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A systematic wavelet-based exploratory analysis of climatic variables

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  • Marco Gallegati

    (Universita Politecnica delle Marche)

Abstract

Nonstationarity and time scale dependence are essential features of the climate system that may be dealt with simultaneously using wavelet analysis. In this study, we present a systematic analysis of a set of climate system variables, which include both natural and anthropogenic contributions, using wavelet-based exploratory methods. The tools of the continuous wavelet transform, the wavelet spectrum, coherence, and phase offer a comprehensive assessment of the characteristic modes of variability of climate system forcings and of the scale-based relationships of anthropogenic and natural climate variables with global surface temperature. Shorter-term variations in global surface temperature are associated with internally generated natural climate variability and external climate forcings, while longer-term variations are strongly related to human-induced changes only. In this respect, a long-term component of the net radiative forcing of human activities longer than 30 years displays a statistically significant relationship with global warming and cooling periods identified in the climate change literature.

Suggested Citation

  • Marco Gallegati, 2018. "A systematic wavelet-based exploratory analysis of climatic variables," Climatic Change, Springer, vol. 148(1), pages 325-338, May.
    • Handle: RePEc:spr:climat:v:148:y:2018:i:1:d:10.1007_s10584-018-2172-8
    DOI: 10.1007/s10584-018-2172-8
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    References listed on IDEAS

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    1. Ramsey, James B. & Gallegati, Marco & Gallegati, Mauro & Semmler, Willi, 2010. "Instrumental variables and wavelet decompositions," Economic Modelling, Elsevier, vol. 27(6), pages 1498-1513, November.
    2. Aiguo Dai & John C. Fyfe & Shang-Ping Xie & Xingang Dai, 2015. "Decadal modulation of global surface temperature by internal climate variability," Nature Climate Change, Nature, vol. 5(6), pages 555-559, June.
    3. Michael E. Mann & Raymond S. Bradley & Malcolm K. Hughes, 1998. "Global-scale temperature patterns and climate forcing over the past six centuries," Nature, Nature, vol. 392(6678), pages 779-787, April.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Robert K. Kaufmann & David I. Stern, 1997. "Evidence for human influence on climate from hemispheric temperature relations," Nature, Nature, vol. 388(6637), pages 39-44, July.
    6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    7. Francisco Estrada & Pierre Perron & Carlos Gay-García & Benjamín Martínez-López, 2013. "A Time-Series Analysis of the 20th Century Climate Simulations Produced for the IPCC’s Fourth Assessment Report," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    8. Pierre Perron & Francisco Estrada & Carlos Gay-García & Benjamín Martínez-López, 2011. "A time-series analysis of the 20th century climate simulations produced for the IPCC’s AR4," Boston University - Department of Economics - Working Papers Series WP2011-051, Boston University - Department of Economics.
    9. Robert Kaufmann & Heikki Kauppi & Michael Mann & James Stock, 2013. "Does temperature contain a stochastic trend: linking statistical results to physical mechanisms," Climatic Change, Springer, vol. 118(3), pages 729-743, June.
    10. David Stern & Robert Kaufmann, 2014. "Anthropogenic and natural causes of climate change," Climatic Change, Springer, vol. 122(1), pages 257-269, January.
    11. Michael J. Keim & Donald B. Percival, 2015. "Assessing characteristic scales using wavelets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 64(2), pages 377-393, February.
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    Cited by:

    1. Olivier Damette & Stéphane Goutte, 2021. "Weather, Pollution, and Covid-19 Spread: A Time Series and Wavelet Reassessment," Springer Books, in: Fateh Belaïd & Anna Cretì (ed.), Energy Transition, Climate Change, and COVID-19, pages 95-106, Springer.
    2. Ijaz Younis & Cheng Longsheng & Muhammad Farhan Basheer & Ahmed Shafique Joyo, 2020. "Stock market comovements among Asian emerging economies: A wavelet-based approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-23, October.
    3. Marco Gallegati, 2022. "Multiscale evaluation of CMIP5 models using wavelet-based descriptive and diagnostic techniques," Climatic Change, Springer, vol. 170(3), pages 1-16, February.
    4. Maryam Aziz & Muhammad Zeeshan Shaukat & Abdul Aziz Khan Niazi & Abdul Basit & Tehmina Fiaz Qazi, 2023. "Wavelet Analysis of CO2 Emissions’ Co-movement: An Investigation of Lead–lag Effect among Emerging Asian Economies," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(3), pages 36-51.

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