Intercomparison of stratospheric temperature profiles from a ground-based microwave radiometer with other techniques

Navas-Guzmán, Francisco; Kämpfer, Niklaus; Schranz, Franziska; Steinbrecht, Wolfgang; Haefele, Alexander

doi:https://doi.org/10.5194/acp-17-14085-2017

Articles | Volume 17, issue 22

https://doi.org/10.5194/acp-17-14085-2017

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

https://doi.org/10.5194/acp-17-14085-2017

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

Articles | Volume 17, issue 22

Research article

|

27 Nov 2017

Research article |

| 27 Nov 2017

Intercomparison of stratospheric temperature profiles from a ground-based microwave radiometer with other techniques

Francisco Navas-Guzmán, Niklaus Kämpfer, Franziska Schranz, Wolfgang Steinbrecht, and Alexander Haefele

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Final revised paper (published on 27 Nov 2017)
Preprint (discussion started on 02 Jun 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 ACP-2017-346', Anonymous Referee #1, 27 Jun 2017
- AC1: 'Answers to referee 1', Francisco Navas-Guzmán, 16 Oct 2017
RC2: 'Comments', Anonymous Referee #2, 31 Jul 2017
- AC2: 'Answer to referee 2', Francisco Navas-Guzmán, 16 Oct 2017

Peer-review completion

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

AR by Francisco Navas-Guzmán on behalf of the Authors (16 Oct 2017) Manuscript

ED: Publish as is (19 Oct 2017) by Martin Dameris

AR by Francisco Navas-Guzmán on behalf of the Authors (23 Oct 2017)

Short summary

The paper presents assessment of the stratospheric measurements of a relatively new temperature radiometer (TEMPERA) at 60 GHz. The temperature profiles from TEMPERA have been compared with measurements from different techniques such as radiosondes, MLS satellite and Rayleigh lidar and with the temperature outputs from the SD-WACCM model. The results showed absolute biases and standard deviations lower than 2 K for most of the altitudes and comparisons, proving the good performance of TEMPERA.