Articles | Volume 16, issue 2
Atmos. Chem. Phys., 16, 1065–1079, 2016
https://doi.org/10.5194/acp-16-1065-2016
Atmos. Chem. Phys., 16, 1065–1079, 2016
https://doi.org/10.5194/acp-16-1065-2016

Research article 29 Jan 2016

Research article | 29 Jan 2016

The importance of temporal collocation for the evaluation of aerosol models with observations

N. A. J. Schutgens et al.

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Cited articles

Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989.
Anderson, T. E., Charlson, R. J., Winker, D. M., Ogren, J. A., and Holmen, K.: Mesoscale Variations of Tropospheric Aerosols, J. Atmos. Sci., 60, 119–136, 2003.
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Bellouin, N., Mann, G. W., Woodhouse, M. T., Johnson, C., Carslaw, K. S., and Dalvi, M.: Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model, Atmos. Chem. Phys., 13, 3027–3044, https://doi.org/10.5194/acp-13-3027-2013, 2013.
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When comparing models against observations, researchers often use long-term averages without due regard for the temporal sampling of the underlying data sets. We study the errors introduced by this practice and show they are often larger than observational errors and comparable to model errors. We further analyse what causes these errors and suggest best practices for eliminating them.
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