Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models

Anderson, R. G.; Lo, M.-H.; Swenson, S.; Famiglietti, J. S.; Tang, Q.; Skaggs, T. H.; Lin, Y.-H.; Wu, R.-J.

doi:https://doi.org/10.5194/gmd-8-3021-2015

Articles | Volume 8, issue 10

https://doi.org/10.5194/gmd-8-3021-2015

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

https://doi.org/10.5194/gmd-8-3021-2015

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

Articles | Volume 8, issue 10

Development and technical paper

|

02 Oct 2015

Development and technical paper |

| 02 Oct 2015

Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models

R. G. Anderson, M.-H. Lo, S. Swenson, J. S. Famiglietti, Q. Tang, T. H. Skaggs, Y.-H. Lin, and R.-J. Wu

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Final revised paper (published on 02 Oct 2015)
Supplement to the final revised paper
Preprint (discussion started on 29 Apr 2015)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC C996: 'Review', Anonymous Referee #1, 07 Jun 2015
RC C1271: 'Reviewer comment', Anonymous Referee #2, 30 Jun 2015
AC C1520: 'Author response to reviewer comments', Ray Anderson, 24 Jul 2015

Peer-review completion

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

AR by Ray Anderson on behalf of the Authors (24 Jul 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (06 Aug 2015) by Wilco Hazeleger

RR by Anonymous Referee #1 (10 Aug 2015)

RR by Anonymous Referee #2 (14 Aug 2015)

ED: Publish subject to minor revisions (Editor review) (01 Sep 2015) by Wilco Hazeleger

AR by Ray Anderson on behalf of the Authors (04 Sep 2015) Author's response Manuscript

ED: Publish as is (14 Sep 2015) by Wilco Hazeleger

AR by Ray Anderson on behalf of the Authors (21 Sep 2015)

Short summary

Current land surface models (LSMs) poorly represent irrigation impacts on regional hydrology. Approaches to include irrigation in LSMs are based on either potentially outdated irrigation inventory data or soil moisture curves that are not constrained by regional water balances. We use satellite remote sensing of actual ET and groundwater depletion to develop recent estimates of regional irrigation data. Remote sensing parameterizations of irrigation improve model performance.