Characterization of the long-term radiosonde temperature biases in the upper troposphere and lower stratosphere using COSMIC and Metop-A/GRAS data from 2006 to 2014

Ho, Shu-peng; Peng, Liang; Vömel, Holger

doi:https://doi.org/10.5194/acp-17-4493-2017

Articles | Volume 17, issue 7

https://doi.org/10.5194/acp-17-4493-2017

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

https://doi.org/10.5194/acp-17-4493-2017

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

Articles | Volume 17, issue 7

Research article

| Highlight paper

|

04 Apr 2017

Research article | Highlight paper |

| 04 Apr 2017

Characterization of the long-term radiosonde temperature biases in the upper troposphere and lower stratosphere using COSMIC and Metop-A/GRAS data from 2006 to 2014

Shu-peng Ho, Liang Peng, and Holger Vömel

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Final revised paper (published on 04 Apr 2017)
Preprint (discussion started on 12 Oct 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Ho et al ACP-2016-801', Richard Anthes, 30 Oct 2016
- AC1: 'Reply to reviewer's comments', Shu-Peng Ho, 24 Jan 2017
RC2: 'Comment on acp-2016-801', Anonymous Referee #2, 15 Dec 2016
- AC2: 'Response to reviewer's comments', Shu-Peng Ho, 24 Jan 2017

Peer-review completion

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

AR by Shu-Peng Ho on behalf of the Authors (06 Feb 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Feb 2017) by Rolf Müller

RR by Richard Anthes (16 Feb 2017)

RR by Anonymous Referee #2 (23 Feb 2017)

ED: Publish subject to technical corrections (28 Feb 2017) by Rolf Müller

AR by Shu-Peng Ho on behalf of the Authors (08 Mar 2017) Author's response Manuscript

Short summary

Radiosonde observations (RAOBs) have provided the only long-term global in situ temperature measurements since 1958. In this study, we use Global Positioning System (GPS) radio occultation (RO) temperature data from 2006 to 2014 to characterize the inter-seasonal and interannual variability of temperature biases in the lower stratosphere. Results from this study also demonstrate the feasibility to use RO data to correct RAOB temperature biases for different sensor types.