Evaluating tropospheric humidity from GPS radio occultation, radiosonde, and AIRS from high-resolution time series

Rieckh, Therese; Anthes, Richard; Randel, William; Ho, Shu-Peng; Foelsche, Ulrich

doi:https://doi.org/10.5194/amt-11-3091-2018

Articles | Volume 11, issue 5

https://doi.org/10.5194/amt-11-3091-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-3091-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 5

Research article

|

30 May 2018

Research article |

| 30 May 2018

Evaluating tropospheric humidity from GPS radio occultation, radiosonde, and AIRS from high-resolution time series

Therese Rieckh, Richard Anthes, William Randel, Shu-Peng Ho, and Ulrich Foelsche

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Final revised paper (published on 30 May 2018)
Supplement to the final revised paper
Preprint (discussion started on 25 Jan 2018)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for AMT 2017-486', Anonymous Referee #1, 20 Feb 2018
- AC1: 'Response to Reviewer 1', Therese Rieckh, 29 Mar 2018
RC2: 'Review Report for AMT-2017-486', Anonymous Referee #2, 22 Feb 2018
- AC2: 'Response to Reviewer 2', Therese Rieckh, 30 Mar 2018

Peer-review completion

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

AR by Therese Rieckh on behalf of the Authors (30 Mar 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (03 Apr 2018) by Brian Kahn

RR by Anonymous Referee #1 (04 Apr 2018)

ED: Publish subject to minor revisions (review by editor) (23 Apr 2018) by Brian Kahn

AR by Therese Rieckh on behalf of the Authors (29 Apr 2018) Author's response Manuscript

ED: Publish as is (02 May 2018) by Brian Kahn

AR by Therese Rieckh on behalf of the Authors (08 May 2018) Manuscript

Short summary

Water vapor is the most important tropospheric greenhouse gas and is also highly variable in space and time. We study the vertical structure and variability of tropospheric humidity using various observing techniques (GPS radio occultation, radiosondes, Atmospheric Infrared Sounder) and models. Time–height cross sections reveal seasonal biases for different pressure layers. We find that radio occultation humidity has high accuracy and can contribute valuable information in data assimilation.