Articles | Volume 19, issue 23
Atmos. Chem. Phys., 19, 15023–15048, 2019
Atmos. Chem. Phys., 19, 15023–15048, 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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Cited articles

Ahlquist, N. C. and Charlson, R. J.: Measurement of the wavelength dependence of atmospheric extinction due to scatter, Atmos. Environ., 3, 551–564,, 1967. a
Alexandrov, M. D., Marshak, A., Cairns, B., Lacis, A. A., and Carlson, B. E.: Scaling Properties of Aerosol Optical Thickness Retrieved from Ground-Based Measurements, J. Atmos. Sci., 61, 1024–1039,<1024:SPOAOT>2.0.CO;2, 2004. a
Alexandrov, M. D., Geogdzhayev, I. V., Tsigaridis, K., Marshak, A., and Levy, R.: New Statistical Model for Variability of Aerosol Optical Thickness: Theory and Application to MODIS Data over Ocean, J. Atmos. Sci., 73, 821–837,, 2016. a
Anderson, T. L., Charlson, R. J., Winker, D. M., Ogren, J. A., and Holmén, K.: Mesoscale Variations of Tropospheric Aerosols, J. Atmos. Sci., 60, 119–136,<0119:MVOTA>2.0.CO;2, 2003. a, b
Ångström, A.: On the atmospheric transmission of Sun radiation and on dust in the air, Geogr. Ann., 12, 130–159,, 1929. a
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.
Final-revised paper