Can principal component analysis provide atmospheric circulation or teleconnection patterns?

被引:89
|
作者
Compagnucci, Rosa H. [1 ]
Richman, Michael B. [2 ,3 ]
机构
[1] Univ Buenos Aires, CONICET, Dept Ciencias Atmosfera & Los Oceanos, RA-1428 Buenos Aires, DF, Argentina
[2] Univ Oklahoma, Sch Meteorol, Norman, OK 73072 USA
[3] Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73072 USA
关键词
principal component analysis; T-Mode; S-Mode; atmospheric circulation; teleconnections; regionalization; circulation patterns; circulation change;
D O I
10.1002/joc.1574
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This investigation examines principal component (PC) methodology and the interpretation of the displays, such as eigenvalue magnitude, loadings and scores, which the methodology provides. The key question posed is, to what extent can S- and T-mode decompositions of a dispersion matrix yield the kinds of interpretations placed on them typically? In particular, a series of experiments are designed based on various amalgamations of three distinct synoptic flow patterns. Since these flow patterns are known, a priori, this allows testing via subtle alterations of the methodology to determine whether there is equivalence between the S- and T-mode decompositions, the degree to which the flow patterns or teleconnections can be recovered by each mode, and the interpretation of each mode. The findings are examined in two contexts: how well they classify the flow patterns, and how well they provide meaningful teleconnections. Both correlation and covariance dispersion matrices are used to determine differences that arise from the standardization. Additionally, unrotated and rotated results are included. By examining a variety of commonly applied methodologies, the results hold for a wider range of studies. Key findings are that eigenvalue degeneracy can influence one mode (but not the other) or both modes for any set of flow patterns resulting in pattern intermixing at times. Similarly, such degeneracy is found in one or both dispersion matrices. Congruence coefficients are used to provide a measure of validity by matching the PC loadings to the parent correlations and covariances. This matching is vital as the loadinas exhibit dipoles that have been interpreted historically as physically meaningful, but the present work indicates they may arise purely through the methodology. Overall, we observe that S-mode results can be interpreted as teleconnection patterns and T-mode as flow patterns for well-designed analyses that are meticulously scrutinized for methodological problems. Copyright (c) 2007 Royal Meteorological Society.
引用
收藏
页码:703 / 726
页数:24
相关论文
共 50 条
  • [21] Principal Component and Structural Element Analysis Provide Insights into the Evolutionary Divergence of Conotoxins
    Kikuchi, Akira Kio V.
    Tayo, Lemmuel L.
    BIOLOGY-BASEL, 2023, 12 (01):
  • [22] Bidimensional and Multidimensional Principal Component Analysis in Long Term Atmospheric Monitoring
    Giussani, Barbara
    Roncoroni, Simone
    Recchia, Sandro
    Pozzi, Andrea
    ATMOSPHERE, 2016, 7 (12):
  • [23] Intraseasonal Atmospheric Teleconnection Patterns during the Northern Hemisphere Winter
    Murakami, Takio
    JOURNAL OF CLIMATE, 1988, 1 (02) : 117 - 131
  • [24] Dietary patterns in a nursing team measured by principal component analysis
    Dias Barreiro, Patricia Lima
    Godoi Vasconcelos, Ana Gloria
    Rotenberg, Lucia
    Griep, Rosane Harter
    de Aguiar, Odaleia Barbosa
    REVISTA DA ESCOLA DE ENFERMAGEM DA USP, 2020, 54
  • [25] CATALONIAN PRECIPITATION PATTERNS - PRINCIPAL COMPONENT ANALYSIS AND AUTOMATED REGIONALIZATION
    MILLS, GF
    LANA, X
    SERRA, C
    THEORETICAL AND APPLIED CLIMATOLOGY, 1994, 49 (04) : 201 - 212
  • [26] A PRINCIPAL COMPONENT ANALYSIS OF PRECIPITATION PATTERNS OVER NORTHERN ITALY
    ALESSIO, S
    ANFOSSI, D
    LONGHETTO, A
    WANG, BK
    NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA C-GEOPHYSICS AND SPACE PHYSICS, 1989, 12 (03): : 365 - 390
  • [27] Exploring patterns enriched in a dataset with contrastive principal component analysis
    Abubakar Abid
    Martin J. Zhang
    Vivek K. Bagaria
    James Zou
    Nature Communications, 9
  • [28] Exploring patterns enriched in a dataset with contrastive principal component analysis
    Abid, Abubakar
    Zhang, Martin J.
    Bagaria, Vivek K.
    Zou, James
    NATURE COMMUNICATIONS, 2018, 9
  • [29] Precursory atmospheric teleconnection patterns for strong Siberian High events
    Song, Jian
    Shi, Ning
    Huang, Qilei
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2023, 16 (05)
  • [30] Principal component analysis of the EEG spectrum can provide yes-or-no criteria for demarcation of boundaries between NREM sleep stages
    Putilov, Arcady A.
    SLEEP SCIENCE, 2015, 8 (01) : 16 - 23