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

Snigdhansu Chatterjee

doi:10.1016/j.spl.2018.07.020

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

Snigdhansu Chatterjee

Statistics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

5 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 language	English (US)
Pages (from-to)	69-73
Number of pages	5
Journal	Statistics and Probability Letters
Volume	144
DOIs	https://doi.org/10.1016/j.spl.2018.07.020
State	Published - 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

Access

10.1016/j.spl.2018.07.020

OpenUrl availability

Full text

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 = "Snigdhansu Chatterjee",

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: {\textcopyright} 2018 Elsevier B.V.",

year = "2019",

month = jan,

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, Snigdhansu

N1 - 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.

PY - 2019/1

Y1 - 2019/1

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

SN - 0167-7152

VL - 144

SP - 69

EP - 73

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

ER -

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

Abstract

Bibliographical note

Keywords

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this