01513nam a2200253 a 450000100080000000500110000800800410001902000220006010000170008224501230009926001160022230000160033850000130035452007000036765000190106765300250108665300220111165300260113370000200115970000210117970000210120070000180122170000200123919442972020-01-08       2012    bl uuuu     u00u1 u    #d  a978-1-4503-0857-11 aNUNES, S. A.  aTo be or not to be realbfractal analysis of data streams from a regional climate change model.h[electronic resource]  aIn: Annual ACM Symposium on Applied Computing, 27., 2012, 2, Riva del Garda. Proceedings... New York: ACMc2012  ap. 831-832.  aSAC '12.  aABSTRACT: This paper proposes a new analysis process aimed at discriminating the temporal behavior of the data generated by climate models from the real climate observations gathered from ground-based meteorological stations. Our approach combines fractal data analysis and the monitoring of the real and the model-generated data streams to detect deviations considering the intrinsic correlation among climate time series. Experimental studies showed that our approach can discriminate the data either as real or as generated by a model. Those results suggest that there are yet space to improve the climate change models, and that the fractal-based concepts may contribute in this improvement.  aClimate change  aAnálise de fractais  aDados climáticos  aMudanças climáticas1 aAVILA, A. M. H.1 aROMANI, L. A. S.1 aTRAINA, A. J. M.1 aCOLTRI, P. P.1 aSOUSA, E. P. M.