<?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>0012-7353</journal-id>
<journal-title><![CDATA[DYNA]]></journal-title>
<abbrev-journal-title><![CDATA[Dyna rev.fac.nac.minas]]></abbrev-journal-title>
<issn>0012-7353</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0012-73532019000400268</article-id>
<article-id pub-id-type="doi">10.15446/dyna.v86n211.80530</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Evaluation of reanalysis data in the study of meteorological and hydrological droughts in the Magdalena-Cauca river basin, Colombia]]></article-title>
<article-title xml:lang="es"><![CDATA[Evaluación de datos de reanálisis en el estudio de sequías meteorológicas e hidrológicas en la macrocuenca Magdalena-Cauca]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vega-Viviescas]]></surname>
<given-names><![CDATA[Carolina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez-S.]]></surname>
<given-names><![CDATA[Erasmo A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Colombia Facultad de Ingeniería Grupo de Investigación en Ingeniería de los Recursos Hídricos (GIREH)]]></institution>
<addr-line><![CDATA[Bogotá D.C ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>86</volume>
<numero>211</numero>
<fpage>268</fpage>
<lpage>277</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0012-73532019000400268&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0012-73532019000400268&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0012-73532019000400268&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Droughts are a natural phenomenon of water deficit and represent one of the most dangerous natural hazards to human activities; accordingly, its understanding and monitoring are vital. For this purpose, long historical series of precipitation and evapotranspiration are considered; however, the sources of this observed information on land are usually limited spatially and temporally. The use of complementary sources of information, such as reanalysis, is appropriate in areas with scarce information. Thus, we have evaluated the use of the reanalysis databases of the eartH2Observe project (WFDEI &amp; MSWEP) in the Magdalena-Cauca river basin in Colombia, through the calculation of three drought indicators (SPI, SPEI &amp; WCI). The indices calculated with the in-situ data identified ten drought events of great affectation in the basin. By applying statistical and a Bootstrap uncertainty analysis, we evaluated the performance of the reanalysis, finding that the use of the MSWEP precipitation product has a good potential for the analysis of droughts in Colombia.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las sequías son eventos naturales de déficit de precipitación que constituyen una de las amenazas naturales más peligrosas para las actividades humanas, por lo que su comprensión y monitoreo son de vital importancia. Para esto, se analizan las series históricas de precipitación y evapotranspiración, sin embargo, las fuentes de esta información medida en tierra suelen ser limitadas espacial y temporalmente. En consecuencia, el uso de fuentes de información complementaria, como los reanálisis, es de gran utilidad en zonas con escasez de información. De acuerdo con lo anterior, se evaluó el uso de las bases de datos del proyecto eartH2Observe (WFDEI y MSWEP) en la macrocuenca Magdalena-Cauca en Colombia, a través del cálculo de tres indicadores de sequías (SPI, SPEI y WCI). Los índices calculados con los datos in-situ identificaron diez eventos de sequía de gran afectación en la cuenca. Finalmente, los reanálisis fueron evaluados con base en coeficientes estadísticos y un análisis de incertidumbre tipo Bootstrap. Se encontró un gran potencial en el uso de la serie de precipitación del MSWEP para el análisis de sequías en Colombia.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Earth2Observe]]></kwd>
<kwd lng="en"><![CDATA[meteorological and hydrological droughts]]></kwd>
<kwd lng="en"><![CDATA[MSWEP]]></kwd>
<kwd lng="en"><![CDATA[SPEI]]></kwd>
<kwd lng="en"><![CDATA[SPI]]></kwd>
<kwd lng="en"><![CDATA[WCI]]></kwd>
<kwd lng="en"><![CDATA[WFDEI]]></kwd>
<kwd lng="es"><![CDATA[Earth2Observe]]></kwd>
<kwd lng="es"><![CDATA[sequías meteorológicas e hidrológicas]]></kwd>
<kwd lng="es"><![CDATA[MSWEP]]></kwd>
<kwd lng="es"><![CDATA[SPEI]]></kwd>
<kwd lng="es"><![CDATA[SPI]]></kwd>
<kwd lng="es"><![CDATA[WCI]]></kwd>
<kwd lng="es"><![CDATA[WFDEI]]></kwd>
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