JOURNAL ARTICLE
Jonathan Koh's contribution to the Discussion of 'Inference for extreme spatial temperature events in a changing climate with application to Ireland' by Healy et al.
Published In: Journal of the Royal Statistical Society: Series C (Applied Statistics), 2025, v. 74, n. 2. P. 315 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Koh, Jonathan 3 of 3
Abstract
The article discusses the drivers of heat extremes, focusing on global thermodynamics, local land surface feedbacks, and regional dynamic conditions. It compares the use of CO2 and climate model statistics as covariates in understanding extreme temperature events. The author suggests further research to consider all three drivers in the r-Pareto process framework to assess the impact of climate change on weather patterns. The article also mentions the use of reanalyses to replace missing data and highlights the importance of addressing spatial resolution mismatches in data sources. [Extracted from the article]
Additional Information
- Source:Journal of the Royal Statistical Society: Series C (Applied Statistics). 2025/03, Vol. 74, Issue 2, p315
- Document Type:Letter to the Editor
- Subject Area:Earth and Atmospheric Sciences
- Publication Date:2025
- ISSN:0035-9254
- DOI:10.1093/jrsssc/qlae089
- Accession Number:183987628
- Copyright Statement:Copyright of Journal of the Royal Statistical Society: Series C (Applied Statistics) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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