IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v144y2019icp69-73.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167715218302645
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.spl.2018.07.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. A. Antoniadis, 1997. "Wavelets in statistics: A review," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 6(2), pages 97-130, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emmanouil Androulakis & Christos Koukouvinos & Kalliopi Mylona & Filia Vonta, 2010. "A real survival analysis application via variable selection methods for Cox's proportional hazards model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1399-1406.
    2. Christophe Chesneau, 2014. "A Note on Wavelet Estimation of the Derivatives of a Regression Function in a Random Design Setting," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2014, pages 1-8, April.
    3. Abhik Ghosh & Magne Thoresen, 2018. "Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 179-210, April.
    4. Christophe Chesneau & Fabien Navarro & Oana Silvia Serea, 2017. "A note on the adaptive estimation of the di?erential entropy by wavelet methods," Working Papers 2017-69, Center for Research in Economics and Statistics.
    5. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    6. Abramovich, Felix & Besbeas, Panagiotis & Sapatinas, Theofanis, 2002. "Empirical Bayes approach to block wavelet function estimation," Computational Statistics & Data Analysis, Elsevier, vol. 39(4), pages 435-451, June.
    7. E. Androulakis & C. Koukouvinos, 2013. "A new variable selection method for uniform designs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2564-2578, December.
    8. Arguilé-Pérez, B. & Ribeiro, A.S. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2023. "Suitability of wave energy converters in northwestern Spain under the near future winter wave climate," Energy, Elsevier, vol. 278(PB).
    9. Vidakovic, Brani, 2004. "Transforms in Statistics," Papers 2004,26, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    10. Canhong Wen & Xueqin Wang & Shaoli Wang, 2015. "Laplace Error Penalty-based Variable Selection in High Dimension," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(3), pages 685-700, September.
    11. Zhang, Jing & Wang, Qin & Mays, D'Arcy, 2021. "Robust MAVE through nonconvex penalized regression," Computational Statistics & Data Analysis, Elsevier, vol. 160(C).
    12. Kehinde Elijah Ajayi & Ify Lawrence Nwaogazie & Azubuike Hope Amadi & Victor Damilare Ola, 2024. "Assessing the Impact of Climate Change on Wind Energy Potential in Nigeria’s Coastal States: A Future Perspective," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(11), pages 46-62, November.
    13. Liu, Jin & Li, Rui & Li, Shuo & Meucci, Alberto & Young, Ian R., 2024. "Increasing wave power due to global climate change and intensification of Antarctic Oscillation," Applied Energy, Elsevier, vol. 358(C).
    14. Gao, Yan & Zhang, Xinyu & Wang, Shouyang & Zou, Guohua, 2016. "Model averaging based on leave-subject-out cross-validation," Journal of Econometrics, Elsevier, vol. 192(1), pages 139-151.
    15. A. Karagrigoriou & C. Koukouvinos & K. Mylona, 2010. "On the advantages of the non-concave penalized likelihood model selection method with minimum prediction errors in large-scale medical studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 13-24.
    16. J. Sierra & M. Casas-Prat, 2014. "Analysis of potential impacts on coastal areas due to changes in wave conditions," Climatic Change, Springer, vol. 124(4), pages 861-876, June.
    17. deCastro, M. & Rusu, L. & Arguilé-Pérez, B. & Ribeiro, A. & Costoya, X. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Different approaches to analyze the impact of future climate change on the exploitation of wave energy," Renewable Energy, Elsevier, vol. 220(C).
    18. Liu, Jin & Meucci, Alberto & Liu, Qingxiang & Babanin, Alexander V. & Ierodiaconou, Daniel & Xu, Xingkun & Young, Ian R., 2023. "A high-resolution wave energy assessment of south-east Australia based on a 40-year hindcast," Renewable Energy, Elsevier, vol. 215(C).
    19. Patrick Barnard & Maarten Ormondt & Li Erikson & Jodi Eshleman & Cheryl Hapke & Peter Ruggiero & Peter Adams & Amy Foxgrover, 2014. "Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1095-1125, November.
    20. Chesneau, Christophe & Dewan, Isha & Doosti, Hassan, 2016. "Nonparametric estimation of a quantile density function by wavelet methods," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 161-174.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:144:y:2019:i:c:p:69-73. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.