Planetary boundary layer height by means of lidar and numerical simulations over New Delhi, India

Nakoudi, Konstantina; Giannakaki, Elina; Dandou, Aggeliki; Tombrou, Maria; Komppula, Mika

doi:https://doi.org/10.5194/amt-12-2595-2019

Articles | Volume 12, issue 5

https://doi.org/10.5194/amt-12-2595-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-2595-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 5

Research article

|

06 May 2019

Research article |

| 06 May 2019

Planetary boundary layer height by means of lidar and numerical simulations over New Delhi, India

Konstantina Nakoudi, Elina Giannakaki, Aggeliki Dandou, Maria Tombrou, and Mika Komppula

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Final revised paper (published on 06 May 2019)
Preprint (discussion started on 20 Nov 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Anonymous Review', Anonymous Referee #3, 16 Jan 2019
- AC1: 'Reply to the Comments of Anonymous Referee #3', Konstantina Nakoudi, 28 Feb 2019
RC2: 'General comments to amt-2018-342', Anonymous Referee #2, 16 Jan 2019
- AC2: 'Reply to the Comments of Anonymous Referee #2', Konstantina Nakoudi, 28 Feb 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Konstantina Nakoudi on behalf of the Authors (28 Mar 2019) Author's response Manuscript

ED: Publish as is (30 Mar 2019) by Vassilis Amiridis

AR by Konstantina Nakoudi on behalf of the Authors (31 Mar 2019) Author's response

Short summary

We characterized the height of the boundary layer (BLH) over New Delhi for almost a year using ground and satellite lidar measurements as well as model simulations. In the presence of multiple aerosol layers, the employed algorithm was very efficient. Due to prevailing meteorological conditions, the seasonal BLH cycle was slightly weaker than the one expected from the climatology. The aim was to assess the feasibility of the employed algorithm and compare the results to independent sources.