Advertisement

Theoretical and Applied Climatology

, Volume 102, Issue 1–2, pp 87–103 | Cite as

Gridded Croatian climatology for 1961–1990

  • Melita Perčec TadićEmail author
Original Paper

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.

Keywords

Kriging Digital Elevation Model Weighted Distance Sunshine Duration Precipitation Station 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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.

References

  1. Abatzoglou JT, Redmond KT, Edwards LM (2009) Classification of regional climate variability in the state of California. J Appl Meteorol Climatol 48:1527–1541CrossRefGoogle Scholar
  2. Bognar A (1996) Croatia−the land and natural features. GeoJournal 38:407–416CrossRefGoogle Scholar
  3. Böhner J, Antonić O (2008) Land-surface parameters specific to topo-climatology. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts software applications. Developments in soil science vol. 33. Elsevier, AmsterdamGoogle Scholar
  4. Burrough PA, McDonnell RA (2004) Principles of Geographical Information Systems. Oxford University Press, OxfordGoogle Scholar
  5. Cegnar T (ed) (1996) Climate of Slovenia. Hydrometeorological Institute of Slovenia, LjubljanaGoogle Scholar
  6. Cressie N (1993) Statistics for Spatial Data. Revised Ed. Wiley, New YorkGoogle Scholar
  7. Daly C, Gibson WP, Taylor GH, Johnson GL, Pasteris P (2002) A knowledge-based approach to the statistical mapping of climate. Clim Res 22:99–113CrossRefGoogle Scholar
  8. Draper NR, Smith H (1998) Applied regression analysis, 3rd edn. Wiley, New YorkGoogle Scholar
  9. DZS (2007) Statistički ljetopis/Statistical Yearbook: Geografski i meteorološki podaci/Geographical and meteorological data. Državni zavod za statistiku/Central Bureau of Statistics, ZagrebGoogle Scholar
  10. FAO (2001) FAOCLIM 2.0 A World-Wide Agroclimatic Database. Food and Agriculture Organization of the United Nations, RomeGoogle Scholar
  11. Gajić-Čapka M, Perčec Tadić M, Patarčić M (2003) Digitalna godišnja oborinska karta Hrvatske (A digital annual precipitation map of Croatia). Hrv. meteor. časopis 38:21–34 in Croatian with eng. summaryGoogle Scholar
  12. GLC2000 Global Land Cover 2000 database (2003) European Commission Joint Research Centre http://bioval.jrc.ec.europa.eu/products/glc2000/products.php
  13. Hengl T (2006) Finding the right pixel size. Comput Geosci 32(9):1283–1298CrossRefGoogle Scholar
  14. Hengl T (2007) A Practical Guide to Geostatistical Mapping of Environmental Variables. EUR 22904 EN Scientific and Technical Research series Office for Official Publications of the European Communities, LuxemburgGoogle Scholar
  15. Hengl T, Heuvelink G, Stein A (2004) A generic framework for spatial prediction of soil variables based on regression-kriging. Geoderma 120:75–93CrossRefGoogle Scholar
  16. Hiebl J, Auer I, Böhm R, Schöner W, Maugeri M, Lentini G, Spinoni J, Brunetti M, Nanni T, Perčec Tadić M, Bihari Z, Dolinar M, Müller-Westermeier G (2009) A high-resolution 1961–1990 monthly temperature climatology for the greater Alpine region. Met Zeith 18(5):507–530Google Scholar
  17. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978CrossRefGoogle Scholar
  18. Jimenez PA, Gonzalez-Rouco JF, Montavez JP, Garcia-Bustamante E, Navarro J (2009) Climatology of wind patterns in the northeast of the Iberian peninsula. Int J Climatol 29:501–525CrossRefGoogle Scholar
  19. Lloyd CD (2005) Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain. J Hydrol 308(1–4):128–150CrossRefGoogle Scholar
  20. Mersich I et al. (ed) (2000) Climate Atlas of Hungary. Hungarian Meteorological Sevice, BudapestGoogle Scholar
