Analysis of precipitation in Central Mxico: Trends, self-affinity and important frequencies

International Journal of Physical Sciences

Ricardo D. Valdezndash¹ 

关键词: Linear trends;    fractal dimension;    power spectrum density;    yearly cycle;    quasi–    Biennial cycle;    ENSO;    sunspot cycle.;   

DOI  :  10.5897/IJPS12.421

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

Long–term monthly precipitation series registered at 56 meteorological stations located within Mexico’s state of Zacatecas were analyzed in order to identify their trends. We analyzed the power spectrum signals of precipitation anomaly series in order to identify their important frequencies and its possible connection with periodic phenomena. We found negative linear trends for 28 out of 56 precipitation series and 28 of the 56 were increasing linear trends. Only one of the increasing trends was significant at p<0.05. Noise in 24 out of 56 of the monthly precipitation anomaly series was found to have persistent behavior, anti–persistent behavior was found in 26 out of 56 of the monthly precipitation anomaly series, and random walk noise was found in 6 out of 56 of monthly precipitation anomaly series. Additionally, we found important frequencies that could be related with yearly cycle, quasi-biennial cycle, ‘EL Niño Sothern Oscillation’ phenomena and sunspot cycle.

【 授权许可】

CC BY