Air Quality, Atmosphere & Health

, Volume 4, Issue 2, pp 111–120 | Cite as

Prediction of ozone concentrations using atmospheric variables

  • Katerina G. TsakiriEmail author
  • Igor G. Zurbenko


This paper presents techniques for the prediction of ozone concentrations in Albany, New York. A methodology is described for the decomposition of the time series of ozone and other atmospheric variables into long-term, seasonal, and short-term variations. Solar radiation appears to be the main atmospheric factor for the explanation of the long-term component of ozone time series. The vector autoregressive model and the Kalman filter are used for the prediction of the short-term ozone component. The coefficient of determination, R 2, for the prediction of the short-term component of ozone was found to be the highest when we consider the short-term component of the time series for solar radiation and temperature.


Ozone Solar radiation Prediction Kalman filter KZ filter 


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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsState University of New York at AlbanyAlbanyUSA
  2. 2.Department of Biometry and StatisticsState University of New York at AlbanyRensselaerUSA

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