Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI

Ruiz-Pérez, Guiomar; Koch, Julian; Manfreda, Salvatore; Caylor, Kelly; Francés, Félix

doi:https://doi.org/10.5194/hess-21-6235-2017

Articles | Volume 21, issue 12

https://doi.org/10.5194/hess-21-6235-2017

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

https://doi.org/10.5194/hess-21-6235-2017

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

Articles | Volume 21, issue 12

Research article

|

08 Dec 2017

Research article |

| 08 Dec 2017

Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI

Guiomar Ruiz-Pérez, Julian Koch, Salvatore Manfreda, Kelly Caylor, and Félix Francés

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Final revised paper (published on 08 Dec 2017)
Preprint (discussion started on 08 Nov 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI” by Ruiz-Pérez', Shervan Gharari, 16 Jan 2017
- SC1: 'Response to Shervan Gharari', Guiomar Ruiz-Pérez, 17 Jan 2017
  - RC3: 'Review of “Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI” by Ruiz-Pérez', Shervan Gharari, 17 Mar 2017
RC2: 'Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI', Anonymous Referee #2, 16 Feb 2017
- SC2: 'Response to Anonymous Referee #2', Guiomar Ruiz-Pérez, 20 Feb 2017
AC1: 'final author comments', Guiomar Ruiz-Pérez, 31 Mar 2017
EC1: 'Editor's comment', Dimitri Solomatine, 31 Mar 2017

Peer-review completion

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

ED: Publish subject to revisions (further review by Editor and Referees) (31 Mar 2017) by Dimitri Solomatine

AR by Guiomar Ruiz-Pérez on behalf of the Authors (29 Apr 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (10 May 2017) by Dimitri Solomatine

RR by Shervan Gharari (08 Jun 2017)

RR by Anonymous Referee #3 (27 Oct 2017)

ED: Publish subject to minor revisions (review by editor) (27 Oct 2017) by Dimitri Solomatine

AR by Guiomar Ruiz-Pérez on behalf of the Authors (03 Nov 2017) Author's response Manuscript

ED: Publish as is (07 Nov 2017) by Dimitri Solomatine

AR by Guiomar Ruiz-Pérez on behalf of the Authors (07 Nov 2017)

Short summary

Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid and semi-arid ecosystems. Remote sensing data appears as an appealing source of information for vegetation monitoring, in particular in areas with a limited amount of available field data. Here, we present an example of how remote sensing data can be exploited in a data-scarce basin. We propose a mathematical methodology that can be used as a springboard for future applications.