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The scale enhanced wild bootstrap method for evaluating climate models using wavelets

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  • Chatterjee, Snigdhansu

Abstract

A novel resampling-based method is presented for testing if a Physics-based model or reanalysis object successfully emulates climate signals. We establish asymptotic consistency, present simulations and a real-data application to illustrate the performance of the proposed method.

Suggested Citation

  • Chatterjee, Snigdhansu, 2019. "The scale enhanced wild bootstrap method for evaluating climate models using wavelets," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 69-73.
    • Handle: RePEc:eee:stapro:v:144:y:2019:i:c:p:69-73
    DOI: 10.1016/j.spl.2018.07.020
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    References listed on IDEAS

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    1. A. Antoniadis, 1997. "Wavelets in statistics: A review," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 6(2), pages 97-130, August.
    2. Mark A. Hemer & Yalin Fan & Nobuhito Mori & Alvaro Semedo & Xiaolan L. Wang, 2013. "Projected changes in wave climate from a multi-model ensemble," Nature Climate Change, Nature, vol. 3(5), pages 471-476, May.
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    Cited by:

    1. 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.

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