Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3943-2019
https://doi.org/10.5194/amt-12-3943-2019
Research article
 | 
18 Jul 2019
Research article |  | 18 Jul 2019

A practical information-centered technique to remove a priori information from lidar optimal-estimation-method retrievals

Ali Jalali, Shannon Hicks-Jalali, Robert J. Sica, Alexander Haefele, and Thomas von Clarmann

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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 Robert Sica on behalf of the Authors (22 Mar 2019)  Manuscript 
ED: Referee Nomination & Report Request started (26 Mar 2019) by Andrew Sayer
RR by Anonymous Referee #1 (16 Apr 2019)
RR by Anonymous Referee #3 (28 Apr 2019)
ED: Reconsider after major revisions (09 May 2019) by Andrew Sayer
AR by Robert Sica on behalf of the Authors (04 Jun 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (10 Jun 2019) by Andrew Sayer
ED: Publish as is (20 Jun 2019) by Andrew Sayer
ED: Publish as is (25 Jun 2019) by Andrew Sayer
AR by Robert Sica on behalf of the Authors (26 Jun 2019)  Manuscript 
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Short summary
This paper builds upon the work in von Clarmann and Grabowski (2007) concerning the a priori profile influence in the optimal estimation method applied to active remote sensing measurements, with examples given for lidar retrievals of temperature and water vapor mixing ratio. The optimal estimation method is a new technique for many active remote sensing researchers. This study gives insight into understanding the effect on retrievals of the a priori information.