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
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4,068
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279
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XML: 189
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BibTeX: 206
EndNote: 279
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Cumulative views and downloads
(calculated since 08 Jan 2024)
Total article views: 2,623 (including HTML, PDF, and XML)
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2,347
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2,623
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HTML: 2,347
PDF: 180
XML: 96
Total: 2,623
Supplement: 94
BibTeX: 83
EndNote: 129
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Total article views: 2,444 (including HTML, PDF, and XML)
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1,721
630
93
2,444
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150
HTML: 1,721
PDF: 630
XML: 93
Total: 2,444
BibTeX: 123
EndNote: 150
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 5,067 (including HTML, PDF, and XML)
Thereof 5,045 with geography defined
and 22 with unknown origin.
Total article views: 2,623 (including HTML, PDF, and XML)
Thereof 2,619 with geography defined
and 4 with unknown origin.
Total article views: 2,444 (including HTML, PDF, and XML)
Thereof 2,426 with geography defined
and 18 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...
