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Abstract:

A new eigentechnique approach, Principal Sequence Pattern Analysis (PSPA), is introduced for the analysis of spatial pattern sequence, as an extension of the traditional Principal Component Analysis set in the T-Mode. In this setting, the variables are sequences of k spatial fields of a given meteorological variable. PSPA is described and applied to a sample of 256 consecutive daily 1000 hPa geopotential height fields. The results of the application of the technique to 5-day sequences demonstrate the advantages of this procedure in identifying field pattern sequences, thereby allowing the determination of the evolution and development of the systems, together with cyclogenesis and anticyclogenesis processes. In order to complete the study, the more traditional Extended Empirical Orthogonal Function (EEOF) analysis, which is the S-mode equivalent of the PSPA, was applied to the same dataset. For EEOF, it was not possible to identify any real sequences that could correspond to the sequences of patterns yielded by the EEOF. Furthermore, the explained variance distribution in the EEOF was significantly different from that obtained with PSPA. Conversely, the PSPA approach allowed for the identification of the sequences corresponding to those sequences observed in the data. Using diagrams of the squares of the component loadings values, as a function of time, the study of the times of occurrence of dominant field characteristics was also possible. In other words, successful determination of periods where the basic flow was dominant and times when strongly perturbed transient events with a significant meridional component occurred, was facilitated by PSPA. © 2001 Royal Meteorological Society.

Registro:

Documento: Artículo
Título:Principal sequence pattern analysis: A new approach to classifying the evolution of atmospheric systems
Autor:Compagnucci, R.H.; Araneo, D.; Canziani, P.O.
Filiación:Departamento de Ciencias de la Atmósfera, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires/CONICET, Argentina
Departamento de Ciencias de la Atmósfera, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina
Laboratorio de Sistema Ecológicos y Ambientales, Facultad de Ciencias Naturales y Museo, Universidad Nacional de la Plata, Argentina
Departamento de Ciencias de la Atmósfera, FCEN-UBA, Ciudad Universitaria, 1428 Capital Federal, Argentina
Palabras clave:Atmospheric circulation; Extended empirical orthogonal function; Principal components analysis; Principal sequence pattern analysis; Synoptic climatology; T-mode approach; atmospheric dynamics; empirical analysis; numerical method; principal component analysis; synoptic meteorology
Año:2001
Volumen:21
Número:2
Página de inicio:197
Página de fin:217
DOI: http://dx.doi.org/10.1002/joc.601
Título revista:International Journal of Climatology
Título revista abreviado:Int. J. Climatol.
ISSN:08998418
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_08998418_v21_n2_p197_Compagnucci.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v21_n2_p197_Compagnucci

Referencias:

