Framework for statistical downscaling of global climate model geopotential thickness fields to maximum temperature in Southern Africa

Maximum temperature and rainfall observed data files were downloaded from the IRI Data Library as well as the model predicted 850-to-500 geopotential thickness fields (used to predict maximum temperature over southern Africa) and 850 circulation data fields (predictor for rainfall). Model Output statistics in CPT - climate predictability tool, was set up using CCA - canonical correlation analysis to produce retroactive forecasts. MATLAB was further utilized to post-process / fine-tune the output from CPT and to produce other results. Global climate model was developed for utilization of optimised maximum temperature seasonal climate forecasts to aid climate change adaptation in the region.