Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences

Hu, Wei; Si, Bing

doi:https://doi.org/10.5194/hess-25-321-2021

Articles | Volume 25, issue 1

https://doi.org/10.5194/hess-25-321-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-321-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 1

Technical note

|

19 Jan 2021

Technical note |

| 19 Jan 2021

Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences

Wei Hu and Bing Si

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Final revised paper (published on 19 Jan 2021)
Supplement to the final revised paper
Preprint (discussion started on 07 Aug 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'recommend minor revisions', Anonymous Referee #1, 10 Sep 2020
- AC1: 'Response to Reviewer#1', Wei Hu, 07 Oct 2020
RC2: 'review for Hu and Si', Anonymous Referee #2, 11 Sep 2020
- AC2: 'Response to Reviewer#2', Wei Hu, 07 Oct 2020
RC3: 'Review comments', Anonymous Referee #3, 28 Sep 2020
- AC3: 'Response to Reviewer#3', Wei Hu, 07 Oct 2020
EC1: 'Editor comment', Bettina Schaefli, 12 Oct 2020

Peer-review completion

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

ED: Publish subject to revisions (further review by editor and referees) (12 Oct 2020) by Bettina Schaefli

AR by Wei Hu on behalf of the Authors (22 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (26 Oct 2020) by Bettina Schaefli

RR by Anonymous Referee #2 (02 Nov 2020)

ED: Publish subject to revisions (further review by editor and referees) (05 Nov 2020) by Bettina Schaefli

AR by Wei Hu on behalf of the Authors (18 Nov 2020) Author's response Manuscript

ED: Publish subject to technical corrections (30 Nov 2020) by Bettina Schaefli

AR by Wei Hu on behalf of the Authors (06 Dec 2020) Author's response Manuscript

Short summary

Partial wavelet coherency method is improved to explore the bivariate relationships at different scales and locations after excluding the effects of other variables. The method was tested with artificial datasets and applied to a measured dataset. Compared with others, this method has the advantages of capturing phase information, dealing with multiple excluding variables, and producing more accurate results. This method can be used in different areas with spatial or temporal datasets.