State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
Cheng Fan
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Hua Xu
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
Ying Zhang
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
Weizhen Hou
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
Lili Qie
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Haoran Gu
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
College of Geography and Tourism, Anhui Normal University, Wuhu 241003, China
Mengyao Zhu
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China
Yinna Li
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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2,065
759
87
2,911
143
87
113
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PDF: 759
XML: 87
Total: 2,911
Supplement: 143
BibTeX: 87
EndNote: 113
Views and downloads (calculated since 11 Feb 2022)
Cumulative views and downloads
(calculated since 11 Feb 2022)
Total article views: 2,178 (including HTML, PDF, and XML)
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Total
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BibTeX
EndNote
1,606
504
68
2,178
143
81
105
HTML: 1,606
PDF: 504
XML: 68
Total: 2,178
Supplement: 143
BibTeX: 81
EndNote: 105
Views and downloads (calculated since 06 May 2022)
Cumulative views and downloads
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Total article views: 733 (including HTML, PDF, and XML)
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459
255
19
733
6
8
HTML: 459
PDF: 255
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Total: 733
BibTeX: 6
EndNote: 8
Views and downloads (calculated since 11 Feb 2022)
Cumulative views and downloads
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Total article views: 2,911 (including HTML, PDF, and XML)
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Total article views: 2,178 (including HTML, PDF, and XML)
Thereof 2,147 with geography defined
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Total article views: 733 (including HTML, PDF, and XML)
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A single model is difficult to represent various shapes of dust. We proposed a tunable model to represent dust with various shapes. Two tunable parameters were used to represent the effects of the erosion degree and binding forces from the mass center. Thus, the model can represent various dust shapes by adjusting the tunable parameters. Besides, the applicability of the spheroid model in calculating the optical properties and polarimetric characteristics is evaluated.
A single model is difficult to represent various shapes of dust. We proposed a tunable model to...
