Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 19
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.
https://doi.org/10.5194/gmd-17-7285-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 19
Methods for assessment of models
 | 
14 Oct 2024
Methods for assessment of models |  | 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, Lisa V. Alexander, Marcus J. Thatcher, Son C. H. Truong, Rachael N. Isphording, and John L. McGregor

Supplement

https://doi.org/10.5194/gmd-17-7285-2024-supplement

Data sets

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

NCI ESGF Node NCI Australia https://esgf.nci.org.au/projects/esgf-nci/

NOAA OI SST V2 High Resolution Dataset NOAA https://www.psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html

NOAA Extended Reconstructed Sea Surface Temperature (ERSST) B. Huang et al. https://doi.org/10.7289/V5T72FNM

APHRODITE: Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges (https://www.chikyu.ac.jp/precip/english/index.html) A. Yatagai et al. https://doi.org/10.1175/BAMS-D-11-00122.1

Extended Reconstructed Sea Surface Temperature, Version~5 (ERSSTv5): Upgrades, Validations, and Intercomparisons (https://psl.noaa.gov/data/gridded/data.noaa.ersst.v5.html) B. Huang et al. https://doi.org/10.1175/JCLI-D-16-0836.1

Model code and software

aus_precip_benchmarking: Benchmarking Precipitation in Regional Climate Models: Jupyter Notebooks (Python) (v1.0) Rachael Isphording https://doi.org/10.5281/zenodo.8365065

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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. 
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