Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

DeSouza-Machado, Sergio; Strow, L. Larrabee; Tangborn, Andrew; Huang, Xianglei; Chen, Xiuhong; Liu, Xu; Wu, Wan; Yang, Qiguang

doi:https://doi.org/10.5194/amt-11-529-2018

Articles | Volume 11, issue 1

https://doi.org/10.5194/amt-11-529-2018

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

https://doi.org/10.5194/amt-11-529-2018

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

Articles | Volume 11, issue 1

Research article

|

25 Jan 2018

Research article |

| 25 Jan 2018

Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

Sergio DeSouza-Machado, L. Larrabee Strow, Andrew Tangborn, Xianglei Huang, Xiuhong Chen, Xu Liu, Wan Wu, and Qiguang Yang

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Final revised paper (published on 25 Jan 2018)
Preprint (discussion started on 28 Jul 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 amt-2017-261', Anonymous Referee #1, 26 Sep 2017
- AC1: 'Responses to Reviewer 1', S.G. DeSouza-Machado, 21 Nov 2017
RC2: 'referee Comment on amt-2017-261', Anonymous Referee #2, 29 Sep 2017
- AC2: 'Response to Reviewer 2', S.G. DeSouza-Machado, 21 Nov 2017

Peer-review completion

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

AR by S.G. DeSouza-Machado on behalf of the Authors (22 Nov 2017) Author's response Manuscript

ED: Publish as is (27 Nov 2017) by Andrew Sayer

AR by S.G. DeSouza-Machado on behalf of the Authors (08 Dec 2017)

Short summary

Thermodynamic fields retrieved from orbiting infrared sounders use a derived set of measurements as their starting point, rather than the actual observations. This leads to problems with noise and sampling. We have developed a fast accurate model with a simple vertical representation of clouds in the atmosphere for use in retrievals, which allows us to use all the actual low-noise measurements at full resolution. These should eventually help produce more accurate weather forecasts.