Articles | Volume 20, issue 7
Research article
12 Jul 2016
Research article |  | 12 Jul 2016

Ordinary kriging as a tool to estimate historical daily streamflow records

William H. Farmer


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: Reconsider after major revisions (06 Apr 2016) by Jan Seibert
AR by William Farmer on behalf of the Authors (27 Apr 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 May 2016) by Jan Seibert
RR by Anonymous Referee #1 (22 May 2016)
RR by Alessio Pugliese (06 Jun 2016)
ED: Publish subject to technical corrections (07 Jun 2016) by Jan Seibert
AR by William Farmer on behalf of the Authors (09 Jun 2016)  Author's response    Manuscript
Short summary
The potential of geostatistical tools, leveraging the spatial structure and dependency of correlated time series, for the prediction of daily streamflow time series at unmonitored locations is explored. Simple geostatistical tools improve on traditional estimates of daily streamflow. The temporal evolution of spatial structure, including seasonal fluctuations, is also explored. The proposed method is contrasted with more advanced geostatistical methods and shown to be comparable.