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
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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...
