<?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>S2664-08802023000100009</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Verificación de pronósticos climáticos en la región Habana, Artemisa y Mayabeque]]></article-title>
<article-title xml:lang="en"><![CDATA[Verification of climate forecasts in the Havana, Artemisa and Mayabeque región]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Larrea Valero]]></surname>
<given-names><![CDATA[Surisbel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez Zamora]]></surname>
<given-names><![CDATA[Yanssel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Inversiones Gamma, S.A. División Ambiental ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Zona Especial de Desarrollo Mariel Oficina Meteorológica ]]></institution>
<addr-line><![CDATA[ Artemisa]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2023</year>
</pub-date>
<volume>29</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2664-08802023000100009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2664-08802023000100009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2664-08802023000100009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Se verifican los pronósticos climáticos de las variables temperatura y precipitación en la región de La Habana, Artemisa y Mayabeque, para el período del 2019-2021. Esta evaluación se realiza para los pronósticos obtenidos a partir del método de los análogos, los proporcionados por la Herramienta de Predicción Climática (CPT) y los pronósticos generales realizados a partir de la vinculación de ambos métodos con los modelos climáticos y el criterio de expertos. Para ello se utilizaron los índices de verificación tasa de aciertos, puntuación de habilidad de aciertos, error lineal en el espacio de probabilidad y el puntaje de rango de probabilidad para los períodos lluviosos y poco lluviosos por separado, así como las diversas localizaciones geográficas de la zona de estudio. Los mejores resultados son obtenidos por la herramienta CPT y los pronósticos generales, con un total de 120 y 115 pronósticos con buenos resultados, respectivamente. La variable que mejor se ajustó a los pronósticos climáticos en esta región fue la temperatura, específicamente en la costa norte del área de estudio, los valores promedios de los índices fueron de 63; 44; 35 y 26, respectivamente, ya que la precipitación presenta mayor variabilidad.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  The climatic forecasts of the temperature and precipitation variables in the Havana, Artemisa and Mayabeque region are verified, for the period 2019-2021. This evaluation is carried out for the forecasts obtained from the analogue method, those provided by the Climate Prediction Tool (CPT) and the general forecasts made from the linking of both methods with climate models and the criteria of experts. For this, the verification indices Hit Rate, Hit Skill Score, Linear Error of Probability Space and Ranked Probability Score were used, and the rainy and dry periods were studied separately, as well as the different geographical locations of the study area. The best results are obtained by the CPT and the general forecasts, with a total of 120 and 115 forecasts with good results, respectively. The variable that best adjusted to the climate forecasts in this region was the temperature, specifically on the north coast of the study area, the average values of the indices were 63; 44; 35 and 26, respectively, since precipitation presents greater variability.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Pronósticos climáticos]]></kwd>
<kwd lng="es"><![CDATA[verificación]]></kwd>
<kwd lng="es"><![CDATA[temperatura]]></kwd>
<kwd lng="es"><![CDATA[precipitación]]></kwd>
<kwd lng="en"><![CDATA[Climate forecasts]]></kwd>
<kwd lng="en"><![CDATA[verification]]></kwd>
<kwd lng="en"><![CDATA[temperature]]></kwd>
<kwd lng="en"><![CDATA[precipitation]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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