MfopaC/cmip6-climate-scenarios-SAWS-DFFE

This repository provides tools and scripts for calculating climate indices developed by the South African Weather Service using CMIP6 climate projections across South Africa. The analysis combines data from bio-climatic regions and urban centers to asses extreme climate events # cmip6-climate-scenarios-SAWS-DFFE This repository provides tools and scripts to calculate climate indices using CMIP6 climate projections. It utilises data from NASA’s Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) to analyse climate extremes across South Africa. The analysis encompasses multiple Shared Socioeconomic Pathways (SSP) climate change scenarios spanning various future timeframes for South Africa. It also integrates information from bio-climatic regions and urban centres to support regional climate impact assessments. ## List of supported models Configure to download data from subset of *25 CMIP6 models*, selected for data consistency and availability. ACCESS-CM2 ACCESS-ESM1-5 BCC-CSM2-MR CMCC-CM2-SR5 CMCC-ESM2 CanESM5 EC-Earth3 EC-Earth3-Veg-LR GFDL-CM4 GFDL-CM4_gr2 GFDL-ESM4 IITM-ESM INM-CM4-8 INM-CM5-0 IPSL-CM6A-LR KACE-1-0-G KIOST-ESM MIROC6 MPI-ESM1-2-HR MPI-ESM1-2-LR MRI-ESM2-0 NESM3 NorESM2-LM NorESM2-MM TaiESM1 ## Ensemble member All model downloads use the same ensemble member *r1i1p1f1* ## Grid label consideration Please note the grid label varies between models, therefor adjust accordingly for data download. "gn" "gr" "gr1" and "gr2" ## Getting started git clone github.com cmip6-climate-scenarios-SAWS-DFFE.git cd cmip6-climate-scenarios-SAWS-DFFE cd scripts cd pr ## Install libraries pip install xarray pandas geopandas regionmask matplotlib numpy cftime ## Run script