Keywords
minimum temperature
linear regression
power-spectrum density
How to Cite
Abstract
Time series of daily maximum and minimum temperatures, of at least 30 years long, from 23 weather stations in the ‘Comarca Lagunera’ (Lagoon region) and nearby areas were analyzed using simple linear regression and power-spectrum density techniques for significant trends and frequencies. Time series from 15 of the 23 stations showed significant (P≤0.05) trends for both temperatures. The trend average for maximum temperature was -0.22 0C per decade, as 15 of 23 series showed downward trends, 13 significantly. The trend average for minimum temperature was -0.085 0C per decade, since 13 of 23 series showed negative trends, 11 significantly. Long-term variation was predominant becau¬se the fractal dimension averages were 1.46 and 1.47 for maximum and minimum temperature, res¬pectively. Most series showed quasi-biennial, quasi-three-year and quasi-four-year frequencies. Five stations showed 10- to 11-year frequencies for both minimum and maximum extreme temperatures; one station showed the 20-year frequency for both temperatures.
References
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