Abstract
In climatology, one of the most important pieces of information about the climate of a place or a region is information about the Climatological Normals (CLINO)—the average values of meteorological elements for a 30-year period. This kind of information usually comes in tables and is available for different observation sites from national meteorological services or from World Meteorological Organisation publications. The key issue, then, becomes how to interpolate these values over the entire area of interest to get reliable and accurate estimates (maps) of climatic elements. Here, the regression kriging framework has been applied for mapping of 20 climatological parameters for the 1961–1990 period for the 56,594 km2 of Croatian territory, with a resolution of 1 km. In total, 152 main and climatological and 567 precipitation-measuring stations have been used in the analysis. Extensive pre-processing of metadata on station co-ordinates has been done, as well as completion of missing monthly averages. The final results are 20 climatological maps available in high resolution together with error maps and accuracy assessment measures.
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Notes
SRTM_DEM_RH_100m.zip obtained from http://spatial-analyst.net
Data downloaded from: ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/v2/zipd/v2.mean.zip
For list of stations see: http://cdo.ncdc.noaa.gov/cdo/3500stn.txt
Data downloaded from: ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/v2/zipd/v2.prcp.zip
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Acknowledgement
The author is grateful to the organisers of the GEOSTAT summer school (Tomislav Hengl, Roger Bivand, Edzer J. Pebesma, Olaf Conrad and Victor Olaya Ferrero) for their inspiring course and comments and suggestions on the subject of geostatistics, R and Google Earth... The author is also very grateful to the anonymous revisers for constructive comments that helped improve this manuscript.
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Perčec Tadić, M. Gridded Croatian climatology for 1961–1990. Theor Appl Climatol 102, 87–103 (2010). https://doi.org/10.1007/s00704-009-0237-3
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DOI: https://doi.org/10.1007/s00704-009-0237-3