All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud

Geer, Alan J.; Migliorini, Stefano; Matricardi, Marco

doi:https://doi.org/10.5194/amt-12-4903-2019

Articles | Volume 12, issue 9

https://doi.org/10.5194/amt-12-4903-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-4903-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 9

Research article

|

11 Sep 2019

Research article |

| 11 Sep 2019

All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud

Alan J. Geer, Stefano Migliorini, and Marco Matricardi

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Final revised paper (published on 11 Sep 2019)
Preprint (discussion started on 11 Feb 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of ‘All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud’', Anonymous Referee #3, 17 May 2019
- AC1: 'Response to all reviewers', Alan Geer, 26 Jul 2019
RC2: 'Review of the manuscript on “All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud” by Alan J. Geer, Stefano Migliorini, and Marco Matricardi.', Anonymous Referee #4, 28 Jun 2019
- AC1: 'Response to all reviewers', Alan Geer, 26 Jul 2019
RC3: 'Review on All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud by Geer et al.', Anonymous Referee #5, 10 Jul 2019
- AC1: 'Response to all reviewers', Alan Geer, 26 Jul 2019
AC1: 'Response to all reviewers', Alan Geer, 26 Jul 2019

Peer-review completion

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

AR by Alan Geer on behalf of the Authors (13 Aug 2019) Author's response Manuscript

ED: Publish subject to technical corrections (14 Aug 2019) by Andrew Sayer

Short summary

Satellite radiance observations have only recently become usable in conditions of cloud and precipitation for the initialization of weather forecasts. The move to all-sky assimilation started with data from the microwave part of the spectrum, with substantial benefit to the quality of operational forecasts. The current work shows a framework in which cloudy infrared data, with its stronger and more non-linear sensitivity, can also benefit operational-quality forecasts.