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International Journal of Agricultural Research
Year: 2008  |  Volume: 3  |  Issue: 2  |  Page No.: 131 - 139

Evaluating Past Surface Air Temperature Change in Tabriz, Iran Using Hourly-Based Analyzing

M. Gholipoor    

Abstract: Past temperature (T) change has been extensively studied as evaluating increase/decrease in maximum (Tmax) and minimum (Tmin) Ts. This study aimed to evaluate trends of T, using hourly T data and comparing them with trends of Tmax and Tmin. Data set was years 1966-2004, for Tabriz, Iran and contained daily values for Tmax and Tmin. Firstly, hourly Ts were estimated and averaged over month, over growing period of 5 crops and over yearly period. Also, like hourly T, averaged values of Tmax, Tmin and mean T were calculated. Then, simple linear regression model (Y = a+bX) was used to determine rate of change (b) in temperature. Results indicated that among months for which warming was significant, Jan and July tended to have warming only for 20 to 8 h am and 23 to 5 h am, respectively; Feb and Oct with faster warming rate at daytime h had highest warming rate for 13-15 h and 12-16 h, respectively; the difference for lowest warming rate was also sensible; despite of these two months, June and September with more prominent warming at daytime hours showed no difference for time of occurrence of highest and for that of lowest warming rate; in August, the negligibly faster warming was related to 20 to 8 h am. Warming rate was relatively more prominent across nighttime h for growing period of winter wheat, maize and for yearly period, but across daytime hours for chickpea and spring barley; for lentil it was negligible. Comparing these results with trends of Tmax and Tmin it is revealed that when trends of Tmax and Tmin are asymmetric, as it is most evident across the world, hourly-based analyzing provides more detailed information and increased insights; such information could be more useful for selecting appropriate climate-change-related managing/breeding programs for plants.

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