Articles | Volume 10, issue 5
https://doi.org/10.5194/amt-10-1893-2017
© 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/amt-10-1893-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 May 2017
Research article |
| 30 May 2017
Pathfinder: applying graph theory to consistent tracking of daytime mixed layer height with backscatter lidar
Marco de Bruine
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Institute for Marine and Atmospheric Research (IMAU), Utrecht University, Utrecht, the Netherlands
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
David Patrick Donovan
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Hendrik Klein Baltink
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Marijn Jorrit de Haij
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
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- Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors Y. Li et al. 10.1016/j.rse.2023.113847
- Observation of Turbulent Mixing Characteristics in the Typical Daytime Cloud-Topped Boundary Layer over Hong Kong in 2019 T. Huang et al. 10.3390/rs12091533
- Improved two-wavelength Lidar algorithm for retrieving atmospheric boundary layer height B. Liu et al. 10.1016/j.jqsrt.2018.11.003
- 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
- An Automated Common Algorithm for Planetary Boundary Layer Retrievals Using Aerosol Lidars in Support of the U.S. EPA Photochemical Assessment Monitoring Stations Program V. Caicedo et al. 10.1175/JTECH-D-20-0050.1
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- Mixing layer height as an indicator for urban air quality? A. Geiß et al. 10.5194/amt-10-2969-2017
- Tailored Algorithms for the Detection of the Atmospheric Boundary Layer Height from Common Automatic Lidars and Ceilometers (ALC) S. Kotthaus et al. 10.3390/rs12193259
- Characterizing warm atmospheric boundary layer over land by combining Raman and Doppler lidar measurements Y. Chu et al. 10.1364/OE.451728
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- A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar Z. Zhu et al. 10.3390/atmos14050847
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Latest update: 14 Dec 2024
Short summary
To know how air pollution moves away from their sources, we need to know the height of the pollution. We use a laser instrument that detects particles of air pollution to precisely measure the height of the particles. Now we want to detect the layer where the pollution is. As the height of this layer changes with time it is difficult to automatically follow the correct layer. Pathfinder, which works like route planners that find the shortest way, improves this task.
To know how air pollution moves away from their sources, we need to know the height of the...
