Climatic Change

, 98:199 | Cite as

Recent trends in temperature and precipitation over the Balearic Islands (Spain)

  • V. Homar
  • C. Ramis
  • R. Romero
  • S. Alonso


Changes in climatic parameters are often given in terms of global averages even though large regional variability is generally observed. The study of regional tendencies provides not only supplementary conclusions to more large-scale oriented results but is also of particular interest to local policy-makers and resource managers to have detailed information regarding sensible and influential climatic parameters. In this study, changes in precipitation for the Balearic Islands (Spain) have been analyzed using data from 18 rain gauges with complete daily time series during the period 1951–2006 and two additional sites where only monthly totals were available. Tendencies for maximum and minimum 2-m temperatures have also been derived using data from three thermometric stations with daily time series for the period 1976–2006. The thermometric stations are located at the head of the runways in the airports of the three major islands of the archipelago, where urbanization has arguably not had a relevant impact on the registered values. The annual mean temperature in the mid-troposphere and lower stratosphere has also been analyzed using the Balearics radiosonde data for the period 1981–2006. Results show there is a negative tendency for annual precipitation (163 mm per century) with 85% significance on the sign of the trend. An abrupt decrease in mean yearly precipitation of 65 mm is objectively detected in the time series around 1980. Additionally, the analysis shows that light and heavy daily precipitation (up to 4 mm and above 64 mm, respectively) increase their contribution to the total annual, while the share from moderate-heavy precipitations (16–32 mm) is decreasing. Regarding the thermometric records, minimum temperatures increased at a rate of 5.8°C per century during the 31 years and maximum temperatures also increased at a rate of 5.0°C per century, both having a level of statistical significance for the sign of the linear trend above 99%. Temperatures in the mid-troposphere decreased at a rate of − 5.4°C per century while a tendency of − 7.8°C per century is found in the lower stratosphere. The level of statistical significance for the sign of both the tropospheric and stratospheric linear trends is above 98% despite the great inter-annual variability of both series.


Ordinary Little Square Diurnal Temperature Range Lower Stratosphere Balearic Island Precipitation Series 
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.


