Correlated observation error models for assimilating all-sky infrared radiances

Geer, Alan J.

doi:https://doi.org/10.5194/amt-12-3629-2019

Articles | Volume 12, issue 7

https://doi.org/10.5194/amt-12-3629-2019

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

https://doi.org/10.5194/amt-12-3629-2019

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

Articles | Volume 12, issue 7

Research article

|

04 Jul 2019

Research article |

| 04 Jul 2019

Correlated observation error models for assimilating all-sky infrared radiances

Alan J. Geer

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Final revised paper (published on 04 Jul 2019)
Preprint (discussion started on 16 Nov 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer comments', Anonymous Referee #1, 15 Dec 2018
- AC1: 'Response to referee 1', Alan Geer, 03 May 2019
SC1: 'Review of "Correlated observation error models for assimilating all-sky infrared radiances"', Fuqing Zhang, 14 Mar 2019
- AC3: 'Response to Fuqing Zhang', Alan Geer, 03 May 2019
SC2: 'Referee Comment Request', Wei Gu, 12 Apr 2019
- AC4: 'Response to Wei Gu', Alan Geer, 03 May 2019
RC2: 'infrared radiance assimilation in all sky conditions', Anonymous Referee #2, 19 Apr 2019
- AC2: 'Response to referee 2', Alan Geer, 03 May 2019

Peer-review completion

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

AR by Alan Geer on behalf of the Authors (31 May 2019) Author's response Manuscript

ED: Publish subject to technical corrections (12 Jun 2019) by Isaac Moradi

AR by Alan Geer on behalf of the Authors (17 Jun 2019) Author's response Manuscript

Short summary

Using more satellite data in cloudy areas helps improve weather forecasts, but all-sky assimilation is still tricky, particularly for infrared data. To allow the use of hyperspectral infrared sounder radiances in all-sky conditions, an error model is developed that, in the presence of cloud, broadens the correlations between channels and increases error variances. After fixing problems of gravity wave and bias amplification, the results of all-sky assimilation trials were promising.