Statistical predictability and spectra of air temperature over the northern hemisphere

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Privalsky, V. E. (2011)

Parametric models and statistical predictability of mean annual air temperature, both at individual stations (MAAT) and zonally averaged (MZAT), are evaluated. The time series have lengths from 125 to 315 years for MAAT and 86 years (1891–1976) for MZAT. The optimal parametric models of MAAT are shown to be closely approximated by a first-order Markov sequence with a small characteristic time scale, so that their statistical predictability is minimal. Variations in MZAT should be described with more complicated models; the limits of statistical predictability amount to between 4 and 5 years. The temperature spectra are estimated, and the relatively high statistical predictability is shown to result from the concentration of spectral energy at low frequencies.DOI: 10.1111/j.1600-0870.1983.tb00184.x
  • References (4)

    Privalsky. V. 1980. Parametric model and optimal prediction of the average salinity of the Azov Sea. Water Resources 7, 321-333. (Published by Consultants Union, N.Y.)

    Smylie, D., Clarke, G. and Ulrich, T. 1973. Analysis of irregularities in the Earth's rotation. Merhods in Computational Physics I3, 39 1-430.

    Ulrich, T. and Bishop, T. 1975. Maximum entropy spectral analysis and autoregressive decomposition. Rev. Geophys. and Space Physics 13. 183-200.

    Vinnikov. K., Gruza, G., Zakharov, V., Kirillov. A.. Kovineva. N.. and Rankova, E. 1980. Current climatic changes in the northern hemisphere. Sovier Meteorology and Hydrologv, No. 6 , 1-10, (Published by Allerton Press Inc., N.Y.)

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