An update on the RTTOV fast radiative transfer model (currently at version 12)

Saunders, Roger; Hocking, James; Turner, Emma; Rayer, Peter; Rundle, David; Brunel, Pascal; Vidot, Jerome; Roquet, Pascale; Matricardi, Marco; Geer, Alan; Bormann, Niels; Lupu, Cristina

doi:https://doi.org/10.5194/gmd-11-2717-2018

Articles | Volume 11, issue 7

https://doi.org/10.5194/gmd-11-2717-2018

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

https://doi.org/10.5194/gmd-11-2717-2018

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

Articles | Volume 11, issue 7

Model description paper

|

10 Jul 2018

Model description paper |

| 10 Jul 2018

An update on the RTTOV fast radiative transfer model (currently at version 12)

Roger Saunders, James Hocking, Emma Turner, Peter Rayer, David Rundle, Pascal Brunel, Jerome Vidot, Pascale Roquet, Marco Matricardi, Alan Geer, Niels Bormann, and Cristina Lupu

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Final revised paper (published on 10 Jul 2018)
Preprint (discussion started on 22 Mar 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'RTTOV paper', Sid Boukabara, 13 Apr 2018
- AC1: 'Response to Comments from reviewer 1', Roger Saunders, 22 May 2018
RC2: 'Update on RTTOV model', Benjamin Ruston, 21 May 2018
- AC2: 'Response to reviewer 2', Roger Saunders, 22 May 2018

Peer-review completion

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

AR by Anna Wenzel on behalf of the Authors (08 Jun 2018) Author's response

ED: Publish as is (08 Jun 2018) by Tim Butler

AR by Roger Saunders on behalf of the Authors (08 Jun 2018) Author's response Manuscript

Short summary

This paper describes a fast atmospheric radiative transfer model, RTTOV, which is widely used in the satellite retrieval and weather forecast model assimilation communities. It computes top-of-atmosphere radiances for visible, infrared and microwave downward-viewing satellite radiometers. It enables the satellite data, which are a key part of the observing system, to be optimally used with forecast models. The developments made to RTTOV over the past 20 years are summarised.