Techniques for analyses of trends in GRUAN data

Bodeker, G. E.; Kremser, S.

doi:https://doi.org/10.5194/amt-8-1673-2015

Articles | Volume 8, issue 4

https://doi.org/10.5194/amt-8-1673-2015

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

https://doi.org/10.5194/amt-8-1673-2015

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

Articles | Volume 8, issue 4

Research article

|

08 Apr 2015

Research article |

| 08 Apr 2015

Techniques for analyses of trends in GRUAN data

G. E. Bodeker and S. Kremser

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Final revised paper (published on 08 Apr 2015)
Preprint (discussion started on 02 Dec 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C4263: 'Referee Comment', Anonymous Referee #2, 18 Dec 2014
- SC C4742: 'Response to review #2', Greg Bodeker, 28 Jan 2015
- AC C5016: 'Response to reviewer #2 (corrected)', Stefanie Kremser, 02 Mar 2015
RC C4915: 'Comments to amtd-7-11957-2014', Anonymous Referee #3, 13 Feb 2015
- AC C5017: 'Response to reviewer #3', Stefanie Kremser, 02 Mar 2015

Short summary

This paper discusses, and demonstrates, the methodology for reliably determining long-term trends in upper air climate data records and how measurement uncertainties should be used in trend analyses. A pedagogical approach is taken whereby numerical recipes for key parts of the trend analysis process are explored. The paper describes the construction of linear least squares regression models for trend analysis and the boot-strapping approach to determine the uncertainty on the derived trends.