Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Yaqiang Wang
Chinese Academy of Meteorological Sciences, Beijing 100081, China
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Yuanyuan Zheng
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Xiaoran Zhuang
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
Jiangsu Meteorological Observatory, Nanjing 210041, China
Hongyan Wang
Chinese Academy of Meteorological Sciences, Beijing 100081, China
Mei Gao
Chinese Academy of Meteorological Sciences, Beijing 100081, China
Viewed
Total article views: 4,593 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,104
1,374
115
4,593
196
145
199
HTML: 3,104
PDF: 1,374
XML: 115
Total: 4,593
Supplement: 196
BibTeX: 145
EndNote: 199
Views and downloads (calculated since 09 Jan 2023)
Cumulative views and downloads
(calculated since 09 Jan 2023)
Total article views: 3,564 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,556
908
100
3,564
196
131
184
HTML: 2,556
PDF: 908
XML: 100
Total: 3,564
Supplement: 196
BibTeX: 131
EndNote: 184
Views and downloads (calculated since 30 Jun 2023)
Cumulative views and downloads
(calculated since 30 Jun 2023)
Total article views: 1,029 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
548
466
15
1,029
14
15
HTML: 548
PDF: 466
XML: 15
Total: 1,029
BibTeX: 14
EndNote: 15
Views and downloads (calculated since 09 Jan 2023)
Cumulative views and downloads
(calculated since 09 Jan 2023)
Viewed (geographical distribution)
Total article views: 4,593 (including HTML, PDF, and XML)
Thereof 4,566 with geography defined
and 27 with unknown origin.
Total article views: 3,564 (including HTML, PDF, and XML)
Thereof 3,554 with geography defined
and 10 with unknown origin.
Total article views: 1,029 (including HTML, PDF, and XML)
Thereof 1,012 with geography defined
and 17 with unknown origin.
Due to the small-scale and nonstationary nature of convective wind gusts (CGs), reliable CG nowcasting has remained unattainable. Here, we developed a deep learning model — namely CGsNet — for 0—2 h of quantitative CG nowcasting, first achieving minute—kilometer-level forecasts. Based on the CGsNet model, the average surface wind speed (ASWS) and peak wind gust speed (PWGS) predictions are obtained. Experiments indicate that CGsNet exhibits higher accuracy than the traditional method.
Due to the small-scale and nonstationary nature of convective wind gusts (CGs), reliable CG...
