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DOI10.1016/j.atmosenv.2020.117705
Insight into the climatology of different sand-dust aerosol types over the Taklimakan Desert based on the observations from radiosonde and A-train satellites
Pan, Honglin; Huo, Wen; Wang, Minzhong; Zhang, Jiantao; Meng, Lu; Kumar, Kanike Raghavendra; Devi, N. S. M. P. Latha
通讯作者Huo, W ; Wang, MZ
来源期刊ATMOSPHERIC ENVIRONMENT
ISSN1352-2310
EISSN1873-2844
出版年2020
卷号238
英文摘要The vertical distributions of sand-dust aerosols (SDAs) over the Taklimakan Desert (TD; 37 degrees N-41 degrees N, 78 degrees E-88 degrees E) that occurred during the spring are essential for both long-range transport and climate effects, apart from the living environment and health. In this study, we investigated the optical properties of SDAs and evaluated the correlation between optical properties and meteorological factors over the TD area located in the northwest of China. For this, we have utilized the A-train multiple-satellite remote sensing data provided quasi-synchronized observations by the Cloud-aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), CloudSat, and Moderate Resolution Imaging Spectroradiometer (MODIS) instruments for the study period during 2007-2010. Besides, we have verified the meteorological factors observed from the CALIPSO to know the applicability and reliability with the Radiosonde sounding data. We found that the cloud-aerosol discrimination (CAD) algorithm can accurately identify clouds and SDAs over the TD area, especially during blowing dust/floating dust (BD/FD). Overall, it is revealed that the total depolarization ratio of SDAs is below 0.5. Besides, the temperature (T) and pressure (P) of CALIPSO satellite products data are in excellent agreement with the radiosonde sounding measured data over the TD area. Further, most data points during the DS (BD/FD) event spread towards lower (higher) relative humidity (RH) ranged between 0.0386 and 0.6306 (0.1079 and 1.00). Our analysis provides the observational evidence from the CALIOP that the optical properties of vertical dust particles and meteorological elements over the TD have distinct variability below and above 4 km height for DS and BD/FD events. The results obtained will provide not only reliable reference values for the improvement of the CAD algorithm used in the CALIPSO but also provide critical information for model evaluation and enhancement of CALIPSO products.
英文关键词CALIPSO CloudSat Sand-dust aerosol Radiosonde Taklimakan desert
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000558539100002
WOS关键词VERTICAL-DISTRIBUTION ; GLOBAL DISTRIBUTION ; OPTICAL-PROPERTIES ; CALIPSO ; TRANSPORT ; EXTINCTION ; CLOUD ; LIDAR ; DEPOSITION ; POLLUTION
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构南京信息工程大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/325556
作者单位[Pan, Honglin; Huo, Wen; Wang, Minzhong; Zhang, Jiantao; Meng, Lu] China Meteorol Adm CMA, Taklimakan Desert Meteorol Field Expt Stn CMA, Inst Desert Meteorol, Urumqi 830002, Xinjiang, Peoples R China; [Kumar, Kanike Raghavendra; Devi, N. S. M. P. Latha] Koneru Lakshmaiah Educ Fdn KLEF, Dept Phys, Guntur 522502, Andhra Pradesh, India; [Kumar, Kanike Raghavendra] Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, China Meteorol Adm,Key Lab Meteorol Disaster,Coll, Key Lab Aerosol Cloud Precipitat,Minist Educ KLME, Nanjing 210044, Jiangsu, Peoples R China
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Pan, Honglin,Huo, Wen,Wang, Minzhong,et al. Insight into the climatology of different sand-dust aerosol types over the Taklimakan Desert based on the observations from radiosonde and A-train satellites[J]. 南京信息工程大学,2020,238.
APA Pan, Honglin.,Huo, Wen.,Wang, Minzhong.,Zhang, Jiantao.,Meng, Lu.,...&Devi, N. S. M. P. Latha.(2020).Insight into the climatology of different sand-dust aerosol types over the Taklimakan Desert based on the observations from radiosonde and A-train satellites.ATMOSPHERIC ENVIRONMENT,238.
MLA Pan, Honglin,et al."Insight into the climatology of different sand-dust aerosol types over the Taklimakan Desert based on the observations from radiosonde and A-train satellites".ATMOSPHERIC ENVIRONMENT 238(2020).
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