Abstract:El estudio se realizó en la ciudad de Pinar del Río en Cuba durante el período 2006-2010, donde se analizó el comportamiento de la estabilidad atmosférica y altura de la capa de mezcla. Para obtener la categoría de estabilidad atmosférica se utilizó la clasificación de acuerdo a la longitud de Monin-Obukhov. La metodología para calcular la altura la capa de mezcla, estuvo basada en el procedimiento establecido en el preprocesador meteorológico AERMET, con algunas modificaciones por no disponer sondeos de aire … Show more
“…where the parameter on the right is considered surface and can be determined indirectly through meteorological measurements (wind speed, temperature, cloudiness, etc.). Equation that is generally used as the atmosphere's dynamic state indicator (McNaughton, 2009;Rodríguez et al, 2015). The stability function ψ M is determined by L < 0 (unstable), as indicated by Eq.…”
Characterization and knowledge of the variability of atmospheric dynamics on a small scale in the city of Riobamba, Ecuador, are achieved through the chaos theory. Meteorological data is taken every hour during four years, including variables such as wind speed, wind direction, incident radiation, temperature, and humidity, from the ESPOCH, SAN JUAN, and QUIMIAG weather stations in the canton of Riobamba. The van Ulden and Hostlang models are used to calculate the Obukhov length, surface heat fluxes, and latent heat flux. The chaos theory is applied to study the variation of atmospheric microdynamics. The Lyapunov coefficients, Kolmogorov-Sinai entropy, and Kaplan-Yorke fractal dimension are determined. Before analysis, noise reduction is necessary due to the lack of correlation, especially in the Obukhov length. This research follows a longitudinal design and employs quantitative and explanatory methods based on data analysis, statistical-mathematical techniques, and inductive-deductive approaches. The results indicate a highly variable system, reflected in a high number of Lyapunov coefficients, fractional dimensions, and entropy variations. The microdynamic parameters exhibit hyperchaotic behavior, as indicated by the presence of more than one positive Lyapunov coefficient. The variables also demonstrate a fractional fractal dimension, highlighting the irregularity in the geometric representation of the system.
“…where the parameter on the right is considered surface and can be determined indirectly through meteorological measurements (wind speed, temperature, cloudiness, etc.). Equation that is generally used as the atmosphere's dynamic state indicator (McNaughton, 2009;Rodríguez et al, 2015). The stability function ψ M is determined by L < 0 (unstable), as indicated by Eq.…”
Characterization and knowledge of the variability of atmospheric dynamics on a small scale in the city of Riobamba, Ecuador, are achieved through the chaos theory. Meteorological data is taken every hour during four years, including variables such as wind speed, wind direction, incident radiation, temperature, and humidity, from the ESPOCH, SAN JUAN, and QUIMIAG weather stations in the canton of Riobamba. The van Ulden and Hostlang models are used to calculate the Obukhov length, surface heat fluxes, and latent heat flux. The chaos theory is applied to study the variation of atmospheric microdynamics. The Lyapunov coefficients, Kolmogorov-Sinai entropy, and Kaplan-Yorke fractal dimension are determined. Before analysis, noise reduction is necessary due to the lack of correlation, especially in the Obukhov length. This research follows a longitudinal design and employs quantitative and explanatory methods based on data analysis, statistical-mathematical techniques, and inductive-deductive approaches. The results indicate a highly variable system, reflected in a high number of Lyapunov coefficients, fractional dimensions, and entropy variations. The microdynamic parameters exhibit hyperchaotic behavior, as indicated by the presence of more than one positive Lyapunov coefficient. The variables also demonstrate a fractional fractal dimension, highlighting the irregularity in the geometric representation of the system.
“…Previous studies in Oklahoma City, United States, and different regions of Cuba show that the AERMET model produces reliable results for these parameters during the diurnal period (Simpson et al ., 2007; Turtos Carbonell et al ., 2013; Rodríguez Valdés et al ., 2015).…”
The objective was to analyze how representative tropospheric NO 2 column densities are of surface NO 2 measurements under different atmospheric stability conditions in the air basin of two border cities: Calexico, United States, and Mexicali, Mexico. NO 2 columns were measured by the Ozone Monitoring Instrument (OMI) on the NASA Aura satellite. NO 2 concentrations and meteorological parameters were also measured on the surface for comparison. Specifically, the correlations between OMI and surface NO 2 concentrations under different atmospheric stability conditions according to the Pasquill-Gifford (P-G) and Monin-Obukhov (M-O) classification schemes were determined for 2017 and 2018. During the passage of the satellite through the study area (11:00-13:00 UTC−8), unstable conditions were documented in both years.Good correlation was found between the surface NO 2 and OMI NO 2 column observations in the second semester of each year, particularly under unstable conditions as diagnosed by the P-G and M-O schemes applied in the first and second year, respectively. However, a weakening of these conditions occurs during the autumn-winter period. In both cases, the highest determination coefficients were found for Calexico, with values of 0.48 and 0.36 in 2017 and 2018, respectively; for Mexicali, the determination coefficients were 0.23 and 0.35, respectively. Under each atmospheric stability scheme, the mechanical and convective turbulence caused a decreasing trend in wind speed and solar radiation over the course of second semester of 2017 and in friction velocity, temperature, and sensible heat flux over the course of the same period for 2018. The negative trend of these parameters during the analyzed time frames helped to reduce the influence of unstable atmospheric conditions, favoring better correlations between satellite and surface NO 2 measurements. The methodology applied and results obtained herein can enable us to better understand the representativeness of OMI NO 2 data in arid border zones with extreme meteorological conditions.
Resumo La estabilidad atmosférica en la capa superficial, influye en muchos de los procesos dinámicos que se dan en la atmósfera, afectan los fenómenos de difusión y transporte de energía y materia, razón por lo que se ha estudiado ampliamente en latitudes medias; sin embargo, existen muy pocos trabajos en condiciones típicas del altiplano ecuatoriano (latitud cero y altura media respecto al nivel del mar de alrededor de 2500 m). En el presente trabajo se desarrolla un estudio de la variación de la estabilidad atmosférica en dichas condiciones, usado datos de la estación meteorológica de la Universidad Nacional de Chimborazo del año 2015. Los resultados obtenidos en este estudio muestran un predominio del estado muy estable durante la noche y entre muy inestable e inestable durante el día según la clasificación de Pasquill, con un comportamiento medio mensual regular a lo largo del año.
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