  1. Alexanderson H (1996) A homogeneity test applied to precipitation data. J Climatol 6:661–675Google Scholar
  2. Alpert P, Ben-Gai T, Baharad A, Benjamini Y, Yekutieli D, Colacino M, Diodato L, Ramis C, Homar V, Romero R, Michaelides S, Manes A (2002) The paradoxical increase of Mediterranean extreme daily rainfall in spite of decrease in total values. Geophys Res Lett 29:31.1–31.4CrossRefGoogle Scholar
  3. Atkinson BW (1981) Meso-scale atmospheric circulation. Academic, LondonGoogle Scholar
  4. Barnston AG, Livezey RE (1987) Classification, seasonality and persistence of low frequency atmospheric circulation catterns. Mon Weather Rev 115:1083–1126CrossRefGoogle Scholar
  5. Breusch TS, Pagan AR (1979) A simple test for heteroscedasticity and random coefficient variation. Econometrica 47:1287–1294CrossRefGoogle Scholar
  6. Brohan P, Kennedy JJ, Harris I, Tett SFB, Jones PD (2006) Uncertainty estimates in regional and global observed temperature changes: a new data set from 1850. J Geophys Res 111:D12106, doi: 10.1029/2005JD006548 CrossRefGoogle Scholar
  7. Croux C, Dhaene G, Hoorelbeke D (2003) Robust standard errors for robust estimators. Discussion Papers Series 03.16, K.U. Leuven, CESGoogle Scholar
  8. Easterling D, Horton B, Jones P, Peterson T, Karl T, Parker D, Salinger J, Razuvayev V, Plummer N, Jamason P, Folland C (1997) Maximum and minimum temperatures trends for the globe. Science 277:364–366CrossRefGoogle Scholar
  9. Harnett DL, Soni AK (1991) Statistical methods for business and economics. Addison-Wesley, ReadingGoogle Scholar
  10. Henderson-Sellers A (1992) Continental cloudiness changes this century. GeoJournal 27:255–262CrossRefGoogle Scholar
  11. Huntington TG (2006) Evidence for intensification of the global water cycle: review and synthesis. J Hydrol 319:83–95CrossRefGoogle Scholar
  12. Jung H-S, Choi Y, Oh J-H, Lim G-H (2002) Recent trends in temperature and precipitation over South Korea. Int J Climatol 22:1327–1337CrossRefGoogle Scholar
  13. IPCC (2007) Climate change 2007: the physical science basis. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 996 ppGoogle Scholar
  14. Jennrich RI, Moore RH (1975) Maximum likelihood estimation by means of non-linear least squares. American Statistical Association; Statistical Computing Section. Proceedings 1:57–65Google Scholar
  15. Karl TR, Knight RW (1998) Secular trends of precipitation amount, frequency and intensity in the USA. Bull Am Meteorol Soc 79:231–242CrossRefGoogle Scholar
  16. Maronna R, Martin D, Yohai V (2006) Robust statistics—theory and methods. Wiley, New YorkCrossRefGoogle Scholar
  17. Moberg A, Jones PD (2005) Trends in indices for extremes in daily temperature and precipitation in central and western Europe, 1901–99. Int J Climatol 25:1149–1171CrossRefGoogle Scholar
  18. Oosterbaan RJ (1994) Frequency and regression analysis. In: Ritzema HP (ed) Drainage principles and applications. International Institute for Land Reclamation and Improvement, Wageningen, pp 175–223Google Scholar
  19. Pielke RA Sr, Stohlgren T, Schell L, Parton W, Doesken N, Redmon K, Moeny J, McKee T, Kittel TGF (2002) Problems in evaluating regional and local trends in temperature: an example from eastern Colorado, USA. Int J Climatol 22:421–434CrossRefGoogle Scholar
  20. Ramis C (1995) Las observaciones de aire superior en Mallorca. Revista de Ciencia 17:41–58Google Scholar
  21. Ramis C, Romero R (1995) A first numerical simulation of the development and structure of the sea breeze in the island of Mallorca. Ann Geophys 13:981–994CrossRefGoogle Scholar
  22. Romero R, Sumner G, Ramis C, Genovés A (1999) A classification of the atmospheric circulation patterns producing significant daily rainfall in the Spanish Mediterranean area. Int J Climatol 19:765–785CrossRefGoogle Scholar
  23. Rousseeuw P, Croux C, Todorov V, Ruckstuhl A, Salibian-Barrera M, Verbeke T, Maechler M (2008) Robustbase: basic robust statistics. R package version 0.4-3Google Scholar
  24. Sánchez-Lorenzo A, Sigró J, Calbó J, Martín-Vide J, Brunet M, Aguilar E, Brunetti M (2008) Effects of cloudiness and surface radiation on recent temperatures in Spain (Spanish). In: Sigró J, Brunet M, Aguilar E (eds) Regional climate change and its impacts, Spanish climatology association, series A, vol 6, pp 273–283Google Scholar
  25. Shapiro SS, Wilk MB (1965) An analysis of variance test for normality (complete samples). Biometrika 52:591–611Google Scholar
  26. Von Storch H, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, CambridgeGoogle Scholar
  27. Vose RS, Easterling DR, Gleason B (2005) Maximum and minimum temperature trends for the globe: an update through 2004. Geophys Res Lett 32:L23822CrossRefGoogle Scholar
  28. Yohai VJ (1987) High breakdown-point and high efficiency estimates for regression. Ann Stat 15:642–665CrossRefGoogle Scholar
  29. Zai P, Sun A, Ren F, Liu X, Cao B, Zhang Q (1999) Changes in climate extremes in China. Clim Change 42:203–218CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Group of Meteorology, Departament de FísicaUniversitat de les Illes BalearsPalma de MallorcaSpain

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