HTML, PDF, and XML)
Thereof 5,466 with geography defined
and 39 with unknown origin.
Total article views: 2,915 (including HTML, PDF, and XML)
Thereof 2,895 with geography defined
and 20 with unknown origin.
Total article views: 2,590 (including HTML, PDF, and XML)
Thereof 2,571 with geography defined
and 19 with unknown origin.
This study evaluates various machine learning and statistical methods for interpolating turbulent heat flux data over the Tibetan Plateau. The Transformer model showed the best performance, leading to the development of the Transformer_CNN model, which combines global and local attention mechanisms. Results show that Transformer_CNN outperforms the other models and was successfully applied to interpolate heat flux data from 2007 to 2016.
This study evaluates various machine learning and statistical methods for interpolating...
