Articles | Volume 17, issue 10
https://doi.org/10.5194/acp-17-6215-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-6215-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note: Boundary layer height determination from lidar for improving air pollution episode modeling: development of new algorithm and evaluation
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Zifa Wang
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Wei Zhang
Aviation Meteorological Center of China, Beijing 100021, China
Alex Gbaguidi
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Nobuo Sugimoto
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba,
305-8506, Japan
Xiquan Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Ichiro Matsui
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba,
305-8506, Japan
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
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38 citations as recorded by crossref.
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38 citations as recorded by crossref.
- Boundary Layer Heights as Derived From Ground-Based Radar Wind Profiler in Beijing B. Liu et al. 10.1109/TGRS.2019.2918301
- Intercomparison of Mixing Layer Heights from the National Weather Service Ceilometer Test Sites and Collocated Radiosondes M. Hicks et al. 10.1175/JTECH-D-18-0058.1
- A comprehensive evaluation of planetary boundary layer height retrieval techniques using lidar data under different pollution scenarios F. Wang et al. 10.1016/j.atmosres.2021.105483
- Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques G. Vivone et al. 10.5194/acp-21-4249-2021
- Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al. 10.1016/j.scitotenv.2020.137699
- A new algorithm for planetary boundary layer height calculation based on multilayer recognition Y. Pan et al. 10.1016/j.atmosenv.2021.118919
- Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform L. Mei et al. 10.1364/OE.454094
- Mixing Layer Height Retrievals From MiniMPL Measurements in the Chiang Mai Valley: Implications for Particulate Matter Pollution R. Solanki et al. 10.3389/feart.2019.00308
- 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
- Comparison of four different types of planetary boundary layer heights during a haze episode in Beijing Y. Shi et al. 10.1016/j.scitotenv.2019.134928
- Profiling Aerosol Liquid Water Content Using a Polarization Lidar W. Tan et al. 10.1021/acs.est.9b07502
- Detection of the planetary boundary layer height by employing the Scheimpflug lidar technique and the covariance wavelet transform method L. Mei et al. 10.1364/AO.58.008013
- Development of a coupled aerosol lidar data quality assurance and control scheme with Monte Carlo analysis and bilateral filtering H. Wang et al. 10.1016/j.scitotenv.2020.138844
- 基于多普勒激光雷达的青岛地区大气物质边界层高度反演与分析 王. Wang Junbo et al. 10.3788/AOS230794
- 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
- Relationship analysis of PM<sub>2.5</sub> and boundary layer height using an aerosol and turbulence detection lidar C. Wang et al. 10.5194/amt-12-3303-2019
- Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China X. Ji et al. 10.1016/j.jes.2018.11.003
- Surface Aerosol Properties Studied Using a Near-Horizontal Lidar P. Ong et al. 10.3390/atmos11010036
- Identify the contribution of elevated industrial plume to ground air quality by optical and machine learning methods L. Feng et al. 10.1088/2515-7620/ab7634
- Key factors explaining severe air pollution episodes in Hanoi during 2019 winter season B. Phung Ngoc et al. 10.1016/j.apr.2021.101068
- Observations of Atmospheric Aerosol and Cloud Using a Polarized Micropulse Lidar in Xi’an, China C. Chen et al. 10.3390/atmos12060796
- Photochemical impacts of haze pollution in an urban environment M. Hollaway et al. 10.5194/acp-19-9699-2019
- A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar Z. Zhu et al. 10.3390/atmos14050847
- The impacts of the atmospheric boundary layer on regional haze in North China Q. Li et al. 10.1038/s41612-021-00165-y
- An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al. 10.5194/amt-16-4289-2023
- Effects of boundary layer variations on physicochemical characteristics of aerosols in mid-low-altitude regions T. Chiang et al. 10.1016/j.scitotenv.2023.166849
- Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period T. Ansari et al. 10.5194/acp-19-8651-2019
- Climatology of Planetary Boundary Layer Height over Jiangsu, China, Based on ERA5 Reanalysis Data X. Li et al. 10.3390/atmos14091330
- Estimate of boundary-layer depth in Nanjing city using aerosol lidar data during 2016–2017 winter S. Fan et al. 10.1016/j.atmosenv.2019.02.022
- A Review of Techniques for Diagnosing the Atmospheric Boundary Layer Height (ABLH) Using Aerosol Lidar Data R. Dang et al. 10.3390/rs11131590
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Research Progress on Estimation of the Atmospheric Boundary Layer Height H. Zhang et al. 10.1007/s13351-020-9910-3
- A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar B. Han et al. 10.3390/rs14215436
- Ozone profiles without blind area retrieved from MAX-DOAS measurements and comprehensive validation with multi-platform observations X. Ji et al. 10.1016/j.rse.2022.113339
- Vertical observations of the atmospheric boundary layer structure over Beijing urban area during air pollution episodes L. Wang et al. 10.5194/acp-19-6949-2019
- Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns over Central East China J. Liu et al. 10.3390/rs11182120
- A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions T. Su et al. 10.1016/j.rse.2019.111519
- A Climatology of Merged Daytime Planetary Boundary Layer Height Over China From Radiosonde Measurements J. Zhang et al. 10.1029/2021JD036367
Latest update: 06 Nov 2024
Short summary
Predicting air pollution events over megacities requires, notably, continuous and accurate determination of the boundary layer height (BLH). Based on gravity wave theory, a new approach (CRGM) is developed to overcome existing algorithms' weakness in order to accurately reproduce the fluctuations of the BLH under various atmospheric pollution conditions from lidar observation. Comprehensive evaluation highlights strong effectiveness of this new method.
Predicting air pollution events over megacities requires, notably, continuous and accurate...
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