中南大学学报（英文版）
中南大學學報（英文版）
중남대학학보（영문판）
JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY(ENGLISH EDITION)
2015年
7期
2681-2690
,共10页
陈新保%刘信陶%李松年%Chow Annie
陳新保%劉信陶%李鬆年%Chow Annie
진신보%류신도%리송년%Chow Annie
empirical orthogonal functions%sea-ice concentration%comparative study%patterns%arctic
Change in Arctic sea ice extent is one of the indicators of global climate changes. Spatio-temporal change and change patterns can be identified using various methods to facilitate human understanding global climate changes. Three empirical orthogonal function (EOF) techniques are discussed and applied to decades of sea-ice concentration (SIC) dataset in Arctic area for identifying independent patterns. It was found that: 1) discrepancies exist in magnitude and scope for each EOF pattern, however, the first two leading EOFs of variability possess high similarities in structure and shape; 2) Even though there are somewhat differences in amplitude of each PC mode, the first two leading PC modes maintain consistent in overall trend and periodicity; 3) There are significant discrepancies and inconsistencies in the third and fourth leading EOF and PC modes. The accuracies of three techniques are further validated in representing the physical phenomena of SIC anomaly patterns.
