A robust error correction method for numerical weather prediction wind speed based on Bayesian optimization, variational mode decomposition, principal component analysis, and random forest: VMD-PCA-RF (version 1.0.0)
Shaohui Zhou,Chloe Yuchao Gao,Zexia Duan,Xingya Xi,and Yubin Li
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Xingya Xi
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Yubin Li
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Viewed
Total article views: 2,656 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,906
661
89
2,656
159
81
144
HTML: 1,906
PDF: 661
XML: 89
Total: 2,656
Supplement: 159
BibTeX: 81
EndNote: 144
Views and downloads (calculated since 31 May 2023)
Cumulative views and downloads
(calculated since 31 May 2023)
Total article views: 2,107 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,521
531
55
2,107
115
71
132
HTML: 1,521
PDF: 531
XML: 55
Total: 2,107
Supplement: 115
BibTeX: 71
EndNote: 132
Views and downloads (calculated since 02 Nov 2023)
Cumulative views and downloads
(calculated since 02 Nov 2023)
Total article views: 549 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
385
130
34
549
44
10
12
HTML: 385
PDF: 130
XML: 34
Total: 549
Supplement: 44
BibTeX: 10
EndNote: 12
Views and downloads (calculated since 31 May 2023)
Cumulative views and downloads
(calculated since 31 May 2023)
Viewed (geographical distribution)
Total article views: 2,656 (including HTML, PDF, and XML)
Thereof 2,635 with geography defined
and 21 with unknown origin.
Total article views: 2,107 (including HTML, PDF, and XML)
Thereof 2,095 with geography defined
and 12 with unknown origin.
Total article views: 549 (including HTML, PDF, and XML)
Thereof 540 with geography defined
and 9 with unknown origin.
The proposed wind speed correction model (VMD-PCA-RF) demonstrates the highest prediction accuracy and stability in the five southern provinces in nearly a year and at different heights. VMD-PCA-RF evaluation indices for 13 months remain relatively stable: the forecasting accuracy rate FA is above 85 %. In future research, the proposed VMD-PCA-RF algorithm can be extrapolated to the 3 km grid points of the five southern provinces to generate a 3 km grid-corrected wind speed product.
The proposed wind speed correction model (VMD-PCA-RF) demonstrates the highest prediction...
