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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 7
Hydrol. Earth Syst. Sci., 20, 2721–2735, 2016
https://doi.org/10.5194/hess-20-2721-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 2721–2735, 2016
https://doi.org/10.5194/hess-20-2721-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Jul 2016

Research article | 12 Jul 2016

Ordinary kriging as a tool to estimate historical daily streamflow records

William H. Farmer

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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: 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
Publications Copernicus
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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.
The potential of geostatistical tools, leveraging the spatial structure and dependency of...
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