Cumulative areawise testing in wavelet analysis and its application to  geophysical time series

Schulte, Justin A.

doi:https://doi.org/10.5194/npg-23-45-2016

Articles | Volume 23, issue 1

https://doi.org/10.5194/npg-23-45-2016

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

https://doi.org/10.5194/npg-23-45-2016

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

Articles | Volume 23, issue 1

Research article

|

01 Mar 2016

Research article |

| 01 Mar 2016

Cumulative areawise testing in wavelet analysis and its application to geophysical time series

Justin A. Schulte

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Final revised paper (published on 01 Mar 2016)
Preprint (discussion started on 29 Jul 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C486: 'Referee comment', Anonymous Referee #1, 15 Oct 2015
- AC C603: 'Response to Referee 1', Justin Schulte, 03 Jan 2016
RC C545: 'referee report', Anonymous Referee #2, 12 Nov 2015
- AC C604: 'Response to Referee 2', Justin Schulte, 03 Jan 2016

Peer-review completion

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

AR by Justin Schulte on behalf of the Authors (12 Jan 2016) Author's response Manuscript

ED: Publish as is (03 Feb 2016) by Bruce Tsurutani

AR by Justin Schulte on behalf of the Authors (06 Feb 2016) Manuscript

Short summary

The paper presents a new method called cumulative areawise testing that allows scientists to better extract important signals from geophysical time series. The method was found to be able to distinguish aspects of time series that are random from those of potential physical importance better than existing methods in wavelet analysis.