Time Trend in the Mean Annual Temperature of Iran

Many researchers around the world have reported a gradual increase in mean annual temperature. Yet, there are some reports of a reduction in this parameter. In this study, we investigated the long-term trend of mean annual temperature at 34 synoptic stations in Iran (2 stations in cool humid climates, 14 stations in temperate humid climates, 11 stations in steppe climates, and 7 stations in desert climates, based on the Koppen climatic division) with a minimum record of 30 years by Student's t-test. Results showed that there was a positive trend in 50% of the stations, while 41% of stations had a negative trend. Considering the significance level (a = 5%), there were 3 trend zones for mean annual temperature in Iran, i.e. positive trend, negative trend, and zero trend; however, it was difficult to define a specific spatial scheme for such a division. The results were supported by the Mann-Kendall method, while low harmony was found with the Wald-Wolfowitz test. As far as record length is concerned, during a common time period (1968-1998), 65% of the stations showed a positive trend, while 32% of them followed a negative trend. There were some shifts from one trend to another for some of the stations in the study, yet with no well-defined spatial structure. In this case, and at the 5% level of significance, 44%, 15%, and 41% of the stations had a positive trend, a negative trend, and zero trend for the parameter of the study, respectively. In general, the behavior of trend direction was different for different climates and no specific pattern was found. Based on the results, one may hypothesize that in the future more regions will experience higher temperatures. Some stations did not show any significant trend, yet their positive trends may be indicative of future warming. Including the years 1999-2002 in the data verified the results of our trend analysis. All of the stations showed higher average mean annual temperature compared to the average of the period 1968-1998.

Time Trend in the Mean Annual Temperature of Iran

Many researchers around the world have reported a gradual increase in mean annual temperature. Yet, there are some reports of a reduction in this parameter. In this study, we investigated the long-term trend of mean annual temperature at 34 synoptic stations in Iran (2 stations in cool humid climates, 14 stations in temperate humid climates, 11 stations in steppe climates, and 7 stations in desert climates, based on the Koppen climatic division) with a minimum record of 30 years by Student's t-test. Results showed that there was a positive trend in 50% of the stations, while 41% of stations had a negative trend. Considering the significance level (a = 5%), there were 3 trend zones for mean annual temperature in Iran, i.e. positive trend, negative trend, and zero trend; however, it was difficult to define a specific spatial scheme for such a division. The results were supported by the Mann-Kendall method, while low harmony was found with the Wald-Wolfowitz test. As far as record length is concerned, during a common time period (1968-1998), 65% of the stations showed a positive trend, while 32% of them followed a negative trend. There were some shifts from one trend to another for some of the stations in the study, yet with no well-defined spatial structure. In this case, and at the 5% level of significance, 44%, 15%, and 41% of the stations had a positive trend, a negative trend, and zero trend for the parameter of the study, respectively. In general, the behavior of trend direction was different for different climates and no specific pattern was found. Based on the results, one may hypothesize that in the future more regions will experience higher temperatures. Some stations did not show any significant trend, yet their positive trends may be indicative of future warming. Including the years 1999-2002 in the data verified the results of our trend analysis. All of the stations showed higher average mean annual temperature compared to the average of the period 1968-1998.

