Articles | Volume 22, issue 2
Research article
26 Feb 2018
Research article |  | 26 Feb 2018

A nonparametric statistical technique for combining global precipitation datasets: development and hydrological evaluation over the Iberian Peninsula

Md Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Pere Quintana-Seguí, and Anaïs Barella-Ortiz


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) (28 Sep 2017) by Hannah Cloke
AR by Emmanouil Anagnostou on behalf of the Authors (16 Nov 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Dec 2017) by Hannah Cloke
RR by Hamed Alemohammad (22 Dec 2017)
ED: Publish as is (10 Jan 2018) by Hannah Cloke
Short summary
This study investigates the use of a nonparametric model for combining multiple global precipitation datasets and characterizing estimation uncertainty. Inputs to the model included three satellite precipitation products, an atmospheric reanalysis precipitation dataset, satellite-derived near-surface daily soil moisture data, and terrain elevation. We evaluated the technique based on high-resolution reference precipitation data and further used generated ensembles to force a hydrological model.