Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
ACP | Articles | Volume 20, issue 14
Atmos. Chem. Phys., 20, 8839–8854, 2020
https://doi.org/10.5194/acp-20-8839-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Satellite and ground-based remote sensing of aerosol optical,...

Atmos. Chem. Phys., 20, 8839–8854, 2020
https://doi.org/10.5194/acp-20-8839-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 27 Jul 2020

Research article | 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 et al.

Related authors

The characterization of Taklamakan dust properties using a multi-wavelength Raman polarization lidar in Kashi, China
Qiaoyun Hu, Haofei Wang, Philippe Goloub, Zhengqiang Li, Igor Veselovskii, Thierry Podvin, Kaitao Li, and Mikhail Korenskiy
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-375,https://doi.org/10.5194/acp-2020-375, 2020
Preprint under review for ACP
Short summary
PRELIMINARY SENSITIVITY STUDY OF AEROSOL LAYER HEIGHT FROM SYNTHETIC MULTIANGLE POLARIMETRIC REMOTE SENSING MEASUREMENTS
W. Z. Hou, H. F. Wang, Z. Q. Li, L. L. Qie, B. Y. Ge, C. Fan, and S. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W9, 63–69, https://doi.org/10.5194/isprs-archives-XLII-3-W9-63-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W9-63-2019, 2019
Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China
Jun Chen, Zhanqing Li, Min Lv, Yuying Wang, Wei Wang, Yingjie Zhang, Haofei Wang, Xing Yan, Yele Sun, and Maureen Cribb
Atmos. Chem. Phys., 19, 1327–1342, https://doi.org/10.5194/acp-19-1327-2019,https://doi.org/10.5194/acp-19-1327-2019, 2019
Short summary

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Aerosol solar radiative forcing near the Taklimakan Desert based on radiative transfer and regional meteorological simulations during the Dust Aerosol Observation-Kashi campaign
Li Li, Zhengqiang Li, Wenyuan Chang, Yang Ou, Philippe Goloub, Chengzhe Li, Kaitao Li, Qiaoyun Hu, Jianping Wang, and Manfred Wendisch
Atmos. Chem. Phys., 20, 10845–10864, https://doi.org/10.5194/acp-20-10845-2020,https://doi.org/10.5194/acp-20-10845-2020, 2020
Short summary
An EARLINET early warning system for atmospheric aerosol aviation hazards
Nikolaos Papagiannopoulos, Giuseppe D'Amico, Anna Gialitaki, Nicolae Ajtai, Lucas Alados-Arboledas, Aldo Amodeo, Vassilis Amiridis, Holger Baars, Dimitris Balis, Ioannis Binietoglou, Adolfo Comerón, Davide Dionisi, Alfredo Falconieri, Patrick Fréville, Anna Kampouri, Ina Mattis, Zoran Mijić, Francisco Molero, Alex Papayannis, Gelsomina Pappalardo, Alejandro Rodríguez-Gómez, Stavros Solomos, and Lucia Mona
Atmos. Chem. Phys., 20, 10775–10789, https://doi.org/10.5194/acp-20-10775-2020,https://doi.org/10.5194/acp-20-10775-2020, 2020
Short summary
Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm
Julian Hofer, Albert Ansmann, Dietrich Althausen, Ronny Engelmann, Holger Baars, Khanneh Wadinga Fomba, Ulla Wandinger, Sabur F. Abdullaev, and Abduvosit N. Makhmudov
Atmos. Chem. Phys., 20, 9265–9280, https://doi.org/10.5194/acp-20-9265-2020,https://doi.org/10.5194/acp-20-9265-2020, 2020
Short summary
Optical and geometrical aerosol particle properties over the United Arab Emirates
Maria Filioglou, Elina Giannakaki, John Backman, Jutta Kesti, Anne Hirsikko, Ronny Engelmann, Ewan O'Connor, Jari T. T. Leskinen, Xiaoxia Shang, Hannele Korhonen, Heikki Lihavainen, Sami Romakkaniemi, and Mika Komppula
Atmos. Chem. Phys., 20, 8909–8922, https://doi.org/10.5194/acp-20-8909-2020,https://doi.org/10.5194/acp-20-8909-2020, 2020
Short summary
Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations
Nick A. J. Schutgens
Atmos. Chem. Phys., 20, 7473–7488, https://doi.org/10.5194/acp-20-7473-2020,https://doi.org/10.5194/acp-20-7473-2020, 2020
Short summary

Cited articles

Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, https://doi.org/10.5194/acp-8-7281-2008, 2008. 
Batchvarova, E., Cai, X., Gryning, S. E., and Steyn, D.: Modelling internal boundary layer development in a region with complex coastline, Bound.-Lay. Meteorol., 90, 1–20, https://doi.org/10.1023/a:1001751219627, 1999. 
Baxter, R.: Determination of mixing heights from data collected during the 1985 SCCCAMP field program, J. Appl. Meteor., 30, 598–606, 1991. 
Brooks, I. M.: Finding boundary layer top: application of a wavelet covariance transform to lidar backscatter profiles, J. Atmos. Ocean. Technol., 20, 1092–1105, https://doi.org/10.1175/1520-0426(2003)020<1092:FBLTAO>2.0.CO;2, 2003. 
Beyrich, F. and Leps, J. P.: An operational mixing height data set from routine radiosoundings at Lindenberg: Methodology, Meteorol. Z., 21, 337–348, https://doi.org/10.1127/0941-2948/2012/0333, 2012. 
Publications Copernicus
Download
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...
Citation
Altmetrics
Final-revised paper
Preprint