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:
- Peer review status:
- Peer reviewed
- Publisher's version
- Copyright holder:
- Schutgens et al.
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Copyright © Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
The importance of temporal collocation for the evaluation of aerosol models with observations
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