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Testing for climate warming in Sweden during 1850-1999, using wavelets analysis

Author

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  • Abdullah Almasri
  • Håkan Locking
  • Ghazi Shukur

Abstract

This paper describes an alternative approach for testing for the existence of trend among time series. The test method has been constructed using wavelet analysis which has the ability of decomposing a time series into low frequencies (trend) and high-frequency (noise) components. Under the normality assumption, the test is distributed as F. However, using generated empirical critical values, the properties of the test statistic have been investigated under different conditions and different types of wavelet. The Harr wavelet has shown to exhibit the highest power among the other wavelet types. The methodology here has been applied to real temperature data in Sweden for the period 1850-1999. The results indicate a significant increasing trend which agrees with the 'global warming' hypothesis during the last 100 years.

Suggested Citation

  • Abdullah Almasri & Håkan Locking & Ghazi Shukur, 2008. "Testing for climate warming in Sweden during 1850-1999, using wavelets analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(4), pages 431-443.
    • Handle: RePEc:taf:japsta:v:35:y:2008:i:4:p:431-443
    DOI: 10.1080/02664760701835011
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    Citations

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    Cited by:

    1. Si-Ya Wang & Jun Qiu & Fang-Fang Li, 2018. "Hybrid Decomposition-Reconfiguration Models for Long-Term Solar Radiation Prediction Only Using Historical Radiation Records," Energies, MDPI, vol. 11(6), pages 1-17, May.
    2. Pratik Pathak & Ajay Kalra & Sajjad Ahmad & Miguel Bernardez, 2016. "Wavelet-Aided Analysis to Estimate Seasonal Variability and Dominant Periodicities in Temperature, Precipitation, and Streamflow in the Midwestern United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4649-4665, October.

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