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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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Cited articles

Andréassian, V., Lerat, J., Le Moine, N., and Perrin, C.: Neighbors: Nature's own hydrological models, J. Hydrol., 414-415, 49–58, https://doi.org/10.1016/j.jhydrol.2011.10.007, 2012.
Archfield, S. A. and Vogel, R. M.: Map correlation method: Selection of a reference streamgage to estimate daily streamflow at ungaged catchments, Water Resour. Res., 46, 1–15, https://doi.org/10.1029/2009WR008481, 2010.
Archfield, S. A., Pugliese, A., Castellarin, A., Skøien, J. O., and Kiang, J. E.: Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?, Hydrol. Earth Syst. Sci., 17, 1575–1588, https://doi.org/10.5194/hess-17-1575-2013, 2013
Arnell, N. W.: Grid mapping of river discharge, J. Hydrol., 167, 39–56, https://doi.org/10.1016/0022-1694(94)02626-M, 1995.
Asquith, W. H., Roussel, M. C., and Vrabel, J.: Statewide Analysis of the Drainage-Area Ratio Method for 34 Streamflow Percentile Ranges in Texas, Scientific Investigations Report 2006-5286, U.S. Geological Survey, 2006.
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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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