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

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

doi:https://doi.org/10.5194/acp-16-6335-2016

Articles | Volume 16, issue 10

https://doi.org/10.5194/acp-16-6335-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-6335-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 10

Research article

| Highlight paper

|

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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Final revised paper (published on 24 May 2016)
Preprint (discussion started on 19 Jan 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of Schutgens et al.', Anonymous Referee #1, 17 Feb 2016
- AC1: 'Reply to reviewer 1', Nick Schutgens, 25 Apr 2016
RC2: 'Review', Anonymous Referee #2, 22 Feb 2016
- AC2: 'Reply to reviewer 2', Nick Schutgens, 25 Apr 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Nick Schutgens on behalf of the Authors (25 Apr 2016) Author's response Manuscript

ED: Publish as is (09 May 2016) by Yves Balkanski

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.