Articles | Volume 20, issue 14
https://doi.org/10.5194/acp-20-8839-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-8839-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jul 2020
Research article |
| 27 Jul 2020
| 27 Jul 2020
Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution
Haofei Wang
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing, 100101, China
University of Chinese Academy of Sciences, Beijing, 100101, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorology Center, Beijing, 100081, China
Zhengqiang Li
CORRESPONDING AUTHOR
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing, 100101, China
Yang Lv
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing, 100101, China
University of Chinese Academy of Sciences, Beijing, 100101, China
Ying Zhang
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing, 100101, China
Hua Xu
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing, 100101, China
Jianping Guo
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Philippe Goloub
Laboratoire d'Optique Atmospherique, UMR8518, CNRS – Université de Lille 1, Villeneuve d'Ascq, Lille, 59000, France
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- Characterization and source apportionment of carbonaceous aerosols in fine particles at urban and suburban atmospheres of Ankara, Turkey E. Koçak et al. 10.1007/s11356-020-12295-6
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- A Comparison of Wintertime Atmospheric Boundary Layer Heights Determined by Tethered Balloon Soundings and Lidar at the Site of SACOL M. Zhang et al. 10.3390/rs13091781
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- Vertical Differences of Nitrate Sources in Urban Boundary Layer Based on Tower Measurements M. Fan et al. 10.1021/acs.estlett.2c00600
15 citations as recorded by crossref.
- A new algorithm for planetary boundary layer height calculation based on multilayer recognition Y. Pan et al. 10.1016/j.atmosenv.2021.118919
- Atmospheric conditions and composition that influence PM<sub>2.5</sub> oxidative potential in Beijing, China S. Campbell et al. 10.5194/acp-21-5549-2021
- Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
- Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM) J. Hua et al. 10.1016/j.jenvman.2021.112676
- A novel lidar gradient cluster analysis method of nocturnal boundary layer detection during air pollution episodes Y. Zhang et al. 10.5194/amt-13-6675-2020
- Monitoring atmospheric particulate matters using vertically resolved measurements of a polarization lidar, in-situ recordings and satellite data over Tehran, Iran H. Panahifar et al. 10.1038/s41598-020-76947-w
- Exploring actionable visualizations for environmental data: Air quality assessment of two Belgian locations G. Carro et al. 10.1016/j.envsoft.2021.105230
- A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. 10.3390/rs14215436
- Characterization and source apportionment of carbonaceous aerosols in fine particles at urban and suburban atmospheres of Ankara, Turkey E. Koçak et al. 10.1007/s11356-020-12295-6
- Important Role of NO3 Radical to Nitrate Formation Aloft in Urban Beijing: Insights from Triple Oxygen Isotopes Measured at the Tower M. Fan et al. 10.1021/acs.est.1c02843
- Characteristics of particulate-bound n-alkanes indicating sources of PM2.5 in Beijing, China J. Yang et al. 10.5194/acp-23-3015-2023
- Theoretical and experimental investigation of the molecular depolarization ratio for broadband polarization lidar techniques Z. Kong et al. 10.1364/OE.494950
- A Comparison of Wintertime Atmospheric Boundary Layer Heights Determined by Tethered Balloon Soundings and Lidar at the Site of SACOL M. Zhang et al. 10.3390/rs13091781
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- Vertical Differences of Nitrate Sources in Urban Boundary Layer Based on Tower Measurements M. Fan et al. 10.1021/acs.estlett.2c00600
Latest update: 01 Nov 2024
Short summary
Lidar shows good performance in calculating the convective layer height in the daytime and the residual layer height at night, as well as having the potential to describe the stable layer height at night. The MLH seasonal change in Beijing indicates that it is low in winter and autumn and high in spring and summer. From 2014 to 2018, the magnitude of the diurnal cycle of MLH increased year by year. MLH from lidar shows better accuracy than a radiosonde when calculating surface pollution.
Lidar shows good performance in calculating the convective layer height in the daytime and the...
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