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

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 1 2019

Fingerprint

Wild Bootstrap
Climate Models
Bootstrap Method
Wavelets
Resampling
Climate
Physics
Testing
Simulation
Bootstrap method
Wild bootstrap
Model
Object

Keywords

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

Cite this

@article{7fa5531976da44c59d543f1d5052a6e2,
title = "The scale enhanced wild bootstrap method for evaluating climate models using wavelets",
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.",
keywords = "Climate model, Indian monsoon, Martingale, Reanalysis, Wavelet, Wild scale enhanced bootstrap",
author = "Chatterjee, {Singdhansu B}",
year = "2019",
month = "1",
day = "1",
doi = "10.1016/j.spl.2018.07.020",
language = "English (US)",
volume = "144",
pages = "69--73",
journal = "Statistics and Probability Letters",
issn = "0167-7152",
publisher = "Elsevier",

}

TY - JOUR

T1 - The scale enhanced wild bootstrap method for evaluating climate models using wavelets

AU - Chatterjee, Singdhansu B

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Climate model

KW - Indian monsoon

KW - Martingale

KW - Reanalysis

KW - Wavelet

KW - Wild scale enhanced bootstrap

UR - http://www.scopus.com/inward/record.url?scp=85053670194&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053670194&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2018.07.020

DO - 10.1016/j.spl.2018.07.020

M3 - Article

AN - SCOPUS:85053670194

VL - 144

SP - 69

EP - 73

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

ER -