Articles | Volume 8, issue 4
Geosci. Model Dev., 8, 1233–1244, 2015
https://doi.org/10.5194/gmd-8-1233-2015
Geosci. Model Dev., 8, 1233–1244, 2015
https://doi.org/10.5194/gmd-8-1233-2015

Methods for assessment of models 29 Apr 2015

Methods for assessment of models | 29 Apr 2015

Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging

S. Multsch et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sebastian Multsch on behalf of the Authors (17 Feb 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Feb 2015) by James Annan
RR by Anonymous Referee #2 (11 Mar 2015)
RR by Anonymous Referee #1 (14 Mar 2015)
ED: Publish subject to technical corrections (01 Apr 2015) by James Annan
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Short summary
Irrigation agriculture is required to sustain yields that allow feeding the world population. A robust assessment of irrigation requirement (IRR) relies on a sound quantification of evapotranspiration (ET). We prepared a multi-model ensemble considering several ET methods and investigate uncertainties in simulating IRR. More generally, we provide an example of the value of investigating the uncertainty in models that may be used to inform policy-making and to elaborate best management practices.