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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2,887
929
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3,926
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138
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EndNote: 138
Views and downloads (calculated since 09 Mar 2021)
Cumulative views and downloads
(calculated since 09 Mar 2021)
Total article views: 3,123 (including HTML, PDF, and XML)
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EndNote
2,421
604
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3,123
143
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HTML: 2,421
PDF: 604
XML: 98
Total: 3,123
Supplement: 143
BibTeX: 95
EndNote: 130
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Cumulative views and downloads
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Total article views: 803 (including HTML, PDF, and XML)
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466
325
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803
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HTML: 466
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Views and downloads (calculated since 09 Mar 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,926 (including HTML, PDF, and XML)
Thereof 3,683 with geography defined
and 243 with unknown origin.
Total article views: 3,123 (including HTML, PDF, and XML)
Thereof 2,981 with geography defined
and 142 with unknown origin.
Total article views: 803 (including HTML, PDF, and XML)
Thereof 702 with geography defined
and 101 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...
