Three Generations of <scp>NARCliM</scp> : Evaluation of Precipitation, Temperature and Their Extremes Over the <scp>CORDEX</scp> Australasia Domain

ABSTRACT The NSW and Australian Regional Climate Modelling Version 2.0 (NARCliM2.0) is the latest generation of regional climate modelling project, building on the success of NARCliM versions 1.0 and 1.5. Evaluating and comparing the three generations is crucial to ensure scientific credibility, improve model skill, enhance understanding of climate processes, and provide reliable information for climate risk assessment and adaptation planning. This study presents the first comprehensive evaluation and comparison of NARCliM2.0 in simulating precipitation, temperature, and their associated extremes for Australia, identifying key improvements over its predecessors. We assess the skill of individual regional climate models (RCMs) in simulating mean and extreme climate, rather than focusing solely on the ensemble mean as per previous studies. Results show NARCliM2.0 substantially improves simulations of multi‐model means of mean maximum temperature, precipitation and related extremes (e.g., TXx, TXge35, CDD, R99p), with notably reduced biases, particularly in southeast Australia. These improvements are largely due to advancements in RCM design, including enhanced model physics and higher resolution, resulting in lower domain‐averaged absolute biases and greater value for climate impact assessments. However, NARCliM 2.0 shows limited improvement in simulating mean minimum temperature and annual minimum temperature (TNn), reflecting ongoing challenges in representing night‐time processes. Overall, these findings provide valuable insights for future downscaling projects, emphasizing the importance of careful RCM configuration, model independence and continued development.

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Publication Details

Journal
International Journal of Climatology
Published
2026-04-24
DOI
https://doi.org/10.1002/joc.70353
Primary Topic
Climate variability and models
Type
article
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article

Three Generations of NARCliM : Evaluation of Precipitation, Temperature and Their Extremes Over the CORDEX Australasia Domain

Jatin Kala, Dipayan Choudhury, Eugene Tam, Matthew Riley et al.
International Journal of Climatology
Climate variability and models
article

Three Generations of NARCliM : Evaluation of Precipitation, Temperature and Their Extremes Over the CORDEX Australasia Domain

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

Abstract

ABSTRACT The NSW and Australian Regional Climate Modelling Version 2.0 (NARCliM2.0) is the latest generation of regional climate modelling project, building on the success of NARCliM versions 1.0 and 1.5. Evaluating and comparing the three generations is crucial to ensure scientific credibility, improve model skill, enhance understanding of climate processes, and provide reliable information for climate risk assessment and adaptation planning. This study presents the first comprehensive evaluation and comparison of NARCliM2.0 in simulating precipitation, temperature, and their associated extremes for Australia, identifying key improvements over its predecessors. We assess the skill of individual regional climate models (RCMs) in simulating mean and extreme climate, rather than focusing solely on the ensemble mean as per previous studies. Results show NARCliM2.0 substantially improves simulations of multi‐model means of mean maximum temperature, precipitation and related extremes (e.g., TXx, TXge35, CDD, R99p), with notably reduced biases, particularly in southeast Australia. These improvements are largely due to advancements in RCM design, including enhanced model physics and higher resolution, resulting in lower domain‐averaged absolute biases and greater value for climate impact assessments. However, NARCliM 2.0 shows limited improvement in simulating mean minimum temperature and annual minimum temperature (TNn), reflecting ongoing challenges in representing night‐time processes. Overall, these findings provide valuable insights for future downscaling projects, emphasizing the importance of careful RCM configuration, model independence and continued development.

International Journal of Climatology
Australian Research Council (AU), Murdoch University (AU), ARC Centre of Excellence for Climate System Science (AU), Department of Environment, Land, Water and Planning (AU)
Climate action
Openalex Percentile: Top 5%
Climate variability and models
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