https://orcid.org/0000-0002-9212-3950
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Peter F Craigmile, Peter Guttorp, Thordis L Thorarinsdottir, Peter F. Craigmile, Peter Guttorp, and Thordis L. Thorarinsdottir’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al., Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 2, March 2025, Pages 311–312, https://doi.org/10.1093/jrsssc/qlae080
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We thank the authors for an interesting article.
As the authors discuss, while direct temperature measurements are necessary to describe temperature extremes, available measurements are not adequate. Therefore, other sources of information are needed to bridge this gap, and outputs of physical models such as climate models or reanalyses (e.g. ERA5; Hersbach et al., 2020) can be used. A key question is then the role of the climate model output in modelling the body and the extremes of spatio-temporal distributions. We are missing an assessment of how useful is over a model that does not include . Similarly, can the climate model output inform upon the spatial extremal dependence? The climate model output used here is an aggregated estimate of temperature. Do specific parameter relationships ensue; e.g. along the lines of Richards and Tawn (2022)?
Each regional climate model is constructed differently, run with a different general circulation model (GCMs) as its boundary condition. The GCMs vary in their parameterizations and their use of different forcings for future scenarios. Can you discuss your choice of a regional climate model and how it compares with others? (see, e.g. Barnes et al., 2024).
