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.
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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- Midday Boundary-Layer Collapse in the Altiplano Desert: The Combined Effect of Advection and Subsidence F. Aguirre-Correa et al. 10.1007/s10546-023-00790-5
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- Deep-Pathfinder: a boundary layer height detection algorithm based on image segmentation J. Wijnands et al. 10.5194/amt-17-3029-2024
- Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using Machine Learning Z. Liu et al. 10.3390/rs14020418
- CALOTRITON: a convective boundary layer height estimation algorithm from ultra-high-frequency (UHF) wind profiler data A. Philibert et al. 10.5194/amt-17-1679-2024
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Latest update: 20 Nov 2024
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...