Arid
DOI10.3390/atmos13010048
Santa Ana Winds: Fractal-Based Analysis in a Semi-Arid Zone of Northern Mexico
Serpa-Usta, Yeraldin; Lopez-Lambrano, Alvaro Alberto; Flores, Dora-Luz; Gamez-Balmaceda, Ena; Martinez-Acosta, Luisa; Medrano-Barboza, Juan Pablo; Lopez, John Freddy Remolina; Lopez-Ramos, Alvaro; Lopez-Lambrano, Mariangela
通讯作者Lopez-Lambrano, AA (corresponding author),Univ Autonoma Baja California, Fac Engn Architecture & Design, Ensenada 22860, Baja California, Mexico. ; Lopez-Lambrano, AA (corresponding author),Hidrus SA CV, Ensenada 22760, Baja California, Mexico. ; Lopez-Lambrano, AA (corresponding author),Grp Hidrus SAS, Monteria 230002, Cordoba, Colombia.
来源期刊ATMOSPHERE
EISSN2073-4433
出版年2022
卷号13期号:1
英文摘要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 degrees and 90 degrees). 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.
英文关键词winds intensity and wildfires time scale fractal dimension
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000747792800001
WOS关键词HURST EXPONENT ; SOUTHERN CALIFORNIA ; SCALING PROPERTIES ; RAINFALL SERIES ; TIME-SERIES ; PREDICTABILITY ; VARIABILITY ; PERSISTENCE ; DIMENSION ; INDEX
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/376745
作者单位[Serpa-Usta, Yeraldin; Lopez-Lambrano, Alvaro Alberto; Flores, Dora-Luz] Univ Autonoma Baja California, Fac Engn Architecture & Design, Ensenada 22860, Baja California, Mexico; [Lopez-Lambrano, Alvaro Alberto; Gamez-Balmaceda, Ena] Hidrus SA CV, Ensenada 22760, Baja California, Mexico; [Lopez-Lambrano, Alvaro Alberto; Gamez-Balmaceda, Ena] Grp Hidrus SAS, Monteria 230002, Cordoba, Colombia; [Martinez-Acosta, Luisa; Medrano-Barboza, Juan Pablo; Lopez-Ramos, Alvaro] Univ Pontificia Bolivariana, Fac Civil Engn, GICA Grp, Campus Monteria, Monteria 230002, Cordoba, Colombia; [Lopez, John Freddy Remolina] Univ Pontificia Bolivariana, Fac Elect Engn, ITEM Grp, Campus Monteria, Monteria 230002, Cordoba, Colombia; [Lopez-Lambrano, Mariangela] Univ Norte, Business Sch, Barranquilla 081007, Atlantico, Colombia
推荐引用方式
GB/T 7714
Serpa-Usta, Yeraldin,Lopez-Lambrano, Alvaro Alberto,Flores, Dora-Luz,et al. Santa Ana Winds: Fractal-Based Analysis in a Semi-Arid Zone of Northern Mexico[J],2022,13(1).
APA Serpa-Usta, Yeraldin.,Lopez-Lambrano, Alvaro Alberto.,Flores, Dora-Luz.,Gamez-Balmaceda, Ena.,Martinez-Acosta, Luisa.,...&Lopez-Lambrano, Mariangela.(2022).Santa Ana Winds: Fractal-Based Analysis in a Semi-Arid Zone of Northern Mexico.ATMOSPHERE,13(1).
MLA Serpa-Usta, Yeraldin,et al."Santa Ana Winds: Fractal-Based Analysis in a Semi-Arid Zone of Northern Mexico".ATMOSPHERE 13.1(2022).
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