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Vertical Stratification of Dust and Anthropogenic Aerosols and Their Seasonal Impact on Radiative Forcing in Semi-Arid Northwest China

Gorde:
Argitaratua izan da:Atmosphere vol. 16, no. 6 (2025), p. 718
Egile nagusia: Gong Xin
Beste egile batzuk: Zhang Ruizhao, Sun, Xiaoling, Delong, Xiu, Mao Jiandong, Hu, Zhao, Rao, Zhimin
Argitaratua:
MDPI AG
Gaiak:
China
Taklamakan Desert
Optical thickness
Dust
Aerosols
Altitude
Semiarid climates
Human influences
Stratification
Radiation
Climate change
Radiative forcing
Deserts
Precipitation
Cooling
Optical properties
Semiarid zones
Carbon
Regions
Spring
Arid regions
Photometers
Albedo
Pollutants
Arid climates
Arid zones
Anthropogenic factors
Emissions
Data processing
Atmospheric aerosols
Outdoor air quality
Sun
Spring (season)
Climate
Atmosphere
Aerosol optical properties
Optical analysis
Atmospheric particulates
Aerosol optical depth
Vertical distribution
Trajectory analysis
Semi arid areas
Coal
Sarrera elektronikoa:Citation/Abstract
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Laburpena:Aerosol optical properties and radiative forcing critically influence Earth’s climate, particularly in semi-arid regions. This study investigates these properties in Yinchuan, Northwest China, focusing on aerosol optical depth (AOD), single-scattering albedo (SSA), Ångström Index, and direct radiative forcing (DRF) using 2023 CE-318 sun photometer data, HYSPLIT trajectory analysis, and the SBDART model. Spring AOD peaks at 0.58 ± 0.15 (500 nm) due to desert dust, with coarse-mode particles dominating, while summer SSA reaches 0.94, driven by fine-mode aerosols. Internal mixing of dust and anthropogenic aerosols significantly alters DRF through enhanced absorption, with spring surface DRF at −101 ± 22W m−2 indicating strong cooling and internal mixing increasing atmospheric DRF to 52.25W m−2. These findings elucidate dust–anthropogenic interactions’ impact on optical properties and radiative forcing, offering critical observations for semi-arid climate research.
ISSN:2073-4433
DOI:10.3390/atmos16060718
Baliabidea:Publicly Available Content Database