Finding Climate Model Data

The climate model data was sourced from two types of downscaling techniques.

Statistically downscaled data from three GCMs (MIROC5, Nor-ESM1-M, IPSL-CM5A-MR) was obtained from the previous work of the Ministry of Public Works and Japan International Cooperation Agency in 2015. The statistical method used in the study considered two predictors (i.e. stream function ψ and velocity potential χ at level 850 mb). This was applied for five monsoon windows, representing three domain of defined Asia-Australia monsoon index, namely: AUSMI (Australian Monsoon Index), WNPMI (Western North Pacific Monsoon Index) 1, WNPMI 2, WYMI (Webster-Yang Monsoon Index) 1, and WYMI 2. Thus, there were around 30 model data ensembles (three GCMs × two predictors × five windows).

Dynamically downscaled data from six GCMs (ACCESS1.0, CCSM4, CNRM-CM5, GFDL-CM3, MPI-ESM-LR, and NorESM1-M) using the CCAM model were obtained from CSIRO. Simulations were performed globally at 50 km resolution using bias and variance correct sea surface temperatures generated by the above GCMs from 1971 to 2100 for two scenarios: RCP4.5 and RCP8.5.