Articles | Volume 13, issue 12
Research article
01 Dec 2020
Research article |  | 01 Dec 2020

Interpolation uncertainty of atmospheric temperature profiles

Alessandro Fassò, Michael Sommer, and Christoph von Rohden


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 Alessandro Fasso on behalf of the Authors (24 Sep 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Sep 2020) by Brian Kahn
RR by Anonymous Referee #1 (15 Oct 2020)
RR by Anonymous Referee #2 (18 Oct 2020)
ED: Publish subject to technical corrections (19 Oct 2020) by Brian Kahn
AR by Alessandro Fasso on behalf of the Authors (25 Oct 2020)  Author's response   Manuscript 
Short summary
Modern radiosonde balloons fly from ground level up to the lower stratosphere and take temperature measurements. What is the uncertainty of interpolated values in the resulting atmospheric temperature profiles? To answer this question, we introduce a general statistical–mathematical model for the computation of interpolation uncertainty. Analysing more than 51 million measurements, we provide some understanding of the consequences of filling missing data with interpolated ones.