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Robert X. Black and Brent A. McDaniel

warming event in September). Our analysis makes no a priori assumptions regarding the structural evolution of the organized response as the data are not projected upon predetermined modes of variability (such as the SAM). In fact, the distinctions between SFW-associated variability and SAM structures represent a key result of the paper. 2. Data and methods The basic input data for our study are the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) daily average

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D. G. Dritschel and M. E. McIntyre

–turbulence interplay within that limitation but again recognizing the insight furnished by the Taylor identity. The scale separation facilitated the inclusion of cases with nontrivial zonal as well as meridional structure. A typical feature of PV mixing scenarios like that of Fig. 1 is, however, the strong inhomogeneity of the mixing, which precludes scale separation (e.g., McIntyre and Palmer 1983 ; Juckes and McIntyre 1987 ; Riese et al. 2002 ). Today’s remote sensing techniques have made this inhomogeneity

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