An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models

Francesco Battaglia () and Mattheos Protopapas

Statistical Methods & Applications, 2012, vol. 21, issue 3, 315-334

Abstract: The annual temperatures recorded for the last two centuries in fifteen european stations around the Alps are analyzed. They show a global warming whose growth rate is not however constant in time. An analysis based on linear Arima models does not provide accurate results. Thus, we propose threshold nonlinear nonstationary models based on several regimes both in time and in levels. Such models fit all series satisfactorily, allow a closer description of the temperature changes evolution, and help to discover the essential differences in the behavior of the different stations. Copyright Springer-Verlag 2012

Keywords: Climate change; Feedback; Regime change; Threshold model (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s10260-012-0200-9

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