Three generations of NARCliM: future projections of mean and extreme climate over the CORDEX Australasia domain

Regional climate simulations provide essential high-resolution information for climate services. This study evaluates future changes in mean climate and 10 extremes using three generations of the NARCliM (NSW and Australian Regional Climate Modelling) project, which downscale CMIP3, CMIP5, and CMIP6 models. Projections show statistically significant increases in maximum and minimum temperatures across all NARCliM generations, with consistent spatial patterns. The magnitude of warming is primarily influenced by driving GCMs and emissions scenarios. In contrast, precipitation projections exhibit greater variability between generations, reflecting model and scenario differences and underscoring the challenge of projecting future precipitation. Extreme heat indices are projected to increase across Australia, with consistent spatial patterns and stronger changes under higher emissions, indicating more frequent and severe extreme heat events. Precipitation extremes display more variability across regions, model generations, and scenarios, although certain trends are robust. The intensity of very extreme rainfall (above the 99th percentile) is projected to increase, as is the maximum length of dry spells. Conversely, the maximum length of wet spells and the number of heavy rain days are expected to decrease. NARCliM2.0 specifically suggests shorter wet periods and fewer heavy rain days, but more intense extreme rainfall. These findings demonstrate the relative robustness of temperature and its extremes compared to precipitation and emphasize the value of broader GCM ensembles in future downscaling efforts to improve confidence in regional projections.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2026-01-14
DOI
https://doi.org/10.1038/s41612-025-01280-w
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Three generations of NARCliM: future projections of mean and extreme climate over the CORDEX Australasia domain

Carlos Rocha, Jatin Kala, Dipayan Choudhury, Eugene Tam et al.
npj Climate and Atmospheric Science
Climate variability and models
article

Three generations of NARCliM: future projections of mean and extreme climate over the CORDEX Australasia domain

Carlos Rocha, Jatin Kala, Dipayan Choudhury, Eugene Tam, Yue Li, Matthew Riley, Julia Andrys, Rishav Goyal, Fei Ji, Giovanni Di Virgilio, Jason P. Evans, Moutassem El Rafei, Stephen White
article en

Abstract

Regional climate simulations provide essential high-resolution information for climate services. This study evaluates future changes in mean climate and 10 extremes using three generations of the NARCliM (NSW and Australian Regional Climate Modelling) project, which downscale CMIP3, CMIP5, and CMIP6 models. Projections show statistically significant increases in maximum and minimum temperatures across all NARCliM generations, with consistent spatial patterns. The magnitude of warming is primarily influenced by driving GCMs and emissions scenarios. In contrast, precipitation projections exhibit greater variability between generations, reflecting model and scenario differences and underscoring the challenge of projecting future precipitation. Extreme heat indices are projected to increase across Australia, with consistent spatial patterns and stronger changes under higher emissions, indicating more frequent and severe extreme heat events. Precipitation extremes display more variability across regions, model generations, and scenarios, although certain trends are robust. The intensity of very extreme rainfall (above the 99th percentile) is projected to increase, as is the maximum length of dry spells. Conversely, the maximum length of wet spells and the number of heavy rain days are expected to decrease. NARCliM2.0 specifically suggests shorter wet periods and fewer heavy rain days, but more intense extreme rainfall. These findings demonstrate the relative robustness of temperature and its extremes compared to precipitation and emphasize the value of broader GCM ensembles in future downscaling efforts to improve confidence in regional projections.

npj Climate and Atmospheric ScienceVol. 9(1)
Australian Research Council (AU), Murdoch University (AU), UNSW Sydney (AU), Department of Environment, Land, Water and Planning (AU)
National Computational Infrastructure, Australian Government, National Cancer Institute
Climate action
Openalex Percentile: Top 93%
Climate variability and models
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