Abstract:
Spatiotemporal behaviors of predictability of climate system were studied. These were analyzed as changes in persistence and system memory using information theory. This study was performed by coupling a cluster analysis algorithm and conditional entropy in southern South America. The spatial analysis of the entropy showed that a meridional gradient exists in the entire region, and its maximum is in the southern region. In this study, the gradients of this property in the northern regions yield predictabilities that are twice those in the southern part of South America. Temporal changes in conditional entropy were observed with quasi-cyclical variations. The low frequency variability estimate in the conditional entropy indicates that the dominant wave is approximately 18 years. The changes observed in the persistence and conditional entropy, especially in groups that representing the warm and cold days, suggest that changes in objective forecasting are necessary. Copyright 2009 by the American Geophysical Union.
Registro:
| Documento: |
Artículo
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| Título: | Changes in the predictability of the daily thermal structure in southern South America using information theory |
| Autor: | Naumann, G.; Vargas, W.M. |
| Filiación: | Department of Atmospheric and Oceanic Sciences, Faculty of Sciences, University of Buenos Aires, Buenos Aires C1428EGA, Argentina
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| Palabras clave: | Climate system; Conditional entropy; Cyclical variation; Low frequency variability; Meridional gradients; Northern regions; South America; Spatial analysis; Spatiotemporal behaviors; System memory; Temporal change; Thermal structure; Cluster analysis; Information theory; Information use; Entropy; climate conditions; diurnal variation; entropy; forecasting method; prediction; thermal structure; South America |
| Año: | 2009
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| Volumen: | 36
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| Número: | 9
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| DOI: |
http://dx.doi.org/10.1029/2009GL037576 |
| Título revista: | Geophysical Research Letters
|
| Título revista abreviado: | Geophys. Res. Lett.
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| ISSN: | 00948276
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| CODEN: | GPRLA
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| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00948276_v36_n9_p_Naumann |
Referencias:
- Balling Jr., R.C., Roy, S.S., A spatial entropy analysis of temperature trends in the United States (2004) Geophys. Res. Lett., 31, pp. L09201. , doi:10.1029/2004GL019630
- DelSole, T., Tippett, M.K., Predictability: Recent insights from information theory (2007) Rev. Geophys., 45, pp. RG4002. , doi:10.1029/2006RG000202
- Ebeling, W., Prediction and entropy of sequences with LRO (1997) Physica D, 109, pp. 42-50
- Ebeling, W., Entropies and predictability of nonlinear processes and time series (2002) Lect. Notes Comput. Sci., 2331, pp. 1209-1217. , Computational Science-ICCS 2002. 2nd International Conference, Amsterdam, the Netherlands, April 21-24, 2002 Proceedings Part 3, edited by P. M. A Sloot et al., Springer, London
- Ebeling, W., Nicolis, G., Word frequency and entropy of symbolic sequences: A dynamical perspective (1992) Chaos, Solitons and Fractals, 2 (6), pp. 635-650. , DOI 10.1016/0960-0779(92)90058-U
- Feistel, R., Ebeling, W., (1989) Evolution of Complex Systems, , Kluwer Acad., Dordrecht, Netherlands
- Gabriel, K.R., Neumann, J., A Markov chain model for daily rainfall occurrence at Tel Aviv (1962) Q. J. R. Meteorol. Soc., 88, pp. 90-95
- Leung, L.Y., North, G.R., Information theory and climate prediction (1990) J. Clim., 3, pp. 5-14
- Minetti, J.L., Vargas, W.M., Trends and jumps in the annual precipitation in South America, south of the 15°S (1998) Atmosfera, 11 (4), pp. 205-221
- Molgedey, L., Ebeling, W., Local order, entropy and predict-ability of financial time series (2000) Eur. Phys. J. B, 15, pp. 733-737
- Nicolis, C., Ebeling, W., Baraldi, C., Markov processes, dynamic entropies and the statistical prediction of mesoscale weather regimes (1997) Tellus, Series A, 49 A (1), pp. 108-118
- Roulston, M.S., Smith, L.A., Evaluating probabilistic forecasts using information theory (2002) Monthly Weather Review, 130 (6), pp. 1653-1660
- Shannon, C.E., A mathematical theory of communication (1948) Bell Syst. Tech. J., 27 (379-423), pp. 623-656
- Shannon, C.E., Prediction and entropy of printed English (1950) Bell Syst. Tech. J., 30, pp. 50-64
- Tang, Y., Kleeman, R., Moore, A.M., Comparison of information-based measures of forecast uncertainty in ensemble ENSO prediction (2008) J. Clim., 21, pp. 230-247
- Vargas, W.M., Naumann, G., Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America (2008) Reg. Environ. Change, 8 (2), pp. 45-87
- Werner, P.C., Gerstengarbe, F.W., Ebeling, W., Changes in probability of sequences, exit time distribution and dynamical entropy in Potsdam temperature record (1999) Theor. Appl. Climatol, 62, pp. 125-132
Citas:
---------- APA ----------
Naumann, G. & Vargas, W.M.
(2009)
. Changes in the predictability of the daily thermal structure in southern South America using information theory. Geophysical Research Letters, 36(9).
http://dx.doi.org/10.1029/2009GL037576---------- CHICAGO ----------
Naumann, G., Vargas, W.M.
"Changes in the predictability of the daily thermal structure in southern South America using information theory"
. Geophysical Research Letters 36, no. 9
(2009).
http://dx.doi.org/10.1029/2009GL037576---------- MLA ----------
Naumann, G., Vargas, W.M.
"Changes in the predictability of the daily thermal structure in southern South America using information theory"
. Geophysical Research Letters, vol. 36, no. 9, 2009.
http://dx.doi.org/10.1029/2009GL037576---------- VANCOUVER ----------
Naumann, G., Vargas, W.M. Changes in the predictability of the daily thermal structure in southern South America using information theory. Geophys. Res. Lett. 2009;36(9).
http://dx.doi.org/10.1029/2009GL037576
