Articles | Volume 13, issue 2
Research article
03 Feb 2020
Research article |  | 03 Feb 2020

A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing

Andrew M. Sayer, Yves Govaerts, Pekka Kolmonen, Antti Lipponen, Marta Luffarelli, Tero Mielonen, Falguni Patadia, Thomas Popp, Adam C. Povey, Kerstin Stebel, and Marcin L. Witek


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 Andrew Sayer on behalf of the Authors (19 Dec 2019)  Author's response   Manuscript 
ED: Publish as is (07 Jan 2020) by Alexander Kokhanovsky
AR by Andrew Sayer on behalf of the Authors (13 Jan 2020)  Manuscript 
Short summary
Satellite measurements of the Earth are routinely processed to estimate useful quantities; one example is the amount of atmospheric aerosols (which are particles such as mineral dust, smoke, volcanic ash, or sea spray). As with all measurements and inferred quantities, there is some degree of uncertainty in this process. There are various methods to estimate these uncertainties. A related question is the following: how reliable are these estimates? This paper presents a method to assess them.