Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2755-2024
© 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-17-2755-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Continental-scale bias-corrected climate and hydrological projections for Australia
Justin Peter
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia
Elisabeth Vogel
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
Wendy Sharples
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Ulrike Bende-Michl
CORRESPONDING AUTHOR
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Louise Wilson
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Met Office, International Climate Services, Exeter, United Kingdom
Pandora Hope
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Andrew Dowdy
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Greg Kociuba
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Sri Srikanthan
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Vi Co Duong
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Jake Roussis
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Vjekoslav Matic
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Zaved Khan
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
CSIRO Environment, GPO Box 1700, Canberra, ACT 2601, Australia
Alison Oke
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Margot Turner
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Stuart Baron-Hay
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Fiona Johnson
Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
Raj Mehrotra
Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
Ashish Sharma
Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
Marcus Thatcher
CSIRO Marine and Atmospheric Research, Aspendale, VIC 3195, Australia
Ali Azarvinand
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Steven Thomas
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Ghyslaine Boschat
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Chantal Donnelly
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
Robert Argent
Australian Bureau of Meteorology, GPO Box 1289K, Melbourne, VIC 3001, Australia
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Cited
14 citations as recorded by crossref.
- Future changes in seasonal drought in Australia A. Ukkola et al. https://doi.org/10.5194/hess-30-1463-2026
- Review of bias correction methods for climate model outputs in hydrology A. Menapace et al. https://doi.org/10.1016/j.jhydrol.2025.133213
- An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
- Future changes to meteorological drought in Australia: insights from the Australian Climate Service’s drought and changes in aridity team J. Bhardwaj et al. https://doi.org/10.1071/ES25057
- Multi-criteria hybrid-based bias correction selection, and machine learning ensemble modeling to improve extreme climate event projections in the Tendaho Catchment, Ethiopia A. Guyasa et al. https://doi.org/10.1007/s00704-025-05908-y
- Rainfall Extremes Analysis in Arid Regions Under Climate Change: A Structured Review of Methods and Approaches A. Abdelkhalek et al. https://doi.org/10.3390/cli14050100
- Terrestrial water storage in Australia under stress from compound climate extremes C. Ndehedehe et al. https://doi.org/10.1016/j.resenv.2025.100242
- Novel climate analysis methods applied to the Australian ESCI projections data A. Dowdy & A. King https://doi.org/10.3389/fclim.2024.1492228
- Estimating non-optimal temperature-attributable burden of Salmonella and Campylobacter infections under various climate change, population, and adaptation scenarios in Australia: a comparative risk assessment modelling study Y. Damtew et al. https://doi.org/10.1016/j.lanplh.2025.101383
- Projections of actual and potential evapotranspiration from downscaled high-resolution CMIP6 climate simulations in Australia H. Zhang et al. https://doi.org/10.5194/hess-29-6863-2025
- The projected changes of hydrological indicators in European catchments with different climatic conditions A. Kis & R. Pongrácz https://doi.org/10.1080/02626667.2024.2390908
- Downscaled projections of bioclimatic indices for species distribution modelling in Australia—a case study for the greater glider N. Toombs et al. https://doi.org/10.1088/2752-5295/ae70a5
- An improved modelling chain for bias-adjusted high-resolution climate and hydrological projections for Norway S. Huang et al. https://doi.org/10.5194/gmd-19-4567-2026
- Historical trends of seasonal droughts in Australia M. Grant et al. https://doi.org/10.5194/hess-29-5555-2025
14 citations as recorded by crossref.
- Future changes in seasonal drought in Australia A. Ukkola et al. https://doi.org/10.5194/hess-30-1463-2026
- Review of bias correction methods for climate model outputs in hydrology A. Menapace et al. https://doi.org/10.1016/j.jhydrol.2025.133213
- An intercomparison of climate model bias correction methods across Australia D. Irving et al. https://doi.org/10.1071/ES25023
- Future changes to meteorological drought in Australia: insights from the Australian Climate Service’s drought and changes in aridity team J. Bhardwaj et al. https://doi.org/10.1071/ES25057
- Multi-criteria hybrid-based bias correction selection, and machine learning ensemble modeling to improve extreme climate event projections in the Tendaho Catchment, Ethiopia A. Guyasa et al. https://doi.org/10.1007/s00704-025-05908-y
- Rainfall Extremes Analysis in Arid Regions Under Climate Change: A Structured Review of Methods and Approaches A. Abdelkhalek et al. https://doi.org/10.3390/cli14050100
- Terrestrial water storage in Australia under stress from compound climate extremes C. Ndehedehe et al. https://doi.org/10.1016/j.resenv.2025.100242
- Novel climate analysis methods applied to the Australian ESCI projections data A. Dowdy & A. King https://doi.org/10.3389/fclim.2024.1492228
- Estimating non-optimal temperature-attributable burden of Salmonella and Campylobacter infections under various climate change, population, and adaptation scenarios in Australia: a comparative risk assessment modelling study Y. Damtew et al. https://doi.org/10.1016/j.lanplh.2025.101383
- Projections of actual and potential evapotranspiration from downscaled high-resolution CMIP6 climate simulations in Australia H. Zhang et al. https://doi.org/10.5194/hess-29-6863-2025
- The projected changes of hydrological indicators in European catchments with different climatic conditions A. Kis & R. Pongrácz https://doi.org/10.1080/02626667.2024.2390908
- Downscaled projections of bioclimatic indices for species distribution modelling in Australia—a case study for the greater glider N. Toombs et al. https://doi.org/10.1088/2752-5295/ae70a5
- An improved modelling chain for bias-adjusted high-resolution climate and hydrological projections for Norway S. Huang et al. https://doi.org/10.5194/gmd-19-4567-2026
- Historical trends of seasonal droughts in Australia M. Grant et al. https://doi.org/10.5194/hess-29-5555-2025
Saved (final revised paper)
Latest update: 25 Jun 2026
Short summary
We detail the production of datasets and communication to end users of high-resolution projections of rainfall, runoff, and soil moisture for the entire Australian continent. This is important as previous projections for Australia were for small regions and used differing techniques for their projections, making comparisons difficult across Australia's varied climate zones. The data will be beneficial for research purposes and to aid adaptation to climate change.
We detail the production of datasets and communication to end users of high-resolution...