Articles | Volume 17, issue 19
https://doi.org/10.5194/gmd-17-7285-2024
© 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-17-7285-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
14 Oct 2024
Methods for assessment of models |
| 14 Oct 2024
| 14 Oct 2024
Selecting CMIP6 global climate models (GCMs) for Coordinated Regional Climate Downscaling Experiment (CORDEX) dynamical downscaling over Southeast Asia using a standardised benchmarking framework
Phuong Loan Nguyen
CORRESPONDING AUTHOR
ARC Centre of Excellence of Climate Extremes and Climate Change Research Centre, UNSW Sydney, Sydney, NSW 2052, Australia
ARC Centre of Excellence for the Weather of the 21st Century, UNSW Sydney, Sydney, NSW 2052, Australia
Lisa V. Alexander
ARC Centre of Excellence of Climate Extremes and Climate Change Research Centre, UNSW Sydney, Sydney, NSW 2052, Australia
ARC Centre of Excellence for the Weather of the 21st Century, UNSW Sydney, Sydney, NSW 2052, Australia
Marcus J. Thatcher
CSIRO Environment, Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria, Australia
Son C. H. Truong
CSIRO Environment, Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria, Australia
Rachael N. Isphording
ARC Centre of Excellence of Climate Extremes and Climate Change Research Centre, UNSW Sydney, Sydney, NSW 2052, Australia
ARC Centre of Excellence for the Weather of the 21st Century, UNSW Sydney, Sydney, NSW 2052, Australia
John L. McGregor
CSIRO Environment, Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria, Australia
Related authors
Son C. H. Truong, Marcus J. Thatcher, Phuong Loan Nguyen, Lisa V. Alexander, and John L. McGregor
EGUsphere, https://doi.org/10.5194/egusphere-2025-5847, https://doi.org/10.5194/egusphere-2025-5847, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
Understanding how rainfall may change in the future is vital for managing floods and water resources in Australia. We tested different ways of constraining a regional climate model so it better matched observed rainfall during the extreme 2010–11 La Niña wet event. The most effective settings produced much more realistic rainfall, increasing confidence in using the model to explore future rainfall patterns and extreme weather risks.
Son C. H. Truong, Marcus J. Thatcher, Phuong Loan Nguyen, Lisa V. Alexander, and John L. McGregor
EGUsphere, https://doi.org/10.5194/egusphere-2025-5847, https://doi.org/10.5194/egusphere-2025-5847, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
Understanding how rainfall may change in the future is vital for managing floods and water resources in Australia. We tested different ways of constraining a regional climate model so it better matched observed rainfall during the extreme 2010–11 La Niña wet event. The most effective settings produced much more realistic rainfall, increasing confidence in using the model to explore future rainfall patterns and extreme weather risks.
Justin Peter, Elisabeth Vogel, Wendy Sharples, Ulrike Bende-Michl, Louise Wilson, Pandora Hope, Andrew Dowdy, Greg Kociuba, Sri Srikanthan, Vi Co Duong, Jake Roussis, Vjekoslav Matic, Zaved Khan, Alison Oke, Margot Turner, Stuart Baron-Hay, Fiona Johnson, Raj Mehrotra, Ashish Sharma, Marcus Thatcher, Ali Azarvinand, Steven Thomas, Ghyslaine Boschat, Chantal Donnelly, and Robert Argent
Geosci. Model Dev., 17, 2755–2781, https://doi.org/10.5194/gmd-17-2755-2024, https://doi.org/10.5194/gmd-17-2755-2024, 2024
Short summary
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.
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Short summary
We use a comprehensive approach to select a subset of CMIP6 models for dynamical downscaling over Southeast Asia, taking into account model performance, model independence, data availability and the range of future climate projections. The standardised benchmarking framework is applied to assess model performance through both statistical and process-based metrics. Ultimately, we identify two independent model groups that are suitable for dynamical downscaling in the Southeast Asian region.
We use a comprehensive approach to select a subset of CMIP6 models for dynamical downscaling...
