The role of station density for predicting daily runoff by top-kriging interpolation in Austria

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Title:The role of station density for predicting daily runoff by top-kriging interpolation in Austria
Creators:
Parajka, Juraj; parajka at hydro dot tuwien dot ac dot at; Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Karlsplatz 13/222, Vienna, Austria.
Merz, Ralf; Department for Catchment Hydrology, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser-Straße 4, Halle, Germany.
Skøien, Jon Olav; Institute of Environment and Sustainability, Joint Research Centre, European Commission, Via Enrico Fermi 2749, Ispra, Italy.
Viglione, Alberto; Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Karlsplatz 13/222, Vienna, Austria.
Journal or Publication Title:
Journal of Hydrology and Hydromechanics, 63, 3, pp. 228-234
Uncontrolled Keywords:top-kriging, interpolation, PUB, daily runoff, station density

Abstract

Direct interpolation of daily runoff observations to ungauged sites is an alternative to hydrological model regionalisation. Such estimation is particularly important in small headwater basins characterized by sparse hydrological and climate observations, but often large spatial variability. The main objective of this study is to evaluate predictive accuracy of top-kriging interpolation driven by different number of stations (i.e. station densities) in an input dataset. The idea is to interpolate daily runoff for different station densities in Austria and to evaluate the minimum number of stations needed for accurate runoff predictions. Top-kriging efficiency is tested for ten different random samples in ten different stations densities. The predictive accuracy is evaluated by ordinary cross-validation and full-sample crossvalidations. The methodology is tested by using 555 gauges with daily observations in the period 1987–1997. The results of the cross-validation indicate that, in Austria, top-kriging interpolation is superior to hydrological model regionalisation if station density exceeds approximately 2 stations per 1000 km2 (175 stations in Austria). The average median of Nash-Sutcliffe cross-validation efficiency is larger than 0.7 for densities above 2.4 stations/1000 km2. For such densities, the variability of runoff efficiency is very small over ten random samples. Lower runoff efficiency is found for low station densities (less than 1 station/1000 km2) and in some smaller headwater basins.

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Title:The role of station density for predicting daily runoff by top-kriging interpolation in Austria
Translated title:The role of station density for predicting daily runoff by top-kriging interpolation in Austria
Creators:
Parajka, Juraj; parajka at hydro dot tuwien dot ac dot at; Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Karlsplatz 13/222, Vienna, Austria.
Merz, Ralf; Department for Catchment Hydrology, Helmholtz Centre for Environmental Research – UFZ, Theodor-Lieser-Straße 4, Halle, Germany.
Skøien, Jon Olav; Institute of Environment and Sustainability, Joint Research Centre, European Commission, Via Enrico Fermi 2749, Ispra, Italy.
Viglione, Alberto; Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Karlsplatz 13/222, Vienna, Austria.
Uncontrolled Keywords:top-kriging, interpolation, PUB, daily runoff, station density
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Mathematics, Physics and Earth Sciences > Institute of Hydrodynamics > Journal of Hydrology and Hydromechanics
Journal or Publication Title:Journal of Hydrology and Hydromechanics
Volume:63
Number:3
Page Range:pp. 228-234
ISSN:0042-790X
Publisher:Institute of Hydrology of the Slovak Academy of Sciences and the Institute of Hydrodynamics of the Academy of Sciences of the Czech Republic
Related URLs:
URLURL Type
http://avi.lib.cas.cz/node/55Publisher
ID Code:8524
Item Type:Article
Deposited On:17 Dec 2015 12:39
Last Modified:17 Dec 2015 11:39

Citation

Parajka, Juraj; Merz, Ralf; Skøien, Jon Olav; Viglione, Alberto (2015) The role of station density for predicting daily runoff by top-kriging interpolation in Austria. Journal of Hydrology and Hydromechanics, 63 (3). pp. 228-234. ISSN 0042-790X

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