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Earth System Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 1
Earth Syst. Dynam., 6, 389–397, 2015
https://doi.org/10.5194/esd-6-389-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Dynam., 6, 389–397, 2015
https://doi.org/10.5194/esd-6-389-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 24 Jun 2015

Research article | 24 Jun 2015

On studying relations between time series in climatology

V. Privalsky
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Manuscript not accepted for further review
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Cited articles  
Bendat, J. and Piersol A.: Measurement and Analysis of Random Data, Wiley, New York, 1966.
Bendat, J. and Piersol, A.: Random Data, Analysis and Measurements Procedures, 2nd Edn., Wiley, New York, 1986.
Bendat, J. and Piersol, A.: Random Data, Analysis and Measurements Procedures, 4th Edn., Wiley, Hoboken, 2010.
Box, G. and Jenkins, G.: Time Series Analysis, Forecasting and Control, Holden-Day, San Francisco, 1970.
Box, G., Jenkins, G., and Reinsel, G.: Time Series Analysis, Forecasting and Control, 4th Edn., John Wiley and Sons, Hoboken, NJ, 2008.
Publications Copernicus
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Short summary
Connections between time series should be studied with methods developed in time series analysis rather than with cross-correlation coefficients and regression equations. The approach includes time series modeling in both time and frequency domains. Two climatic time series with zero cross correlation are shown to be closely connected at timescales from 2.5 to 10 years and a full time- and frequency-domain description of the system is given for this teleconnection in a climate system.
Connections between time series should be studied with methods developed in time series analysis...
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