Projected bioclimatic variables

This section contains the projected bioclimatic variables, calculated from an ensemble of dynamically downscaled models from the Southeast Asia Regional Climate Downscaling/Coordinated Regional Climate Downscaling Experiment-Southeast Asia (CORDEX–SEA)(Tangang et al., 2022), shown in the table below. The ensemble data and projections underwent regridding from 0.22° x 0.22° to 0.1° x 0.1° to align with the ERA5-LAND grid, before undergoing Quantile Delta Mapping (Cannon et al., 2015), grouped by month and separated into 100 quantiles. Temperature variables underwent additive adjustment, while precipitation underwent multiplicative adjustment and frequency adaption to address dry day imbalances.

General Circulation Model	Regional Climate Model
CNRM-CERFACS-CNRM-CM5	SMHI-RCA4
CNRM-CM5	ICTP-RegCM4-3
IPSL-IPSL-CM5A-LR	ICTP-RegCM4-3
MOHC-HadGEM2-ES	GERICS-REMO2015
	ICTP-RegCM4-7
	SMHI-RCA4
MPI-M-MPI-ESM-LR	GERICS-REMO2015
MPI-M-MPI-ESM-MR	ICTP-RegCM4-3
	ICTP-RegCM4-7
NCC-NorESM1-M	GERICS-REMO2015
	ICTP-RegCM4-7
NOAA-GFDL-GFDL-ESM2M	ICTP-RegCM4-3

References
Cannon, A.J., Sobie, S.R. and Murdock, T.Q., 2015. Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes?. Journal of Climate, 28(17), pp.6938-6959.
Tangang, F., Chung, J.X., Cruz, F., Supari, Santisirisomboon, J., Ngo-Duc, T., Juneng, L., Salimun, E., Narisma, G., Dado, J. and Phan-Van, T., 2022. CORDEX southeast Asia: providing regional climate change information for enabling adaptation. In Extreme Natural Events: Sustainable Solutions for Developing Countries (pp. 3-21). Singapore: Springer Nature Singapore.