Performance and process-based evaluation of the BARPA-R Australasian regional climate model version 1

Howard, Emma; Su, Chun-Hsu; Stassen, Christian; Naha, Rajashree; Ye, Harvey; Pepler, Acacia; Bell, Samuel S.; Dowdy, Andrew J.; Tucker, Simon O.; Franklin, Charmaine

doi:https://doi.org/10.5194/gmd-17-731-2024

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.

Special issue:

The Australian Community Climate and Earth System Simulator:...

https://doi.org/10.5194/gmd-17-731-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 2

Model evaluation paper

|

29 Jan 2024

Model evaluation paper |

| 29 Jan 2024

Performance and process-based evaluation of the BARPA-R Australasian regional climate model version 1

Emma Howard, Chun-Hsu Su, Christian Stassen, Rajashree Naha, Harvey Ye, Acacia Pepler, Samuel S. Bell, Andrew J. Dowdy, Simon O. Tucker, and Charmaine Franklin

Data sets

Performance and process-based evaluation of BARPA-R Emma Howard et al. https://doi.org/10.5281/zenodo.8157697

ERA5 Replicated Datasets (Version 1) NCI Australia https://doi.org/10.25914/5F48874388857

Australian Gridded Climate Data (AGCD) (Version 1) Bureau Of Meteorology https://doi.org/10.25914/6009600304B02

Bureau of Meteorology Atmospheric Regional Projections for Australia (BARPA) Bureau Of Meteorology https://doi.org/10.25914/Z1X6-DQ28

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.