- Abstract:
-
It is often implicitly assumed that over suitably long periods the mean of observations and models should be comparable, even if they have different temporal sampling. We assess the errors incurred due to ignoring temporal sampling and show that they are of similar magnitude as (but smaller than) actual model errors (20–60 %).
Using temporal sampling from remote-sensing data sets, the satellite imager MODIS (MODerate resolution Imaging Spectroradiometer) and the ground-based sun pho...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 5.2mb)
-
- Publisher copy:
- 10.5194/acp-16-1065-2016
-
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- Publisher:
- European Geosciences Union Publisher's website
- Journal:
- Atmospheric Chemistry and Physics Journal website
- Volume:
- 16
- Issue:
- 2
- Pages:
- 1065-1079
- Publication date:
- 2016
- DOI:
- ISSN:
-
1680-7316
- URN:
-
uuid:9e2fedc5-cf9e-4db0-b694-4df79be150d5
- Source identifiers:
-
598658
- Local pid:
- pubs:598658
- Copyright holder:
- Schutgens et al.
- Copyright date:
- 2016
- Notes:
-
Copyright © Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Journal article
The importance of temporal collocation for the evaluation of aerosol models with observations
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