State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
University of Chinese Academy of Sciences, Beijing, 100101, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorology Center, Beijing, 100081, China
Philippe Goloub
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, 59000 Lille, France
Zhengqiang Li
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
Igor Veselovskii
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, 119991, Russia
Thierry Podvin
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, 59000 Lille, France
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
Mikhail Korenskiy
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, 119991, Russia
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3,329
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Total article views: 4,719 (including HTML, PDF, and XML)
Thereof 4,719 with geography defined
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Total article views: 4,069 (including HTML, PDF, and XML)
Thereof 4,069 with geography defined
and 0 with unknown origin.
Total article views: 650 (including HTML, PDF, and XML)
Thereof 648 with geography defined
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This study presents the characteristics of Taklamakan dust particles derived from lidar measurements collected in the dust aerosol observation field campaign. It provides comprehensive parameters for Taklamakan dust properties and vertical distributions of Taklamakan dust. This paper also points out the importance of polluted dust which was frequently observed in the field campaign. The results contribute to improving knowledge about dust and reducing uncertainties in the climatic model.
This study presents the characteristics of Taklamakan dust particles derived from lidar...