Fordham, Saoirse and Murphy, Conor (2026) The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes. International Journal of Climatology (70346). pp. 1-16. ISSN 0899-8418
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Abstract
Detecting the emergence of anthropogenic climate change signals in precipitation is essential for informing adaptation strategies. This study analyses long‐term, quality‐assured observations from 36 stations across Ireland (1930–2019) to assess trends and emergence in six seasonal precipitation indices. Using a combination of Mann‐Kendall trend testing, Theil‐Sen slope estimation, and monthly persistence analysis, robust seasonal changes are identified. Emergence is evaluated by regressing local precipitation indices against global mean surface temperature (GMST), with the resulting signal‐to‐noise ratio (SNR) classified as normal, unusual, or unfamiliar relative to early industrial (1850–1900) and modern (1950–1980) baselines. The influence of the North Atlantic Oscillation (NAO) is also assessed using commonality analysis. Results show statistically significant intensification of rainfall extremes, particularly in western Ireland during winter and spring, and in the southeast during summer and autumn. Many stations exhibit significant relationships with GMST, with increases in extreme indices (e.g., Rx5day, SDII) ranging from 12% to 27% per °C of warming, often exceeding thermodynamic expectations. Emergence of unusual climate conditions is already evident at several stations relative to the early industrial baseline, and many are nearing this threshold for the modern baseline. While NAO variability strongly modulates winter precipitation extremes in the west, significant GMST relationships in the SNR analysis indicate that these are still robust climate change signals. Commonality analysis reveals that GMST and NAO jointly explain variability in winter PRCPTOT and Rx5day at western stations, suggesting that natural modes of variability like the NAO may not be independent noise but rather embedded within a warming climate signal, complicating the separation of anthropogenic and natural drivers in attribution studies. Findings also challenge projections of widespread summer drying with warming, instead revealing intensification of short‐duration extremes in the southeast. As Ireland faces increasingly intense and seasonally variable rainfall extremes, regionally tailored adaptation strategies will be essential.
| Item Type: | Article |
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| Additional Information: | We thank Met Éireann and the Office of Public Works for meteorological and hydrological data, respectively. This research was supported by the Irish Environmental Protection Agency (EPA) and Met Éireann via the HydroDARE project (2022-CE-1132), the Co-Centre for Climate + Biodiversity + Water programme (NE/Y006496/) funded by Research Ireland, Northern Ireland's Department of Agriculture, Environment and Rural Affairs (DAERA) and UK Research and Innovation (UKRI) and from Met Éireann's Weather and Climate Research Program ‘TRANSLATE’ via the EXACT project (2024-1127). |
| Keywords: | climate change;| Ireland; long- term trends; precipitation extremes; signal to noise; |
| Academic Unit: | Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS |
| Item ID: | 21326 |
| Identification Number: | 10.1002/joc.70346 |
| Depositing User: | ICARUS Geography |
| Date Deposited: | 19 Mar 2026 12:46 |
| Journal or Publication Title: | International Journal of Climatology |
| Publisher: | Royal Meteorological Society |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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