<?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>1794-1237</journal-id>
<journal-title><![CDATA[Revista EIA]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.EIA.Esc.Ing.Antioq]]></abbrev-journal-title>
<issn>1794-1237</issn>
<publisher>
<publisher-name><![CDATA[Escuela de ingenieria de Antioquia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1794-12372020000200073</article-id>
<article-id pub-id-type="doi">10.24050/reia.v17i34.1292</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Aplicación de redes neuronales para la reconstrucción de series de tiempo de precipitación y temperatura utilizando información satelital]]></article-title>
<article-title xml:lang="en"><![CDATA[Application of neural networks for the reconstruction of time series of precipitation and temperature using satellite information]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Muñoz-Herrera]]></surname>
<given-names><![CDATA[Wilmer]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernando-Bedoya]]></surname>
<given-names><![CDATA[Oscar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Edilberto-Rincón]]></surname>
<given-names><![CDATA[Mauricio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Valle  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>17</volume>
<numero>34</numero>
<fpage>73</fpage>
<lpage>88</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1794-12372020000200073&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1794-12372020000200073&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1794-12372020000200073&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las técnicas de inteligencia artificial como las redes neuronales artificiales (RNA) permiten resolver una gran variedad de problemas relacionados con diferentes áreas del conocimiento tales como la medicina, la Bioinformática e incluso las telecomunicaciones. En muchos casos, las redes neuronales se utilizan para predecir el comportamiento de una variable con base en datos históricos previos y en un conjunto de variables predictoras. En este artículo se aborda el problema particular de la reconstrucción de información faltante de las estaciones meteorológicas utilizando RNAs. La falta de este tipo de información afecta principalmente los estudios climáticos en los que se utiliza información meteorológica. Estos estudios pueden permitir evitar las amenazas significativas en el desarrollo sustentable de nuestra sociedad, los recursos naturales, especies y la misma vida del ser humano. En este artículo se proponen modelos basados en redes neuronales artificiales e información satelital para el llenado de datos faltantes en las estaciones meteorológicas y reconstrucción espacial de las variables de precipitación y temperatura para la región de Departamento de Valle del Cauca, Colombia. Los resultados obtenidos alcanzan los coeficientes de correlación de alrededor de 0.9, con errores más pronunciados en cerca de 50 mm/mes en precipitación y 2 °C en temperatura.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Artificial intelligence techniques such as artificial neural networks (ANN) allow solving a wide variety of problems related to different areas of knowledge such as medicine, Bioinformatics and even telecommunications. In many cases, neural networks are used to predict the behavior of a variable based on previous historical data and a set of predictor variables. This article deals with the particular problem of the reconstruction of missing information from meteorological stations using ANNs. The lack of this type of information mainly affects climate studies in which meteorological information is used. These studies can make it possible to avoid significant threats to the sustainable development of our society, natural resources, species and the very life of the human being. This article proposes models based on artificial neural networks and satellite information for the filling of missing data in meteorological stations and spatial reconstruction of the variables of precipitation and temperature for the Valle del Cauca, Colombia. The results obtained reach the correlation coefficients of around 0.9, with more pronounced errors in about 50 mm/month in precipitation and 2 °C in temperature.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Redes Neuronales]]></kwd>
<kwd lng="es"><![CDATA[Llenado de Datos Faltantes]]></kwd>
<kwd lng="es"><![CDATA[Sensores Remotos]]></kwd>
<kwd lng="es"><![CDATA[Series de Tiempo]]></kwd>
<kwd lng="en"><![CDATA[Neural Networks]]></kwd>
<kwd lng="en"><![CDATA[Data Filling]]></kwd>
<kwd lng="en"><![CDATA[Remote Sensors]]></kwd>
<kwd lng="en"><![CDATA[Time Series]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Andreadis]]></surname>
<given-names><![CDATA[K. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;The Regional Hydrologic Extremes Assessment System: A soft ware framework for hydrologic modeling and data assimilation&#8217;]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Schumann]]></surname>
<given-names><![CDATA[G. J.-P.]]></given-names>
</name>
</person-group>
<source><![CDATA[PLOS ONE]]></source>
<year>2017</year>
<volume>12</volume>
<numero>5</numero>
<issue>5</issue>
<publisher-name><![CDATA[Public Library of Science]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gleckler]]></surname>
<given-names><![CDATA[P. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Taylor]]></surname>
<given-names><![CDATA[K. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Doutriaux]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Performance metrics for climate models&#8217;]]></article-title>
<source><![CDATA[Journal of Geophysical Research Atmospheres]]></source>
<year>2008</year>
<volume>113</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1-20</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hingray]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ben Haha]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Statistical performances of various deterministic and stochastic models for rainfall series disaggregation&#8217;]]></article-title>
<source><![CDATA[Atmospheric Research]]></source>
<year>2005</year>
<volume>77</volume>
<numero>1-4</numero>
<issue>1-4</issue>
<page-range>152-75</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Homar]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Recent trends in temperature and precipitation over the Balearic Islands (Spain)&#8217;]]></article-title>
<source><![CDATA[Climatic Change]]></source>
<year>2010</year>
<numero>98</numero>
<issue>98</issue>
<page-range>199-211</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jeffrey]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Using spatial interpolation to construct a comprehensive archive of Australian climate data&#8217;,]]></article-title>
