Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-731-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-731-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Performance and process-based evaluation of the BARPA-R Australasian regional climate model version 1
Emma Howard
CORRESPONDING AUTHOR
Bureau of Meteorology, Brisbane, Australia
Chun-Hsu Su
Bureau of Meteorology, Melbourne, Australia
Christian Stassen
Bureau of Meteorology, Melbourne, Australia
Rajashree Naha
Bureau of Meteorology, Melbourne, Australia
School of Earth, Atmosphere & Environment, Monash University, Melbourne, Australia
Harvey Ye
Bureau of Meteorology, Melbourne, Australia
Acacia Pepler
Bureau of Meteorology, Sydney, Australia
Samuel S. Bell
Bureau of Meteorology, Melbourne, Australia
Andrew J. Dowdy
Bureau of Meteorology, Melbourne, Australia
Simon O. Tucker
UK Met Office, Exeter, United Kingdom
Charmaine Franklin
Bureau of Meteorology, Melbourne, Australia
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Cited
14 citations as recorded by crossref.
- Fifteen years of regional climate downscaling in CORDEX-Australasia J. Evans et al. https://doi.org/10.1371/journal.pclm.0001066
- Projections of Australian low pressure systems in downscaled CMIP6 models A. Pepler et al. https://doi.org/10.1071/ES25025
- Three generations of NARCliM: future projections of mean and extreme climate over the CORDEX Australasia domain F. Ji et al. https://doi.org/10.1038/s41612-025-01280-w
- Multivariate Climate Analogues for Australian Viticulture Regions Under Climate Change K. Luk et al. https://doi.org/10.1155/ajgw/3198005
- Assessing the Reliability of High-Resolution CCAM-ACS Precipitation Projections: Implications for Drought and Wheat Exposure Across Australia M. Rezaie-Balf & L. Chua https://doi.org/10.1007/s41748-026-01272-7
- Including rainfall sequencing and autocorrelation adjustment as a component of bias correction for hydroclimate projections N. Potter et al. https://doi.org/10.1016/j.envsoft.2026.107121
- Novel climate analysis methods applied to the Australian ESCI projections data A. Dowdy & A. King https://doi.org/10.3389/fclim.2024.1492228
- The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble: evaluation and benchmarking for megacities of SEA P. Nguyen et al. https://doi.org/10.5194/gmd-19-7653-2026
- Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 G. Di Virgilio et al. https://doi.org/10.5194/gmd-18-703-2025
- The Australian regional atmospheric reanalysis system, version 2 – BARRA2 C. Su et al. https://doi.org/10.1071/ES25032
- Added value analysis of a CMIP6-based downscaling ensemble for Australian climate projections C. Stassen et al. https://doi.org/10.1071/ES25014
- Towards benchmarking the dynamically downscaled CMIP6 CORDEX-Australasia ensemble over Australia X. Jiang et al. https://doi.org/10.1071/ES24050
- An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
- Spectral nudging impacts on precipitation downscaling in the Conformal Cubic Atmospheric Model, version CCAM-2504: insights from summer 2011 S. Truong et al. https://doi.org/10.5194/gmd-19-6991-2026
14 citations as recorded by crossref.
- Fifteen years of regional climate downscaling in CORDEX-Australasia J. Evans et al. https://doi.org/10.1371/journal.pclm.0001066
- Projections of Australian low pressure systems in downscaled CMIP6 models A. Pepler et al. https://doi.org/10.1071/ES25025
- Three generations of NARCliM: future projections of mean and extreme climate over the CORDEX Australasia domain F. Ji et al. https://doi.org/10.1038/s41612-025-01280-w
- Multivariate Climate Analogues for Australian Viticulture Regions Under Climate Change K. Luk et al. https://doi.org/10.1155/ajgw/3198005
- Assessing the Reliability of High-Resolution CCAM-ACS Precipitation Projections: Implications for Drought and Wheat Exposure Across Australia M. Rezaie-Balf & L. Chua https://doi.org/10.1007/s41748-026-01272-7
- Including rainfall sequencing and autocorrelation adjustment as a component of bias correction for hydroclimate projections N. Potter et al. https://doi.org/10.1016/j.envsoft.2026.107121
- Novel climate analysis methods applied to the Australian ESCI projections data A. Dowdy & A. King https://doi.org/10.3389/fclim.2024.1492228
- The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble: evaluation and benchmarking for megacities of SEA P. Nguyen et al. https://doi.org/10.5194/gmd-19-7653-2026
- Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 G. Di Virgilio et al. https://doi.org/10.5194/gmd-18-703-2025
- The Australian regional atmospheric reanalysis system, version 2 – BARRA2 C. Su et al. https://doi.org/10.1071/ES25032
- Added value analysis of a CMIP6-based downscaling ensemble for Australian climate projections C. Stassen et al. https://doi.org/10.1071/ES25014
- Towards benchmarking the dynamically downscaled CMIP6 CORDEX-Australasia ensemble over Australia X. Jiang et al. https://doi.org/10.1071/ES24050
- An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
- Spectral nudging impacts on precipitation downscaling in the Conformal Cubic Atmospheric Model, version CCAM-2504: insights from summer 2011 S. Truong et al. https://doi.org/10.5194/gmd-19-6991-2026
Saved (final revised paper)
Latest update: 12 Oct 2026
Short summary
The BARPA-R modelling configuration has been developed to produce high-resolution climate hazard projections within the Australian region. When using boundary driving data from quasi-observed historical conditions, BARPA-R shows good performance with errors generally on par with reanalysis products. BARPA-R also captures trends, known modes of climate variability, large-scale weather processes, and multivariate relationships.
The BARPA-R modelling configuration has been developed to produce high-resolution climate hazard...