Theoretical and Applied Climatology

, Volume 102, Issue 1–2, pp 171–184 | Cite as

Spatial and temporal analysis of dry spells in Croatia

  • K. CindrićEmail author
  • Z. Pasarić
  • M. Gajić-Čapka
Original Paper


Systematic statistical analysis of dry day sequences, which are defined according to 0.1, 1, 5 and 10 mm of precipitation-per-day thresholds, is performed on seasonal and yearly basis. The data analysed come from 25 Croatian meteorological stations and cover the period 1961–2000. Climatological features of the mean and maximum dry spell durations, as well as the frequency of long dry spells (>20 days) are discussed. The results affirm the three main climatological regions in Croatia, with the highlands exhibiting shorter dry spells than the mainland, and the coastal region exhibiting longer dry spells. The prevailing positive trend of both mean and maximal durations is detected during winter and spring seasons, while negative trend dominate in autumn for all thresholds. Positive field significant trends of mean dry spell duration with 5 and 10 mm thresholds are found during spring and the same is valid for annual maximum dry spell duration with a 10 mm threshold. It is found that the Discrete Autoregressive Moving Average (DARMA(1,1)) model can be used to estimate the probabilities of dry spells in Croatia that are up to 20–30 days long.


Weather Type Trend Pattern Significant Positive Trend Adriatic Coast Extreme Precipitation Index 
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.



Two anonymous referees are gratefully acknowledged for their detailed and constructive suggestions. The work was supported by the Croatian Ministry of Science, Education and Sports (grants 119-1193086-3085, 119-1193086-1323 and 004-1193086-3035).


