Articles | Volume 11, issue 5
Research article
03 May 2018
Research article |  | 03 May 2018

Reducing representativeness and sampling errors in radio occultation–radiosonde comparisons

Shay Gilpin, Therese Rieckh, and Richard Anthes


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 Shay Gilpin on behalf of the Authors (29 Mar 2018)  Author's response    Manuscript
ED: Publish as is (15 Apr 2018) by Marcos Portabella
Short summary
Comparing observational systems when observations are not taken at the exact same time or location can introduce sampling errors that can be come significant during error analysis. In this study, we develop two methods to reduce sampling errors: using ellipse distance constraints rather than circles and subtracting model background. We found that both the ellipses and subtracting model background from the observations reduce sampling errors caused by spatial and temporal differences.