Global terrestrial water storage connectivity revealed using complex climate network analyses

Sun, A. Y.; Chen, J.; Donges, J.

doi:https://doi.org/10.5194/npg-22-433-2015

Articles | Volume 22, issue 4

https://doi.org/10.5194/npg-22-433-2015

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

Special issue:

Complex network approaches to analyzing and modeling nonlinear...

https://doi.org/10.5194/npg-22-433-2015

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

Articles | Volume 22, issue 4

Research article

|

30 Jul 2015

Research article |

| 30 Jul 2015

Global terrestrial water storage connectivity revealed using complex climate network analyses

A. Y. Sun, J. Chen, and J. Donges

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Final revised paper (published on 30 Jul 2015)
Preprint (discussion started on 30 Apr 2015)

Interactive discussion

Status: closed

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

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RC C194: 'Comment', Anonymous Referee #1, 05 Jun 2015
- AC C262: 'Response to Reviewer #1', Alex Sun, 04 Jul 2015
RC C200: 'Review', Anonymous Referee #2, 12 Jun 2015
- AC C263: 'Response to Reviewer #2', Alex Sun, 04 Jul 2015

Peer-review completion

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

AR by Alex Sun on behalf of the Authors (18 Jul 2015)

ED: Publish as is (21 Jul 2015) by Joern Davidsen

AR by Alex Sun on behalf of the Authors (21 Jul 2015)

Short summary

Terrestrial water storage (TWS) plays a key role in global water and energy cycles. This work applies complex climate networks to analyzing spatial patterns in TWS. A comparative analysis is conducted using a remotely sensed (GRACE) and a model-generated TWS data set. Our results reveal hotspots of TWS anomalies around the global land surfaces. Prospects are offered on using network connectivity as constraints to further improve current global land surface models.