<?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>S2664-08802023000200009</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Evaluación del pronóstico cuantitativo de la precipitación del SisPI2.0]]></article-title>
<article-title xml:lang="en"><![CDATA[Evaluation of the quantitative precipitation forecast of the SisPI2.0]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cruz Torres]]></surname>
<given-names><![CDATA[Iliana]]></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-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Meteorología  ]]></institution>
<addr-line><![CDATA[Regla La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2664-08802023000200009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2664-08802023000200009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2664-08802023000200009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  El Sistema de Pronóstico Inmediato, más conocido como SisPI, ofrece datos de viento, temperatura, precipitación, radiación solar y otras variables meteorológicas a muy corto plazo. La primera versión del modelo (SisPI1.0) sufrió cambios en su configuración interna: modificación en las parametrizaciones de radiación solar, incorporación de la parametrización de &#8220;shallow convection&#8221; y ampliación del plazo de pronóstico hasta 48 horas. Los cambios dieron lugar a su segunda versión (SisPI2.0), operativa experimentalmente desde septiembre del 2020, en el Instituto de Meteorología (INSMET). El SisPI2.0 debía ser evaluado para conocer los efectos de los cambios realizados, en especial, para conocer su habilidad para pronosticar cuantitativamente la precipitación. Era necesario investigar, además, la calidad de su pronóstico respecto al SisPI1.0, y la habilidad para simular el estado del tiempo con 48 horas de antelación. El estudio realiza la verificación espacial del pronóstico del SisPI2.0 a partir de las observaciones del GPM, y la selección de cuatro casos de estudio del período lluvioso de 2021. Se empleó el MODE como método de evaluación. El pronóstico de la precipitación de SisPI2.0 resultó ser más efectivo en la identificación de objetos que el de SisPI1.0, pero cuantitativamente cometen similares errores, además el SisPI2.0 sugiere tener buena habilidad para pronosticar la precipitación con un plazo de hasta 48 horas de antelación.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The Short-range prediction system, better known as SisPI, offers very short-term data on wind, temperature, precipitation, solar radiation and other meteorological variables. The first version of the model (SisPI1.0) underwent changes in its internal configuration: modification in the solar radiation parameters, incorporation of the &#8220;shallow convection&#8221; parameterization and extension of the forecast period up to 48 hours. The changes made room for its second version (SisPI2.0), experimentally operational since September 2020, at the Institute of Meteorology (INSMET). The SisPI2.0 had to be evaluated in order to know the effects of the change made, especially, you needed to know its ability to quantitatively forecast precipitation. It will also, be necessary to know the quality of its forecast with respect to SisPI1.0, and the ability to simulate the weather 48 hours in advance. The study performs the spatial verification of the SisPI2.0 forecast based on the GPM observations, and the selection of four study cases of the rainy season of 2021. The MODE was used as an evaluation method. SisPI2.0 precipitation forecast turned out to be more effective in object identification than SisPI1.0, but quantitatively they make similar errors, in addition SisPI2.0 suggests to have good ability to forecast precipitation with a period of up to 48 hours in advance.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[evaluación]]></kwd>
<kwd lng="es"><![CDATA[precipitación]]></kwd>
<kwd lng="es"><![CDATA[pronóstico cuantitativo]]></kwd>
<kwd lng="es"><![CDATA[Sistema de Pronóstico Inmediato]]></kwd>
<kwd lng="en"><![CDATA[evaluation]]></kwd>
<kwd lng="en"><![CDATA[precipitation]]></kwd>
<kwd lng="en"><![CDATA[quantitative forecast]]></kwd>
<kwd lng="en"><![CDATA[Short-range prediction system]]></kwd>
</kwd-group>
</article-meta>
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