UPB MONTERÍA - Santa Ana Winds: Multifractal Measures and Singularity Spectrum

Yeraldin Serpa-Usta, Alvaro Alberto López-Lambraño, Carlos Fuentes, Dora Luz Flores, Mario González-Durán, Alvaro López-Ramos

Research output: Contribution to journalArticle in an indexed scientific journalpeer-review


A multifractal analysis based on the time series of temperature, pressure, relative humidity, wind speed, and wind direction was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Our analysis included a 38-year dataset from MERRA-2 database, we investigated the multifractal nature of daily time series data for climatic variables associated with the Santa Ana Winds. We employed the Multifractal Detrended Fluctuation Analysis (MFDFA) method to extract multifractal complexity parameters ((Formula presented.), (Formula presented.), and (Formula presented.)). This was adequate to evaluate the multifractality of the time series that represented the conditions of the phenomenon’s occurrence. From the estimation of the generalized Hurst exponent (hq), it was possible to characterize the time series of the meteorological variables in terms of the characteristics of persistence, anti-persistence, or randomness. Finally, the values corresponding to the parameters and characteristics of the multifractal spectrum or singularities can be used as quantitative and qualitative indicators to describe the dynamics of meteorological processes during the occurrence of the Santa Ana winds in the Guadalupe basin.

Original languageEnglish
Article number1751
Issue number12
StatePublished - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.


  • Santa Ana winds time series
  • asymmetry parameter
  • multifractal analysis
  • multifractality

Types Minciencias

  • Artículos de investigación con calidad A2 / Q2


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