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| Evaluating Past Surface Air Temperature Change in Tabriz, Iran Using Hourly-Based Analyzing |
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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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How to cite this article:
M. Gholipoor , 2008. Evaluating Past Surface Air Temperature Change in Tabriz, Iran Using Hourly-Based Analyzing. International Journal of Agricultural Research, 3: 131-139.
DOI: 10.3923/ijar.2008.131.139
URL: https://scialert.net/abstract/?doi=ijar.2008.131.139
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