<source><![CDATA[Environmental Modeling &amp; Software.]]></source>
<year>2001</year>
<volume>16</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>309-30</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Katsanos]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Retalis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Michaelides]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Validation of a high-resolution precipi tation database (CHIRPS) over Cyprus for a 30-year period&#8217;]]></article-title>
<source><![CDATA[Atmospheric Research]]></source>
<year>2016</year>
<numero>169</numero>
<issue>169</issue>
<page-range>459-64</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kawase]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Intermodel variability of future changes in the Baiu rainband estimated by the pseudo global warming downscaling method&#8217;]]></article-title>
<source><![CDATA[Journal of Geophysical Research]]></source>
<year>2009</year>
<volume>114</volume>
<page-range>D24110</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kolden]]></surname>
<given-names><![CDATA[C. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Weisberg]]></surname>
<given-names><![CDATA[P. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Assessing Accuracy of Manually-mapped Wildfire Perimeters In Topographically Dissected Areas&#8217;]]></article-title>
<source><![CDATA[Fire Ecology]]></source>
<year>2007</year>
<volume>3</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>22-31</page-range><publisher-name><![CDATA[Springer International Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Le]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data&#8217;,]]></article-title>
<source><![CDATA[Water]]></source>
<year>2017</year>
<volume>9</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>114</page-range><publisher-name><![CDATA[Multidisciplinary Digital Publishing Institute]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lenard]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Alam]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Madey]]></surname>
<given-names><![CDATA[G. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;The Application of Neural Networks and a Qualitative Response Model to the Auditor&#8217;s Going Concern Uncertainty Decision&#8217;]]></article-title>
<source><![CDATA[Decision Sciences]]></source>
<year>1995</year>
<volume>26</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>209-27</page-range><publisher-name><![CDATA[Wiley/Blackwell]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Masters]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Practical neural network recipes in C++.]]></source>
<year>1993</year>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nayak]]></surname>
<given-names><![CDATA[P. .]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;A neuro-fuzzy computing technique for modeling hydrological time series&#8217;,]]></article-title>
<source><![CDATA[Journal of Hydrology]]></source>
<year>2004</year>
<volume>291</volume>
<numero>1-2</numero>
<issue>1-2</issue>
<page-range>52-66</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nourani]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Alami]]></surname>
<given-names><![CDATA[M. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Aminfar]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation&#8217;,]]></article-title>
<source><![CDATA[Engineering Applications of Artificial Intelligence]]></source>
<year>2009</year>
<volume>22</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>466-72</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pabón]]></surname>
<given-names><![CDATA[Daniel]]></given-names>
</name>
<name>
<surname><![CDATA[Caicedo]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[Generalidades de la distribución espacial y temporal de la temperatura del aire y de la precipitación en Colombia]]></source>
<year>2001</year>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Peck]]></surname>
<given-names><![CDATA[E. L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;QUALITY OF HYDROMETEOROLOGICAL DATA IN COLD REGIONS&#8217;]]></article-title>
<source><![CDATA[Journal of the American Water Resources Association]]></source>
<year>1997</year>
<volume>33</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>125-34</page-range><publisher-name><![CDATA[John Wiley &amp; Sons, Ltd]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Son]]></surname>
<given-names><![CDATA[N. T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Monitoring agricultural drought in the Lower Mekong Basin us ing MODIS NDVI and land surface temperature data&#8217;]]></article-title>
<source><![CDATA[International Journal of Applied Earth Observation and Geoinformation]]></source>
<year>2012</year>
<numero>18</numero>
<issue>18</issue>
<page-range>417-27</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tachikawa]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8216;CHARACTERISTICS OF ASTER GDEM VERSION 2 1 Earth Remote Sensing Data Analysis Center ( ERSDAC ), 2 Mitsubishi Material Techno Corp . 3 Univer sity of Tokyo&#8217;]]></source>
<year>2011</year>
<conf-name><![CDATA[ Geoscience and Remote Sensing Symposium (IGARSS)]]></conf-name>
<conf-date>2011</conf-date>
<conf-loc> </conf-loc>
<page-range>3657-60</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Teegavarapu]]></surname>
<given-names><![CDATA[R. S. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Chandramouli]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Improved weighting methods, deter ministic and stochastic data-driven models for estimation of missing precipitation records&#8217;]]></article-title>
<source><![CDATA[Journal of Hydrology]]></source>
<year>2005</year>
<volume>312</volume>
<numero>1-4</numero>
<issue>1-4</issue>
<page-range>191-206</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vancutsem]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8216;Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa&#8217;,]]></article-title>
<source><![CDATA[Remote Sensing of Environment]]></source>
<year>2010</year>
<volume>114</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>449-65</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wan]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<source><![CDATA[Collection-6 MODIS Land Surface Temperature Products Users&#8217; Guide]]></source>
<year>2013</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[The use of artificial neural networks in a geographical information system for agricultural land-suitability assessment, Environment and Planning A.]]></source>
<year>1994</year>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