___

  • Angel, J., 2004. Climate Change and Variability in Illinois. Illinois State Water Survey. URL: http://www.sws.uiuc.edu/atmos/statecli/ Climate_change/cc.htm.
  • Bootsma, A. 1994. Long-term (100 years) climate trends for agriculture at selected locations in Canada. Clim. Change 26: 65- 88.
  • Bobee, B. and F. Ashkar. 1991. The Gamma family and derived distribution applied in hydrology. Water Resources Publications, USA.
  • Box, J.E. 2002. Survey of Greenland and instrumental temperature records: 1873-2001. Int. J. Climatol. 22: 1829-1847.
  • Chattopadhyay, N. and M. Hulme. 1997. Evaporation and potential evapotranspiration in India under conditions of recent and future climate change. Agric. Forest Meteorol. 87: 55-73.
  • Elagib, N.A. and M.G. Mansell. 2000. Climate impacts of environmental degradation in Sudan. GeoJournal 50: 311-327.
  • Greenland, D. and T.G.F. Kitte. 2002. Temporal variability of climate at the US long-term ecological research (LTER) sites. Clim. Res. 19: 213-231.
  • Haan, C.T. 1977. Statistical Methods in Hydrology. The Iowa State Univ. Press, Ames.
  • Hess, T.M. 1998. Trends in reference evapo-transpiration in North East arid zone of Nigeria 1981-91. J. Arid. Envir. 38: 99-115.
  • Hunt, B.G. 1998. Natural climatic variability as an explanation for historical climatic fluctuations. Clim. Change 38: 133-57.
  • Karim-Zadeh, M and B. Ghahraman. 2002. A statistical outlook to gradual increase in Mashhad crop reference evapotranspiration and its consequences. In: Proceedings of the First National Conference on Water Crisis, Vol. 2, Zabol, Iran, pp. 95-108 (in Persian).
  • Karl, T.R., R.W. Knight, D.R. Easterling and R.G. Guayle. 1996. Indices of climate change for the United States. Bull. Am. Meteorol. Soc. 77: 279-292.
  • Lapin M., 1995. Climatological Monitoring of Territory Affected by Construction of the Danube Hydroelectric Power Project and Evaluation of Initial Impact. Gabcyvo Part of the Hydroelectric Power Project - Environmental Impact Review. Faculty of Natural Sciences, Comenius University, Bratislava, 15-22. URL: http://www.mpsr.sk/slovak/dok/gn/book/03kap/03kap.htm.
  • Lettenmaier, D.P., E.F. Wood and J.R. Wallis 1994. Hydro- climatological trends in the continental United States. J. Climatol. 7: 586-607.
  • Menglin, J.R. and E. Dickinson. 2002. New observational evidence for global warming from satellite. Geophys. Res. Let. 29: 39-42.
  • Moonen, A.C., L. Ercoli, M. Mariotti and A. Masoni. 2002. Climate change in Italy indicated by agrometeorological indices over 122 years. Agric. Forest Meteorol. 111: 13-27.
  • Nicholls, N., G.V. Gruza, J. Jouzel, T.R. Karl, L.A. Ogallo and D.E. Parker. 1996. Observed Climate Variability and Change. In: Climate Change 1995: The Science of Climate Change. (Eds.: J.T. Houghton, L.G. Meiro Filho, B.A. Callander, N. Harris, A. Kattenberg and K. Maskell). Cambridge University Press, Cambridge, UK, pp. 133-192. URL: http://cybele.bu.edu/ courses/gg312fall00/chap03/chap03.html#twod.
  • Önöz, B. and M. Bayazit. 2003. The power of statistical tests for trend detection. Turkish J. Eng. Env. Sci. 27: 247-251.
  • Perez, J.F., L. Gimeno, P. Ribera, D. Gallego, R. Garia and E. Hernandez. 2000. Influence of the North Atlantic oscillation on winter equivalent temperature. In: Proceedings of the AGU Chapman Conference of "The North Atlantic Oscillation", University of Vigo (Orense campus), Orense, Galicia, Spain. URL: http://xtide.ldeo.columbia.edu/~visbeck/nao/poster/Perez.pdf.
  • Plummer, N., M.J. Salinger, N. Nicholls, R. Suppiah, K.J. Hennessy, R.M. Leighton, B. Trewin, C.M. Page and J.M. Lough. 1999. Changes in climate extremes over the Australian region and New Zealand during the twentieth century. Clim. Change 42: 183- 202.
  • Salas, J.D. 1992. Analysis and modeling of hydrologic time series, In: Handbook of Hydrology, (Ed. D.R. Maidment), McGraw Hill Book Company, USA, chapter 19.
  • Salas, J.D., J.W. Delleur, V. Yevjevich and W.L. Lane. 1980. Applied modeling of hydrologic time series. Water Resources Publications, Colorado.
  • Santer, B.D., K.E. Taylor and T.M. Wigley. 1996. A search for human influences on the thermal structure of the atmosphere. Nature 382: 39-46.
  • Srivastava, H.N., B.N. Dewan, S.K. Dikshit, G.S. Prakash Rao, S.S. Singh and K.R. Rao. 1992. Decadal trends in climate over India. Mausam 43: 7-20.
  • Tol, R.S.J. 1994. Greenhouse statistics - time series analysis. Theor. and Appl. Climatol. 49: 91-102.
  • Vorosmarty, C.J., P. Green, J. Salisbury and R.B. Lammers. 2000. Global water resource: Vulnerability from climate change and population grow. Bull. Am. Met. Soc. 289: 284-288.
  • Yue, S., P. Pilon and G. Caradias. 2002. Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series. J. Hydrol. 259:254-271.
  • Zhang, X., L.A. Vincent, W.D. Hogg and A. Niitsoo. 2000. Temperature and precipitation trends in Canada during the last century. Atm. Ocean 38: 305-429.