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

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https://www.sciencedirect.com/science/article/pii/S0167715218302645

Permanent Link

https://doi.org/10.1016/j.spl.2018.07.020
 http://hdl.handle.net/11603/42009

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UMBC Mathematics and Statistics Department

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0002-7986-0470

Date

2019-01-01

Type of Work

journal articles
postrpints
Text

Department

Program

Citation of Original Publication

Chatterjee, Snigdhansu. “The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets.” Statistics & Probability Letters, Advances in statistical methods and applications for Climate change and Environment, vol. 144 (January 2019): 69–73. https://doi.org/10.1016/j.spl.2018.07.020.

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

Subjects

Wavelet
Martingale
Wild scale enhanced bootstrap
Climate model
Reanalysis
Indian monsoon

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.