Multiscale evaluation of CMIP5 models using wavelet-based descriptive and diagnostic techniques

Abstract Time–frequency localization of model-data discrepancies may provide useful information for climate models inter-comparison, and especially the goals model refinement improvement. CMIP5 long-term historical (1850–2005) run experiment are compared using wavelet-based multiscale descriptive diagnostic techniques with interesting results. Wavelet coherence maps can visualize ability alternative CMPI5 to capture observed variability at different time scales, while performance each is assessed goodness fit relative measures on a scale-by-scale basis. Finally, plots wavelet decompositions temperature series scales detect locate model/data disagreements across frequencies over time, thus providing researchers