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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2,250
842
91
3,183
152
98
122
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XML: 91
Total: 3,183
Supplement: 152
BibTeX: 98
EndNote: 122
Views and downloads (calculated since 11 Feb 2022)
Cumulative views and downloads
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Total article views: 2,432 (including HTML, PDF, and XML)
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BibTeX
EndNote
1,781
579
72
2,432
152
92
114
HTML: 1,781
PDF: 579
XML: 72
Total: 2,432
Supplement: 152
BibTeX: 92
EndNote: 114
Views and downloads (calculated since 06 May 2022)
Cumulative views and downloads
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Total article views: 751 (including HTML, PDF, and XML)
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469
263
19
751
6
8
HTML: 469
PDF: 263
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Total: 751
BibTeX: 6
EndNote: 8
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Cumulative views and downloads
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Total article views: 3,183 (including HTML, PDF, and XML)
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Total article views: 2,432 (including HTML, PDF, and XML)
Thereof 2,403 with geography defined
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Total article views: 751 (including HTML, PDF, and XML)
Thereof 697 with geography defined
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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...
