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Association between modes of variability of January Northern Hemisphere snow cover and circulation
Authors:D. J. Walland  I. Simmonds
Affiliation:(1) School of Earth Sciences, University of Melbourne, Parkville, Victoria, Australia;(2) Present address: CRC for Southern Hemisphere Meteorology, Monash University, 3168 Clayton, Victoria, Australia
Abstract:Summary An Empirical Orthogonal Function (EOF) analysis has been applied to NOAA/NESDIS snow concentration data. The major modes of variability in January Northern Hemisphere snow concentration have been extracted and analysed. The analysis was completed separately over Eurasia and North America. Strong, coherent patterns were found for each of the first three EOFs that were analysed over both continents. Over Eurasia the first EOF showed much of Europe as well as western and central Asia in phase but eastern Asia of the opposite phase although the signal was somewhat weaker. North America had a very similar first EOF with a large positive anomaly centered over Montana reaching loadings of over 0.8. East of the Great Lakes, the anomaly changes sign, although again, its magnitude is much smaller.An EOF examination was also made of the anomalous 700 hPa geopotential height fields. These modes of variability were correlated with those of snow cover with the aim of investigating the mechanisms by which the surface boundary snow and the overlying circulation can interact. The stronger correlations were discussed and logical physical scenarios were presented for each. The results indicate that there was no common pattern whereby one medium was always forcing the other but rather a complex array of interactions where each medium could influence the other. To support the physical basis of the relationships being depicted by the EOF study, a case study of January 1981 was made.The presence of intercontinental relationships was also investigated and such relations were strongly suggested. It was proposed that the large scale organisation of the atmosphere between the two continents could go some way to explaining these links in snow variability.With 6 Figures
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