Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2

Di Virgilio, Giovanni; Ji, Fei; Tam, Eugene; Evans, Jason P.; Kala, Jatin; Andrys, Julia; Thomas, Christopher; Choudhury, Dipayan; Rocha, Carlos; Li, Yue; Riley, Matthew L.

doi:https://doi.org/10.5194/gmd-18-703-2025

Articles | Volume 18, issue 3

https://doi.org/10.5194/gmd-18-703-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-703-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Model evaluation paper

|

07 Feb 2025

Model evaluation paper |

| 07 Feb 2025

Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2

Giovanni Di Virgilio, Fei Ji, Eugene Tam, Jason P. Evans, Jatin Kala, Julia Andrys, Christopher Thomas, Dipayan Choudhury, Carlos Rocha, Yue Li, and Matthew L. Riley

Supplement

https://doi.org/10.5194/gmd-18-703-2025-supplement

Data sets

NSW Climate Data Portal (CDP) NSW Government https://climatedata-beta.environment.nsw.gov.au/

CORDEX data ESGF https://esgf-metagrid.cloud.dkrz.de/search/cordex-dkrz/

Model code and software

Supporting information for "Evaluation of CORDEX ERA5-forced 'NARCliM2.0' regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2" Giovanni Di Virgilio et al. https://doi.org/10.5281/zenodo.11189898

Short summary

We evaluate the skill in simulating the Australian climate of some of the latest generation of regional climate models. We show when and where the models simulate this climate with high skill versus model limitations. We show how new models perform relative to the previous-generation models, assessing how model design features may underlie key performance improvements. This work is of national and international relevance as it can help guide the use and interpretation of climate projections.