Global partitioning of runoff generation mechanisms using remote sensing data

Lucey, Joseph T. D.; Reager, John T.; Lopez, Sonya R.

doi:https://doi.org/10.5194/hess-24-1415-2020

Articles | Volume 24, issue 3

https://doi.org/10.5194/hess-24-1415-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-1415-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 3

Research article

|

27 Mar 2020

Research article |

| 27 Mar 2020

Global partitioning of runoff generation mechanisms using remote sensing data

Joseph T. D. Lucey, John T. Reager, and Sonya R. Lopez

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Final revised paper (published on 27 Mar 2020)
Preprint (discussion started on 08 Jul 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Lucey et al 2019', Anonymous Referee #1, 25 Jul 2019
- AC1: 'Author Responses to Comments', Joseph Lucey, 07 Sep 2019
RC2: 'Review comments on "Global partitioning of runoff generation mechanisms using remote sensing data" by Lucey et al.', Anonymous Referee #2, 05 Nov 2019
- AC2: 'Authors Response to Comments', Joseph Lucey, 17 Dec 2019

Peer-review completion

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

ED: Publish subject to minor revisions (further review by editor) (13 Jan 2020) by Niko Wanders

AR by Joseph Lucey on behalf of the Authors (27 Jan 2020) Author's response Manuscript

ED: Publish as is (17 Feb 2020) by Niko Wanders

AR by Joseph Lucey on behalf of the Authors (24 Feb 2020)

Short summary

This work relates total water storage (TWS) and rainfall to surface water inundation (SWI) using NASA satellite data. We determine whether TWS and/or rainfall control global SWI developments. Regression methods and cross-correlations were used to relate the measurements and correct for time differences among peaks. Results show TWS and rainfall control most global SWI developments. To our knowledge, this is the first global study on SWI controls and validates previous findings.