Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,
School of Environmental Science and Engineering,
Nanjing University of Information Science and Technology, Nanjing, China
Delft Institute of Applied Mathematics, Delft University of Technology, Delft, the Netherlands
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,
School of Environmental Science and Engineering,
Nanjing University of Information Science and Technology, Nanjing, China
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Total article views: 4,072 (including HTML, PDF, and XML)
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Total
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2,923
1,035
114
4,072
149
109
140
HTML: 2,923
PDF: 1,035
XML: 114
Total: 4,072
Supplement: 149
BibTeX: 109
EndNote: 140
Views and downloads (calculated since 09 Mar 2021)
Cumulative views and downloads
(calculated since 09 Mar 2021)
Total article views: 3,257 (including HTML, PDF, and XML)
HTML
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Total
Supplement
BibTeX
EndNote
2,453
703
101
3,257
149
100
132
HTML: 2,453
PDF: 703
XML: 101
Total: 3,257
Supplement: 149
BibTeX: 100
EndNote: 132
Views and downloads (calculated since 10 Sep 2021)
Cumulative views and downloads
(calculated since 10 Sep 2021)
Total article views: 815 (including HTML, PDF, and XML)
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Total
BibTeX
EndNote
470
332
13
815
9
8
HTML: 470
PDF: 332
XML: 13
Total: 815
BibTeX: 9
EndNote: 8
Views and downloads (calculated since 09 Mar 2021)
Cumulative views and downloads
(calculated since 09 Mar 2021)
Viewed (geographical distribution)
Total article views: 4,072 (including HTML, PDF, and XML)
Thereof 3,831 with geography defined
and 241 with unknown origin.
Total article views: 3,257 (including HTML, PDF, and XML)
Thereof 3,118 with geography defined
and 139 with unknown origin.
Total article views: 815 (including HTML, PDF, and XML)
Thereof 713 with geography defined
and 102 with unknown origin.
When discussing the accuracy of a dust forecast, the shape and position of the plume as well as the intensity are key elements. The position forecast determines which locations will be affected, while the intensity only describes the actual dust level. A dust forecast with position misfit directly results in incorrect timing profiles of dust loads. In this paper, an image-morphing-based data assimilation is designed for realigning a simulated dust plume to correct for the position error.
When discussing the accuracy of a dust forecast, the shape and position of the plume as well as...
