TY - JOUR
T1 - Santa Ana Winds
T2 - Fractal-Based Analysis in a Semi-Arid Zone of Northern Mexico
AU - Serpa-Usta, Yeraldin
AU - López-Lambraño, Alvaro Alberto
AU - Flores, Dora Luz
AU - Gámez-Balmaceda, Ena
AU - Martínez-Acosta, Luisa
AU - Medrano-Barboza, Juan Pablo
AU - López, John Freddy Remolina
AU - López-Ramos, Alvaro
AU - López-Lambraño, Mariangela
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/12/28
Y1 - 2021/12/28
N2 - A fractal analysis based on the time series of precipitation, temperature, pressure, relative humidity, and wind speed was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Days on which the phenomenon known as Santa Ana winds occurs were identified based on the corresponding criteria of wind speed (≥4.5 m/s) and wind direction (between 0◦ and 90◦). Subsequently, the time series was formed with data representing the days on which this phenomenon occurs in each of the analyzed weather stations. A time series was additionally formed from the days in which the Santa Ana winds condition does not occur. Hurst exponents and fractal dimension were estimated applying the rescaled range method to characterize the established time series in terms of characteristics of persistence, anti-persistence, or randomness along with the calculation of the climate predictability Index. This enabled the behavior and correlation analysis of the meteorological variables associated with Santa Ana winds occurrence. Finally, this type of research study is instrumental in understanding the regional dynamics of the climate in the basin, and allows us to establish a basis for developing models that can forecast the days of occurrence of the Santa Ana winds, in such a way that actions or measures can be taken to mitigate the negative consequences generated when said phenomenon occurs, such as fires and droughts.
AB - A fractal analysis based on the time series of precipitation, temperature, pressure, relative humidity, and wind speed was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Days on which the phenomenon known as Santa Ana winds occurs were identified based on the corresponding criteria of wind speed (≥4.5 m/s) and wind direction (between 0◦ and 90◦). Subsequently, the time series was formed with data representing the days on which this phenomenon occurs in each of the analyzed weather stations. A time series was additionally formed from the days in which the Santa Ana winds condition does not occur. Hurst exponents and fractal dimension were estimated applying the rescaled range method to characterize the established time series in terms of characteristics of persistence, anti-persistence, or randomness along with the calculation of the climate predictability Index. This enabled the behavior and correlation analysis of the meteorological variables associated with Santa Ana winds occurrence. Finally, this type of research study is instrumental in understanding the regional dynamics of the climate in the basin, and allows us to establish a basis for developing models that can forecast the days of occurrence of the Santa Ana winds, in such a way that actions or measures can be taken to mitigate the negative consequences generated when said phenomenon occurs, such as fires and droughts.
KW - Fractal dimension
KW - Time scale
KW - Winds intensity and wildfires
UR - http://www.scopus.com/inward/record.url?scp=85122014396&partnerID=8YFLogxK
U2 - 10.3390/atmos13010048
DO - 10.3390/atmos13010048
M3 - Artículo en revista científica indexada
AN - SCOPUS:85122014396
SN - 2073-4433
VL - 13
SP - 1
EP - 23
JO - Atmosphere
JF - Atmosphere
IS - 1
M1 - 48
ER -