  21. Neal RA, Phillips ID (2009) Summer daily precipitation variability over the East Anglian region of Great Britain. Int J Climatol 29:1661–1679CrossRefGoogle Scholar
  22. Neter J, Wasserman W, Kutner MH (1983) Applied linear regression models. Richard D. Irwin, Burr RidgeGoogle Scholar
  23. Pebesma EJ (1997) Gstat user’s manual. Program manual (http://www.geog.uu.nl/gstat/manual/gstat.html)
  24. Pebesma EJ (2006) The role of external variables and GIS databases in geostatistical analysis. T GIS 10(4):615–632CrossRefGoogle Scholar
  25. Pebesma EJ, Wesseling CG (1998) Gstat: a program for geostatistical modelling prediction and simulation. Comput Geosci 24(1):17–31CrossRefGoogle Scholar
  26. Penzar B, Penzar I, Orlić M (2001) Vrijeme i klima hrvatskog Jadrana (Weather and climate of the Croatian part of the Adriatic). Nakladna kuća dr. Feletar, Zagreb in CroatianGoogle Scholar
  27. Perčec Tadić M (2004) Digitalna karta srednje godišnje sume globalnog Sunčeva zračenja i model proračuna globalnog Sunčeva zračenja na nagnute različito orijentirane plohe (Digital Map of the Mean Annual Global Solar Radiation Sum and Calculation Model for Global Solar Radiation on Inclined Variously Oriented Surfaces). Hrv. meteor. časopis 39:41–50 in Croatian with eng. summaryGoogle Scholar
  28. Perry M, Hollis D (2005) The generation of monthly gridded datasets for a range of climatic variables over the UK. Int J Climatol 25(8):1041–1054CrossRefGoogle Scholar
  29. Peterson TC, Vose RS (1997) An overview of the global historical climatology network temperature database. B Am Meteorol Soc 78:2837–2849CrossRefGoogle Scholar
  30. Pleško N, Gajić-Čapka M, Zaninović K (1984) Meteorološke oborinske podloge za projekt “Katastar malih vodnih snaga u SR Hrvatskoj” (Meteorological analysis of precipitation for the study “Water resource menagement in Croatia”). Državni hidrometeorološki zavod, Zagreb (in Croatian–unpublished)Google Scholar
  31. Poje D, Žibrat Z, Gajić-Čapka M (1984) Osnovne karakteristike naoblake i insolacije na području SR Hrvatske (Main features of cloudiness and insolation in the area of Croatia). Rasprave 19:49–74 in Croatian with eng. summaryGoogle Scholar
  32. Thornton PE, Running SW, White MA (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. J Hydrol 190:214–251CrossRefGoogle Scholar
  33. Wackernagel H (2003) Multivariate geostatistics: an introduction with applications, 2nd edn. Springer, New YorkCrossRefGoogle Scholar
  34. Webster R, Oliver MA (2007) Geostatistics for environmental scientists. Wiley, New YorkCrossRefGoogle Scholar
  35. WMO (1996) Climatological normals (CLINO) for the period 1961–1990. World Meteorological Organization Document WMO/OMMNo. 847, Geneva also in WMO Global Standard Normals (DSI−9641A). Digital data set available from the National Climatic Data Center (NCDC) at http://ols.nndc.noaa.gov/plolstore/plsql/olstore.prodspecific?prodnum=C00058-CDR-A0001
  36. Zaninović K, Gajić-Čapka M, Pleško N (1985) Prostorna raspodjela srednje godišnje temperature zraka na području SR Hrvatske (Spatial distribution of mean annual temperature over the area of Croatia) Državni hidrometeorološki zavod, Zagreb (in Croatian–unpublished)Google Scholar
  37. Zaninović K, Gajić-Čapka M, Perčec Tadić M et al (2008) Klimatski atlas Hrvatske/Climate atlas of Croatia 1961–1990, 1971–2000. Državni hidrometeorološki zavod, ZagrebGoogle Scholar
  38. Žibrat Z, Gajić-Čapka M (1986) Globalno zračenje na području SR Hrvatske (Global radiation in the area of Croatia). Rasprave 21:47–58 in Croatian with eng. summaryGoogle Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  1. 1.Department for Climatological Research and Applied ClimatologyMeteorological and Hydrological Service of CroatiaZagrebCroatia

Personalised recommendations