Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer

Foth, Andreas; Pospichal, Bernhard

doi:https://doi.org/10.5194/amt-10-3325-2017

Articles | Volume 10, issue 9

https://doi.org/10.5194/amt-10-3325-2017

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

Special issue:

HD(CP)² Observational Prototype Experiment (AMT/ACP...

https://doi.org/10.5194/amt-10-3325-2017

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

Articles | Volume 10, issue 9

Research article

|

12 Sep 2017

Research article |

| 12 Sep 2017

Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer

Andreas Foth and Bernhard Pospichal

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Final revised paper (published on 12 Sep 2017)
Preprint (discussion started on 08 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of: Optimal Estimation of Water Vapour Profiles using a Combination of Raman Lidar and Microwave Radiometer by Foth et al.', Anonymous Referee #1, 24 May 2017
- AC1: 'Reply to Anonymous Referee #1', Andreas Foth, 10 Jul 2017
RC2: 'Review', Anonymous Referee #2, 01 Jun 2017
- AC2: 'Reply to Anonymous Referee #2', Andreas Foth, 10 Jul 2017

Peer-review completion

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

AR by Andreas Foth on behalf of the Authors (10 Jul 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (11 Jul 2017) by Brian Kahn

RR by Anonymous Referee #1 (21 Jul 2017)

ED: Publish as is (24 Jul 2017) by Brian Kahn

Short summary

We present a two-step retrieval that provides a continuous time series of water vapour profiles from ground-based remote sensing in a straightforward way to offer a broad application. The retrieval combines the Raman lidar mass mixing ratio and the microwave radiometer brightness temperature. Its application results in reliable water vapour profiles and error estimates also from within and above a cloud during all non-precipitating conditions.