Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?

Kaune, Alexander; Werner, Micha; López López, Patricia; Rodríguez, Erasmo; Karimi, Poolad; de Fraiture, Charlotte

doi:https://doi.org/10.5194/hess-23-2351-2019

Articles | Volume 23, issue 5

https://doi.org/10.5194/hess-23-2351-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Integration of Earth observations and models for global water...

https://doi.org/10.5194/hess-23-2351-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 5

Research article

|

16 May 2019

Research article |

| 16 May 2019

Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?

Alexander Kaune, Micha Werner, Patricia López López, Erasmo Rodríguez, Poolad Karimi, and Charlotte de Fraiture

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Final revised paper (published on 16 May 2019)
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Preprint (discussion started on 29 Jun 2018)
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Interactive discussion

Status: closed

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

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RC1: 'Reviewer's comments', Anonymous Referee #1, 09 Nov 2018
- AC1: 'Response referee 1', Alexander Kaune, 27 Feb 2019
RC2: 'Comments on: Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture? by Kaune A. et al.', Anonymous Referee #2, 02 Jan 2019
- AC2: 'Response referee 2', Alexander Kaune, 27 Feb 2019

Peer-review completion

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

ED: Publish as is (18 Apr 2019) by Gianpaolo Balsamo

AR by Alexander Kaune on behalf of the Authors (25 Apr 2019) Author's response Manuscript

Short summary

The value of using longer periods of record of river discharge information from global precipitation datasets is assessed for irrigation area planning. Results show that for all river discharge simulations the benefit of choosing the irrigated area based on the 30 years of simulated data is higher compared to using only 5 years of observed discharge data. Hence, irrigated areas can be better planned using 30 years of river discharge information from global precipitation datasets.