<?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>S0187-62362022000100039</article-id>
<article-id pub-id-type="doi">10.20937/atm.52783</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Spatio-temporal analysis of remotely sensed rainfall datasets retrieved for the transboundary basin of the Madeira River in Amazonia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Souza]]></surname>
<given-names><![CDATA[Vinicius Alexandre Sikora de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreira]]></surname>
<given-names><![CDATA[Daniel Medeiros]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rotunno Filho]]></surname>
<given-names><![CDATA[Otto Corrêa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rudke]]></surname>
<given-names><![CDATA[Anderson Paulo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Andrade]]></surname>
<given-names><![CDATA[Claudia Daza]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Araujo]]></surname>
<given-names><![CDATA[Lígia Maria Nascimento de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Federal University of Rio de Janeiro (UFRJ) Alberto Luiz Coimbra Institute for Postgraduate Studies and Research in Engineering (COPPE) ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Companhia de Pesquisa de Recursos Minerais (CPRM) Department of Hydrology Geological Survey of Brazil]]></institution>
<addr-line><![CDATA[Rio de Janeiro ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Federal University of Minas Gerais  ]]></institution>
<addr-line><![CDATA[Belo Horizonte ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Federal Rural University of Rio de Janeiro  ]]></institution>
<addr-line><![CDATA[Seropédica ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Brazilian National Water Agency  ]]></institution>
<addr-line><![CDATA[Brasília ]]></addr-line>
<country>Brazil</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>39</fpage>
<lpage>66</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-62362022000100039&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-62362022000100039&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-62362022000100039&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Rainfall is recognized as the most important driving force of the hydrologic cycle. To accurately represent the spatio-temporal rainfall variability continues to be an enormous hydrological task when using commonly sparse, if available, rain gauges networks. Therefore, the present study devoted a special effort to analyze the robustness of some satellite rainfall products, notably the datasets hereafter named as (i) CHIRP (Climate Hazards Group InfraRed Precipitation), (ii) CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data), (iii) 3B42, and (iv) 3B42RT of the Tropical Rainfall Measuring Mission (TRMM), to adequately represent the pluviometric regime in the Madeira river basin. To assess the accuracy of acquired remotely sensed rainfall products, comparisons to observational available rain gauges usually taken as ground-truth in the literature, despite their well-known limitations, were performed. Wavelet analysis was also used to validate the performance of the referred satellite products by means of extracting the corresponding cycles, frequencies, and tendencies along the available time series across the studied basin. The results showed that the data sources CHIRPS and CHIRP better represent the pluviometric phenomenon by means of their monthly accumulated rainfall in the Madeira river basin when compared to the 3B42 and 3B42RT products taking into account rain gauges as baseline information. The CHIRPS product performed the best among the selected rainfall estimators for the Madeira river basin. Further analysis brought up also another very interesting result related to non-rainfall periods, which is usually not reported. However, such evaluation is quite important in hydrology when examining run sequences of droughts and consequent effects in the water balance at the watershed scale. Highly accurate estimates in the sense of identifying non-rainfall periods by remotely sensed information was achieved, which represents an additional and valuable asset of satellite rainfall products. It is worthwhile to say that this perspective deserves to receive much more attention in the literature in order to deeply discuss the water-energy-food nexus.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La precipitación es el factor más importante del ciclo hidrológico. Representar de manera adecuada la variabilidad espacial y temporal de la precipitación continúa siendo una tarea hidrológica abrumadora cuando se utilizan datos (por lo general escasos, cuando no inexistentes) de redes pluviométricas. Por ello, el presente estudio se enfoca al análisis de la solidez de algunos productos satelitales de precipitación, en especial las bases de datos de: i) Precipitación por Infrarrojos del Grupo de Riesgos Climáticos (CHIRP, por sus siglas en inglés), ii) Precipitación por Infrarrojos del Grupo de Riesgos Climáticos con Datos de Estación (CHIRPS), y iii) 3B42 y iv) 3B42RT, ambos de la Misión para la Medición de Lluvias Tropicales (TRMM), con el fin de representar de forma adecuada el régimen de precipitación de la cuenca del río Madeira. Para valorar la precisión de los productos de precipitación adquiridos por percepción remota, se realizaron comparaciones entre éstos y los datos pluviométricos observacionales disponibles, que por lo general se consideran en la literatura como verdaderos a pesar de sus bien conocidas limitaciones. Se utilizó análisis de ondeletas para validar el desempeño de los productos satelitales mencionados mediante la extracción de los ciclos, frecuencias y tendencias correspondientes de las series de tiempo disponibles en la cuenca en estudio. Los resultados muestran que las bases de datos CHIRPS y CHIRP representan de forma más adecuada el fenómeno pluviométrico en la cuenca del río Madeira mediante sus datos de precipitación acumulada mensual, en comparación con los productos 3B42 y 3B42RT, tomando en cuenta como línea de base la información de pluviómetros. CHIRPS tuvo el mejor desempeño entre los estimadores seleccionados para estudiar la cuenca del río Madeira. Análisis subsiguientes mostraron también otro resultado muy interesante relacionado con periodos sin lluvia, lo cual generalmente no se reporta, a pesar de que dicha evaluación es bastante importante en hidrología cuando se analizan corridas de sequía y sus efectos en el balance hídrico a nivel de cuenca. Se obtuvieron estimaciones de gran precisión para identificar periodos sin lluvia con datos adquiridos mediante percepción remota, lo cual constituye un recurso adicional de gran valor de los productos satelitales de precipitación. Vale la pena destacar que esta perspectiva merece recibir mucha más atención en la literatura con el objeto de analizar a fondo la relación agua-energía-alimentos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[satellite rainfall products]]></kwd>
<kwd lng="en"><![CDATA[floods and droughts]]></kwd>
<kwd lng="en"><![CDATA[Amazon basin]]></kwd>
</kwd-group>
</article-meta>
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