Skip to main content
SpringerLink
Log in

Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’

  • Published:
Journal of Agricultural, Biological and Environmental Statistics Aims and scope Submit manuscript

The Original Article was published on 11 May 2023

The Original Article was published on 11 May 2023

The Original Article was published on 11 May 2023

The Original Article was published on 11 May 2023

The Original Article was published on 11 May 2023

Abstract

We thank all the discussants for their valuable comments. Throughout this rejoinder, we denote the discussants by D = Datta, P = Poppick, BA = Banerjee, BU = Burr, BUD = Bessac, Underwood and Di. We will also use the same acronyms as in the discussion, i.e., VAE = Variational Autoencoders and DNN = Deep Neural Networks. We organize the rejoinder around four main themes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  • Baker AH, Hammerling DM, Mickelson SA, Xu H, Stolpe MB, Naveau P, Sanderson B, Ebert-Uphoff I, Samarasinghe S, De Simone F, Carbone F, Gencarelli CN, Dennis JM, Kay JE, Lindstrom P (2016) Evaluating lossy data compression on climate simulation data within a large ensemble. Geosci Model Dev 9:4381–4403

    Article  Google Scholar 

  • Castruccio S, Genton MG, Sun Y (2019) Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view (with discussion). J R Stat Soc Ser A 182(2):379–387

    Article  Google Scholar 

  • Genton MG, Castruccio S, Crippa P, Dutta S, Huser R, Sun Y, Vettori S (2015) Visuanimation in statistics. Stat 4(1):81–96

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Statistics Program, King Abdullah University of Science and Technology, 23955-6900, Thuwal, Saudi Arabia

    Huang Huang & Marc G. Genton

  2. Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, 46556, USA

    Stefano Castruccio

  3. Computational and Information Systems Lab, National Center for Atmospheric Research, Boulder, CO, 80305, USA

    Allison H. Baker

Authors
  1. Huang Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefano Castruccio
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Allison H. Baker
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marc G. Genton
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marc G. Genton.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is response to commentaries for https://doi.org/10.1007/s13253-023-00537-2, https://doi.org/10.1007/s13253-023-00538-1, https://doi.org/10.1007/s13253-023-00539-0, https://doi.org/10.1007/s13253-023-00540-7, https://doi.org/10.1007/s13253-023-00541-6.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, H., Castruccio, S., Baker, A.H. et al. Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’. JABES 28, 370–374 (2023). https://doi.org/10.1007/s13253-023-00542-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13253-023-00542-5

Search

Navigation