  • Barry, R.G., Perry, A.H., (1973) Synoptic Climatology: Methods and Applications, , Methuen: London
  • Bretherton, C.S., Smith, C., Wallace, J.M., An intercomparison of methods for finding coupled patterns in climate data (1992) Journal of Climate, 5, pp. 541-560
  • Buell, C.E., The topography of empirical orthogonal functions (1975) Preprints, Fourth Conference on Probability and Statistics in Atmospheric Science, pp. 188-193. , American Meteorological Society: Tallahassee, FL
  • Buell, C.E., On the physical interpretation of empirical orthogonal functions (1979) Preprints, Sixth Conference on Probability and Statistics in Atmospheric Science, pp. 112-117. , Banff, Alberta. American Meteorological Society: Boston, Massachusetts
  • Cattell, R.B., (1952) Factor Analysis, , Harper and Row: New York, NY
  • Compagnucci, R.H., Vargas, W.M., Patterns of surface pressure field during July 1972-1983 in southern South America and the Antarctic Peninsula (1986) Proceedings of the Third International Conference on Statistical Climatology, pp. 1-14. , Cehak K. (ed.). Australian Society of Meteorology: Vienna
  • Compagnucci, R.H., Salles, M.A., Surface pressure patterns during the year over southern South America (1997) International Journal of Climatology, 17, pp. 635-653
  • Compagnucci, R.H., Ruiz, N.E., On the interpretation of principal component analysis applied to meteorological data (1992) Proceedings of the Fifth International Meeting on Statistical Climatology, pp. 241-244. , Atmospheric Environmental Service of Canada: Toronto
  • Craddock, J.R., Flood, C.R., Eigenvectors for representing the 500 mb geopotential surface over the Northern Hemisphere (1969) Quarterly Journal of the Royal Meteorological Society, 95, pp. 576-593
  • Drosdowsky, W., An analysis of Australian seasonal rainfall anomalies: 1950-1987. I: Spatial patterns (1993) International Journal of Climatology, 13, pp. 1-30
  • Drosdowsky, W., An analysis of Australian seasonal rainfall anomalies: 1950-1987. II: Temporal variability and teleconnection patterns (1993) International Journal of Climatology, 13, pp. 111-149
  • Ehrendorfer, M., A regionalization of Austria's pricipitation climate using principal component analysis (1987) Journal of Climatology, 7, pp. 71-89
  • Green, P.E., (1978) Analyzing Multivariate Data, , The Dryden Press: Hinsdale, Illinois
  • Huth, R., An example of using the obliquely rotated principal components to detect circulation types over Europe (1993) Meteorol. Z., N.F, 2, pp. 285-293
  • Huth, R., An intercomparison of computer-assisted circulation classification methods (1996) International Journal of Climatology, 16, pp. 1-30
  • Kutzbach, J.E., Empirical eigenvectors sea-level pressure, surface temperature and precipitation complexes over North America (1967) Journal of Applied Meteorology, 6, pp. 791-802
  • Lorenz, E.N., Empirical orthogonal functions and statistical weather prediction (1956) Scientific Report 1, Statistical Forecasting Project, , Department of Meteorology, Massachusetts Institute of Technology: Cambridge, Massachusetts
  • Lund, I.A., Map pattern classification by statistical methods (1963) Journal of Applied Meteorology, 2, pp. 56-65
  • North, G.R., Bell, T.L., Cahalan, R.F., Sampling errors in the estimation of empirical orthogonal functions (1982) Monthly Weather Review, 110, pp. 699-706
  • Preisendorfer, R.W., (1988) Principal Component Analysis in Meteorology and Oceanography, , Elsevier: Amsterdam
  • Preisendorfer, R.W., Zwiers, F.W., Barnett, T.P., (1981) Foundations of Principal Component Selection Rules, , Scripps Institute of Oceanography, La Jolla, California. SIO Ref. Series 81-4 (NTIS PB); 83-146613
  • Richman, M.B., Obliquely rotated principal components: An improved meteorological map typing technique? (1981) Journal of Applied Meteorology, 20, pp. 1145-1159
  • Richman, M.B., Specification of complex modes of circulation with T-mode factor analysis (1983) Preprints, Second International Conference on Statistics and Climate, pp. 511-518. , National Institute of Meteorology and Geophysics, Lisbon
  • Richman, M.B., Rotation of principal components (1986) Journal of Climatology, 6, pp. 293-335
  • Richman, M.B., Angel, J.R., Gong, X., Determination of dimensionality in eigenanalysis (1992) Preprints, Fifth International Meeting on Statistical Climatology, pp. 229-235. , Environment Canada, Atmospheric Environment Service, Toronto
  • Richman, M.B., Gong, X., Relationships between the definition of the hyperplane width to the fidelity of principal component loadings patterns (1999) Journal of Climate, 12, pp. 1557-1576
  • Rutan, D., Smith, L., Significance (tests) of EOFs for geophysical fields (1992) Preprints, 12th Conference on Probability and Statistics in the Atmospheric Sciences, pp. 288-293. , Toronto. American Meteorological Society: Boston, Massachusetts
  • Satyamurty, P.C., Nobre, A., Silva Dias, P.L., South America (1998) Meteorology of the Southern Hemisphere, 27, pp. 119-139. , Meteorological Monographs No. 49, Karoly D.J., Vincent D.G. (eds). American Meteorological Society: Boston, Massachusetts
  • Taljaard, J.J., van Loon, H., Crutcher, H.L., Jenne, R.L., (1969) Climate of the Uper Air: Southern Hemisphere, Temperatures, Drew Points, and Heights at Selected Pressure Levels, 1. , NAVAIR 50-1C-55, Chief Naval Operations: Washington DC
  • Tangang, F.T., Tang, B., Monahan, A.D., Hsieh, W.W., Forecasting ENSO events: A neural network-extended EOF approach (1998) Journal of Climate, 11, pp. 29-41
  • Vargas, W.M., Compagnucci, R.H., Methodological aspects of principal component analysis in meteorological fields (1983) Preprints, Second International Conference on Statistical Climatology, pp. 531-539. , National Institute of Meteorology and Geophysics, Lisbon
  • Vargas, W.M., Compagnucci, R.H., Homogeneous subregions according surface pressure variability during July in southern South America and the Antarctic peninsula (1986) Proceedings of the Third International Conference on Statistical Climatology, Vienna, pp. 15-21. , Australian Society of Meteorology
  • Weare, B.C., Nasstrom, J.S., Examples of extended empirical orthogonal function analyses (1982) Monthly Weather Review, 110, pp. 481-485
  • White, D., Richman, M., Yarnal, B., Climate regionalization and rotation of principal components (1991) International Journal of Climatology, 11, pp. 1-25
  • Yarnal, B., (1993) Synoptic Climatology in Environmental Analysis, , Belhaven Press: London

Citas:

---------- APA ----------
Compagnucci, R.H., Araneo, D. & Canziani, P.O. (2001) . Principal sequence pattern analysis: A new approach to classifying the evolution of atmospheric systems. International Journal of Climatology, 21(2), 197-217.
http://dx.doi.org/10.1002/joc.601
---------- CHICAGO ----------
Compagnucci, R.H., Araneo, D., Canziani, P.O. "Principal sequence pattern analysis: A new approach to classifying the evolution of atmospheric systems" . International Journal of Climatology 21, no. 2 (2001) : 197-217.
http://dx.doi.org/10.1002/joc.601
---------- MLA ----------
Compagnucci, R.H., Araneo, D., Canziani, P.O. "Principal sequence pattern analysis: A new approach to classifying the evolution of atmospheric systems" . International Journal of Climatology, vol. 21, no. 2, 2001, pp. 197-217.
http://dx.doi.org/10.1002/joc.601
---------- VANCOUVER ----------
Compagnucci, R.H., Araneo, D., Canziani, P.O. Principal sequence pattern analysis: A new approach to classifying the evolution of atmospheric systems. Int. J. Climatol. 2001;21(2):197-217.
http://dx.doi.org/10.1002/joc.601