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

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...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5194/acp-16-1065-2016

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
More from this funder
Funding agency for:
Stier, P
Grant:
ACCLAIM (grant agreement no. FP7-280025
Publisher:
European Geosciences Union Publisher's website
Journal:
Atmospheric Chemistry and Physics Journal website
Volume:
16
Issue:
2
Pages:
1065-1079
Publication date:
2016-01-29
Acceptance date:
2016-01-12
DOI:
ISSN:
1680-7316
Source identifiers:
598658
Language:
English
Keywords:
Pubs id:
pubs:598658
UUID:
uuid:9e2fedc5-cf9e-4db0-b694-4df79be150d5
Local pid:
pubs:598658
Deposit date:
2016-02-03

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