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

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3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)69-73
Number of pages5
JournalStatistics and Probability Letters
Volume144
DOIs
StatePublished - Jan 2019

Bibliographical note

Funding Information:
This research is partially supported by the National Science Foundation (NSF) under grants # DMS-1622483 , # DMS-1737918 , and by the National Aeronautics and Space Administration (NASA) . We would like to thank the anonymous reviewers, and additionally Dr. Amy Braverman, Dr. Noel Cressie and Dr. Megan Heyman for several extremely helpful comments.

Publisher Copyright:
© 2018 Elsevier B.V.

Keywords

  • Climate model
  • Indian monsoon
  • Martingale
  • Reanalysis
  • Wavelet
  • Wild scale enhanced bootstrap

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