Articles | Volume 29, issue 15
https://doi.org/10.5194/hess-29-3527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-3527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Aug 2025
Research article |
| 05 Aug 2025
| 05 Aug 2025
Comparison of BARRA and ERA5 in replicating mean and extreme precipitation over Australia
Kevin K. W. Cheung
CORRESPONDING AUTHOR
School of Emergency Management, Nanjing University of Information Science and Technology, Jiangsu 210044, China
Fei Ji
Science and Insights Division, NSW Department of Climate Change, Energy, the Environment and Water, Sydney, NSW 2150, Australia
Australian Research Council Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
Nidhi Nishant
Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia
Jin Teng
CSIRO Environment, GPO Box 1700, Canberra, ACT 2601, Australia
James Bennett
CSIRO Environment, Research Way, Clayton, VIC 3168, Australia
De Li Liu
NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia
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Short summary
This study evaluates two reanalysis datasets, which are critical in climate, weather research, and water resources analysis, for the Australian region in terms of simulating daily mean precipitation and six other selected precipitation extremes. While spatial patterns of mean precipitation are well reproduced, substantial biases exist in precipitation variability, trends, and extremes. Caution in applying these datasets is thus advised in terms of the latter aspects.
This study evaluates two reanalysis datasets, which are critical in climate, weather research,...
