Journal
THEORETICAL AND APPLIED CLIMATOLOGY
Volume 112, Issue 1-2, Pages 1-13Publisher
SPRINGER WIEN
DOI: 10.1007/s00704-012-0702-2
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Funding
- Ministry of Science of the Republic of Serbia [III 47014, TR 36009, III 43007]
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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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