<?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>2664-0880</journal-id>
<journal-title><![CDATA[Revista Cubana de Meteorología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Cubana Met.]]></abbrev-journal-title>
<issn>2664-0880</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Meteorológica de Cuba]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2664-08802023000400007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sensibilidad del WRF en topoclimas del oriente de Cuba]]></article-title>
<article-title xml:lang="en"><![CDATA[WRF sensitivity in topoclimates of eastern Cuba]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Peña-de la Cruz]]></surname>
<given-names><![CDATA[Arisleidys]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Delgado-Téllez]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sierra-Lorenzo]]></surname>
<given-names><![CDATA[Maibys]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Benzanilla Morlot]]></surname>
<given-names><![CDATA[Arnoldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Savón-Vaciano]]></surname>
<given-names><![CDATA[Yusmira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez-Montoya]]></surname>
<given-names><![CDATA[Loexis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro Meteorológico Provincial  ]]></institution>
<addr-line><![CDATA[ Guantánamo]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,CITMA Centro de Desarrollo de la Montaña ]]></institution>
<addr-line><![CDATA[ Guantánamo]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,INSMET Centro de Física de la Atmósfera ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Minera de San Petersburgo  ]]></institution>
<addr-line><![CDATA[ St Petersburg]]></addr-line>
<country>Rusia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>29</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2664-08802023000400007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2664-08802023000400007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2664-08802023000400007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La investigación se realizó para evaluar el desempeño de parametrizaciones físicas y las condiciones de frontera estática del modelo de predicción e investigación meteorológica, WRF, para el estudio de los topoclimas en la región oriental de Cuba. En tres etapas, se realizaron simulaciones del clima local a corto plazo con combinaciones de parametrizaciones cúmulo, microfísica y de capa límite planetaria. En la tercera etapa se evaluó, además, el aporte al desempeño del modelo de la integración de bases de datos espaciales nacionales de alta resolución como condiciones de frontera estática. Como conjunto de datos de condiciones iniciales y de contorno se utilizó ERA5, con tres dominios anidados a resoluciones espaciales de 30, 10 y 3.33 km. El estudio se realizó para la temperatura y precipitación de los periodos lluvioso y poco lluvioso del año 2018. Los resultados obtenidos mostraron que, de los elementos climáticos en estudio, la precipitación mostró la mayor incertidumbre en todos los experimentos y casos de estudio. Análogamente, las bases de datos espaciales de alta resolución que se integraron al modelo como condiciones de frontera estática, incidió en el desempeño de WRF a escala local. El mejor desempeño del WRF para el estudio de los topoclimas en la región oriental de Cuba se alcanzó con las parametrizaciones de Kain-Fritcsh como cúmulo, la microfísica de Thompson y Yonsei University como opción de capa límite planetaria, activo viento topográfico por el método de corrección por geoformas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The research was carried out to evaluate the performance of physical parameterizations and static boundary conditions of the meteorological prediction and research model, WRF, for the study of topoclimates in the eastern region of Cuba. In three stages, short-term local climate simulations were performed with combinations of cumulus, microphysics, and planetary boundary layer parameterizations. In the third stage, the contribution to model performance of the integration of high-resolution national spatial databases as static boundary conditions was also evaluated. ERA5 was used as the initial and boundary conditions data set, with three nested domains at spatial resolutions of 30, 10 and 3.33 km. The study was carried out for the temperature and precipitation of the rainy and dry periods of 2018. The results obtained showed that, of the climatic elements under study, precipitation showed the greatest uncertainty in all experiments and case studies. Similarly, the high-resolution spatial databases that were integrated into the model as static boundary conditions influenced the performance of WRF at the local scale. The best performance of the WRF for the study of topoclimates in the eastern region of Cuba was achieved with the Kain-Fritcsh parameterizations as a cluster, the microphysics of Thompson and Yonsei University as the planetary boundary layer option, active topographic wind by the method of geoform correction.]]></p></abstract>
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<kwd lng="es"><![CDATA[Topoclima]]></kwd>
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<kwd lng="en"><![CDATA[Topoclima]]></kwd>
<kwd lng="en"><![CDATA[tropical islands]]></kwd>
<kwd lng="en"><![CDATA[local scale]]></kwd>
</kwd-group>
</article-meta>
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