Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3001-2019
https://doi.org/10.5194/amt-12-3001-2019
Research article
 | 
03 Jun 2019
Research article |  | 03 Jun 2019

Homogeneity criteria from AVHRR information within IASI pixels in a numerical weather prediction context

Imane Farouk, Nadia Fourrié, and Vincent Guidard

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nadia Fourrié on behalf of the Authors (06 Mar 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Mar 2019) by Brian Kahn
RR by Anonymous Referee #1 (02 Apr 2019)
ED: Publish subject to minor revisions (review by editor) (04 Apr 2019) by Brian Kahn
AR by Nadia Fourrié on behalf of the Authors (23 Apr 2019)  Author's response   Manuscript 
ED: Publish as is (25 Apr 2019) by Brian Kahn
AR by Nadia Fourrié on behalf of the Authors (26 Apr 2019)  Manuscript 
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Short summary
A selection for homogeneous scenes for the assimilation of IASI radiances is proposed by using information on the collocated imager pixels inside each infrared observation. A revised method for the selection, which represents a compromise between two methods to select homogeneous scenes using homogeneity criteria already proposed in the literature, has a positive impact on the observation minus the simulation statistics. It has been tested in a numerical weather prediction model for clear sky.