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The surface air temperature daily records at the land-based locations withdifferent climate conditions (from Arctic to Patagonia) have been studied onthe daily to intraseasonal time scales (low frequency annual and seasonalvariations have been removed by subtracting a wavelet regression from the dailyrecords). It is shown that the power spectra of the daily time series exhibit auniversal behaviour corresponding to the Hamiltonian distributed chaos. Globalaverage temperature fluctuations (land-based data) and the tropical Pacific seasurface temperature fluctuations (El Ni\~no/La Ni\~na phenomenon) have beenalso considered in this context. It is shown that the practical smoothpredictability for the surface air temperature dynamics is possible at least upto the fundamental (pumping) period of the distributed chaos.

Chaotic Hamiltonian dynamics of surface air temperature on daily to intraseasonal time scales