Seasonal and vertical distributions of aerosol type extinction coefficients with an emphasis on the impact of dust aerosol on the microphysical properties of cirrus over the Taklimakan Desert in Northwest China

Pan, Honglin; Wang, Minzhong; Kumar, K. Raghavendra; Lu, Hui; Mamtimin, Ali; Huo, Wen; Yang, Xinghua; Yang, Fan; Zhou, Chenglong

doi:10.1016/j.atmosenv.2019.02.004

Cited by 24 publications

(5 citation statements)

References 48 publications

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“…The vertical distribution characteristics of dust aerosols were often studied by means of satellite remote sensing, such as CALIPSO, moderate-resolution imaging spectroradiometer (MODIS) and simulation results [41][42][43]. By analyzing the seasonal and vertical distributions of aerosols using satellite remote sensing data, Pan et al [44] found that dust is the main type in the TD, accounting for 88.38% of all aerosols. However, due to the limitation of satellite remote sensing, it is difficult to study the diurnal variation of aerosol vertical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau

Dong

Huang

et al. 2022

Remote Sensing

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Previous studies have shown that dust aerosols may accelerate the melting of snow and glaciers over the Tibetan Plateau. To investigate the vertical structure of dust aerosols, we conducted a ground-based observation by using multi-wavelength polarization lidar which is designed for continuous network measurements. In this study, we used the lidar observation from September to October 2020 at the Ruoqiang site (39.0°N, 88.2°E; 894 m ASL), located at the junction of the Taklimakan Desert–Tibetan Plateau. Our results showed that dust aerosols can be lifted up to 5 km from the ground, which is comparable with the elevation of the Tibetan Plateau in autumn with a mass concentration of 400–900 μg m−3. Moreover, the particle depolarization ratio (PDR) of the lifted dust aerosols at 532 nm and 355 nm are 0.34 ± 0.03 and 0.25 ± 0.04, respectively, indicating the high degree of non-sphericity in shape. In addition, extinction-related Ångström exponents are very small (0.11 ± 0.24), implying the large values in size. Based on ground-based lidar observation, this study proved that coarse non-spherical Taklimakan dust with high concentration can be transported to the Tibetan Plateau, suggesting its possible impacts on the regional climate and ecosystem.

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Section: Introductionmentioning

confidence: 99%

Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau

Dong

Huang

et al. 2022

Remote Sensing

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“…Vegetation can absorb atmospheric particles, especially in dusty weather conditions. However, most dust events occur in spring (Pan et al ., 2019), when vegetation is sparse and vegetation coverage is low in most parts of Xinjiang, which reduces the capacity of vegetation to absorb dust or sand and leads to this weak relationship. In summary, compared with traditional methods, the model used in this study does not require linear assumptions, and the results of the biased dependence map and risk detector reveal a nonlinear and complex relationship between the driving factors and AOD.…”

Section: Discussionmentioning

confidence: 99%

Spatial heterogeneity and driving factors of aerosol in Western China: Analysis on multiangle implementation of atmospheric correction–aerosol optical depth in Xinjiang over 2001–2019

Ding

Jin

2022

Intl Journal of Climatology

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Knowledge of aerosol dynamics is essential to combating atmospheric aerosol pollution, and there is a growing interest in aerosol changes and their drivers. However, the effects of interactions between natural and anthropogenic drivers of aerosol are not well understood. Here, we analyse changes in aerosol optical depth (AOD) in Xinjiang, China using the multiangle implementation of atmospheric correction aerosol products over 2001–2019 and investigate the driving factors of aerosol dynamics using a random forest (RF) and a geographical detector. The results show the dominant AOD changes in the quasi‐period of 3.21 months, 7.86 months, 1.19 years, for seasonal, half‐year, and interannual variations of aerosols. The increasing and then decreasing nonlinear trends were observed in the interannual AOD variation during 19 years period. The importance ranking results of the two models indicated that meteorological factors dominated the spatial distribution of AOD in Xinjiang (72.73% for RF and 65.78% for the geographic detector), and that interactions between factors enhanced the explanatory power in AOD changes. In addition, the influence of anthropogenic factors on AOD was increasing in North Xinjiang, and the influence of precipitation and population on AOD was increasing in East Xinjiang. However, the influence of drivers on AOD in South Xinjiang was basically constant over time, showing the spatially heterogeneous relationship between AOD and drivers. This study emphasized the spatial heterogeneity and driving factors of small‐scale aerosols in arid regions and so can guide targeted air pollution prevention and control in local areas.

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“…The influence of desert dust aerosols on cirrus microphysical properties was investigated using concurrent and co-located datasets from CALIOP, CloudSat, and MODIS over the Taklimakan Desert [178]. The study highlighted the negative "Twomey effect" under arid conditions [56], where cloud albedo decreases due to increased heterogeneous nucleation.…”

Section: Impact Of Aerosol On Mixed and Cirrus Cloudsmentioning

confidence: 99%

Understanding Aerosol-Cloud Interactions Through Lidar Techniques: A Review

Cairo,

Di Liberto,

Dionisi

et al. 2024

Preprint

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Aerosol-cloud interactions play a crucial role in shaping Earth’s climate and hydrological 1 cycle. Observing these interactions with high precision and accuracy is of the utmost importance 2 for improving climate models and predicting Earth’s climate. Over the past few decades, lidar 3 techniques have emerged as powerful tools for investigating aerosol-cloud interactions due to their 4 ability to provide detailed vertical profiles of aerosol particles and clouds with high spatial and 5 temporal resolutions. This review paper provides an overview of recent advancements in the study 6 of aerosol-cloud interactions using lidar techniques. The paper begins with a description of the 7 different cloud microphysical processes that are affected by the presence of the aerosol, and with 8 an outline of lidar remote sensing application in characterizing aerosol particles and clouds. The 9 subsequent sections delve into the key findings and insights gained from lidar-based studies of 10 aerosol-cloud interactions. This includes investigations into the role of aerosol particles in cloud 11 formation, evolution, and microphysical properties. Finally, the review concludes with an outlook 12 on future research. By reporting the latest findings and methodologies, this review aims to provide 13 valuable insights for researchers engaged in climate science and atmospheric research.

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Seasonal and vertical distributions of aerosol type extinction coefficients with an emphasis on the impact of dust aerosol on the microphysical properties of cirrus over the Taklimakan Desert in Northwest China

Cited by 24 publications

References 48 publications

Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau

Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau

Spatial heterogeneity and driving factors of aerosol in Western China: Analysis on multiangle implementation of atmospheric correction–aerosol optical depth in Xinjiang over 2001–2019

Understanding Aerosol-Cloud Interactions Through Lidar Techniques: A Review

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