Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6965-2020
© 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/amt-13-6965-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Dec 2020
Research article |
| 21 Dec 2020
| 21 Dec 2020
Integrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometer
Jae-Sik Min
Research Center for Atmospheric Environment, Hankuk University of
Foreign Studies, Yongin, Korea
School of Earth and Environmental Sciences, Seoul National University, Seoul, Korea
Moon-Soo Park
CORRESPONDING AUTHOR
Research Center for Atmospheric Environment, Hankuk University of
Foreign Studies, Yongin, Korea
Department of Climate and Environment, Sejong University, Seoul, Korea
Jung-Hoon Chae
Research Center for Atmospheric Environment, Hankuk University of
Foreign Studies, Yongin, Korea
Climate Change and Environmental Research Center, Sejong University, Seoul, Korea
Minsoo Kang
Research Center for Atmospheric Environment, Hankuk University of
Foreign Studies, Yongin, Korea
Climate Change and Environmental Research Center, Sejong University, Seoul, Korea
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Cited
18 citations as recorded by crossref.
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al.
- PM2.5 nitrate formation during winter haze episodes: insights from Seoul, South Korea H. Lee et al.
- Accelerated O3 formation triggered by summer heatwaves in megacity Seoul J. Gil et al.
- Back-trajectory analyses for evaluating the transboundary transport effect to the aerosol pollution in South Korea J. Koo et al.
- Analysis of differences between thermodynamic and material boundary layer structure: Comparison of detection by ceilometer and microwave radiometer Y. Jiang et al.
- Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ K. Travis et al.
- 融合K-means和熵权法的高鲁棒性大气边界层高度估计方法 刘. Liu Zhenxing et al.
- An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al.
- Midday Boundary-Layer Collapse in the Altiplano Desert: The Combined Effect of Advection and Subsidence F. Aguirre-Correa et al.
- Characteristics of Seasonal Variations of Planetary Boundary Layer Heights in Busan : A Comparative Study of Busan vs. Seoul Metropolitan Area (VI) M. Kim et al.
- 基于深度森林的遥感融合反演大气边界层高度方法 赵. Zhao Zhongxing et al.
- Edge AI cosmos blockchain distributed network for precise ablh detection S. Shivadekar et al.
- Atmospheric boundary layer height over a rain-shadow region: An intercomparison of multi-observations and model simulations P. Prasad et al.
- Numerical simulation and physical understanding of a locally initiated sea fog event over the eastern Yellow Sea with a transition of air–sea temperature difference J. Kim et al.
- Determination of mixing layer height from co-located lidar, ceilometer and wind Doppler lidar measurements: Intercomparison and implications for PM2.5 simulations S. Park et al.
- Deep-Pathfinder: a boundary layer height detection algorithm based on image segmentation J. Wijnands et al.
- Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using Machine Learning Z. Liu et al.
- CALOTRITON: a convective boundary layer height estimation algorithm from ultra-high-frequency (UHF) wind profiler data A. Philibert et al.
18 citations as recorded by crossref.
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al.
- PM2.5 nitrate formation during winter haze episodes: insights from Seoul, South Korea H. Lee et al.
- Accelerated O3 formation triggered by summer heatwaves in megacity Seoul J. Gil et al.
- Back-trajectory analyses for evaluating the transboundary transport effect to the aerosol pollution in South Korea J. Koo et al.
- Analysis of differences between thermodynamic and material boundary layer structure: Comparison of detection by ceilometer and microwave radiometer Y. Jiang et al.
- Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ K. Travis et al.
- 融合K-means和熵权法的高鲁棒性大气边界层高度估计方法 刘. Liu Zhenxing et al.
- An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al.
- Midday Boundary-Layer Collapse in the Altiplano Desert: The Combined Effect of Advection and Subsidence F. Aguirre-Correa et al.
- Characteristics of Seasonal Variations of Planetary Boundary Layer Heights in Busan : A Comparative Study of Busan vs. Seoul Metropolitan Area (VI) M. Kim et al.
- 基于深度森林的遥感融合反演大气边界层高度方法 赵. Zhao Zhongxing et al.
- Edge AI cosmos blockchain distributed network for precise ablh detection S. Shivadekar et al.
- Atmospheric boundary layer height over a rain-shadow region: An intercomparison of multi-observations and model simulations P. Prasad et al.
- Numerical simulation and physical understanding of a locally initiated sea fog event over the eastern Yellow Sea with a transition of air–sea temperature difference J. Kim et al.
- Determination of mixing layer height from co-located lidar, ceilometer and wind Doppler lidar measurements: Intercomparison and implications for PM2.5 simulations S. Park et al.
- Deep-Pathfinder: a boundary layer height detection algorithm based on image segmentation J. Wijnands et al.
- Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using Machine Learning Z. Liu et al.
- CALOTRITON: a convective boundary layer height estimation algorithm from ultra-high-frequency (UHF) wind profiler data A. Philibert et al.
Saved (final revised paper)
Latest update: 24 May 2026
Short summary
An algorithm for an integrated system for ABLH estimation (ISABLE) was developed and applied to the vertical profile data obtained by a ceilometer and a microwave radiometer in Seoul city, Korea. The ISABLE algorithm finds an optimal ABLH through the post-processing including k-means clustering and density-based spatial clustering of applications with noise (DBSCAN) techniques. The ISABLE ABLH exhibited better performance than those obtained by most conventional methods.
An algorithm for an integrated system for ABLH estimation (ISABLE) was developed and applied to...
