An objective determination of optimal site locations for detecting expected trends in upper-air temperature and total column ozone

Kreher, K.; Bodeker, G. E.; Sigmond, M.

doi:https://doi.org/10.5194/acp-15-7653-2015

Articles | Volume 15, issue 13

https://doi.org/10.5194/acp-15-7653-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-15-7653-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 13

Research article

|

14 Jul 2015

Research article |

| 14 Jul 2015

An objective determination of optimal site locations for detecting expected trends in upper-air temperature and total column ozone

K. Kreher, G. E. Bodeker, and M. Sigmond

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Final revised paper (published on 14 Jul 2015)
Preprint (discussion started on 19 Jan 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C237: 'Comments from Ys', Anonymous Referee #1, 15 Feb 2015
- AC C3071: 'Reply to reviewer #1', Karin Kreher, 29 May 2015
RC C646: 'An objective determination of optimal site locations for detecting expected trends in upper air temperature and total column ozone Kreher at al.', N.R.P. Harris, 11 Mar 2015
- AC C3073: 'Reply to reviewer #2, Neil Harris', Karin Kreher, 29 May 2015

Peer-review completion

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

AR by Karin Kreher on behalf of the Authors (29 May 2015) Author's response Manuscript

ED: Publish as is (01 Jun 2015) by Martin Dameris

AR by Karin Kreher on behalf of the Authors (11 Jun 2015)

Short summary

This manuscript aims to answer the following question: which of the existing sites engaged in upper-air temperature measurements are best located to detect expected future trends within the shortest time possible? To do so, we explore one objective method for selecting the optimal locations for detecting projected 21st century trends and then demonstrate a similar technique for objectively selecting optimal locations for detecting expected future trends in total column ozone.