Discussion on "Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach"

Julie Bessac, Robert Underwood, Sheng Di

Research output: Contribution to journalArticlepeer-review


We thank the authors for this interesting paper that highlights important ideas and concepts for the future of climate model ensembles and their storage, as well as future uses of stochastic emulators. Stochastic emulators are particularly relevant because of the statistical nature of climate model ensembles, as discussed in previous work of the authors (Castruccio et al. in J Clim 32:8511-8522, 2019; Hu and Castruccio in J Clim 34:8409-8418, 2021). We thank the authors for sharing of some of their data with us in order to illustrate this discussion. In the following, in Sect. 1 we discuss alternative techniques currently used and studied, namely lossy compression and ideas emerging from the climate modeling community, that could feed the discussion on ensemble and storage. In that section, we also present numerical results of compression performed on the data shared by the authors. In Sect. 2, we discuss the current statistical model proposed by the authors and its context. We discuss other potential uses of stochastic emulators in climate and Earth modeling.
Original languageAmerican English
Pages (from-to)358-364
Number of pages7
JournalJournal of Agricultural, Biological, and Environmental Statistics
StatePublished - 2023

NREL Publication Number

  • NREL/JA-2C00-86477


  • climate model outputs
  • lossy compression
  • stochastic emulators


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