Describing rainfall in northern Australia using multiple climate indices

Rogers, Cassandra Denise Wilks; Beringer, Jason

doi:https://doi.org/10.5194/bg-14-597-2017

Articles | Volume 14, issue 3

https://doi.org/10.5194/bg-14-597-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

OzFlux: a network for the study of ecosystem carbon and water...

https://doi.org/10.5194/bg-14-597-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14, issue 3

Research article

|

07 Feb 2017

Research article |

| 07 Feb 2017

Describing rainfall in northern Australia using multiple climate indices

Cassandra Denise Wilks Rogers and Jason Beringer

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Final revised paper (published on 07 Feb 2017)
Preprint (discussion started on 04 May 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee comments for bg-2016-172', Anonymous Referee #1, 19 May 2016
RC2: 'Comments', Jerry Hatfield, 11 Aug 2016
AC1: 'Response to reviewers Describing rainfall in northern Australia using multiple climate indices', Beringer Jason, 03 Oct 2016

Peer-review completion

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

ED: Publish subject to minor revisions (Editor review) (11 Nov 2016) by Monique Y. Leclerc

AR by Jason Beringer on behalf of the Authors (06 Dec 2016) Author's response Manuscript

ED: Publish as is (11 Jan 2017) by Monique Y. Leclerc

AR by Jason Beringer on behalf of the Authors (20 Jan 2017) Manuscript

Short summary

Savannas are extensive yet sensitive to variability in precipitation. We examined the relationship between climate phenomena and historical rainfall variability across Australian savannas using 16 climate indicies. Seasonal variation was most correlated with the Australian Monsoon Index, whereas interannual variability was related to a greater number of phenomena. Rainfall variability and the underlying climate processes driving variability are important.