Articles | Volume 12, issue 1
Research article
07 Jan 2019
Research article |  | 07 Jan 2019

Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation

Fabien Carminati, Stefano Migliorini, Bruce Ingleby, William Bell, Heather Lawrence, Stuart Newman, James Hocking, and Andrew Smith


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 Fabien Carminati on behalf of the Authors (05 Oct 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Oct 2018) by Ad Stoffelen
RR by Anonymous Referee #1 (25 Oct 2018)
RR by Anonymous Referee #3 (29 Nov 2018)
ED: Publish subject to minor revisions (review by editor) (07 Dec 2018) by Ad Stoffelen
AR by Fabien Carminati on behalf of the Authors (13 Dec 2018)  Author's response    Manuscript
ED: Publish as is (13 Dec 2018) by Ad Stoffelen
Short summary
The GRUAN processor is a software developed to collocate radiosonde profiles and numerical weather prediction model fields, simulate top-of-atmosphere brightness temperature at frequencies used by space-borne instruments, and propagate the radiosonde uncertainties in that simulation. This work responds to an identified lack of metrologically traceable characterisation of uncertainties in model fields that are increasingly used for the validation and calibration of space-borne instruments.