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Mapping average annual precipitation in Serbia (1961–1990) by using regression kriging

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Abstract

The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this study is to use geostatistics to characterize the spatial structure and map the spatial variation of average values of precipitation for a 30-year period in Serbia. New, recently introduced, geostatistical algorithms facilitate utilization of auxiliary variables especially remote sensing data or freely available global datasets. The data from Advanced Spaceborn Thermal Emission and Reflection Radiometer global digital elevation model are incorporated as ancillary variables into spatial prediction of average annual precipitation using geostatistical method known as regression kriging. The R 2 value of 0.842 proves high performance result of the prediction of the proposed method.

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Acknowledgments

This work was supported by the Ministry of Science of the Republic of Serbia (contracts no. III 47014, TR 36009, and III 43007)

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Authors and Affiliations

  1. Faculty of Civil Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000, Belgrade, Serbia

    Branislav Bajat & Milutin Pejović

  2. Faculty of Geography, University of Belgrade, Belgrade, Serbia

    Jelena Luković, Predrag Manojlović, Vladan Ducić & Sanja Mustafić

Authors
  1. Branislav Bajat
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  2. Milutin Pejović
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  3. Jelena Luković
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  4. Predrag Manojlović
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  5. Vladan Ducić
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  6. Sanja Mustafić
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Correspondence to Branislav Bajat.

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Bajat, B., Pejović, M., Luković, J. et al. Mapping average annual precipitation in Serbia (1961–1990) by using regression kriging. Theor Appl Climatol 112, 1–13 (2013). https://doi.org/10.1007/s00704-012-0702-2

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  • DOI: https://doi.org/10.1007/s00704-012-0702-2

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