The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities-Reference-Cited by-同舟云学术

The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities

Published:2022-06 Issue: Volume:271 Page:106121
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Liu Boming,Ma Xin,Ma Yingying,Li Hui,Jin Shikuan,Fan Ruonan,Gong Wei

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference48 articles.

1. How much of the global aerosol optical depth is found in the boundary layer and free troposphere?;Bourgeois;Atmos. Chem. Phys.,2018

2. Full-time, eye-safe cloud and aerosol lidar observation at atmospheric radiation measurement program sites: instruments and data processing;Campbell;J. Atmos. Ocean. Technol.,2002

3. Micropulse lidar observations of tropospheric aerosols over northeastern South Africa during the ARREX and SAFARI 2000 dry season experiments;Campbell;J. Geophys. Res.-Atmos.,2003

4. Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements;Che;Atmos. Chem. Phys.,2014

5. Enhanced haze pollution by black carbon in megacities in China;Ding;Geophys. Res. Lett.,2016

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