<?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>0187-6236</journal-id>
<journal-title><![CDATA[Atmósfera]]></journal-title>
<abbrev-journal-title><![CDATA[Atmósfera]]></abbrev-journal-title>
<issn>0187-6236</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias de la Atmósfera y Cambio Climático]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0187-62362022000100067</article-id>
<article-id pub-id-type="doi">10.20937/atm.52870</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[A new index to assess meteorological drought: The Drought Exceedance Probability Index (DEPI)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Limones]]></surname>
<given-names><![CDATA[Natalia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pita-López]]></surname>
<given-names><![CDATA[María Fernanda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Camarillo]]></surname>
<given-names><![CDATA[Juan Mariano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Sevilla  ]]></institution>
<addr-line><![CDATA[Sevilla ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<volume>35</volume>
<numero>1</numero>
<fpage>67</fpage>
<lpage>88</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-62362022000100067&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-62362022000100067&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-62362022000100067&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT This paper presents a new index to determine meteorological drought conditions, the Drought Exceedance Probability Index (DEPI), derived from monthly precipitation time series. Its formulation is simple and undemanding in terms of baseline information requirements. This makes the DEPI suitable for routine application to any climate, similar to the well-known Standardized Precipitation Index (SPI). The index is based on the calculation of cumulative rainfall anomalies and their subsequent standardization, similarly to other indices. The hallmarks of the DEPI, and its main comparative advantages, are the process of accumulating anomalies and their standardization process. The paper compares the DEPI with the SPI in several different climates across the world and in all cases the results show the complementarity of both indices. The DEPI shows an excellent ability to reflect the actual severity and duration of droughts, without requiring application on different time scales, unlike the SPI. It is also valid for all types of climates, including arid and semiarid or Mediterranean, for which the literature has shown that using the SPI is problematic.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Se presenta un nuevo índice para determinar condiciones meteorológicas de sequía, el Índice de Probabilidades de Exceso de Sequía (IPES), derivado de series mensuales de precipitación. Su formulación es simple y flexible en términos de la información de base requerida, por lo cual es adecuado para su aplicación de rutina en cualquier clima, de manera similar al conocido Índice Estandarizado de Precipitación (IEP). El IPES se basa en el cálculo de anomalías acumulativas de precipitación y su subsiguiente estandarización, de manera similar a otros índices. El sello distintivo del IPES y sus principales ventajas comparativas son el proceso de acumulación de anomalías y su proceso de estandarización. Este trabajo compara el IPES con el IEP en diversos climas del mundo y en todos los casos los resultados muestran la complementariedad de ambos. Se demuestra que el IPES tiene una excelente capacidad para reflejar de forma certera la severidad y duración de las sequías sin necesidad de aplicarse a diferentes escalas de tiempo, a diferencia del IEP. Asimismo, es válido para todo tipo de climas, incluyendo los áridos, semiáridos o mediterráneos, en los cuales se ha demostrado que la aplicación del IEP es problemática.]]></p></abstract>
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<kwd lng="en"><![CDATA[drought]]></kwd>
<kwd lng="en"><![CDATA[drought Index]]></kwd>
<kwd lng="en"><![CDATA[precipitation extremes]]></kwd>
<kwd lng="en"><![CDATA[drought hazard assessment]]></kwd>
<kwd lng="en"><![CDATA[climatology]]></kwd>
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