Pathfinder: applying graph theory to consistent tracking of daytime mixed layer height with backscatter lidar

de Bruine, Marco; Apituley, Arnoud; Donovan, David Patrick; Klein Baltink, Hendrik; de Haij, Marijn Jorrit

doi:https://doi.org/10.5194/amt-10-1893-2017

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.

https://doi.org/10.5194/amt-10-1893-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 5

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, Arnoud Apituley, David Patrick Donovan, Hendrik Klein Baltink, and Marijn Jorrit de Haij

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Final revised paper (published on 30 May 2017)
Preprint (discussion started on 11 Nov 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Reviewer's comment', Wayne Angevine, 18 Nov 2016
- AC1: 'Response to reviewer#1', Arnoud Apituley, 03 Feb 2017
RC2: 'Interactive comment on “Pathfinder: Applying graph theory for consistent tracking of daytime mixed layer height with backscatter lidar” by Marco de Bruine et al.', Anonymous Referee #2, 09 Dec 2016
- AC2: 'Response to reviewer#2', Arnoud Apituley, 03 Feb 2017

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.