HOMER : a homogenization software - methods and applications
Mestre, Olivier ; Domonkos, Peter ; Picard, Franck ; Auer, Ingeborg ; Robin, Stéphane ; Lebarbier, Emilie ; Böhm, Reinhard ; Aguilar, Enric ; Guijarro, Jose ; Vertachnik, Gregor ; Klancar, Matija ; Dubuisson, Brigitte ; Stepanek, Petr
Between 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.
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