Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne

Martucci, Giovanni; Navas-Guzmán, Francisco; Renaud, Ludovic; Romanens, Gonzague; Gamage, S. Mahagammulla; Hervo, Maxime; Jeannet, Pierre; Haefele, Alexander

doi:https://doi.org/10.5194/amt-14-1333-2021

Articles | Volume 14, issue 2

https://doi.org/10.5194/amt-14-1333-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-1333-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Research article

|

22 Feb 2021

Research article |

| 22 Feb 2021

Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne

Giovanni Martucci, Francisco Navas-Guzmán, Ludovic Renaud, Gonzague Romanens, S. Mahagammulla Gamage, Maxime Hervo, Pierre Jeannet, and Alexander Haefele

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Final revised paper (published on 22 Feb 2021)
Preprint (discussion started on 10 Sep 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Validation of temperature data from the RAman Lidar for Meteorological Observations (RALMO) at Payerne. An application to liquid cloud supersaturation.', Anonymous Referee #3, 14 Oct 2020
- AC1: 'Response to Referee#3', Giovanni Martucci, 01 Dec 2020
RC2: 'Review of amt-2020-289', Anonymous Referee #1, 06 Nov 2020
- AC2: 'Response to Referee#1', Giovanni Martucci, 01 Dec 2020

Peer-review completion

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

AR by Giovanni Martucci on behalf of the Authors (08 Dec 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Dec 2020) by Vassilis Amiridis

RR by Anonymous Referee #1 (11 Dec 2020)

RR by Anonymous Referee #4 (11 Dec 2020)

ED: Publish as is (11 Dec 2020) by Vassilis Amiridis

Short summary

This article presents a validation of 1.5 years of pure rotational temperature data measured by the Raman lidar RALMO installed at the MeteoSwiss station of Payerne. The statistical results are in terms of bias and standard deviation with respect to two well-established radiosounding systems. The statistics are divided into daytime (bias = 0.28 K, SD = 0.62±0.03 K) and nighttime (bias = 0.29 K, SD = 0.66±0.06 K). The lidar temperature profiles are applied to cloud supersaturation studies.