Fil: Melchor, Iván. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Fil: Almendros, Javier. Instituto Andaluz de Geofísica, Universidad de Granada. Granada, Spain.Fil: Carniel, Roberto. Dipartimento Politecnico di Ingegneria e Architettura, Università degli Studi di Udine. Udine, Friuli, Italy.Fil: Konstantinou, Kostas. Department of Earth Sciences, National Central University. Jhongli, Taiwan.Fil: Hantusch, Marcia. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Fil: Caselli, Alberto. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro, Argentina.Improving the ability to detect and characterize long-duration volcanic tremor is crucial to understand the longterm dynamics and unrest of volcanic systems. We have applied data reduction methods (permutation entropy and polarization degree, among others) to characterize the seismic wave feld near Copahue volcano (Southern Andes) between June 2012 and January 2013, when phreatomagmatic episodes occurred. During the selected period, a total of 52 long-duration events with energy above the background occurred. Among them, 32 were classifed as volcanic tremors and the remaining as noise bursts. Characterizing each event by averaging its reduced parameters, allowed us to study the range of variability of the diferent events types. We found that, compared to noise burst, tremors have lower permutation entropies and higher dominant polarization degrees. This characterization is a suitable tool for detecting long-duration volcanic tremors in the ambient seismic wave feld, even if the SNR is low.true-