Articles | Volume 22, issue 2
Hydrol. Earth Syst. Sci., 22, 1317–1336, 2018
https://doi.org/10.5194/hess-22-1317-2018
Hydrol. Earth Syst. Sci., 22, 1317–1336, 2018
https://doi.org/10.5194/hess-22-1317-2018

Research article 21 Feb 2018

Research article | 21 Feb 2018

Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate

Sanaa Hobeichi 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
ED: Publish subject to revisions (further review by Editor and Referees) (13 Jul 2017) by Bob Su
AR by Sanaa Hobeichi on behalf of the Authors (27 Jul 2017)  Author's response    Manuscript
ED: Publish subject to revisions (further review by Editor and Referees) (08 Aug 2017) by Bob Su
ED: Referee Nomination & Report Request started (21 Sep 2017) by Bob Su
RR by Paul Dirmeyer (21 Sep 2017)
RR by Anonymous Referee #2 (06 Oct 2017)
ED: Publish subject to revisions (further review by Editor and Referees) (08 Oct 2017) by Bob Su
AR by Sanaa Hobeichi on behalf of the Authors (31 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Nov 2017) by Bob Su
RR by Xuelong Chen (07 Nov 2017)
RR by Carlos Jimenez (06 Dec 2017)
ED: Publish subject to revisions (further review by editor and referees) (11 Dec 2017) by Bob Su
AR by Anna Wenzel on behalf of the Authors (04 Jan 2018)  Author's response
ED: Publish as is (08 Jan 2018) by Bob Su
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Short summary
We present a new global ET dataset and associated uncertainty with monthly temporal resolution for 2000–2009 and 0.5 grid cell size. Six existing gridded ET products are combined using a weighting approach trained by observational datasets from 159 FLUXNET sites. We confirm that point-based estimates of flux towers provide information at the grid scale of these products. We also show that the weighted product performs better than 10 different existing global ET datasets in a range of metrics.