Articles | Volume 16, issue 2
https://doi.org/10.5194/acp-16-1065-2016
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, D. G. Partridge, and P. Stier

Viewed

Total article views: 4,049 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,436 1,511 102 4,049 114 109
  • HTML: 2,436
  • PDF: 1,511
  • XML: 102
  • Total: 4,049
  • BibTeX: 114
  • EndNote: 109
Views and downloads (calculated since 25 Sep 2015)
Cumulative views and downloads (calculated since 25 Sep 2015)

Cited

Saved (preprint)

Latest update: 13 Dec 2024
Download
Short summary
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.
Altmetrics
Final-revised paper
Preprint