Articles | Volume 19, issue 23
Atmos. Chem. Phys., 19, 15023–15048, 2019
https://doi.org/10.5194/acp-19-15023-2019
Atmos. Chem. Phys., 19, 15023–15048, 2019
https://doi.org/10.5194/acp-19-15023-2019

Research article 11 Dec 2019

Research article | 11 Dec 2019

How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth

Andrew M. Sayer and Kirk D. Knobelspiesse

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Andrew Sayer on behalf of the Authors (01 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 Oct 2019) by Anja Schmidt
RR by Anonymous Referee #3 (10 Oct 2019)
ED: Publish as is (22 Oct 2019) by Anja Schmidt
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Short summary
Data about the Earth are routinely obtained from satellite observations, model simulations, and ground-based or other measurements. These are at different space and timescales, and it is common to average them to reduce gaps and increase ease of use. The question of how the data should be averaged depends on the underlying distribution of the quantity. This study presents a method for determining how to appropriately aggregate data and applies it to data sets about atmospheric aerosol levels.
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