Persistence and long-term memories of daily maximum and minimum temperatures in southern South America

Theoretical and Applied Climatology

Volumn 105, Issue 3, 2011, Pages 341-355

  Naumann, Gustavo ^a,b   Vargas, Walter M ^a,b   Minetti, Juan L ^a,c  

^a Facultad de Ciencias Naturales e Instituto M Lillo   (Argentina)

^b UNIVERSIDAD DE BUENOS AIRES   (Argentina)

^c UNIVERSIDAD NACIONAL DE TUCUMÁN   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; SPATIOTEMPORAL ANALYSIS; SPRING (SEASON); STOCHASTICITY; TEMPERATURE ANOMALY; WINTER;

PATAGONIA;

EID: 80052741133     PISSN: 0177798X     EISSN: 14344483     Source Type: Journal    
DOI: 10.1007/s00704-010-0395-3     Document Type: Article

References (26)

1. Alessandro P (2003) Blocking action situations in the south of South America during the 1990s. Meteorologica 28: 23-37.
2. Bartos I, Jánosi IM (2003) Nonlinear correlations of daily temperature records over land. Nonlin Processes Geophys 13: 571-576. doi: 10. 5194/npg-13-571-2006.
3. Bayley GF, Hammersley JM (1946) The effective number of independent observations in an autocorrelated time series. J Roy Soc Ser 1B(8): 184-197.
4. Borisova LG, Rudiceva LM (1968) The use of special features of natural synoptic seasons in making monthly weather forecasts. Trudy 12: 12-18.
5. Caballero R, Jewson S, Brix A (2002) Long memory in surface air temperature: detection, modeling, and application to weather derivative valuation. Climate Research 21: 127-140.
6. Carvalho LMV, Jones C, Liebmann B (2004) The South Atlantic convergence zone: intensity, form, persistence, and relationships with intraseasonal to interannual activity and extreme rainfall. J Climate 17: 88-108.
7. Gandin LS (1970) The planning of meteorological station networks. Technical Note No. 111. World Meteorological Organization, Geneva, Switzerland.
8. Hoel P (1976) Introduction to mathematical statistics. Wiley, New York.
9. Király A, Jánosi IM (2002) Stochastic modeling of daily temperature fluctuations. Physical Review E 65: 5. doi: 10. 1103/PhysRevE. 65. 051102.
10. Koscielny-Bunde E, Bunde A, Havlin S, Roman HE, Goldreich Y, Schellnhuber HJ (1998) Indication of a universal persistence law governing atmospheric variability. Phys Rev Lett 81: 729-732.
11. Lamb HH (1972) Climate: present, past and future. Methuen, London, 613 pp.
12. Madden RA, Shea DJ (1978) Estimates of the natural variability of time-averaged temperatures over the United States. Mon Wea Rev 106: 1695-1703.
13. Maraun D, Rust HW, Timmer J (2004) Tempting long-memory on the interpretation of DFA results. Nonlin Processes Geophys 11: 495-503. doi: 10. 5194/npg-11-495-2004.
14. Minetti JL, Sierra EM, Mariotti JA (1985) Dos estadíos térmicos diferenciados para la maduración y crecimiento de la caña de azúcar en el NOA. RIAT 62, No. 1, 1-11. EEAOC. S. M. de Tucumán.
15. Minetti JL (1991) Estudio de las singularidades climáticas en series de temperaturas del Noroeste Argentino. PhD thesis, FCEyN-UBA, 117 pp.
16. Minetti JL, Vargas WM (1997) Interaction processes between the annual wave and the disturbances in series of daily temperature. J Climate 10: 297-305.
17. Naumann G, Vargas WM (2009) Changes in the predictability of the daily thermal structure in southern South America using information theory. Geophys Res Lett 36: L09704. doi: 10. 1029/2009GL037576.
18. Naumann G (2010) Variabilidad intraestacional de alta y baja frecuencia de la temperatura máxima y mínima diaria en Sudamérica. Estudio de la predictabilidad mediante la entropía condicional. PhD thesis, Universidad de Buenos Aires, 229 pp.
19. Pelletier J, Turcotte D (1999) Self-affine time series: II. Applications and models. Adv Geophys 40: 91-166.
20. Shukla J (1981a) Dynamical predictability of monthly means. J Atmos Sci 38: 2547-2572.
21. Shukla J (1981b) Predictability of the tropical atmosphere. NASA Technical Memorandum 83829. Goddard Space Flight Center, Greenbelt, MD.
22. Shukla J (1998) Predictability in the midst of chaos: a scientific basis for climate forecasting. Science 282: 728-731.
23. Schwerdtfeger W (1951) Bases para el pronóstico a medio plazo de las condiciones de temperatura en el otoño de Buenos Aires. Meteoros Año 1, No. 1, 33-45. SMN, Buenos Aires.
24. Trenberth K (1984a) Some effects of finite sample size and persistence on meteorological statistics. Part I: Autocorrelations. Mon Wea Rev 112: 2359-2368.
25. Trenberth K (1984b) Some effects of finite sample size and persistence on meteorological statistics. Part I: Potential predictability. Mon Wea Rev 112: 2369-2379.
26. Wilks DS (2006) Statistical methods in the atmospheric sciences. Academic, San Diego.