  1. Alexandersson H (1986) A homogeneity test applied to precipitation data. J Clim 6:661–675CrossRefGoogle Scholar
  2. Anagnostopoulou C, Maheras P, Karacostas T, Vafiadis M (2003) Spatial and temporal analysis of dry spells in Greece. Theor Appl Climatol 74:77–91CrossRefGoogle Scholar
  3. Bai A, Zhai P, Liu X (2007) Climatology and trends of wet spells in China. Theor Appl Climatol 88:139–148CrossRefGoogle Scholar
  4. Bajić A, Gajić-Čapka M, Lončar E, Pandžić K (2003) Regionalna klima velebitskog područja/Regional Climate of the Velebit Mountain. In: Gajić-Čapka (ed) Zavižan između snijega, vjetra i Sunca/Zavižan among snow, wind and sun, Zagreb, Meteorological and Hydrological Service of Croatia and Croatian Meteorological Society, pp 63–70, pp 246–247Google Scholar
  5. Bartholy J, Pongracz R (2005) Tendencies of extreme climate indices based on daily precipitation in the Carpathian Basin for the 20th century. Időjárás 109:1–20Google Scholar
  6. Branković Č, Patarčić M, Srnec L (2009) An assessment of global and regional climate change based on the EH5OM climate model ensemble. Clim Change. doi: 10.1007/s10584-009-9731-y
  7. Buishand RA (1978) The binary DARMA(1, 1) process as a model for wet and dry sequence. Dept. of Math. Agricultural University, WageningenGoogle Scholar
  8. Chang TJ, Kavvas ML, Delleur JW (1984) Modeling of sequences of wet and dry days by binary discrete autoregressive moving average processes. J Clim Appl Meteorol 23:1367–1378CrossRefGoogle Scholar
  9. Chu PS, Wang JB (1997) Recent climate change in the tropical western Pacific and Indian Ocean regions as detected by outgoing long wave radiation. J Clim 10:636–646CrossRefGoogle Scholar
  10. Deni SM, Jamaludin S, Wan Zin WZ, Jemain AA (2008) Tracing trends in the sequences of dry and wet days over peninsular Malaysia. J Environ Sci Techol, ISSN 1994-7887Google Scholar
  11. Frich P, Alexander LV, Della-Marta P, Gleason B, Haylock M, Klein Tank AMG, Peterson T (2002) Observed coherent changes in climatic extremes during the second half of the twentieth century. Clim Res 19:193–212CrossRefGoogle Scholar
  12. Gabriel KR, Neumann J (1962) A Markov chain model for daily rainfall occurrence at Tel Aviv. Quart J Roy Meteor Soc 88:90–95CrossRefGoogle Scholar
  13. Gajić-Čapka M (2006) Trends in indices of precipitation extremes in Croatia, 1901-2004 Sixth European Conference on Applied Climatology (ECAC), Ljubljana, Slovenia, 4–8 September 2006, Abstracts, A-00471Google Scholar
  14. Gajić-Čapka M, Zaninović K (2008) Klima Hrvatske/Climate of Croatia. In: Zaninović K (ed) Klimatski atlas Hrvatske/Climate Atlas of Croatia 1961–1990, 1971–2000. Državni hidrometeorološki zavod / Meteorological and Hydrological Service of Croatia, Zagreb, pp 13–17Google Scholar
  15. Gajić-Čapka M, Cindrić K, Mihajlović D (2008) Oborina / Precipitation. In: Zaninović K (ed) Klimatski atlas Hrvatske/Climate Atlas of Croatia 1961–1990, 1971–2000. Croatian Meteorological and Hydrological Service (DHMZ), Zagreb, p 120Google Scholar
  16. Gilbert RO (1987) Statistical methods for environmental pollution monitoring. Wiley, New YorkGoogle Scholar
  17. Horvath K, Lin YL, Ivančan-Picek B (2008) Classification of cyclone tracks over the Apennines and the Adriatic Sea. Mon Weather Rev 136:2210–2227CrossRefGoogle Scholar
  18. Hulme M, Osborn TJ, Johns TC (1998) Precipitation sensitivity to global warming: Comparison of observations with HadCM2 simulations. Geophys Res Lett 25:3379–3382CrossRefGoogle Scholar
  19. Juras J (1989) On modelling binary meteorological sequences with special emphasis on frequencies of warm and cold spells (in Croatian). Papers/Rasprave 24:29–37Google Scholar
  20. Juras J, Jurčec V (1976) The statistical analysis of dry and wet spells by the application of Markov chain probability model (in Croatian). Papers, RHMZ Hrvatske 13:59–98Google Scholar
  21. Katušin Z, Milković J (2008) Mreže meteoroloških postaja, obrada, kontrola i pohranjivanje podataka/Meteorological station network, data processing, controlling and archiving. In: Zaninović K (ed) Klimatski atlas Hrvatske/Climate Atlas of Croatia 1961–1990, 1971–2000. Državni hidrometeorološki zavod / Meteorological and Hydrological Service of Croatia, Zagreb, pp 19–25Google Scholar
  22. Katz RW (1974) Computing probabilities associated with the Markov chain model for precipitation. J Appl Meteor 13:953–954CrossRefGoogle Scholar
  23. Lana X, Burgueno A (1998) Daily dry wet behaviour in Catalonia (NE Spain) from the view point of Markov chains. Int J Climatol 18:793–815CrossRefGoogle Scholar
  24. Lana X, Martinez MD, Serra C, Burgueno A (2004) Spatial and temporal variability of the daily rainfall regime in Catalonia (Northeastern Spain), 1950–2000. Int J Climatol 18:793–815CrossRefGoogle Scholar
  25. Lana X, Martinez MD, Burgueno A, Serra C, Martin-Vide J, Gomez L (2008) Spatial and temporal patterns of dry spell lengths in the Iberian Peninsula for the second half of the twentieth century. Theor Appl Climatol 91:99–116CrossRefGoogle Scholar
  26. Lionello P, Boldrin U, Giorgi F (2008) Future changes in cyclone climatology over Europe as inferred from a regional climate simulation. Clim Dyn 30:657–671CrossRefGoogle Scholar
  27. Lončar E, Bajić A (1994) The weather types in Croatia. (in Croatian). Croatian Meteor J 29:31–41Google Scholar
  28. Lončar E, Vučetić V (2003) Weather types and their application to the Northern Adriatic (in Croatian). Croatian Meteor J 38:57–81Google Scholar
  29. Martin-Vide J, Gomez L (1999) Regionalization of peninsular Spain based on the length of dry spells. Int J Climatol 19:537–555CrossRefGoogle Scholar
  30. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao Z-C (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate Change 2007: the physical science basis. Contribution of Working Group 1 to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  31. MZOPUG (2006) Second, third and fourth national communication of the Republic of Croatia under the United Nations framework convention on climate change. Ministry of Environmental Protection, Physical Planning and Construction of the Republic of Croatia (MZOPUG), ZagrebGoogle Scholar
  32. Nakićenović N, Alcamo J, Davis G, de Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, La Rovere EL, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner H-H, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2000) Special report on emissions scenarios. In: Nakićenović N, Swart R (eds) A Special Report of Working Group III of the Intergovernmental Panel on Climate Change IPCC. Cambridge University Press, Cambridge, p 599Google Scholar
  33. Schmidli J, Frei C (2005) Trends of heavy precipitation and wet and dry spells in Switzerland during the 20 th century. Int J Climatol 25:753–771CrossRefGoogle Scholar
  34. Sen PK (1968) Esitmates of the regression coefficient based on Kedall’s tau. J Am Stat Assoc 63:1379–1389CrossRefGoogle Scholar
  35. Serra C, Burgueno A, Martinez MD, Lana X (2006) Trends in dry spells across Catalonia (NE Spain) during the second half of the 20th century. Theor Appl Climatol 85:165–183CrossRefGoogle Scholar
  36. Sivakumar MVK (1992) Empirical analysis of dry spells for agricultural applications in west Africa. J Clim 5:532–539CrossRefGoogle Scholar
  37. Tebaldi C, Hayhoe K, Arblaster JM, Meehl GA (2006) Going to the extremes: an intercomparison of model-simulated historical and future changes in extreme events. Clim Change 79:185–211CrossRefGoogle Scholar
  38. Trenberth KE, Jones PD, Ambenje P, Bojariu R, Easterling D, Klein Tank A, Parker D, Rahimzadeh F, Renwick JA, Rusticucci M, Soden B, Zhai P (2007) Observations: surface and atmospheric climate change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis MC, Averyt KB, Tignor M, Miller HL (eds) Climate Change 2007: the physical science basis. Contribution of Working Group 1 to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 235–336Google Scholar
  39. Zhang X, Zwiers FW, Li G (2004) Monte Carlo experiments on the detection of trends in extreme values. J Clim 17:1945–1952CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  1. 1.Meteorological and Hydrological ServiceZagrebCroatia
  2. 2.Department of Geophysics, Faculty of ScienceUniversity of ZagrebZagrebCroatia

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