Nonlinear statistics of daily temperature fluctuations reproduced in a laboratory experiment

Balázs Gyüre, Imre Bartos, I. Jánosi

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

The near-global statistics of daily mean temperature changes reveals a robust asymmetry. Warming steps have significantly higher frequency and lower average magnitude than those of cooling steps for most weather stations. This is a markedly nonlinear feature: Fourier surrogate time series exhibit completely symmetric increment statistics. The obtained geographic distribution of asymmetry parameters suggested an experimental test in a classical rotating tank setup. Temperature measurements in the dynamical regime of geostrophic turbulence reproduce quantitatively the strong asymmetry and spatial dependence of field observations. The statistics might be relevant in other systems of nonequilibrium steady states.

Original languageEnglish
Article number037301
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume76
Issue number3
DOIs
Publication statusPublished - Sep 27 2007

Fingerprint

Asymmetry
asymmetry
statistics
Fluctuations
Statistics
geographic distribution
Experiment
weather stations
Nonequilibrium Steady State
Spatial Dependence
Temperature Measurement
Weather
Increment
temperature
temperature measurement
Cooling
Turbulence
Rotating
Time series
turbulence

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics

Cite this

Nonlinear statistics of daily temperature fluctuations reproduced in a laboratory experiment. / Gyüre, Balázs; Bartos, Imre; Jánosi, I.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 76, No. 3, 037301, 27.09.2007.

Research output: Contribution to journalArticle

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