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HOMER: a homogenization software – methods and applications
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dc.contributor.authorMestre, Olivieres_ES
dc.contributor.authorDomonkos, Peteres_ES
dc.contributor.authorPicard, Franckes_ES
dc.contributor.authorAuer, Ingeborges_ES
dc.contributor.authorRobin, Stéphanees_ES
dc.contributor.authorLebarbier, Emiliees_ES
dc.contributor.authorBöhm, Reinhardes_ES
dc.contributor.authorAguilar, Enrices_ES
dc.contributor.authorGuijarro, José Antonioes_ES
dc.contributor.authorVertacnik, Gregores_ES
dc.contributor.authorKlancar, Matijaes_ES
dc.contributor.authorDubuisson, Brigittees_ES
dc.contributor.authorStepanek, Petres_ES
dc.identifier.citationIdőjárás. 2013, 117(1), p. 1-158es_ES
dc.description.abstractBetween 2007–2011, the European COST Action ES0601 called HOME project was devoted to evaluate the performance of homogenization methods used in climatology and produce a software that would be a synthesis of the best aspects of some of the most efficient methods. HOMER (HOMogenizaton softwarE in R) is a software for homogenizing essential climate variables at monthly and annual time scales. HOMER has been constructed exploiting the best characteristics of some other state-of-the-art homogenization methods, i.e., PRODIGE, ACMANT, CLIMATOL, and the recently developed joint-segmentation method (cghseg). HOMER is based on the methodology of optimal segmentation with dynamic programing, the application of a network-wide two-factor model both for detection and correction, and some new techniques in the coordination of detection processes from multiannual to monthly scales. HOMER also includes a tool to assess trend biases in urban temperature series (UBRIS). HOMER’s approach to the final homogenization results is iterative. HOMER is an interactive method, that takes advantage of metadata. A practical application of HOMER is presented on temperature series of Wien, Austria and its surroundings.es_ES
dc.publisherHungarian Meteorological Servicees_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectOptimal segmentationes_ES
dc.subjectUrban trend biases_ES
dc.titleHOMER: a homogenization software – methods and applicationses_ES
Colecciones: Artículos científicos 2010-2014

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