<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0016-7169</journal-id>
<journal-title><![CDATA[Geofísica internacional]]></journal-title>
<abbrev-journal-title><![CDATA[Geofís. Intl]]></abbrev-journal-title>
<issn>0016-7169</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Geofísica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0016-71692021000400333</article-id>
<article-id pub-id-type="doi">10.22201/igeof.00167169p.2021.60.4.2124</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Seismic signatures of atmospheric disturbances as a tool for reconstruction of their dynamics]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zobin]]></surname>
<given-names><![CDATA[Vyacheslav M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Colima Centro Universitario de Estudios Vulcanológicos ]]></institution>
<addr-line><![CDATA[Colima ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>60</volume>
<numero>4</numero>
<fpage>333</fpage>
<lpage>356</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0016-71692021000400333&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0016-71692021000400333&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0016-71692021000400333&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The wind and products of snowfalls and rainfalls touching the ground generate seismic signals. During decades, the study of seismic signatures of atmospheric disturbances, cyclones, was based on analysis of the ambient seismic noise in the low-frequency range allowing the identification of cyclones and location of the storm position. The methodology monitoring the atmospheric events using short-period seismic signals recorded by a sensor installed at an altitude of about 4 km above sea level at the summit of dormant volcano Nevado de Colima is proposed. The methodology includes the identification of the seismic signatures of atmospheric disturbances on the daily helicorder displays of seismic signals with following analysis of waveforms, produced by the impact of rainfalls and snowfalls with the ground surface, and their Fourier spectral characteristics. Then, the reconstruction of the tracks of the atmospheric events, based on the power spectral densities of the one-hour seismic records, is performed mutually with the satellite observations. The methodology was applied to study the tracks of hurricane Dora and its preceding tropical storm (June 2017) and the cold front system number 25 (January 2018). There were indicated the periods of actions of tropical storm, hurricane, and two stages of the cold front on the helicorder images. Then the characteristic waveforms for each period were selected. Analysis of the spectral characteristics of these waveforms demonstrated that the rainfalls, occurring during the tropical storm, hurricane and the initial stage of the cold front tracks, generated the seismic signals within the frequency range between 1.0-1.8 Hz while the snowfall during the second stage of the cold front tracks generated the seismic signals within the frequency range between 2.6 and 3.7 Hz. The comparison of the tracks of the atmospheric events and the power spectral densities of the one-hour seismic records allowed to see the comparable intensity of tropical storm and hurricane, and two stages of the cold front. These results demonstrate the possibility to monitor the tracks of atmospheric disturbances in real time or to perform the reconstruction of the dynamics of these events during past time using the short-period seismic signals recorded at the high altitudes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El viento y los productos de las nevadas y lluvias que tocan el suelo generan las señales sísmicas Durante décadas, el estudio de las firmas sísmicas de las perturbaciones atmosféricas, ciclones, se en el análisis del ruido sísmico ambiental en el rango de baja frecuencia que permitió la identifica de ciclones y la ubicación de la posición de la tormenta. Se propone la metodología de monitoreo de los eventos atmosféricos utilizando las señales sísmicas de período corto, registradas por un sensor instalado a una altura de aproximadamente 4 Km. sobre el nivel del mar en la cumbre del volcán inactivo Nevado de Colima. La metodología incluye la indicación de las señales sísmicas d perturbaciones atmosféricas en las pantallas de helicorder de registros sísmicas diarias con el siguiente análisis de las formas de onda, producidas por el impacto de las lluvias y nevadas con la superficie del suelo, y sus características espectrales de Fourier. Luego, la reconstrucción del paso de los eventos atmosféricos, en base a las densidades espectrales de potencia de los registros sísmicos de una h que se realiza mutuamente con las observaciones satelitales. La metodología se aplicó para estudiar el paso del huracán Dora y su tormenta tropical precedente (junio de 2017) y el sistema de fi frío número 25 (enero de 2018). Se indicaron los periodos de acción de tormenta tropical, huracán y dos etapas del frente frío en las imágenes del helicorder. Luego se seleccionaron las formas de onda características para cada período. El análisis de las características espectrales de estas formas de demostró que las lluvias, ocurridas durante la tormenta tropical y el huracán y durante la etapa ir del paso del frente frío, generaron las señales sísmicas dentro del rango de frecuencia entre 1.0-1.8 Hz mientras que las nevadas durante la segunda etapa del paso del frente frío generaron las se sísmicas dentro del rango de frecuencia entre 2.6 y 3.7 Hz. La reconstrucción de la dinámica del de los eventos atmosféricos a partir de las densidades espectrales de potencia de los registros sísmicos de una hora permitió ver la intensidad comparable de tormenta tropical y huracán, y dos et del frente frío. Estos resultados demuestran la posibilidad de monitorear el paso de perturbaciones atmosféricas en tiempo real o realizar la reconstrucción de la dinámica de estos eventos durante el tiempo pasado utilizando las señales sísmicas de período corto registradas en las alturas altas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[seismic signal]]></kwd>
<kwd lng="en"><![CDATA[tropical storm]]></kwd>
<kwd lng="en"><![CDATA[hurricane]]></kwd>
<kwd lng="en"><![CDATA[cold front]]></kwd>
<kwd lng="en"><![CDATA[rainfall and snowfall]]></kwd>
<kwd lng="es"><![CDATA[señal sísmica]]></kwd>
<kwd lng="es"><![CDATA[tormenta tropical]]></kwd>
<kwd lng="es"><![CDATA[huracán]]></kwd>
<kwd lng="es"><![CDATA[frente frío]]></kwd>
<kwd lng="es"><![CDATA[lluvia y nevada]]></kwd>
</kwd-group>
</article-meta>
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