2023
DOI: 10.3390/rs15051216
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Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations

Abstract: Understanding the vertical structures of cloud condensation nuclei (CCN) and ice-nucleating particle (INP) number concentrations in desert source regions is crucial for examining dust-cloud interactions and other related impacts. To explore the vertical profiles of the CCN and INP number concentrations and their possible atmospheric–dynamic influence factors at the center of the Taklimakan Desert, intensive observations were conducted by employing a ground-based polarization Raman lidar, sounding balloons, and… Show more

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Cited by 4 publications
(1 citation statement)
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“…Following Jimenez's work, in 2023, Zhang et al introduced a dual-FOV high-spectral-resolution Lidar (HSRL) for simultaneous analysis of aerosol and water cloud properties, particularly the microphysical properties of liquid water clouds. This instrument allowed for continuous monitoring of aerosols and clouds and underwent validation through synchronous observations, including Monte Carlo simulations and other methods, to investigate the interplay between aerosol levels and the microphysical properties of liquid water clouds [130]. Another important application, aside from distinguishing various aerosols' shapes, is the identification of different types/altitudes of clouds.…”
Section: Atmospheric Remote Sensingmentioning
confidence: 99%
“…Following Jimenez's work, in 2023, Zhang et al introduced a dual-FOV high-spectral-resolution Lidar (HSRL) for simultaneous analysis of aerosol and water cloud properties, particularly the microphysical properties of liquid water clouds. This instrument allowed for continuous monitoring of aerosols and clouds and underwent validation through synchronous observations, including Monte Carlo simulations and other methods, to investigate the interplay between aerosol levels and the microphysical properties of liquid water clouds [130]. Another important application, aside from distinguishing various aerosols' shapes, is the identification of different types/altitudes of clouds.…”
Section: Atmospheric Remote Sensingmentioning
confidence: 99%