Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6335-2016
https://doi.org/10.5194/acp-16-6335-2016
Research article
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24 May 2016
Research article | Highlight paper |  | 24 May 2016

Will a perfect model agree with perfect observations? The impact of spatial sampling

Nick A. J. Schutgens, Edward Gryspeerdt, Natalie Weigum, Svetlana Tsyro, Daisuke Goto, Michael Schulz, and Philip Stier

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Cited articles

Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S., and Shankar, U. M. A.: MODAL AEROSOL DYNAMICS MODEL FOR EUROPE: DEVELOPMENT AND FIRST APPLICATIONS, Atmos. Environ., 32, 2981–2999, 1998.
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.
Angstrom, B. A.: Atmospheric turbidity , global illumination and planetary albedo of the earth, Tellus, XIV, 435–450, 1962.
Ballester, J., Burns, J. C., Cayan, D., Nakamura, Y., Uehara, R., and Rodó, X.: Kawasaki disease and ENSO-driven wind circulation, Geophys. Res. Lett., 40, 2284–2289, https://doi.org/10.1002/grl.50388, 2013.
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Short summary
We show that evaluating global aerosol model data with observations of very different spatial scales (200 vs. 10 km) can lead to large discrepancies, solely due to different spatial sampling. Strategies for reducing these sampling errors are developed and tested using a set of high-resolution model simulations.
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